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Palantir Surges Amid Geopolitical Turmoil And Market Volatility

Market Resilience Amid Global Uncertainty

Shares of Palantir Technologies rose about 15% during the week following the U.S. attack on Iran, outperforming the broader technology market. Over the same period, the Nasdaq declined 1.2%, reflecting weaker performance among companies such as Apple, Google and Micron.

Government Ties And Strategic Defense Contracts

Investors have increasingly focused on companies with exposure to government spending amid geopolitical tensions and market volatility. Around 60% of Palantir’s revenue comes from U.S. government contracts. The company has expanded work with military and intelligence agencies, including projects linked to the Army’s Maven Smart System program. Analysts at Rosenblatt maintained a buy rating on the stock and raised their price target to $200 from $150, citing expectations of continued demand for defense-related data platforms.

Complexities In Artificial Intelligence Collaborations

Palantir’s collaboration with artificial intelligence company Anthropic has also drawn attention. The U.S. government recently designated Anthropic as a supply-chain risk, a decision later challenged by CEO Dario Amodei.

Despite that designation, cloud providers including Amazon, Microsoft and Google continue to support Anthropic’s AI products for commercial use. Palantir and Amazon Web Services have also worked on integrating Anthropic’s Claude models into certain defense and intelligence applications.

Sector Rebound And Industry Trends

The broader software sector recorded gains during the week. The iShares Expanded Tech-Software Sector ETF increased by about 8% as markets adjusted following earlier declines linked to concerns about the pace of artificial intelligence adoption. Companies including CrowdStrike, ServiceNow and AppLovin also posted weekly gains of more than 15%.

Looking Ahead

Analysts at Piper Sandler noted that Palantir’s model-agnostic approach could support the integration of multiple artificial intelligence systems over time. Continued demand from government and defense clients remains a key factor in the company’s growth outlook.

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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