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ECB Launches Geopolitical Stress Tests For 110 Eurozone Banks

by THEFUTURE.TEAM

March 9, 2026

The European Central Bank is preparing a new round of geopolitical stress tests aimed at assessing potential risks to major financial institutions across the euro area. Up to 110 systemic banks, including institutions in Greece and the Bank of Cyprus, will take part in the exercise, which examines how geopolitical events could affect financial stability.

Timeline And Testing Process

Banks are expected to submit initial data on March 16, 2026. Supervisors will review the information in April, while the final results are scheduled to be published in July 2026. The process forms part of the ECB’s broader supervisory work to evaluate financial system resilience under different risk scenarios.

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Geopolitical Shock As The Primary Concern

The stress tests place particular emphasis on geopolitical risks. These may include armed conflicts, economic sanctions, cyberattacks and energy supply disruptions. Such events can affect banks through changes in market conditions, borrower solvency and sector exposure. Lending portfolios linked to regions or industries affected by geopolitical developments may face higher risk levels.

Reverse Stress Testing: A Tailored Approach

Unlike traditional stress tests that apply the same scenario to all institutions, the reverse stress test requires each bank to define a scenario that could significantly affect its capital position. Banks must identify a geopolitical shock that could reduce their Common Equity Tier 1 (CET1) ratio by at least 300 basis points. Institutions are also expected to assess potential effects on liquidity, funding conditions and broader economic indicators such as GDP and unemployment.

Customized Risk Assessments And Supervisor Collaboration

This methodology allows banks to submit risk assessments based on their own exposures and operational structures. The approach is intended to help supervisors understand how geopolitical events could affect institutions differently and to support discussions between banks and regulators on risk management and contingency planning.

Differentiated Vulnerabilities Across Countries

A joint report by the ECB and the European Systemic Risk Board indicates that countries respond differently to geopolitical shocks. The Russian invasion of Ukraine led to higher energy prices and inflation across Europe, prompting central banks to raise interest rates. Belgium, Italy, the Netherlands, Greece and Austria experienced increases in borrowing costs and lower investor confidence. Germany, France and Portugal recorded more moderate changes, while Spain, Malta, Latvia and Finland showed intermediate levels of exposure.

Conclusion

The geopolitical stress tests will not immediately lead to additional capital requirements for banks. Their results will feed into the Supervisory Review and Evaluation Process (SREP). ECB supervisors may use the findings when assessing capital adequacy, risk management practices and operational resilience at individual institutions.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.