Euro Area Inflation Rises To 1.9% In February

Headline Figures Signal Modest Acceleration

Euro area annual inflation rose to 1.9% in February 2026, up from 1.7% in January, according to Eurostat’s flash estimate. The increase marks a modest acceleration in headline inflation. Inflation trends, however, remain uneven across member states.

Notable Price Stability In Cyprus

Cyprus recorded an annual inflation rate of 0.9% in February, the lowest among euro area countries under the Harmonised Index of Consumer Prices (HICP). The figure continues a period of relatively stable price growth compared with other member states.

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Sectoral Insights: Services Lead The Climb

Services inflation accelerated to 3.4% in February from 3.2% in January, remaining the main contributor to overall price pressures in the euro area. Food, alcohol, and tobacco held steady at 2.6% year-over-year, suggesting stabilization in consumer staples. Non-energy industrial goods increased to 0.7% from 0.4%, indicating moderate pricing pressure outside the energy component.

Energy Prices And Economic Divergence

Energy prices remained in negative territory but declined at a slower pace, moving from -4.0% in January to -3.2% in February. The deceleration in energy deflation reduced the downward pressure on headline inflation. Among major euro area economies, Germany’s inflation rate eased to 2.0% from 2.6%, while Spain recorded 2.5% and Italy 1.6%, reflecting uneven price dynamics across core markets.

Regional Disparities In Eastern Europe

Inflation remained elevated in parts of Eastern Europe and the Baltics. Slovakia posted 4.0%, Croatia 3.9%, and Estonia 3.2%, all above the euro area average. Slovenia moved in the opposite direction, with inflation rising to 2.8% from 1.9% year-over-year.

Monthly Variability And Short-Term Movements

Month-on-month data highlight short-term volatility. Belgium recorded a 2.5% increase and the Netherlands 1.5%, while Cyprus showed no monthly change. Slovakia posted a modest 0.1% increase, indicating more stable short-term pricing compared with Western European peers. These snapshots provide crucial insights for policymakers and investors navigating the complex inflationary environment.

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Copyright Law Struggles To Keep Up With AI Training

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.

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