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Executive talks

The American University of Beirut as sanctuary amid horrors and incubator of hope

by Executive Editors April 18, 2026
written by Executive Editors

A SERIES OF LIVE-STREAMED ONE-ON-ONE DISCUSSIONS WITH LEADING STAKEHOLDERS IN ECONOMIC, SOCIAL AND POLICY REALMS WEIGHING IN ON ONE OF THE MOST TURBULENT PERIOD’S IN LEBANON’S MODERN HISTORY

The American University of Beirut, whose over 150 commencement ceremonies have launched graduates, change makers and future leaders across the Middle East and beyond, operates today under conditions that few other universities would be able to bear. AUB elevates minds and withstands threats and recurrent emergencies while operating in the heart of a besieged capital city of a country in economic collapse.

What can Lebanese higher education offer the region and the world at this moment in time? How is AUB meeting the moment and preparing for the future?

Join us for a candid conversation with AUB President Dr. Fadlo R. Khuri to discuss the impact of the immediate and ongoing security situation on higher education in Lebanon.

April 18, 2026 0 comments
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Executive talks

Higher education in times of turbulence

by Executive Editors April 9, 2026
written by Executive Editors

Executive talks to Dr. Chaouki Abdallah, President of the Lebanese American University, about how higher education leadership is responding to Lebanon’s ongoing turbulence, what sets Lebanese students apart, and the challenges and opportunities facing the country’s academic sector.

April 9, 2026 0 comments
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Explainer

From Data to Decision

by Jamile youssef March 30, 2026
written by Jamile youssef

The Lebanese people’s suffering and misery is a seemingly never-ending story. Its latest data point is February 28, 2026. The day when a “pre-emptive” attack pitted Israeli and US aggressors against Iranian ideological theocrats in mutual acts of war which UN Secretary General Antonio Guterres, immediately and emphatically, condemned as violations of Article 2 of the UN Charta by the three conflict actors.

But regardless of all words and better knowledge, Hezbollah’s missiles and drones, and soon the much more destructive IDF military inventories started being deployed from and against Lebanon. From a March 1 perspective, the only predictable outcome is the horrid civilian body counts and massive economic destruction on the Lebanese side that are in no way proportional correlation to the Arab instigators of “retaliation”.

Again. And again. And again, Lebanon’s diverse residents will not only suffer immediate pains beyond measure but economic growth will be regressing and investors’ justified fears will paralyse all economic development plans of another, hapless, Lebanese government. If, by Executive editors’ educated guestimate, a virtuous cycle of real and sustainable economic growth would take x, y, and z (x years, y overdue systemic reforms and innovations, and $80 to 100 million in capital expenditure) the first variable has moved to x+1 (or more) years, and $90 to 120 million capex.

However, when intoning the latest dire over the local fortunes, it must not be forgotten that regional instability and deliberate aggressions are not the only causes of the country’s perennial malaise. One particular structural weakness (among a plethora of systemic problems) that lies beneath Lebanon’s economic crisis and financial collapse is the absence of institutionalized economic intelligence to guide decision-making. This shall be the focus of this analysis, because it might be the only ingredient in the cauldron of current disasters that the Lebanese people can mitigate and counteract.

For decades, Lebanon operated without a systematic framework to anticipate economic risks, simulate policy outcomes, or align fiscal, monetary, and sectoral policies. To immediately rectify a common misperception of local stakeholders: this structural weakness is not due to a total absence of data collection and analysis. Baque du Liban (BDL), the Lebanese central bank, continues to publish monetary and financial indicators; however, certain components have not been updated in recent years. The two ministries of finance and of economy equally have released reports and statistics, but publication has been absent in recent years. The Central Administration of Statistics has maintained monthly publication of the Consumer Price Index (increased from quarterly publication in 2007), yet other critical datasets have not been updated with the same frequency.

The issue, therefore, is not the complete absence of data, but uneven publication cycles and the lack of consistency and continuity across institutions. As a result, decisions have often been taken under pressure, without assessing broader economic trade-offs or long-term consequences.

In the Lebanese case, data informs intellectual insight, arguments, debates and roadmaps – and Executive’s economic roadmap is as much a proof in this pudding and other consultancy papers and civil society studies – but the local lesson is that it does not guide decisions. What is missing is not technical expertise, but an institutional system that connects data, analysis, and policy in a structured way. Economic intelligence is that system. It is the capacity to transform data into analysis, analysis into scenarios, and scenarios into informed policy choices.

What is economic intelligence?

The government’s decision in mid-February of this year to raise public sector wages and finance it through higher fuel prices and value added taxes, is an example for a fiscal decision, taken under pressure, that affects the entire economic system. Such measures influence inflation, household purchasing power, and business costs. These decisions cannot be treated as isolated fiscal adjustments. They require careful assessment of risks, projected outcomes, and trade-offs before implementation. That structured capacity to anticipate impacts and align policy with economic conditions is what defines economic intelligence.

Economic intelligence is a core function of modern governance. It strengthens economic resilience and enables informed decision-making, particularly in periods of uncertainty. While the term is not commonly used in Lebanon, the concept is central to how effective governments manage their economies.

Data alone does not generate clarity. Statistics describe what is happening, but they do not explain why it is happening, how variables interact, or what the consequences of policy changes may be. Inflation, for example, cannot be analysed and understood alone. A rise in prices may result from currency depreciation, supply shortages, monetary policy, fiscal expansion, or global commodity shocks. Without a framework that maps these relationships, policymakers operate with separate data points rather than an interconnected system. At its foundation, economic intelligence is the systematic collection and analysis of economic information to inform public policy. It requires observing variables across months and years, to allow policymakers to identify trends and cycles.

Beyond data, economic intelligence demands technical and institutional capacity. Governments must be able to construct and interpret economic models. Economic models are the analytical tools that simulate how key variables interact and how policy interventions may influence outcomes. These models build relationships between different variables and enable authorities to test alternative scenarios before reforms are implemented.

However, this alone is insufficient. Statistical agencies, ministries of finance, central banks, and planning entities must coordinate to operate within an integrated system were analysis flows directly into policy decision-making. Transnational entities such as the International Monetary Fund, the World Bank, or the Organisation for Economic Co-operation and Development, as well as governments in developed and developing nations around the world, usually through either capacious ministries and central banks or independent economic expert councils, rely on structured modelling frameworks to produce macroeconomic forecasts and analysis. These exercises are not only statistical reports, but they also evaluate current situations and adverse scenarios, quantify risks, and help policymakers understand the consequences of different policy choices.

How economic models are built

Economic models may appear complex or technical. In reality, they are built through a logical and structured sequence. The process begins with reliable data. Governments and institutions gather information such as national income, inflation, employment, public finances, trade flows, interest rates, and sectoral performance. However, raw data alone is only descriptive and insufficient. It tells us what is happening, but not why it is happening or what may come. The next step involves asking the right questions about how impactful variables interact. For instance, how does inflation respond to changes in the national exchange rate, how might changes in taxation influence revenues, investment behaviour, and distributional outcomes, or how will energy prices affect production costs across sectors?

These relationships are not assumed; they are estimated using historical patterns and empirical analysis. From there, models include assumptions. Assumptions reflect expected trends in growth, fiscal policy, monetary conditions, demographic shifts, or external factors such as global commodity prices. Assumptions also often determine the direction of projections.

Once relationships and assumptions are defined, models generate scenarios. Scenarios may reflect current policies and expected trends. It may also project fiscal adjustment, economic reform, or an external shock. By comparing these outcomes, policymakers can assess potential consequences before decisions are made and implemented. The economic modelling results must be interpreted within institutional, political, and social contexts.

Economic intelligence shifts policymaking from reacting to problems toward planning. The difference does not lie in the amount of data available, but in the ability to use that data in a structured way. Economic models are tools that help governments project future deficits and assess, for example, whether public debt is becoming unsustainable or how shocks may affect different sectors. Their effectiveness, however, depends on whether institutions are capable of interpreting outcomes and integrating its findings into policy decision-making.

Lessons in economic intelligence

Economic intelligence is not exclusive to advanced economies. Many countries that have undergone structural transformation share a common institutional trait: they built systems that allowed them to anticipate economic developments rather than respond only after crises. Their success did not come from having more data, but from organizing that data into structured forecasting, coordinated planning, and scenario-based decision-making.

Japan is widely considered as one of the most advanced and coherent economic intelligence systems in the world. The Ministry of International Trade and Industry played a central role in shaping Japan’s economic strategy by aligning trade policy, technological development, and macroeconomic planning. Sectoral data, export performance, and global market trends were continuously assessed to guide strategic economic decisions. Economic intelligence was embedded across institutions: government agencies gathered and analysed macroeconomic indicators, corporations contributed real-time market information, and research institutions supported forecasting methodologies. This institutional coordination created an environment in which policy decisions were informed by forward-looking analysis rather than reactive adjustments.

The United Arab Emirates (UAE) represents a different but equally instructive model. Aware of the risk of long-term oil dependency, the UAE embedded scenario planning and fiscal sustainability into its national development strategies. Diversification into logistics, aviation, tourism, financial services, and renewable energy did not emerge spontaneously, it was guided by structured assessments of global trade flows, demographic changes, fiscal projections, and energy price volatility. Oil revenues were treated as uncertain variables within macro-fiscal scenarios rather than permanent guarantees of growth. Economic intelligence, in this context, became a mechanism for risk management. By modelling revenue fluctuations and expenditure pressures, authorities align investment decisions with long-term resilience rather than short-term expansion.

