Why Congress Should Investigate OpenAI and Anthropic's Research Practices

Georgetown professor and author Cal Newport argues that the US Congress should launch a fact-finding investigation into what OpenAI and Anthropic actually research, how, and why. His point: both labs warn loudly about the dangers of their own technology, yet neither proposes slowing down — instead they push for government action that conveniently entrenches their own position.

The Core Argument

Cal Newport's recent piece lays out a simple observation: OpenAI and Anthropic have spent years publicly emphasizing existential and societal risks tied to advanced AI — loss of control, mass job displacement, even civilizational-scale threats. Yet when it comes to solutions, neither company calls for halting or meaningfully slowing its own development.

Instead, Newport argues, their preferred policy outcome looks something like this: let government regulation keep potential competitors — open-source projects, smaller startups, foreign labs — in check, while the frontier labs themselves continue leading development largely unimpeded. That's the gap Newport wants Congress to formally examine: not just what these companies say publicly, but what their internal research priorities and lobbying asks actually amount to.

Not a New Suspicion, But a Sharper Framing

The idea that AI labs use safety rhetoric to shape favorable regulation isn't new. Ever since Sam Altman's 2023 Senate testimony — where he openly requested regulatory oversight for his own industry — critics have pointed to this as a textbook case of regulatory capture: set the compliance bar high enough, and only well-capitalized incumbents can clear it, while smaller players and open-source alternatives get squeezed out.

What Newport adds is a concrete institutional ask: rather than debating motives in op-eds, he wants a formal congressional inquiry into research activities themselves — what's being built, toward what end, and how that squares with the risk narratives these companies promote publicly.

Why This Matters Beyond the US

This tension has global consequences. Countries and companies outside the US — including in Asia — often look to US AI policy as a de facto reference point when shaping their own frameworks. If safety-driven regulation in the US ends up functioning primarily as a moat for a handful of frontier labs, that dynamic could be replicated elsewhere, raising barriers for smaller AI developers who are already playing catch-up on compute and capital.

Conversely, a transparent congressional review could set a useful precedent: separating genuine safety research from safety rhetoric used as competitive strategy. That distinction matters for policymakers anywhere trying to write AI rules without accidentally locking in today's market leaders.

It's worth noting the contrast with a story we covered earlier, on the US Justice Department linking AI and data center opposition to foreign agent rules. That case involved the government using national-security framing to discourage public criticism of AI infrastructure projects. This new debate points the other way — calling for government scrutiny to be aimed at the labs themselves, not at their critics. Together, the two stories show how the same national-security and safety language can be deployed in opposite directions depending on who's making the argument.

What to Watch

Whether this actually leads to hearings, subpoenas, or document requests — rather than staying a rhetorical argument — is the real test. It's also worth watching whether OpenAI and Anthropic respond directly to the regulatory-capture critique or simply continue their existing public messaging on AI risk.

Reference: https://calnewport.com/its-time-to-investigate-the-ai-labs/