After Sam Altman and others called for AI regulation, some executives including Box CEO Aaron Levie say the US should not rush like the EU did
Tech Leaders Once Cried for AI Regulation. Now the Message Is ‘Slow Down’ — https://www.wired.com/... X: Aaron Levie / @levie : One of the most common concerns about AI is the risk that it takes a meaningful portion of jobs that humans currently do, leading to major economic dislocation. Often these headlines come out of economic studies that look at various job functions and estimate the impact that AI... Steven Levy / @stevenlevy : A year ago, the tech industry presented itself as begging for AI regulation. This year the prospect of a big AI bill is as likely as Google rehiring the 8 authors of the Transformer paper. https://www.wired.com/... Kevin Bankston / @kevinbankston : “I have not been to a dinner with more than five AI people where there's a single agreement on how you would regulate AI.” Ditto. But if you are at a dinner table with five people who do agree, back away slowly since you are in a cult and the idea is bad. https://www.wired.com/... Forums: r/OpenAI : Tech Leaders Once Cried for AI Regulation. Now the Message Is ‘Slow Down’ r/technology : Tech Leaders Once Cried for AI Regulation. Now the Message Is ‘Slow Down’
Context & Ripple Effects
The policy debate was already marked by a gap between US legislative capacity and Europe’s earlier rulemaking: US lawmakers were still struggling to act on AI while the EU approach became a live compliance concern for leading labs.
Industry arguments have also been contested from within. Sam Altman’s earlier concerns about complying with the EU framework raised the prospect of withdrawing services if compliance proved impossible, while critics argued that broad safety regulation could entrench early AI winners.
First-order effects
- US policymakers face a less unified industry message: executives urging caution provide a counterweight to earlier calls for rapid, sweeping AI rules.
- Box CEO Aaron Levie and like-minded executives publicly distinguish a slower US approach from copying the EU’s regulatory timetable.
Second-order effects
- The split gives companies and trade groups more room to argue over the design and pace of rules, rather than treating “AI regulation” as a single shared industry goal.
- Debate is likely to shift toward whether proposed requirements impose disproportionate compliance burdens or protect firms that already have scale, echoing concerns that regulation can favor early AI leaders.
Third-order effects
- If this divide persists, AI governance may develop through prolonged negotiation between state capacity, incumbent platforms, and smaller adopters rather than through a single consensus framework.
- The central structural question becomes whether US rules can address AI risks without making compliance scale a durable competitive advantage; the coverage does not establish which outcome will prevail.
The trend: This is one data point in AI governance moving from broad calls for guardrails toward contested bargaining over regulatory pace, scope, and competitive effects.