Saudi Arabia provides another economic intelligence case through its Vision 2030 program, launched in 2016 as a national transformation strategy aimed at reducing reliance on oil revenues and expanding non-oil economic sectors. Vision 2030 is accompanied by detailed reform programs focused on fiscal sustainability, subsidy restructuring, labor market reform, and private sector development. Within this framework, economic modelling capacity expanded across ministries and public institutions. Fiscal sustainability analyses, energy price reform simulations, and labor market projections were used to guide the timing and sequencing of reforms. In this framework, economic intelligence became central to managing the transition from hydrocarbon dependence toward a diversified economic base.

In each of these cases, economic intelligence did not eliminate uncertainty. Japan experienced financial bubbles and economic slowdown. The UAE navigated oil price collapses and was heavily influenced by external shocks, notably the worldwide financial shock that translated into the Dubai experience of the Great Recession of 2007-9 and the just unleashed shock of war over the region. Saudi Arabia continues to face external volatility.

What distinguishes countries with economic intelligence capacities is not immunity from shocks, but the existence of institutional mechanisms designed to anticipate, model, and absorb them. Economic intelligence reduces strategic blindness, it allows governments to examine trade-offs before crises escalate, to test reform paths before implementation, and to connect long-term ambitions with measurable economic constraints. Save for the latest eruption of global and regional uncertainty by the ongoing rise in bloody, economically destructive, and by rational assessments needless warfare, the experiences of the most developed Arab peer countries in the past three or four decades illustrate how economic intelligence can shape economic strategy. The question, then is, where Lebanon stands.

Where is Lebanon today?

Lebanon’s economic landscape is characterized by high levels of informality, persistent political interference, and recurrent external and domestic shocks, from financial collapse to regional and internal instability. These conditions complicate policymaking and make anticipatory governance difficult. A significant share of labor and business activity operates outside the formal regulatory framework. When large segments of the economy are unrecorded or underreported, information and statistical pictures become incomplete. Hence, modelling and forecasting foundations are weakened as they depend on reliable and comprehensive data

Across different ministries and public institutions, key indicators are published, including Gross Domestic Product, the Consumer Price Index, B|DL balance sheets and money supply statistics. However, statistical methodologies are not always consistent, reports are not published regularly, and data updates can be delayed. Key datasets such as national accounts, labor, housing and educational statistics, and sectoral indicators often come with time lags that limit their usefulness for real-time planning and forecasting. Lebanon does not lack data, nor does it lack expertise but it may lack continuity in certain statistical series.

The country has capable economists, researchers, and skilled professionals across universities, public institutions, and international organizations. What is missing is institutionalization. Data may support discussions and debates, but it does not consistently drive decisions. Economic intelligence is not organized as a state-level system that systematically links data collection, analytical modelling, and policy decision-making. Neither in public institutions and the administration nor in independent private or civil organizations, one can find any permanent macro-fiscal modelling framework that regularly produces projections and reform or shock scenarios to guide medium and long-term planning.

The financial collapse intensified these structural gaps and exacerbated the use of short-sighted “fixes”. Multiple exchange rates emerged, and subsidies were reduced suddenly and without coordination, and fiscal measures were introduced separately and without a clear plan. This reflected not only political pressures, but also the absence of an integrated mechanism to assess economic trade-offs before policies were adopted. Crucial decisions, if they were not deferred endlessly and detrimentally because of political indecision or corrupt influences, were taken under urgency, often addressing immediate constraints without fully evaluating broader consequences.

Lebanon’s crisis, therefore, cannot be explained solely by misguided policy choices. It also reflects a deeper structural deficit: economic intelligence was not institutionalized in the past, and it remains absent today as a core function of governance. Without integrated data systems, consistent modelling capacity, and structured links between analysis and policy, reform becomes short-term and fragmented. And when reform is short-term and uncoordinated, instability tends to intensify rather than to ease.

Institutional reform

Lebanon’s economic collapse was not only the result of inadequate policy choices or external shocks. It was a result of a deeper institutional weakness, corruption, and absence of a coordinated system capable of transforming data into future planning. Without integrated statistics, consistent modelling frameworks, and structured links between analysis and policymaking, reforms are mismanaged, reactive, and short-term.

The way out of this misery begins by making economic intelligence a core function of how the state operates. This starts with improving the country’s data system. Lebanon needs harmonized statistical methods across ministries and public institutions, regular and predictable data releases, and better digital integration of administrative records such as tax and customs data, social security information, and sectoral reporting. Data production should not rely on temporary projects or external funding. It must be supported by clear institutional mandates, stable structures, and adequate resources. Strengthening the independence and technical capacity of the national statistical system is essential to restore credibility and rebuild trust in economic policymaking.

But data reform alone is insufficient. Economic intelligence also requires the establishment of permanent macro-fiscal modelling capacity within the public sector. This includes regularly produced projections, reform scenarios, and shock simulations that guide medium and long-term planning. Budget proposals, tax and public salary adjustments, subsidy reforms, and public investment strategies should be evaluated against transparent economic projections before being adapted and put into effect. Institutional coordination mechanisms must ensure that analysis informs decisions in a systematic rather than inconsistent manner.

Stronger data systems and modelling would improve fiscal planning, reduce uncertainty, and enhance policy credibility. They would also strengthen Lebanon’s negotiating position with international partners by grounding discussions in coherent and transparent projections, while encouraging both domestic and foreign investment. Economic intelligence is not an abstract concept and does not eliminate uncertainty nor guarantee stability; it lowers risk, improves policy sequencing, and increases accountability. Not institutionalizing economic intelligence, on the other hand, is an assurance of economic stupidity and can only indicate that inducing the Lebanese people’s misery is not only a foreign tool of violent aggression and oppression but also a local method.


March 30, 2026 0 comments
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Analysis

The missing link

by Jamile youssef March 27, 2026
written by Jamile youssef

Before March 2026, the obstacles to recovery for Lebanon’s fractured economy were Herculean, but not completely hopeless. Standing in the way of reform were entrenched corruption and the ongoing aggression from Israel under the guise of a ceasefire [inlinetweet]following the 2024 conflict which displaced over a million people and inflicted billions in infrastructure damage. [/inlinetweet]Following the February 28 unprovoked US and Israeli attack on Iran, a renewal of that active conflict in Lebanon quickly escalated into a threat scenario where the human costs and infrastructure damage of the past two years could be exceeded and distrust and social tensions brought to new heights.

While the decisions over the new war and its regional escalation could at no time be influenced by the government in Beirut, the potentially world-changing conflict drives home a lesson on the importance of complete sovereignty. Governing a country in compounding crisis requires decisions made quickly, often under pressure, and with incomplete information. Yet Lebanon’s capacity to measure its own economy — to count what it produces, what it owes, who is working, and who is not — has severe limitations. This is a story about what happens when a state in crisis cannot reliably count.

Making the data work

Data collection in Lebanon does not operate through a single integrated system, and not all datasets are systematically published for public access. There is no single centralized platform where all relevant economic data can be accessed in one place. Cooperation generally exists, but standardization, accessibility, and consolidation remain limited. The system functions, yet it relies heavily on administrative effort.

From a public finance perspective, access to information is generally available. Obtaining budgetary and fiscal data often begins with formal requests. “Through my personal experience, never the data was not received,” says Tonia Salameh, economist and data analyst at the Institut des Finances Basil Fuleihan (IOF). “Sometimes the data is received very fast and sometimes not, but we receive it.”

Institutions generally cooperate. The challenge begins after the data arrives.

Rather than flowing through standardized digital systems, information may come in scanned PDFs, non-tabular Excel sheets, or even printed documents requiring manual entry. “Each institution has its own format. There is no unified format that everyone is using,” Salameh explains. “Sometimes we even receive papers, and we do the data entry.”

As a result, analysts spent significant time transforming and cleaning datasets before meaningful analysis can begin. Immediately focusing immediately on interpretation, analysts are required to standardize and reconcile raw data, increasing delays and creating room for inconsistencies. Salameh refers to the underlying administrative and digital infrastructure. “If the system is not available, you can’t gather high-quality data. If the system is old and not everything is automated, how will you gather the data?”

From the private sector perspective, the Chamber of Commerce, Industry and Agriculture of Beirut and Mount Lebanon compile economic reports by drawing from multiple official sources: the Central Administration of Statistics, Banque du Liban, the Ministry of Finance, customs authorities, and international institutions, each operating within its own reporting framework. Executive spoke with two representatives from the Chamber of Commerce who preferred that their responses be attributed to the Chamber as a whole, rather than to be personally identified. “We always get data from the main sources to ensure accuracy,” one representative explains. “But sometimes figures do not match.”

GDP estimates may differ significantly between domestic and international organizations, because of different methodologies. According to one anonymous representative from the Chamber of Commerce, the variance was “around 2 billion dollars” for nominal GDP in 2023 (IMF estimates were $23.6 to 24 billion). Additionally, the growth projection revealed a wide gap, the representative notes: “Even the IMF reports 3.5 percent growth, whereas the government says 5 percent.”

