Regulatory capture is the mechanism Mark Zuckerberg is invoking as he argues that the United States should not ban Chinese artificial intelligence. The Meta chief has warned that American rules governing the technology risk being shaped by the industries they are meant to oversee, a structural failure mode with a record in sectors well beyond tech.
In public-choice economics, capture describes how a regulated industry gains sufficient influence over its regulator to draft its own effective standards. The damage is often definitional rather than visible in a single headline decision: which systems qualify as AI, which risk thresholds trigger disclosure, which actors count as covered entities. Each of those choices, made with incumbent participation, can raise barriers to entry while appearing to serve broader public interests. The concern has recurred across frameworks governing telecommunications, finance, and energy.
Zuckerberg's argument, as Meta's chief executive, is that AI governance in the United States carries the same risk. The framing is structural rather than geopolitical. Rules written under the heading of national security or safety can, if incumbents shape the drafting, function chiefly as competitive barriers. Chinese AI, on that reading, would be restricted not because it presents a distinct disqualifying risk but because restriction benefits whoever already occupies domestic market position.
That is a different kind of argument than the national security framing that has driven most Chinese technology policy. Whether it lands with policymakers, or reads as a self-interested position from a major AI operator, is what the reception will determine. Zuckerberg's stated answer is that a ban is wrong, and his warning against regulatory capture is the specific reasoning he has offered.