EU Delegation: Lebanon Has Made ‘Only Limited Progress’ on Reforms

Lebanon's caretaker Prime Minister Najib Mikati heads a cabinet meeting, at the government palace in Beirut, Lebanon April 4, 2024. REUTERS/Mohamed Azakir
Lebanon's caretaker Prime Minister Najib Mikati heads a cabinet meeting, at the government palace in Beirut, Lebanon April 4, 2024. REUTERS/Mohamed Azakir
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EU Delegation: Lebanon Has Made ‘Only Limited Progress’ on Reforms

Lebanon's caretaker Prime Minister Najib Mikati heads a cabinet meeting, at the government palace in Beirut, Lebanon April 4, 2024. REUTERS/Mohamed Azakir
Lebanon's caretaker Prime Minister Najib Mikati heads a cabinet meeting, at the government palace in Beirut, Lebanon April 4, 2024. REUTERS/Mohamed Azakir

The Delegation of the European Union to Lebanon said Friday that the country has made “only limited progress” since April 2022 when it agreed on a program of actions and reforms with the International Monetary Fund (IMF).

“Its implementation would have unlocked over $3 billion in assistance, additional support from donors, put Lebanon back on the path of economic recovery and restored its international credibility,” the EU delegation said in a statement.

“Unfortunately, since then, only limited progress has been made,” it said.

According to the statement, the situation in Lebanon “could and should serve as a driver for change.”

It said it was “critical” to elect a president and form a fully functioning government. “But a delay should not hinder the implementation of agreed key reforms, in order to restore the trust of international actors and Lebanese citizens in the financial system.”

“The adoption of the 2024 budget within constitutional deadlines, the reforming of the bank secrecy law and the stabilization of the exchange rate, have shown that where there is a will, there is a way,” said the statement.

The delegation stressed that structural reforms are necessary to avoid the country being trapped in a perpetual cycle of crises.

“Decisive leadership is needed. The answers to Lebanon’s economic crisis can only come from within Lebanon,” it said.

“The time to act is - always – now,” the statement added.



GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders
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GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

The third edition of the Global AI (GAIN) Summit, organized by the Saudi Data and AI Authority (SDAIA) will be held in Riyadh on September 10-12.

The summit will showcase the global experiences in the field of artificial intelligence technologies, including those that focus on the importance of business leaders' understanding of rapidly developing AI technologies, and reflecting on how to increase production driven by strategic decision-making.

The deliberations of over 300 speakers, including experts, specialists, and decision-makers from 100 countries will present business leaders and those interested in the field of data and AI with promising options and opportunities to benefit from the technologies.

The speakers will deliberate on the most effective methods of utilizing AI to make strategic decisions, support responsible leadership, analyze the extent of the impact of AI on the growth of business activities and productivity, and motivate employees within an attractive work environment that meets the aspirations of business leaders.

The summit will underscore the importance of senior leaders and policymakers in making strategic decisions, determining the scope and directions of work, and achieving a competitive advantage for business. These decisions are guided by organizational policies, available resources, future plans, and other decisions based on AI.

According to a study by PricewaterhouseCoopers, productivity growth and improvement of manufacturing processes were five times faster when AI was used to adjust processes, identify shortcomings, and reduce waste and errors.

Predictive maintenance can also reduce downtime and speed up the pace of production, allowing the plant to increase production with the same or fewer inputs.