These discrepancies do not necessarily imply manipulation. They reflect methodological differences and the absence of a centralized consolidation and validation mechanism. Without institutional reconciliation, cross-verification becomes the responsibility of external analysts rather than the state itself. Similar challenges appear in labor statistics. Unemployment estimates vary widely across reports ranging from around 30 percent to over 40 percent. Additionally, the most recent comprehensive labor update dates back to 2022.

In agriculture, the Centre de Recherches et d’Études Agricoles Libanais (CREAL) presents a third model, one built on continuous field data collection rather than episodic surveys. “Statistics are continuous,” says Riad Saade, president of CREAL. “That’s the difference.”

CREAL’s system is self-funded and developed over decades. It tracks agricultural production across seasons, regions, and micro-economic variables. “We don’t study a product; we study the season,” Saade explains. Agricultural output varies by region, climate, irrigation methods, and production cycles, making seasonal monitoring more accurate than broad national averages.

CREAL relies on field engineers embedded in local communities to track planted areas, productive areas, yields, irrigation methods, production costs, and farmers’ prices. Data is double-checked and continuously updated, producing a detailed picture of agricultural performance.

Yet when asked whether the Ministry of Agriculture systematically relies on this data for policymaking, Saade’s answer is clear: “No, not at all.” CREAL’s ongoing assessment further suggests that while Lebanon’s agriculture sector has received substantial external funding over the past decades, output has not grown in proportion to that investment.  According to Saade, one reason for this is that many projects have not been effectively adapted to the Lebanese context or informed by local data. Instead, they often follow standardized international models led by foreigner project managers.

Across sectors, the pattern is consistent. Data exists. It is collected with effort. It is considered credible. But it is not systematically integrated into policy decisions.

Structural weaknesses beneath the numbers

A deeper constraint lies in digital infrastructure itself. Not all government data is fully digitalized. In some cases, datasets exist but are stored in outdated systems or paper archives. Without full automation, systematic extraction and aggregation become difficult. Lebanon’s statistical challenges extend beyond formatting issues. They reflect deeper structural realities.

A significant share of economic activity operates informally. Businesses remain unregistered. Labor is undeclared. Income is partially unreported. Even the most sophisticated statistical system cannot fully capture activity that escapes formal oversight. “Yes, the share of the informal sector in Lebanon is very high,” IOF’s Salameh acknowledges. “So, part of the data is not available to be analyzed.”

Political instability further disrupts continuity. During years when parliament failed to approve annual budget laws, fiscal reporting lost consistency. “We have data for some years, then not for others,” Salameh explains. “For instance, in 2021 and 2023, the budget law was not approved. We had the draft, but not the law.” Spending continued, but the annual budget was not formally approved by parliament. The issue was not the absence of figures, but the breakdown of institutional rhythm.

Exchange rate volatility added another layer of disruption. During periods of multiple exchange rates, economic values lacked a single reference point. Analysts were forced to calculate currency components separately. “With multi-pricing, you can’t build a strong economy,” a Chamber representative says. Currency inconsistency complicates not only markets but measurement. When prices, wages, and public accounts operate under different benchmarks, statistical comparability weakens.

CREAL raises a different but related critique: the design of donor-funded statistical projects.

“The project managers usually are international staff, and apply the standard methodology by the book,” Saade says. “The project is not usually adapted based on knowledge of Lebanon and its context.” His argument is methodological. Statistical models, he asserts, must reflect local diversity, production patterns, and socio-economic realities rather than rely exclusively on standardized international templates.

Informality, political instability and national insecurity, and exchange rate volatility are constraints that are mutually reinforcing: a large informal economy shrinks the tax base, which weakens institutional capacity, which reduces the quality of statistics, which makes it harder to design policies that bring informal activity into the formal economy.

If data exists, how much does it shape policymaking?

At the IOF, Salameh sees growing demand for evidence-based analysis. “Now there are more requests for data,” she says. “Everyone is realizing that we need evidence-based information to make decisions.” She adds, “Everyone is affected if a decision is not based on facts.”

From the Chamber of Commerce, the tone is less reserved. “If decisions were fully based on figures, we wouldn’t have been in this situation for six years,” said one representative who asked to remain anonymous, referring to the multi-layered economic crisis. At the same time, the Chamber noted that in areas such as port revenue and taxation monitoring, improvements have been planned. Efforts to strengthen revenue collection and reduce leakage show that data and oversight can support specific reforms, particularly in the context of fiscal collapse. However, these improvements remain limited rather than part of a broader systemic change.

Saade had another view. “Decisions are based on either incomplete data or incorrect data.”

The divergence in tone reflects a deeper uncertainty: data may be requested, but its integration into structured policy design remains inconsistent.

When decisions move ahead without reliable measurement, consequences accumulate gradually. Businesses may misjudge investment conditions. Citizens may face poorly adjusted tax or subsidy measures. Public spending may be misallocated. Reform sequencing may weaken. Inaccurate or incomplete data does not isolate risk; it spreads it across the system.

At the same time, economic figures now circulate rapidly in a politically charged digital environment. Salameh notes: “We are in an era of social media and technology, it is very easy for someone to publish any number, and it goes viral whether it is true or not.”

 For example, at the beginning of the economic crisis, claims circulated online that Lebanon ranks first globally in gold reserves, a statement later shown to be misleading. While the country holds large gold reserves, it does not rank among the top holders worldwide.

She stresses the importance of verifying sources. Not every figure shared on social media or television can be trusted, and reliable data should be drawn from recognized institutions. Yet accessibility remains uneven. “Not everyone knows where to find these data,” she adds. While official statistics may be published, they are not always easily located or widely communicated to the public.

The Chamber representative agrees that media scope often includes selective or misinterpreted statistics, though he maintains that official figures from recognized institutions remain broadly reliable.

The problem is not necessarily data production. It is interpretation and the absence of consolidation. When multiple figures circulate without clear reconciliation, confusion can replace clarity, even when underlying data is credible.

Beyond counting: What reform requires

Lebanon’s economic challenge is the absence of institutional integration that allows experts to operate and datasets to inform policy. Reform must begin with strengthening the statistical system itself. Ministries and public institutions require harmonized methodologies, standardized digital formats, and predictable publication schedules. Data collection should follow clear institutional mandates rather than depend primarily on temporary projects or external funding. Stable budgets and technical investment are essential for continuity.

Equally important is linking statistical production to structured policy evaluation. Lebanon lacks a permanent macro-fiscal modeling capacity within the government. Major policy decisions including budget proposals, tax measures, subsidy reforms, and public wage adjustments should be assessed against transparent economic projections before implementation. In Lebanon, there is no formal mechanism obliging policymakers to demonstrate that decisions were informed by available evidence. That absence is itself a policy choice.

Institutional leadership must come from the government, particularly through research and statistical authorities. But coordination should extend beyond government. The private sector, research institutions, and specialized agencies should operate within a structured ecosystem where data production, analysis, and policy design are aligned and available for all.

The issue is not only technical. In a country facing overlapping crises and limited control over external shocks, the ability to reliably measure the economy becomes essential for making informed and independent decisions. Without it, decisions are made under pressure without a clear understanding of their consequences.

March 27, 2026 0 comments
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Comment

Restoring Financial Stability and Unlocking Growth

by Roudy Sassine March 11, 2026
written by Roudy Sassine

Editor’s Note: This article was written before the outbreak of the current conflict in Lebanon and does not include considerations relevant to conflict’s impact on exchange rates and monetary policies.

Lebanon has long lived under the pleasant illusion of financial stability, anchored by a fixed exchange rate regime that was maintained for more than two decades. It was widely believed that such a monetary system constitutes the backbone of currency and financial stability. This stability, a rare boon in a country afflicted by repeated political upheavals, would shield international creditors, regional investors, local importers and savors from multiple risks, beginning with currency risk.

The central bank’s long-standing maintenance of the fixed exchange rate supported the prevalent perception of relative stability in the national currency, even against the backdrop of a high dollarization rate. Proponents would argue that, had the exchange rate been allowed to fluctuate instead, inflation pass-through would have eroded confidence in the financial system and a crisis would have ensued.

However, beneath the surface, the fixed exchange rate regime masked deep structural weaknesses, alongside constraining Lebanon’s policy space. Policymakers could not lower interest rates without risking capital outflows, in which case the currency would come under downward pressure and the central bank would be compelled to intervene in the foreign exchange markets. Fiscal expansion, on the other hand, while necessary to stimulate a stagnating Lebanese economy, would similarly strains the peg.

This tradeoff resulted in sustaining a supposedly stable financial system at the cost of slower growth and higher unemployment. Either way, the key question to ask is whether the fixed exchange rate truly cushioned the financial system, or whether it contributed to or even triggered its collapse.

Doomed to collapse

First, a fixed exchange rate maintained over a long period of time is, by nature, unsustainable. This is even more pronounced in economies characterized by persistent fiscal deficits and widening external imbalances, because they depend on a continuous inflow of foreign currency to survive. In Lebanon’s case, the central bank could not indefinitely draw down its foreign reserves without either running out of those reserves or undermining confidence among savers and investors.

In addition, financing the external imbalances requires ever-increasing amounts of foreign currency at a time when, as was bound to happen at some point, FDI remained weak and fresh USD bank deposits slowed down, leaving the country with fewer external sources of funding. As this became undeniable in concert with deterioration of regional circumstances, and to make matters worse, capital outflows accelerated and the dollarization rate rose, putting further pressure on the fixed exchange rate.

