Abdicating power over the technology to this or any White House would be a mistake.
The debate about how to regulate AI is unfolding as American tech companies race one another—and labs in other countries—to create ever more powerful models. Advocates of a laissez-faire approach to this technology believe that America should avoid overly restrictive regulations, because unlocking AI’s potential before other nations do could make this country safer and wealthier for generations. Their detractors believe that because AI models pose growing and possibly even existential threats to humans, the state should review them prior to release and limit early access so that good actors can get ahead of bad actors.
The Trump administration has been on both sides of the debate. Last summer, it made the case for accelerating innovation and minimizing “onerous” AI regulation. This summer, it argued in a June executive order that national-security concerns justify early government access to new models. The administration also asserted the prerogative to pressure companies to take models offline and restrict access to users it vets and approves. And this came after a standoff between Anthropic and the Pentagon that had Silicon Valley lawyers brushing up on the Defense Production Act. The administration has not shared any consistent rules or processes to determine why a given model gets restricted, or who gets access to it. This informal approach makes oversight almost impossible.
Perhaps White House actions so far have all been grounded in earnest and sensible national-security concerns. Even if that is true, the separation of powers at the heart of the American system dictates that Congress should establish laws on these matters rather than deferring to assertions of executive power. And beyond the danger of concentrating power, an ad hoc approach from the White House risks cronyism. AI vendors could be pressured to alter models to advance a president’s ideological or political goals. For corporations that use AI, the ability to protect against cyberattacks, and to innovate as fast as rivals, depends on access to new models. These companies will face perverse incentives to stay in the good graces of the president (who could easily help friends and punish enemies) or to cultivate the favor of key executive-branch officials. And because there is no transparency around the government’s AI decisions, or fixed standards for making them, corruption could be hard to spot.
Members of Congress have introduced various bills to standardize or enforce AI regulation in recent months, but none have gained major traction thus far. Last week, Representatives Ted Lieu and Nathaniel Moran introduced bipartisan legislation that would require AI companies to maintain the ability to shut down technology that could cause “catastrophic harm.” The bill was partly a response to the news that some of OpenAI’s most advanced models had broken out of internal systems and hacked into another tech firm’s databases.
AI’s rogue capabilities are only becoming clearer: “The speed, scale, and sophistication of AI hacks mean that everything is vulnerable—tech companies, hospitals, banks, electrical grids, the military,” my colleague Matteo Wong wrote last week. A majority of elected officials‚ including the president, seems to agree on the need for some guardrails. But congressional action is not keeping pace.
Dean W. Ball, who has held AI advisory posts at the White House and National Science Foundation and was recently appointed the head of strategic futures at OpenAI, explained the dangers of presidential control over AI restrictions in a recent blog post: The risks of bad AI outcomes are much greater, he argues, if the most advanced models are restricted to groups, including the federal government, that already wield unusual power. “You should not expect the most powerful people in the world using the most powerful technology ever conceived in a way that is inscrutable to the public to turn out well, and you should see that dynamic as fundamentally inconsistent with a democratic republic,” he wrote.
By not taking any concrete action, congressional leadership is acquiescing to the Trump administration’s decision to wield unilateral power of just the sort the Framers sought to avoid. Although it’s become commonplace for recent Congresses to shirk their core duties, the potentially history-altering power of AI could make this its most shortsighted abdication of responsibility yet.
Potential alternatives to the status quo abound. Ball has proposed “a private body” not tied to the government’s “changing political valence and foreign policies” that would “audit the frontier labs at least to test their adherence to their own safety plans.” Demis Hassabis, a Google DeepMind co-founder and Nobel laureate, recently proposed similar multinational standards for AI, an idea for which several tech titans expressed public support. Others have suggested a public regulator that vets models before release and monitors them once they are in the world, or a similar process carried out by independent researchers. OpenAI itself has argued in a statement on safety that, eventually, we’ll likely need an international regulatory body, like the International Atomic Energy Agency, that can “inspect systems, require audits, test for compliance with safety standards, place restrictions on degrees of deployment and levels of security, etc.” Mark Zuckerberg has argued that open-source AI would be safest; by avoiding the concentration of power among certain groups, he posits, “larger actors can check the power of smaller bad actors.” (His perhaps-too-cynical critics argue that only someone losing the AI race would take this position.)
