Robust Meat Market Dynamics Ensure A Fully Stocked Easter Feast

by THEFUTURE.TEAM

April 13, 2026

Meat supply increased ahead of Easter 2026, with prices remaining broadly stable despite higher seasonal demand, according to data from slaughterhouses and the Consumer Protection Service Price Observatory. Market data show higher volumes of lamb and pork alongside limited price increases across key categories.

Strong Supply And Price Stability

Recent data indicate increased meat supply compared to the same period last year, supporting availability during peak demand. Higher volumes helped limit price increases across most product categories. Stable supply conditions contributed to controlled pricing despite seasonal pressure on demand.

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Enhanced Competition With Greek Lamb Imports

Market supply was supported by the import of 4,000 lambs from Greece, increasing availability and competition. Additional supply contributed to price stability across lamb products. Domestic production adjusted as imports increased, with 2,105 fewer lambs processed locally on Great Tuesday compared to the previous year.

Dynamic Production Trends In Meat Processing

A total of 19,883 lambs were slaughtered over the past six days, marking a 6% increase compared to the same period last year. Pork production also increased, with 10,655 pigs processed versus 9,452 a year earlier, representing a 13% rise. Higher output across categories reflects increased supply ahead of the holiday period.

Price Adjustments In Key Meat Categories

The average price for locally sourced lamb reached €14.10 per kg, up 4.76% compared to last year. Pork prices declined, with tenderloin averaging €5.97 per kg (-4.47%) and neck cut €6.16 per kg (-1.62%). Poultry remained stable at €4.16 per kg, recording a marginal decrease of 0.05%, maintaining its position as the lowest-cost option.

Overall Cost Implications For The Festive Table

An indicative Easter table for eight people is estimated at €186.42 in 2026 for 19 basic products, compared to €179.36 in 2025, reflecting a 3.9% increase. Meat prices had a limited impact on the increase. Higher costs were driven by vegetables, with tomatoes rising by 81.73% and cucumbers by 42.24%. Prices for fresh potatoes and olive oil declined by 12% to 19%, partially offsetting overall costs.

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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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