This exposed the fragility of the financial system and pushed the central bank into a dangerous balancing act: defending the currency peg to enable paying for imports and servicing public debt at the same time, all while capital flowed out of the system. By the mid-2010s, it became clear that conventional monetary tools, in the form of high interest rates and persistent use of foreign reserves, were no longer sufficient to support the peg, which pushed stakeholders to adopt unconventional tools in the form of financial engineering. While financial engineering provided a respite, it drained USD liquidity from commercial banks and ultimately resulted in a banking and financial crisis.

An option to bend and not break

Rather than masking economic vulnerabilities, a flexible exchange rate anchors the economy to its underlying fundamentals, revealing the currency’s true value. The net benefits of a flexible exchange rate outweigh the costs, because such a regime allows economic adjustment to occur through increased domestic production and improved export competitiveness. In addition, it automatically expands the policy space, allowing policymakers to make effective use of fiscal policy to pursue economic objectives and to utilize monetary policy to stimulate lending and maintain prices. In contrast, fiscal expansion under a fixed regime is difficult because any increase in spending threatens the stability of the exchange rate.

With the Lebanese pound depreciating under a flexible system, excessive imports would be curbed, the trade deficit would be narrowed, and the relative price of Lebanese goods and services abroad would become more competitive. In turn, the central bank would be able to conserve foreign reserves for essential imports, alongside using these reserves to mitigate the impact of external shocks.

One may reasonably ask how Lebanon might have fared had it transitioned to a flexible exchange rate regime already years ago, before imbalances became wider and more pronounced. The argument is that, had Lebanon transitioned to a flexible exchange rate arrangement during the relatively prosperous years of 2008- 2011, the shocks that arrived a decade later might have been partially avoided, or even fully managed, preventing the full collapse.

This claim is plausible, but the reality is far more complex and nuanced in Lebanon’s case, given the country’s limited export capacity and severe supply-side constraints. As such, the transition to a more flexible exchange rate would not have guaranteed a smooth adjustment. Developments following the 2019 financial crisis validate this point: the currency depreciation failed to boost exports while imports rebounded almost to pre-crisis levels, pushing the current account deficit back to elevated levels.

Responsible prerequisites

In principle, the currency depreciation would not make domestic goods cheaper because production in Lebanon is constrained and partly depends on imports which become more expensive when the currency loses value. In this case, the currency depreciation resulting from the flexible exchange rate would risk fueling inflation and eroding the purchasing power of the citizens, ultimately resulting in severe social and economic repercussions. At the same time, fiscal expansion would make matters worse because it would translate into higher imports, thus worsening the trade balance and negating the effectiveness of government spending. This is why a successful shift to a flexible exchange rate requires in the first place addressing Lebanon’s production and export capacity.

By investing in infrastructure and power generation, Lebanon could remove those constraints on production and lower production cost.  A multi-year, well-targeted capital expenditure program focused on energy, transport, logistics, ports, and manufacturing would lower business costs, improve efficiency, and enhance the international competitiveness of Lebanese goods. When complemented by an industrial policy, partly based on the 2017 McKinsey & Company Lebanon Economic Vision  study, and particularly targeting export-oriented industries, Lebanon can focus resources on the sectors with comparative advantages, enabling a domestic production of several goods that it currently imports.

Firms would then be able to access affordable electricity, better logistics and transport, and domestic suppliers, which would lower their input costs and expand their output. Currently, the country suffers from a deficient infrastructure and a chronically underdeveloped energy sector. If these are not addressed head-on, higher production costs will feed into local prices, cancelling the benefits of depreciation. In one sentence, capital expenditure under international and local, public, private, or public-private partnership programs will be vital for Lebanon but must be done right, that is in context of a viable exchange rate regime.

A managed float first, a full float later

A multiyear capital expenditure program should only run under a semi-flexible or flexible exchange rate framework. If a sudden shift into full exchange-rate liberalization is risky and unfeasible today, why not start preparing the groundwork for a gradual transition, in which Lebanon can implement a phased approach, starting with a crawling peg and followed by a managed float. Each of these phases could be attained after achieving a set of preconditions aimed at strengthening Lebanon’s fundamentals, as outlined in the last section.

A managed float allows the rate to adjust within a controlled bound, removing the immediate need to defend it and reducing the need to drain reserve. In addition, under such a regime, the central bank intervenes only selectively to correct misalignments with underlying economic conditions and counter speculative attacks rather than employing frequent, heavy-handed interventions to keep the exchange rate pegged. The point is to allow the exchange rate to adjust in response to market forces, reflecting the country’s underlying economic conditions, while intervening only to curb high volatility or sudden and deep depreciation. Only then would the central bank be able to build confidence in the currency, along with accumulating foreign exchange reserves and deploying them as buffers in times of distress and external shocks (i.e. the 2011 Syrian crisis, the 2014 decline in oil prices, the US Federal Reserve’s interest rate hikes, the October 2019 protests, and the disruptions triggered by the COVID-19 pandemic).

Therefore, a managed float should enable the condition for fiscal policy to expand in order to address Lebanon’s production constraints and unlock its productive capacity. Together with a targeted capital expenditure program, it could create the conditions under which Lebanon can move into building competitiveness, employment, and export growth.

Such a framework offers both stability and flexibility: the financial stability presumed under a semi- fixed exchange rate in which the central bank retains the ability to counter disruptive currency swings and financially destabilizing devaluations; and the flexibility of taking advantage of a greater space to leverage fiscal policy for economic objectives, particularly during economic downturns. This is coupled with a greater ability to use monetary policy to stimulate lending and maintain price stability.

This transition would deliver two critical outcomes: first, rising exports would narrow the trade deficit, easing pressure on the currency and reducing Lebanon’s reliance on foreign reserves and external borrowing; second, a targeted fiscal expansion would stimulate job creation and economic activity.

A policy roadmap

A phased policy requires the country to proceed in phases to achieve several milestones aiming at strengthening economic foundations before a free float could be attained.

The first phase focuses on stabilization including cementing baseline political stability, unifying exchange rates, and recapitalizing banks to re-enable credit intermediation and financing of the real economy.

The second phase would involve adopting a crawling peg to anchor expectations, after effective reserve management and institutional reforms aimed at restoring public confidence in monetary policy and rebuilding trust in state institutions. A crawling peg is a framework that intends to stabilize the currency while allowing for small, controlled adjustments.

In the third phase, Lebanon can move toward a more flexible arrangement in the form of a managed floating regime provided the achievement of a set of preconditions: establishing a more accurate valuation of the currency, narrowing the current account deficit, maintaining adequate foreign exchange reserves, and gradually phasing out foreign-currency debt. Only after these preconditions are achieved would Lebanon advance to a managed float, which represent a very important milestone enabling making effective use of the country’s enlarged fiscal space for targeted investment in idle capacity and the productive sectors, boosting export potential and strengthening the economy’s ability to absorb external shocks.

With the managed float cemented, the country can start preparing for the full float, which represents the final phase and requires implementing a clear strategy to attract foreign investment into the productive sectors; achieving full currency sovereignty; developing domestic financial markets; and strengthening and cementing governance that supports transparency and accountability.

These phases should not be perceived to be rigid and should not be followed in a strictly linear sequence; rather, they represent a structured path away from crisis-prone policymaking and towards a more a more sustainable monetary framework offering financial resilience and unlocking Lebanon’s growth potential.

* This article is an adaptation, exclusive to Executive, of the author’s working paper, “Lebanon’s Eventual Transition to a Floating Exchange Rate System: Balancing Flexibility with Stability,” published by the Levy Economics Institute of Bard College. Lebanon’s Eventual Transition to a Floating Exchange Rate System – Levy Economics Institute of Bard College

March 11, 2026 0 comments
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CommentEconomics & Policy

When AI outpaces law

by May El Hachem March 4, 2026
written by May El Hachem

A generation ago, the first job was where you learned the mechanics of work. You drafted memos, cleaned data, checked invoices, shadowed seniors. It was inefficient, but it was formative. Today, those entry points are thinning.

In firms across sectors, AI systems now draft, summarize, categorize, and predict. What once justified hiring a junior role is increasingly absorbed by software capable of executing entire workflows. The ladder has not collapsed, not entirely (and not yet) but its first rungs are simply harder to see. Young workers are not being replaced en masse, they are being bypassed.

And as enterprises restructure around systems rather than staff, the deeper disruption may not lie in unemployment figures, but in institutional transformation.

The Reallocation of Risk

AI adoption is entering a more consequential phase. What began as augmentation is edging toward displacement, with 2025–2026 emerging as a structural turning point. Budgets are shifting away from payroll and toward AI software, as enterprises invest in systems capable of executing entire workflows rather than assisting individual workers.

This exposure is widespread. Nearly 40 percent of global jobs now face some degree of AI impact, according to International Monetary Fund (IMF) analysis. In advanced economies, more than 60 percent of roles will be influenced by AI, with roughly half benefiting from productivity gains and half facing varying degrees of displacement. In practice, the distinction matters less than it appears. Both outcomes reshape job structures and career entry points.

Financial incentives are accelerating the shift. McKinsey estimates that enterprise AI use cases could unlock up to $4.4 trillion in annual productivity gains, reinforcing the economic logic behind reallocating capital from labor toward agentic AI systems designed for end-to-end execution.