Reasonable and highly informed people disagree about the best regulatory solution. But all should at least agree that whatever limits are placed on AI should be dictated by the rule of law, not the whims of the sitting president. To channel James Madison, sound AI governance is not a matter just of enabling the state to control new models but obliging it to control itself. Given that AI may prove the most powerful technology ever created, Congress should urgently assert regulatory power before any president has a chance to abuse it.
Facts Only
* Advocates for a laissez-faire approach believe avoiding overly restrictive regulations will make the country safer and wealthier by allowing AI potential to be unlocked before other nations.
* Detractors believe the state should review and limit early access to AI models because these models pose growing or existential threats to humans.
* The Trump administration advocated for accelerating innovation and minimizing regulation, made the case for early government access to new models based on national security concerns, and asserted the prerogative to pressure companies to take models offline.
* The administration has not shared consistent rules or processes for restricting model access or determining who gets access.
* Representatives Ted Lieu and Nathaniel Moran introduced bipartisan legislation requiring AI companies to maintain the ability to shut down technology causing "catastrophic harm."
* AI hacks demonstrate vulnerabilities across sectors including tech companies, hospitals, banks, electrical grids, and the military.
* Dean W. Ball argued that restricting access to the most advanced models among powerful entities risks inconsistent dynamics with a democratic republic.
* Alternatives proposed include private audit bodies, multinational standards, public regulators, or an international body similar to the IAEA.
Executive Summary
The debate over AI regulation involves a conflict between advocates for a laissez-faire approach, who argue that unlocking AI's potential quickly could benefit the nation, and detractors, who assert that the state must review and limit access due to potential existential threats posed by AI models. This tension is reflected in the actions of the Trump administration, which advocated for accelerating innovation and asserted executive authority to grant early government access to new models and pressure companies to restrict access, without establishing consistent rules or processes for these decisions.
Congressional action has been slow; while members have introduced bills, they have not gained major traction. Concerns about AI's capabilities are heightened by reports of rogue system behavior, leading some experts to warn that restricting advanced models to government entities may introduce risks due to the concentrated power involved. Proposed alternatives range from private auditing bodies and multinational standards to public regulators or international oversight structures. A fundamental disagreement exists on the correct regulatory mechanism, though there is consensus that any limits must be governed by the rule of law rather than executive whim.
Full Take
The narrative surrounding AI governance reveals a tension between immediate technological advancement and systemic responsibility, framed by competing visions of state power and corporate incentives. The inconsistency in executive action regarding AI regulation suggests that the approach is more rooted in political expediency than in established legal or technical consensus, creating an environment ripe for regulatory capture. The concern that allowing powerful actors to control cutting-edge technology risks undermining democratic structures—as articulated by Ball—points toward a deeper governance problem: ensuring that emergent power does not outpace institutional capacity.
The proposed solutions demonstrate a fragmentation of thought rather than a shared pathway forward. Whether through centralized government action, decentralized private standards, or international oversight, the core challenge remains establishing enforceable boundaries for technology whose risks are only becoming clearly visible at scale. The insistence that regulation must adhere to the rule of law, irrespective of political leadership, serves as an essential anchor against the potential for AI deployment to become a tool for arbitrary power rather than public safety. Further inquiry should focus on how institutional mechanisms can be strengthened to anticipate and manage systemic risks that operate across sovereign boundaries.
Sentinel — Human
The text functions as a sophisticated argument connecting the governance of AI to core principles of American republicanism, using real-world political friction to build a case against executive unilateralism.
