S&P 500, Nasdaq Hit Records on AI Stocks and Falling Oil

Internal documents from a copyright lawsuit against OpenAI and Microsoft reveal executives privately acknowledging the scale of data appropriation that underpins current AI systems. A Microsoft director of applied science described the process as creating a “doom loop” that threatens the economic foundations of content suppliers while degrading the quality of information available online. These admissions emerged in filings from Mother Jones and other publishers, who argue that models were trained on copyrighted material without permission, amounting to an unprecedented transfer of value from creators to tech platforms.

The revelations arrive as markets reward AI progress. Meta’s new Muse assistant drove an 11 percent jump in the company’s shares, pushing the broader AI trade higher and lifting chipmakers including AMD to trillion-dollar valuations. Asian indexes followed the gains, reflecting investor confidence that technical advances will continue even as regulatory and legal questions mount. Oil prices eased on separate geopolitical developments, providing additional support for equities, but the dominant narrative in trading remains the durability of demand for AI infrastructure.

The tension between rapid capability gains and unresolved questions about inputs is not new, yet the documents add specificity. Executives at the companies have discussed how reliance on existing web content could erode the very sources that make models useful, a dynamic that echoes long-standing concerns about platforms extracting value from newsrooms and other producers without sustaining them. Lawsuits from multiple publishers frame the issue as one of basic property rights rather than abstract innovation policy.

Market enthusiasm, meanwhile, centers on product releases and hardware orders rather than the upstream supply of training data. The disconnect highlights how financial incentives can diverge from the institutional health of the information economy. Content creators face revenue pressure at the same time chip demand accelerates, a pattern that could intensify if models continue to draw from the open web without new compensation mechanisms.

Geopolitical developments add another layer. Upcoming talks between President Trump and Chinese leader Xi Jinping are expected to address AI risks alongside trade and security issues. Separate reports on potential diplomatic steps involving Iran have contributed to lower energy prices, illustrating how AI’s trajectory intersects with wider questions of global stability and resource flows. For now, however, the clearest signal from markets is continued investment in the technology itself.

The underlying legal disputes will test whether current training methods can persist or whether courts will require changes to how data is sourced and compensated. Those outcomes could reshape both the economics of content production and the pace at which AI capabilities advance.