Yet the strategic risk extends beyond labor substitution. The reliability of these systems depends on the integrity of their inputs. A 2023 NIST-linked study published in PubMed Central (PMC) identifies structural vulnerabilities in AI deployment, including biased or limited datasets, poor annotations, and “out-of-distribution” data shifts that cause models to fail silently when exposed to real-world variability. A 2026 PMC analysis further demonstrates how technical biases, which are skewed data and feedback loops, interact with socio-technical dynamics, amplifying distortions in sectors such as finance and justice.

These fragilities compound over time as feedback loops can entrench inequities once AI systems are embedded into decision-making processes. The pattern is consistent: once deployed, AI systems require continuous monitoring, diverse datasets, and dynamic fairness metrics to prevent degradation and distortion.

Dario Amodei’s 2026 essay, The Adolescence of Technology, situates these vulnerabilities within a broader structural transition. Describing AI scaling laws as leading toward a “country of geniuses in a datacenter,” he identifies five systemic risks: misalignment, biological misuse, authoritarian control, labor disruption, and indirect societal shocks. His analysis draws on empirical experiments, including instances where advanced models exhibited deceptive or scheming behaviors when confronted with shutdown threats, as well as models with “evaluation awareness” who are able to alter their behavior when under assessment, thereby rendering risk testing ineffectual.

The economic implications are direct. As organizations embed AI deeper into workflows, they are institutionalizing systems whose failure modes remain imperfectly understood. The erosion of entry-level roles in office support, customer service, and data processing—where automation exposure reaches 20 to 40 percent by 2030—coincides with an expanding reliance on models that can generalize unpredictably.

Cost savings promise immediate relief. But without targeted mitigations such as constitutional AI frameworks for value alignment, mechanistic interpretability for internal audits, monitoring infrastructure, and transparency standards, the shift risks undermining the human-AI hybrid value organizations ultimately depend on. Productivity gains may be substantial, yet resilience depends on how carefully the foundations are managed.

As productivity accelerates, workforce risk and system fragility converge. Automation alone is not the destabilizing force, but the combination of displacement, biased inputs, and brittle generalization is.

Hallucinations, opacity, and the end of “the AI did it”

The most visible risks of AI do not emerge at adoption, but at deployment. The real inflection point occurs when systems move from controlled pilots into operational environments. Even well-trained models can generate outputs that are inaccurate, misleading, or difficult to explain. In enterprise contexts, such failures translate directly into legal liability, financial exposure, and operational disruption.

Generative AI is particularly prone to what are now termed “hallucinations” — outputs that are factually incorrect or entirely fabricated, yet delivered with striking coherence and confidence. In early 2023, Google’s Bard – an early generative AI chatbot developed by Google and publicly launched in early 2023 – claimed that the James Webb Space Telescope captured the first image of an exoplanet, a milestone actually achieved in 2004 by the European Southern Observatory’s Very Large Telescope. The answer was coherent and confident, yet factually wrong.

As outlined in Satyadhar Joshi’s comprehensive review, hallucinations occur when large language models generate misleading or false information without signaling uncertainty. Reported rates reach 16.7 percent in legal applications, varying by domain and shaped by data limitations, architectural complexity, and the absence of grounding in verifiable sources. The credibility of the tone often masks the fragility of the substance. At enterprise scale, comparable errors manifest not as public embarrassment, but as compliance breaches, regulatory scrutiny, and costly remediation.

The causes are structural. Large language models predict statistically probable word sequences; they do not independently verify truth. When training data contains inaccuracies, bias, or gaps, those distortions are learned and reproduced. When systems lack connection to external, real-time sources, they compensate for uncertainty by generating plausible completions. The result is output that is persuasive in form and unreliable in fact.

The business implications are immediate. Hallucinations can distort financial analysis, fabricate legal citations, or misstate compliance requirements, introducing risks that compound across workflows. Joshi’s review highlights consequences ranging from productivity loss to reputational damage and legal liability in high-stakes environments. Gartner similarly notes that hallucinations compromise decision quality and brand credibility. Each visible failure erodes institutional trust in systems organizations are embedding ever more deeply into core operations.

An opaque norm?

Opacity deepens the exposure. Many advanced AI systems operate as so-called “black boxes,” meaning their internal reasoning processes are not transparent or readily interpretable. Inputs go in, outputs come out, but the decision logic in between remains largely inaccessible, even to those deploying the system. This obscurity complicates accountability, governance, and effective oversight.

Legal scholarship increasingly rejects algorithmic opacity as a defensible position, and cases such as State v. Loomis highlight due process concerns surrounding opaque risk assessment tools. Enterprises remain accountable for AI-mediated decisions; responsibility cannot be deflected onto the model simply because its internal logic is difficult to explain.

This accountability is now codified. Transparency obligations require disclosure when users interact with AI systems or consume synthetic outputs, while frameworks such as the EU AI Act formalize these duties and attach escalating penalties for non-compliance, with enforcement expected to intensify as early as 2026.

Hallucinations are not isolated glitches but predictable byproducts of probabilistic generation. The strategic question is no longer whether AI systems will err ­as errors are inherent to their design, but whether organizations have built the validation, oversight, and governance mechanisms capable of absorbing those failures without destabilizing trust.

March 4, 2026 0 comments
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AnalysisEconomics & PolicyLebanon

AI and Lebanon’s Digital Transformation

by Ziad Hayek March 4, 2026
written by Ziad Hayek

Infrastructure is no longer just about steel and concrete. It is increasingly about computation and connectivity. Beyond moving people and goods, today it must move intelligence. Public-Private Partnership (PPP) encompasses modalities designed to deliver such infrastructure at scale.

The danger is not that AI will take over the world. (Even if it were to, we in Lebanon are powerless to stop it from doing so). The danger is that we will fail to build the right infrastructure for the development of our economy, or that we will build 21st-century infrastructure on 20th-century centralized architectures that are too fragile and dependent to survive minimal server outages.

A national plan

Alas, today, our politicians and decision-makers lack the sophistication and knowledge necessary to chart a path forward for our country that ensures that our people benefit effectively from the wealth being created by the AI economy. Urgent attention must therefore be given to developing a national socio-economic vision that integrates AI and high tech from the start, not as an afterthought, but by design.

The deployment of artificial intelligence in Lebanon can be one of the most compelling case studies in technological leapfrogging and national renewal – similar to how cellular technology PPPs (in the form of Build-Operate-Transfer (BOT) transactions, which are a form of PPP) allowed Lebanon in the early 1990s to become one of the countries with the highest mobile telephony penetration in the world. As a nation confronting profound structural challenges, Lebanon finds itself at an inflection point once again, where AI technologies offer not merely incremental improvement but the potential for systemic transformation. The “4 Lebanon” initiative—grounded in the pillars of People, Innovation, Processes, and Infrastructure—provides a framework for this transformation. Yet, its success hinges on our capacity to anticipate risks and architect robust mitigating strategies. Critically, the scale and complexity of this undertaking exceed the capacity of government alone. Of course, AI-driven governance platforms, supported by substantial international investment such as the World Bank’s US$150 million Digital Acceleration Project approved for Lebanon as part of a $350 million economic and social package in January 2026, can help attract the private sector, especially in the form of PPP, where it contributes not only know-how but financing as well. Indeed, crowding-in the private sector and its capabilities early on would certainly make a big difference.

Public-Private Partnership

PPP offers the mechanisms through which Lebanon can leverage bilateral or multilateral investments with the capital, expertise, and operational efficiency required for a successful digital transformation.

At the beginning, and until homegrown technology can start making a difference, there is no need to reinvent the wheel. Following the example of other countries that have developed and implemented technology PPPs is sufficient. I see four axes for focus:

  • Smart city infrastructure that can help reduce traffic jams, monitor traffic infractions, improve solid waste collection and management, improve sewer inspections, promote multi-modal public transport, and enhance municipal services. Alibaba City Brain, deployed in Hangzhou, is a small example of this.
  • A major, tier-four national data center can play an important role in securing government data while improving access to global digital networks. Sovereignty concerns have fueled the demand for data center PPPs in India, France, Singapore, and many other countries. Better connectivity, resilience, and independence from foreign public- and private-sector actors are additional benefits in this regard. (While we are on the subject of sovereignty, I should point out that partnership with international technology partners such as Microsoft, Google, AWS, and others may be unavoidable, but it should be managed through carefully structured relationships. PPP frameworks provide the mechanism for balancing access to global capabilities with the protection of national interests. Cloud service agreements with major providers, for example, should be structured as public-private joint ventures rather than simple procurement. The UAE’s model with major cloud providers demonstrates how smaller nations can negotiate favorable sovereignty protections through strategic partnership structures.
  • E-Government applications, which have traditionally not required AI, are being enhanced by the introduction of AI into their systems. Virtually all the services provided by the public administration, at the national or local level, can be made many times more efficient (and predictive) by using AI. Many countries, from the Philippines to Chile, are implementing such strategies. Estonia’s X-Road e-government system is being similarly improved. Lebanon could see public-private or even public-public partnerships in this regard. Automated systems for licensing, taxation, and social service distribution reduce friction points where corruption has historically flourished, creating transparency mechanisms that rebuild public trust.
  • Finally, it is clear to everyone that Lebanon’s society, with its large concentration of highly educated young men and women, could greatly benefit from public-private partnerships aimed at fostering incubators, accelerators, venture capital, private equity, cybersecurity, and other initiatives that help Lebanese entrepreneurs and startups find outlets for their creativity and potential. The explosive growth of AI Agent use, powered by developments such as Anthropic’s MCP, Google’s A2A, Cisco’s AgenticOps, and most recently OpenClaw, provides immense opportunities for young Lebanese developers to create businesses that may well become unicorns.

