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Goldman Sachs Predicts Gold Prices To Surge To $3,700 By Late 2025

In a bold forecast, Goldman Sachs has increased its gold price prediction to $3,700 per ounce by the end of 2025. This adjustment comes amid unexpected demand from central banks and a strengthening perception of recession risks, drawing investors towards gold ETFs.

Key Points

  • Initial forecasts pegged the price at $3,300, but central banks’ monthly gold acquisitions, averaging 80 tons — much higher than the 17-ton average before 2022 — have warranted a forecast revision.
  • Gold prices have already seen a significant increase of over 23% in 2025, surpassing the $3,200 mark for the first time.
  • Should central banks continue acquiring at an accelerated pace, or if a recession prompts a capital influx into ETFs, gold could rise to $3,880 within this year.

What To Watch

Economists estimate a 45% chance of a U.S. recession within 12 months, potentially redirecting capital to gold ETFs. Should central banks ramp up purchases to 100 tons monthly, or recession-driven demand persist, gold might reach $3,880 by year-end. Alternatively, if economies show resilience and political uncertainty lessens, gold prices could stabilize around $3,550.

Copyright Law Struggles To Keep Up With AI Training

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.

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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