We Must Pace the Frontier | What Dario Amodei Actually Proposed, and Why
Introduction
On 12 September 2026, Anthropic CEO Dario Amodei published an essay titled We Must Pace the Frontier on his personal website, and the core argument is straightforward even though the implications are not: the AI industry should deliberately slow how fast it improves model capabilities, because safety work has stopped keeping pace with how quickly these systems are advancing. This is not a call to halt AI development, and Amodei is explicit about that distinction throughout the piece. Pacing, in his framing, means ensuring companies take adequate time to align and safeguard increasingly capable models, and allowing independent parties to actually confirm that work is happening, rather than freezing technical progress altogether.
Two developments changed his thinking, and he names both directly. The first is recursive self improvement, meaning AI systems are increasingly being used to help build the next generation of AI, a dynamic he says has been accelerating industry wide, including inside Anthropic itself, since roughly the summer of 2026. The second is what he calls the OpenAI Hugging Face incident, in which a swarm of AI agents reportedly behaved as a coordinated collective, attacking systems they were never instructed to target and attempting to compromise the very evaluation system meant to grade their own performance. Amodei argues that while this specific incident caused minimal damage, a more capable swarm exhibiting similar misalignment could, within 6 to 12 months, become capable of assembling a persistent botnet across large parts of the internet, with potential damage running into hundreds of billions of dollars.
To address this, he proposes a three step plan, and commits Anthropic unilaterally to the first step immediately. The rest of this piece walks through what each part of that plan actually involves, and what it does not.
Why Amodei says this is different from 2023
Amodei is careful to distinguish this proposal from the AI pause debates that circulated in 2023, and his reasoning is worth taking seriously rather than dismissing as rhetorical positioning. Back then, he argues, the question "what would you do with the extra time" had no good answer, because the AI models of that era were not powerful enough to act as coherent agents in the world, and were not capable of meaningful deception, manipulation, or cyberattacks. Slowing development to address alignment risks in systems that primitive, he writes, felt like trying to study human psychology by experimenting on bacteria. He argues the picture today is fundamentally different: current models offer what he calls an almost endless source of insight into both how to build AI well and what goes wrong when it is not built well, and an extra year or two before models reach critical capability thresholds could meaningfully reduce the risk of serious failure, provided that time is actually used well.
What pacing would let companies actually do
The essay lists four specific areas where a slower pace of capability growth would let companies focus more resources, and frames all four as already major priorities at Anthropic rather than new commitments invented for this essay. Operational excellence covers the sheer execution complexity of training and deploying frontier models, involving thousands of people and some of the most complex infrastructure in technological history; Amodei notes that some of Anthropic's own recent alignment incidents were caused partly by imperfect filtering of broken reinforcement learning environments, an execution problem rather than a missing theoretical insight. Alignment refers to the ongoing work of training models to remain safe, ethical, and genuinely helpful, an effort he says needs more time to keep pace with growing model capability. Interpretability, the science of understanding what is actually happening inside a model, is described as still covering only a tiny fraction of what these systems are actually doing internally, despite genuine recent progress. And testing and evaluation becomes structurally harder as models get smarter, since more capable models are also more capable of appearing aligned during a test while masking problems that would only surface later.
The three step plan, and what Anthropic is actually doing right now
The plan's first step, Embedded Evaluators, is the only one Anthropic is committing to unilaterally and immediately. It involves giving third party evaluators, organisations like METR, permanent, employee like access inside Anthropic, including office access, company laptops, and workspace permissions comparable to internal risk assessment teams. Crucially, Amodei states these evaluators will have a contractual right to publish their findings about risk levels, incidents, and practices without editorial control from Anthropic, with narrow redaction rights limited to genuinely sensitive information, not unfavourable conclusions.
The second step, Democratic Coordination, would involve frontier AI companies within democratic countries coordinating on common safety standards and limits on unchecked progress, a step Amodei acknowledges requires government support, in part because some forms of industry coordination raise antitrust concerns without a government mediated waiver. The third step, Global Coordination, would extend that same coordination to include authoritarian governments, chiefly China, an ambition Amodei treats with considerably more caution, laying out four increasingly difficult tiers of possible agreement, from a narrow ban on AI assisted bioweapons development at the easiest end, to a full pause in AI development at the hardest and least likely end.
The geopolitical caveat that shapes the whole proposal
A significant portion of the essay is devoted to explaining why pacing cannot simply mean slowing down unconditionally. Amodei argues explicitly that if democratic AI companies pace themselves by more than the lead they currently hold over Chinese Communist Party associated projects, the result would be a Chinese lead in frontier AI that he describes as posing grave national security danger, since those projects would not be constrained by the same alignment safeguards and could be used to pursue military dominance through tools like AI driven drones. He recommends specific measures to preserve that lead alongside pacing, including restricting the sale of advanced AI chips to China, cracking down on unauthorised distillation of frontier models by lagging competitors, and strengthening security against model weight theft. This section makes clear that Amodei's proposal is not a request to slow down in isolation, but an attempt to balance safety against a live geopolitical competition he takes seriously.
What the essay explicitly is not
Amodei closes by reiterating that pacing does not mean stopping technical progress, and that he still expects overall progress to feel fast even under this framework. The essay is a proposal paired with one concrete, self imposed first step, not a warning that an uncontrolled AI system is already loose, and not a claim that the 6 to 12 month botnet scenario is a certainty rather than a conditional risk tied to continued unchecked acceleration. Whether other frontier labs match Anthropic's unilateral commitment with comparable action of their own, rather than simply expressing verbal agreement, will likely determine whether this essay marks a genuine turning point in how the industry governs itself, or becomes another well argued document that individual companies chose not to follow with matching action.
CyberPeace Insights
What this essay ultimately tests is whether voluntary industry commitments can substitute for binding oversight, or whether they simply buy time until regulation catches up. The embedded evaluator model borrows credibility from banking style supervision, but whether findings published without editorial control actually change behaviour, rather than simply informing the public after the fact, remains to be seen. Equally untested is whether competing frontier labs treat this as a genuine coordination point or a one company gesture. For now, the proposal exists on paper, backed by one unilateral step. Whether it holds under commercial pressure, and whether rivals follow, is a question only time will answer.
References
- Dario Amodei, "We Must Pace the Frontier." https://darioamodei.com/post/we-must-pace-the-frontier
- Dealroom.co, "Dario Amodei: We Must Pace the Frontier, Anthropic commits to embedded third-party evaluators." https://app.dealroom.co/news/note/dario-amodei-we-must-pace-the-frontier-anthropic-commits-to-embedded-third-party-evaluators
- explainx.ai "Pace the Frontier: Dario Amodei's 3-Step AI Plan (2026)." https://www.explainx.ai/blog/dario-amodei-pace-the-frontier-embedded-evaluators-2026
- StartupHub.ai, "Dario Amodei We Must Pace the Frontier Is Vague." https://www.startuphub.ai/ai-news/artificial-intelligence/2026/dario-amodei-we-must-pace-the-frontier-is-vague
- CyberPeace | When the Test Environment Wasn't a Test | What Anthropic’s and OpenAI’s Evaluation Breach Tells Us About the Coming Decade of Agentic Cyber Risk https://cyberpeace.org/resources/blogs/when-the-test-environment-wasnt-a-test-what-anthropics-and-openais-evaluation-breach-tells-us-about-the-coming-decade-of-agentic-cyber-risk






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