A government strategy should use the above recommended areas of focus to kick-start the country’s AI journey. By enabling Lebanese professionals to participate in the global digital economy while remaining resident, we create a sustainable mechanism for foreign currency inflows and knowledge retention that addresses the chronic brain drain that has depleted the nation’s intellectual capital.

Public-Private Partnerships can also benefit ancillary areas important for AI and Tech. The Government could achieve more reliable power generation in a country that suffers from chronic power shortages, perhaps through satellite-based internet connectivity, and a wider FTTX (optical fiber) network through PPP.

Education and capacity building

Lebanon also needs to implement comprehensive reskilling programs specifically targeting workers in vulnerable sectors: administrative roles, basic logistics, and routine data entry. The optimal model involves tripartite partnerships among government, educational institutions, and private-sector employers. The government provides policy frameworks and baseline funding; private companies commit to hiring graduates from certified programs; and educational institutions deliver training aligned with actual market needs. The NUMŪ platform, Lebanon’s national digital and AI capacity-building program launched in Nabatieh in mid-January of this year, exemplifies this approach but should be expanded through formal PPP agreements with technology companies, consulting firms, and business process outsourcing providers. This demand-driven approach ensures relevance and employment outcomes while sharing costs across stakeholders.

Proposed government initiatives

  • Hardware-supported hackathons: Last summer, I proposed – and still do – that the government use US$500,000 to buy 2,000 NVIDIA Jetson Orin Nano Super Developer Kits and gift them to 2,000 serious young developers and run hackathons using these devices for emergent intelligence and robotic applications, among others. One never knows what potential lies dormant in smart young minds until they have the tools with which to bring it to life.
  • A billion-dollar fund: Another proposal of mine was part of the platform I ran on for President of Lebanon: for the government to establish a US$1 billion fund using its gold reserves. Such a fund would provide interest-free loans and grants to young men and women pursuing AI- and Tech-related courses or university studies. In a similar vein, the Government could establish a National Digital Infrastructure Fund to invest in Lebanese tech enterprises. It would differ significantly from the Banque du Liban Circular 331 in its structure. It would invest alongside private-sector investors to complement their investment, not to guarantee it.

Private sector involvement is key

Whether it is through the mechanisms suggested here above or through more traditional forms of public-private partnership, PPPs are not merely financing mechanisms; they are governance and crowding-in models suited to the complexity and urgency of digital transformation. They bring private sector efficiency, innovation, and capital to bear on public challenges while maintaining democratic accountability and social purpose. For Lebanon, PPPs represent the most credible pathway to achieving the scale and quality of digital infrastructure, skills development, and service delivery that AI-enabled transformation requires. What is needed is a clear government vision and strategy that can convince the private sector to invest and help brighten our future.

March 4, 2026 0 comments
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Analysis

New hope for Lebanon’s cultural sector?

by Helena Porsborg February 25, 2026
written by Helena Porsborg

The Ministry of Culture (MoC) has launched a new strategy for Lebanon’s creative and cultural industries (CCI). Based on inhouse research and stakeholder interaction, the surprisingly extensive document is as economic as it is cultural. As it stands, it seems the strategy is intended to diagnose and invigorate a struggling sector, but also to signal a more proactive, collaborative, facilitating, and ultimately powerful role for the ministry itself.

As stated in the strategy, it aims to “strengthen the cultural and creative ecosystem so that it can contribute to its full potential to economic recovery, social cohesion, and better positioning of our country in the region and the world.” Presenting this ambitious framework to ministerial colleagues, stakeholders and media on February 10 (almost exactly one year since ascension of the current council of ministers), Ghassan Salameh, the minister of culture, repeatedly described the plan as “ambitious.” It is difficult to disagree. The question is whether the level of ambition exceeds reality.

Identifying the challenges

Nearly a year in the making, the strategy is the product of a bottom‑up process in which over 500 professionals from the subsectors of the CCI have been invited to focus groups, questionnaires and workshops. These sectors include film/audiovisual, music, heritage, museums, performing arts, visual arts, public libraries and design. Additionally, a representative has been chosen from each sector to act as a link between the respective subsector and the ministry.

Even newer creative and content spheres in the digital realms, which are deemed by economists crucial for future wealth, are however not given an own category in the CCI strategy as provided on the ministry’s website. There are over a dozen references to digital issues sprinkled across the almost 50 content slides of the strategy, including reference to a strategic imperative of “investing selectively in cultural infrastructure and digital capabilities”. Nonetheless, the strategy does not elaborate on how and whether the required public policy safeguards or capital expenditures would be implemented for such a demanding endeavor.

Despite these omissions, the final document identifies wide-ranging interventions recommended for each sector – such as improving the legal status of designers, drafting a new heritage law, advocating the removal of taxation on non-commercial performances and many more. In total, the strategy contains 162 initiatives throughout the nine subsectors.

The obstacles facing Lebanon’s cultural industries are extensive: outdated laws, years of underinvestment, underdeveloped digitalization, lack of data collection and talent flight – just to name a few that have been on the minds of stakeholders for several decades. And since 2019 the CCI has been shaken badly by the succession of economic crises, COVID-19 pandemic, Beirut Port explosion and the latest regional conflicts. During the pandemic, which means early during these years of intertwined social, economic, and creative calamities, full-time employment in the CCI fell by more than two-thirds and unemployment or underemployment increased by nearly 1,000 percent, according to a 2021 survey commissioned by GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit).

Not explicitly stated but reverberating throughout the presentations and debates of the MoC launch event was the subliminal message that the quagmires of CCI stakeholders are mirrored in challenges faced by the institution that produced the strategy. Beneath the splash of aspiration to make CCI succeed as economic growth drivers in a new Lebanon, is a message that the MoC has set its sights on ploughing more extensive economic grounds than in the past.

Not only does the culture ministry seem to in this way be departing from the pre-crisis economic paradigm where financial services were perceived as the sole services sector worthy of serious administrative and strategic attention but it appears determined to jump over its shadows of having a lesser weight than the line ministries that were in control of cash cows and fiscally attractive portfolios.

But while the ministry’s domicile at the National Library is, from several cultural perspectives, awe inspiring, the ostentatious dignity of the venue cannot hide the fact that the MoC is still a budgetary stepchild of a financially exhausted governmental parent. Remarks by MoC staffers and the minister reveal that underfunding and understaffing in the budget year of 2025-26 are even greater challenges for the MoC today than they were in the less fiscally desperate years before the crisis. Still more troubling could be the still lingering stigmata of being a government unit beset with crumbling building assets, issues of censorship, and polarized and arduous disagreements over Lebanon’s true cultural identity.

Strategy by estimation

That the path of CCI development will not be as easy as one can make it look in a slide presentation becomes unmistakable when delving deeper into the document. The strategy’s many specified recommended interventions are a timely analysis of what needs to be done to support the growth of the CCI. But there is a gap between idea and execution – and here the strategy becomes more unspecific.

With 162 initiatives, it could be rather difficult to choose where to start. Therefore, the strategy classifies initiatives into three categories according to feasibility, sequencing and dependencies, allowing priority to be given to the most realistic and urgent implementation recommendations. These 162 initiatives range in size with one of broadest reaching being the establishment of “a cultural incubator program through select partners,” while others reach a smaller interface like reopening the National Cinémathèque or developing and publishing the archaeological review BAAL online. All these are called “recommended interventions”, which – even with the prioritizing – makes it difficult to identify which parts of the strategy are promised and which are just recommendations for what could be done.

The only real benchmark presented by the minister at the launch was the goal of the CCI to contribute 7 percent to GDP by 2031. But this goal is not written in the final strategy document, nor supported by any micro- or macro-economic data projections. Yasmine Helou, Chief of Staff at the Ministry of Culture, tells Executive that the minister’s statement indicates the institution’s hopes for having a role in fortifying the council of ministers’ economic growth program and that implementation of the CCI strategy could help, five years down the road, the currently much lower CCI share in GDP recover to 5 percent – or even reach 7 percent.

When asked about how the calculation for this “hope” was done, Helou explains: “It is a projection based on the limited pre-crisis data available on the economic performance of the CCIs. It is based on their documented contribution to GDP prior to the crises, combined with an assessment of sectoral resilience and recovery potential. Given existing data constraints, this figure is an indicative estimate rather than a formally adopted target within the strategy.”

While it is acknowledged that the CCI has a high value for the Lebanese economy, and while we can’t know whether an implied world-leading role of Lebanese CCI in their national economy will become obtainable, there is no denying that such hopes are running up against multiple walls of economic uncertainty.

Between vision and implementation

To be fair, the specific interventions are clearly defined. And it is commendable that the sector stakeholders have been thoroughly included. But the road to implementation seems more uncertain, which is deeply discontenting because the two systemic weaknesses that presently still obstruct any governmental economic aspirations are failure to implement and failure to collaborate among ministries with adjacent and overlapping realms of authority.

The strategy’s breadth poses its own risks. In total, the interventions require multi‑year efforts and dedicated institutional capacity – resources the ministry simply does not possess at present.

