A US congressional inquiry into five leading AI developers, including Microsoft and Google, signals a new phase of regulatory scrutiny for the rapidly growing sector.
A US congressional inquiry into five leading AI developers, including Microsoft and Google, signals a new phase of regulatory scrutiny for the rapidly growing sector.

US lawmakers have initiated an inquiry into the large language models developed by five major technology firms, a move that signals escalating regulatory pressure on the artificial intelligence sector and creates new uncertainty for its biggest players. The bipartisan group of lawmakers sent letters on May 14 to Microsoft, Google, X, Anthropic, and Perplexity seeking information about the data used to train their powerful AI systems, their safety protocols, and their content moderation policies.
The inquiry creates a complex dynamic for the US government, which is simultaneously exploring the use of AI to improve its own services. Acting Librarian of Congress Robert Newlen recently requested $5.4 million to develop a secure, enterprise AI platform, telling lawmakers that without it, "we will be left behind." "We need to be able to develop and manage AI models in a controlled and secure environment," Newlen said, highlighting the government's dual interest in both fostering and controlling the technology.
The move by US lawmakers follows a more advanced regulatory push in Europe. The EU's Digital Markets Act (DMA) is already forcing changes to how tech giants operate, with Alphabet-owned Google facing proposals that would compel it to help AI rivals access its services. Apple has sharply criticized the measures, warning in a submission to the European Commission that they "would create profound risks for user privacy, security, and safety."
For investors, the US inquiry adds another layer of risk to a sector already facing legal and financial headwinds. This scrutiny could lead to new legislation that governs AI development, potentially limiting the pace of innovation and increasing compliance costs for companies like Microsoft and Google, which have staked their future growth on AI. The development comes as Anthropic, one of the firms named in the inquiry, is already navigating a $1.5 billion settlement with authors over claims its AI was trained on copyrighted material, showing the mounting costs of legal challenges.
The congressional inquiry suggests the US may be starting to mirror Europe's more assertive stance on tech regulation. While the US has historically favored a lighter touch, the rapid proliferation of generative AI has raised concerns across the political spectrum about issues ranging from copyright infringement to the potential for mass disinformation.
The EU's DMA serves as a potential blueprint, and its implementation is being closely watched globally. Apple's public criticism, where it stated the European Commission is effectively "redesigning an OS" based on "less than three months of work," illustrates the deep resistance from major tech companies. The pushback from Apple and Google in Brussels may inform the strategies the five questioned companies deploy in their responses to US lawmakers, potentially setting the stage for a prolonged debate over the future of AI governance.
The government's position is uniquely complex, as highlighted by the Library of Congress's AI initiative. Officials like Robert Newlen are eager to use the technology to manage vast datasets and improve public services, such as addressing a significant backlog of bill summaries. Newlen noted that with an enterprise AI platform, the Congressional Research Service could more efficiently deliver analysis to Congress.
This desire to innovate from within the government itself runs parallel to the push for external regulation. It underscores the central challenge for policymakers: how to establish guardrails that protect the public without stifling the technological advancements they also seek to harness. The outcome of this inquiry could therefore set a precedent for how the US navigates this balance, with significant implications for the competitive landscape of the entire AI industry.
This article is for informational purposes only and does not constitute investment advice.