
A research group led by Daniel Kokotajlo has released a proposal for the US and China to pause frontier AI development temporarily while building safety infrastructure. Unlike earlier AI safety warnings that emphasized existential risk, this report argues that existing AI capabilities can already fuel substantial economic growth—the real bottleneck is computing infrastructure, not research speed—making safety and prosperity compatible goals rather than opposing ones.
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The AI Futures Project, headed by former OpenAI researcher Daniel Kokotajlo, released a report called "Plan A" advocating for the US and China to cooperate on a temporary pause of frontier AI research to build safeguards around safe development.
Why it matters
The group argues that current AI capabilities are already sufficient to drive years of innovation and economic growth even if development stopped today—the constraint is data-center capacity and infrastructure, not continued research progress. The report reframes AI safety not as anti-growth but as compatible with unprecedented economic expansion.
What to watch
The plan proposes enforcement mechanisms to prevent cheating, though the author notes that global cooperation of this scale appears unlikely given current geopolitical divisions and competing national interests.
The AI Futures Project's shift in messaging reflects a strategic recalibration within the AI safety movement. Last year's report leaned on fear—warning of existential risk if development proceeded unchecked—and generated significant attention in tech and policy circles. This year, Kokotajlo and his team are testing whether a more optimistic framing might prove more persuasive: that building safeguards around AI is not an obstacle to growth but a prerequisite for capturing the economic benefits of current and near-future capabilities.
The report's core claim is economically significant: it decouples AI progress from continued frontier research. By arguing that infrastructure and data-center deployment are now the binding constraint rather than algorithmic innovation, the group creates space for a pause on frontier development without sacrificing growth. This reframing matters because it sidesteps the accelerationist critique—that safety concerns are anti-growth—by asserting they need not be.
However, the proposal itself hinges on cooperation between the US and China that the article's author describes as "pie-in-the-sky." The plan includes enforcement mechanisms to prevent cheating, but as the author notes, global leadership capable of setting aside competing interests "is scarcer than GPUs and high-bandwidth memory." Kokotajlo acknowledges the framing may be "clumsy" and seems to regard the report more as analytical groundwork than a finished political proposal, inviting others to draw inspiration and refine the argument.
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