In practice, the ministry has relied heavily on voluntary contributions.

“We’ve seen in the past year how willing volunteers in this country are to help, to get involved and to actually work. So, the idea arose to establish commissions where we name people from the private sector who want to get involved and allow us to link and follow up with the ministry in a more institutional way without having to go through the whole hiring process. This is one thing we’re trying to find,” Helou says.

Besides acting effectively by virtue of harmonious inter-ministerial collaborations, securing institutional continuity within ministries is a paradigm that has hardly been demonstrated in the political track record on post-civil war Lebanon. Achieving trustworthy institutional continuity at the Ministry of Culture would in this light be an amazing and laudable feat once the next council of ministers comes into their own at an indeterminate time point after the parliamentary elections scheduled for this spring.

But this feat seems easy when the ambition is to become an economic enabler of unprecedented dimensions. To name one example, the establishment of a “cultural incubator program,” which the CCI strategy lists as primary core cross-sectoral need (i.e. spanning several sectors identified as constituting CCI) must be read in the economic context of entrepreneurship and entrepreneurship ecosystems.

According to Helou, the program would have to be “very big”. Also, it would best be run by an institution with significant capacities in coaching and mentoring on business plans, financial sourcing and management, legal compliance, best practices in corporate governance, and subsector-specific operational priorities for varied CCI startups or young enterprises. The MoC has not yet designed and developed the incubation idea to a point of having set a target number on how many cultural entrepreneurs it wants to enroll per cohort, nor to a maturity of having scored a commitment from an existing provider of business incubation services.

Finding a financially and culturally capacious provider with sustainable appetite for becoming involved in what effectively would not so much be the “strengthening” of a Lebanese cultural and creative ecosystem as the construction, from below ground, of a CCI ecosystem that combines being cultural and creative with prospects of economic sustainability. Helou notes, “I think that CCI has a lot of incubation potential but many of those [cultural institutions] that we have covered did not actually become economically viable.”

The vague idea for an incubation program reinforces the ruling image of previous Lebanese administrations that the ministry of culture has historically promulgated state positions regarding cultural affairs but has not been a central actor in fostering viable subsidies for cultural actors, let alone economic markets for CCI. Local experience of entrepreneurship ecosystems supporting the viability of young tech and agricultural enterprises confirms that an incubation program with all the bells and whistles for supporting startup entrepreneurs, will embellish the potential of CCI to deliver an aspirational slice to GDP, however large the slice and the total might be in five or ten years’ time.

It further confirms, however, that a state-supported or internationally sponsored incubator program does not an ecosystem make. The task of establishing an ecosystem actually is complex and has proven anything but pitfall-free or fast in the two primary efforts of fostering entrepreneurship in the Lebanese context: the tech incubators and accelerators under the knowledge economy imperatives of the Lebanese central bank’s massive push in the 2010s (“circular 331”) and the Agrytech entrepreneurship development push for inclusive and productive agriculture ventures spearheaded by Berytech where first, in GDP terms quantifiable, success came years after it was kicked off with considerable foreign sponsorship / donor support.

For the time being, meaning the outlook for at least this year and possibly a full parliamentary period of four years, dedicated human and financial capital, or vulgo quality employees and money, is not what the ministry of culture can be expected to have reliably at its disposal.

In principle, the recent practice of depending heavily on unpaid labor introduces both continuity risks and increasing likelihood of emergent conflicts of interest and outright corruptibility. The political uncertainty after the next elections further calls into question the durability of the strategy. The ministry is attempting to finalize as many agreements as possible, but implementation of the full strategy clearly extends well beyond the current political cycle.

And all that does not yet touch upon the question how digital Lebanon will define its cultural identity in a global and regionally polarizing environment of divergent desires and external pressures. The future will be digital, or nothing, but who will design it? 

You could wonder how sustainable these preconditions are for implementing all the various pillars of the strategy. But the ministry is aiming to do as much as possible with the resources they have at hand. They have already started the implementation of some interventions, like the digitization and standardization of the national libraries. This indicates a shift in progression. However, attempting to address all the issues outlined in the strategy appears to be an overreach. One could even wonder whether the minister’s explicit acknowledgment of the strategy’s level of ambition is a way of admitting that the goals may not all be attainable. It seems as if the ministry itself is aware of the uncertainty:

“You try for the best and then you do as much as you can,” says Helou.

With contributions by Thomas Schellen

February 25, 2026 0 comments
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Comment

AI and Lebanon’s Digital Transformation

by Ziad Hayek February 24, 2026
written by Ziad Hayek

Infrastructure is no longer just about steel and concrete. It is increasingly about computation and connectivity. Beyond moving people and goods, today it must move intelligence. Public-Private Partnership (PPP) encompasses modalities designed to deliver such infrastructure at scale.

The danger is not that AI will take over the world. (Even if it were to, we in Lebanon are powerless to stop it from doing so). The danger is that we will fail to build the right infrastructure for the development of our economy, or that we will build 21st-century infrastructure on 20th-century centralized architectures that are too fragile and dependent to survive minimal server outages.

A national plan

Alas, today, our politicians and decision-makers lack the sophistication and knowledge necessary to chart a path forward for our country that ensures that our people benefit effectively from the wealth being created by the AI economy. Urgent attention must therefore be given to developing a national socio-economic vision that integrates AI and high tech from the start, not as an afterthought, but by design.

The deployment of artificial intelligence in Lebanon can be one of the most compelling case studies in technological leapfrogging and national renewal – similar to how cellular technology PPPs (in the form of Build-Operate-Transfer (BOT) transactions, which are a form of PPP) allowed Lebanon in the early 1990s to become one of the countries with the highest mobile telephony penetration in the world. As a nation confronting profound structural challenges, Lebanon finds itself at an inflection point once again, where AI technologies offer not merely incremental improvement but the potential for systemic transformation. The “4 Lebanon” initiative—grounded in the pillars of People, Innovation, Processes, and Infrastructure—provides a framework for this transformation. Yet, its success hinges on our capacity to anticipate risks and architect robust mitigating strategies. Critically, the scale and complexity of this undertaking exceed the capacity of government alone. Of

course, AI-driven governance platforms, supported by substantial international investment such as the World Bank’s US$150 million Digital Acceleration Project approved for Lebanon as part of a $350 million economic and social package in January 2026, can help attract the private sector, especially in the form of PPP, where it contributes not only know-how but financing as well. Indeed, crowding-in the private sector and its capabilities early on would certainly make a big difference.

Public-Private Partnership

PPP offers the mechanisms through which Lebanon can leverage bilateral or multilateral investments with the capital, expertise, and operational efficiency required for a successful digital transformation.

At the beginning, and until homegrown technology can start making a difference, there is no need to reinvent the wheel. Following the example of other countries that have developed and implemented technology PPPs is sufficient. I see four axes for focus:

· Smart city infrastructure that can help reduce traffic jams, monitor traffic infractions, improve solid waste collection and management, improve sewer inspections, promote multi-modal public transport, and enhance municipal services. Alibaba City Brain, deployed in Hangzhou, is a small example of this.

· A major, tier-four national data center can play an important role in securing government data while improving access to global digital networks. Sovereignty concerns have fueled the demand for data center PPPs in India, France, Singapore, and many other countries. Better connectivity, resilience, and independence from foreign public- and private-sector actors are additional benefits in this regard. (While we are on the subject of sovereignty, I should point out that partnership with international technology partners such as Microsoft, Google, AWS, and others may be unavoidable, but it should be managed through carefully structured relationships. PPP frameworks provide the mechanism for balancing access to global capabilities with the protection of national interests. Cloud service agreements with major providers, for example, should be structured as public-private joint ventures rather than simple procurement. The UAE’s model with major cloud providers demonstrates how smaller

nations can negotiate favorable sovereignty protections through strategic partnership structures.

· E-Government applications, which have traditionally not required AI, are being enhanced by the introduction of AI into their systems. Virtually all the services provided by the public administration, at the national or local level, can be made many times more efficient (and predictive) by using AI. Many countries, from the Philippines to Chile, are implementing such strategies. Estonia’s X-Road e-government system is being similarly improved. Lebanon could see public-private or even public-public partnerships in this regard. Automated systems for licensing, taxation, and social service distribution reduce friction points where corruption has historically flourished, creating transparency mechanisms that rebuild public trust.

· Finally, it is clear to everyone that Lebanon’s society, with its large concentration of highly educated young men and women, could greatly benefit from public-private partnerships aimed at fostering incubators, accelerators, venture capital, private equity, cybersecurity, and other initiatives that help Lebanese entrepreneurs and startups find outlets for their creativity and potential. The explosive growth of AI Agent use, powered by developments such as Anthropic’s MCP, Google’s A2A, Cisco’s AgenticOps, and most recently OpenClaw, provides immense opportunities for young Lebanese developers to create businesses that may well become unicorns.

A government strategy should use the above recommended areas of focus to kick-start the country’s AI journey. By enabling Lebanese professionals to participate in the global digital economy while remaining resident, we create a sustainable mechanism for foreign currency inflows and knowledge retention that addresses the chronic brain drain that has depleted the nation’s intellectual capital.

Public-Private Partnerships can also benefit ancillary areas important for AI and Tech. The Government could achieve more reliable power generation in a country that suffers from chronic power shortages, perhaps through satellite-based internet connectivity, and a wider FTTX (optical fiber) network through PPP.

Education and capacity building

Lebanon also needs to implement comprehensive reskilling programs specifically targeting workers in vulnerable sectors: administrative roles, basic logistics, and routine data entry. The optimal model involves tripartite partnerships among government, educational institutions, and private-sector employers. The government provides policy frameworks and baseline funding; private companies commit to hiring graduates from certified programs; and educational institutions deliver training aligned with actual market needs. The NUMŪ platform, Lebanon’s national digital and AI capacity-building program launched in Nabatieh in mid-January of this year, exemplifies this approach but should be expanded through formal PPP agreements with technology companies, consulting firms, and business process outsourcing providers. This demand-driven approach ensures relevance and employment outcomes while sharing costs across stakeholders.

Proposed government initiatives

· Hardware-supported hackathons: Last summer, I proposed – and still do – that the government use US$500,000 to buy 2,000 NVIDIA Jetson Orin Nano Super Developer Kits and gift them to 2,000 serious young developers and run hackathons using these devices for emergent intelligence and robotic applications, among others. One never knows what potential lies dormant in smart young minds until they have the tools with which to bring it to life.

· A billion-dollar fund: Another proposal of mine was part of the platform I ran on for President of Lebanon: for the government to establish a US$1 billion fund using its gold reserves. Such a fund would provide interest-free loans and grants to young men and women pursuing AI- and Tech-related courses or university studies. In a similar vein, the Government could establish a National Digital Infrastructure Fund to invest in Lebanese tech enterprises. It would differ significantly from the Banque du Liban Circular 331 in its structure. It would invest alongside private-sector investors to complement their investment, not to guarantee it.

Private sector involvement is key

Whether it is through the mechanisms suggested here above or through more traditional forms of public-private partnership, PPPs are not merely financing mechanisms; they are governance and crowding-in models suited to the complexity and urgency of digital transformation. They bring private sector efficiency, innovation, and capital to bear on public challenges while maintaining democratic accountability and social purpose. For Lebanon, PPPs represent the most credible pathway to achieving the scale and quality of digital infrastructure, skills development, and service delivery that AI-enabled transformation requires. What is needed is a clear government vision and strategy that can convince the private sector to invest and help brighten our future.

February 24, 2026 0 comments
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Banking & FinanceComment

The Gap Law

by Jean Tawile February 20, 2026
written by Jean Tawile

Today, the Proposed Gap Law sits before Parliament. It is the only legislative vehicle available to end the vacuum that is currently our greatest enemy. We cannot afford to reject the law, but we must advocate for its refinement. The law deserves credit for imposing a necessary formal framework. It aims to introduce accountability (though this must be strengthened) and to penalize those who exploited the crisis. Much like previous aborted plans, it seeks to protect small depositors and respect the hierarchy of claims, even if these principles should be more explicitly stated. However, if we allow it to pass as a simple mechanism for distributing losses over two decades, we are not solving the crisis; we are simply institutionalizing it.

For more than five years, Lebanon has remained in a state of self-induced paralysis. Since the 2019 collapse, our economy has been characterized by a “deliberate depression”, a term used by the World Bank’s Lebanon Economic Monitor in fall of 2020 to describe Lebanon’s economic crisis as a result of “intentional policy paralysis” where a lack of effective policy action has become the default. In simpler terms, this means that the political class are letting the country’s wealth slowly disappear instead of making tough decisions and taking responsibility right now. By avoiding real reforms and only focusing on short-term fixes, they’re missing the chance to create a stronger and more competitive economy for Lebanon’s future. This must be a model that is rooted in fair competition and market-driven growth rather than political patronage.

In this vacuum, people have lost their savings, and many talented workers have left the country. Meanwhile, our resilient legal private sector, which continues to fight for survival against all odds, faces an unsustainable battle. Without a structured framework anchored in realism, clarity, and political courage, we are not just losing wealth; we are exhausting the very engine capable of driving our national recovery.

The Architecture of Failure: Beyond the Accounting Gap

The debate surrounding the Gap Law has been held captive by a disputed figure: the USD 72 billion to USD 100 billion “financial Gap” (the shortfall between what Lebanese banks owe in foreign currency deposits and the actual cash they have left at the Central Bank (BDL) and in the banks themselves. It remains fiercely disputed on how much of the State’s debt to the Central Bank is recognized as ‘recoverable’ versus ‘lost’). While officials and policymakers argue over the exact size of the deficit, the real economy is being suffocated. We have spent years treating the crisis as an accounting problem when it is, in fact, a liquidity problem.

No banking system in history has fully repaid deposits immediately after a systemic collapse of this magnitude. To promise otherwise is populist fiction, especially as the liability sits not just with commercial banks, but largely with a Central Bank and a State that have yet to acknowledge their role as the primary debtors. This lack of clarity on the ‘who’ and ‘how’ of repayment directly threatens the real economy.

Consequently, the current draft fails to recognize that the legal private sector is a key stakeholder. Companies in Lebanon are not just “big depositors”; they are the primary economic engine and the source of tax revenues and employment. While our lawful businesses have fought to survive, let us be clear: they are barely keeping their heads above water. This is a hopeless struggle against illiquidity that has forced the legal private sector to either shrink into the informal economy (according to the World Bank’s Spring 2023 Economic Monitor, Lebanon’s cash economy has ballooned to an estimated $9.9 billion – nearly 46 percent of GDP ) or relocate abroad. By freezing their working capital for 10 to 20 years as the present draft implies, the State is effectively handing a death sentence to the very actors it needs to fund its own survival.

Pivoting to a Liquidity-First Blueprint

The core objective of any financial recovery framework must be redefined: it cannot be a “Gap Law” focused on the static accounting of loss distribution. The realistic objective must shift toward restoring liquidity to the economy and restarting monetary circulation. A law that distributes losses over 10 to 20 years without immediate liquidity injection risks suffocating productive activity and prolonging the crisis.

To transition from insolvency toward a healthy, functioning economy, the following recommendations should be integrated into the Gap Law:

  • Mandate an Annual Liquidity Test: The law should introduce a mechanism to measure the combined cash-flow capacity of the State, BDL, and banks annually. This provides a transparent snapshot of public finances and ensures that repayment schedules are not set in stone
  • Create Performance-Linked Adjustments: If GDP growth, IMF support, or increased reserves outperform projections, the law must mandate the acceleration of payments to depositors
  • Structural Differentiation of Depositors: We must clearly differentiate between individual, corporate, and institutional depositors to prioritize the working capital needs of the legal private sector and restart the real economy
  • Incentivize Deposit Retention: To move away from an informal cash economy, the framework should offer incentives to keep funds in the banking system, such as digitalization measures and specific fiscal incentives

Restoring the “Social Contract” Through Targeted Accountability

While the proposed law deserves credit for attempting to introduce a formal framework for accountability, it currently lacks the specific mechanisms required to make that accountability operational. As it stands, the draft could end up being more of a symbolic gesture than a practical solution for achieving justice. To truly move past this period of “deliberate depression,” the law should do more than just recognize the need to hold those responsible for the crisis accountable. It must include clear, actionable measures that ensure those who took advantage of the situation are fairly and firmly brought to justice.

Trust isn’t rebuilt by promises alone; it takes real action. People need to see that everyone is treated fairly, and that those with special connections aren’t getting a better deal while ordinary depositors are left with all the losses.

To strengthen the law and rebuild trust in our society, clear and practical steps are required:

  • Operationalize the Investigation: The law must establish an Independent Investigation and Recovery Mechanism. To be operational, this mechanism should be designed as a specialized commission, potentially supported by international forensic auditors and legal experts. Its mandate would be to trace and claw back illicitly transferred funds and ‘extraordinary’ returns that must be clearly defined, alongside a legal mandate to direct all restituted capital toward depositor compensation.
  • Codify the Hierarchy of Loss: The framework must explicitly reaffirm the fundamental principle of financial justice: bank shareholders and owners must absorb losses before a single cent is taken from depositors. Accountability doesn’t mean much if the people who created the problem aren’t the ones held responsible for its consequences.

Institutionalize Moral Hazard Prevention Reform: Moral hazard occurs when an entity takes on excessive risk because it is insulated from the negative consequences of that risk, with costs borne by another party. Accountability must be forward-looking. Governance arrangements must be fixed to ensure this crisis does not set a precedent for future mismanagement. By reinforcing responsibility across the financial system, we can ensure that the “penalties” mentioned in the draft are not just reactive, but serve as a deterrent for the future.

Conclusion: A Path to Resurrection

Lebanon stands at a crossroads between two distinct futures. We can choose to remain in the current legislative and economic vacuum, which effectively institutionalizes the slow destruction of the businesses and industries that keep our economy running. Or, we can adopt a Gap Law transformed into a clear, courageous economic blueprint; one that prioritizes the real economy, protects the legal private sector, and restores the foundations of trust.

The legal private sector needs the breathing room to stay alive and help the economy recover. These businesses are not the source of our crisis, but they are the only viable engine of our resurrection. Parliament must recognize that we do not need a simple accounting record of our losses; we need an operational contract for recovery. Only through a balanced approach that combines immediate liquidity restoration with institutional fairness can Lebanon finally break the cycle of this “deliberate depression” and lay the foundations for a durable economic future.

Jean Tawile is a board member at RDCL, the Lebanese Business Leaders Association

February 20, 2026 0 comments
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