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Rosie Campbell left OpenAI in late November 2024 after nearly three and a half years, saying the departure of policy researcher Miles Brundage and the dissolution of OpenAI’s AGI Readiness team helped prompt her decision. Her December 1 account described her as unsettled by organizational changes and concerned that existing safety approaches might not be enough for much more capable AI. The headline claim that OpenAI’s trajectory “alarms” her is a dramatic paraphrase, not her exact description.
What Campbell said about leaving OpenAI
In her December 1, 2024, post, Campbell said her final week at OpenAI had arrived after almost three and a half years at the company. She wrote that she wanted to pursue the goal of safe and beneficial advanced AI from outside OpenAI, and specifically connected her decision to Brundage’s departure and the winding down of the AGI Readiness team.
Campbell’s concerns were about direction and preparedness, not a single publicly identified incident. She said changes over roughly the preceding year had left her unsettled, and urged colleagues to take seriously the possibility that the approaches then in use might not be sufficient for substantially more powerful systems. She did not allege a specific safety breach, accuse a named executive of misconduct, or say that OpenAI had abandoned safety.
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Campbell’s work was in policy and governance
Campbell was an AI policy and governance researcher, not principally a model-training or alignment engineer. She said she joined OpenAI in mid-2021 to help establish safety policies and processes for the API, then moved into Policy Research and worked with Brundage. Her work included AI governance, frontier policy, AGI readiness, dangerous-capability evaluations, digital sentience, and governance questions raised by AI agents.
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That distinction matters: her departure was a warning from someone working on how advanced AI should be evaluated, governed, and prepared for—not a public account from a lead engineer responsible for a particular model’s technical alignment.
Why Miles Brundage’s departure mattered
Brundage left OpenAI in October 2024. In his departure essay, he said he wanted greater independence and freedom to publish, and planned to work on AI policy and governance across the industry. He also wrote that OpenAI, other frontier labs, and the world were not yet ready for AGI, while distinguishing that present lack of readiness from the question of whether they were on track to become ready.
Brundage had worked closely with Campbell, so his exit was both a professional loss and a sign that the organizational function they shared was changing. Campbell linked the two events in explaining her choice, but she did not present Brundage’s resignation as proof that OpenAI had stopped caring about safety.
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Brundage said the Economic Research team would move under OpenAI’s chief economist, while the rest of AGI Readiness would be distributed among other teams; some projects would move to a Mission Alignment team. That is evidence that a dedicated team was dissolved or reorganized. It is not evidence that every safety function at OpenAI disappeared.
The reorganization admits more than one interpretation. Critics may worry that dispersing a dedicated readiness group weakens its visibility, authority, or ability to challenge product priorities. A company could instead argue that embedding projects in other teams makes safety work more integrated into day-to-day decisions. The public accounts establish the restructuring, but do not by themselves settle which effect it had.
What “AGI readiness” means
Readiness is broader than a product-launch checklist. In Brundage’s account, it encompasses the ability to develop increasingly capable systems safely, protect them from misuse or compromise, deploy them beneficially, and govern their effects through institutions and policy. It also involves preparing organizations and the wider world for consequences that may not be captured by a model’s benchmark scores.
Brundage cautioned that “AGI” is an overloaded term and that capabilities are better understood as a continuum than as a switch that flips at one clear threshold. The practical question is therefore not only whether a system qualifies as AGI, but whether safety, security, deployment, and governance arrangements keep pace as systems become more capable.
A broader pattern, but not one shared explanation
Campbell’s exit came amid other high-profile departures from OpenAI’s safety and policy work. Brundage left in October 2024. Jan Leike had left the company’s Superalignment effort in May 2024, amid public discussion about safety priorities. These exits form relevant context, but each person’s stated reasons and work were distinct; they should not be collapsed into a single collective accusation.
Departures can signal disagreement, changing incentives, or a loss of institutional expertise. They do not, on their own, prove that a company’s safety posture deteriorated. Establishing that would require evidence about actual practices, resources, decision-making, and outcomes, beyond the fact that people chose to leave.
Did Campbell oppose building AGI?
No such conclusion follows from her post. Campbell described herself as motivated by the aim of making advanced AI safe and beneficial, and said she intended to continue related safety, governance, and policy work outside OpenAI. Her concern was whether institutions and safety methods were keeping pace—not a stated rejection of advanced AI research altogether.
What happened next
Campbell later became associated with Eleos AI Research. Her profile and archive identify subsequent work there, including a March 2025 post about working on AI welfare. That is later career context, separate from the reasons she gave for leaving OpenAI in 2024.
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Campbell’s choice points to a real trade-off in AI governance. Researchers inside a frontier lab may have access to decision-makers and the systems being developed, but can face limits on independence or publication. External work can provide more freedom and an industry-wide perspective, but less direct influence over one company’s decisions. Her post records why she thought leaving was the better route for her; it cannot establish which setting is more effective overall.
The most accurate reading is narrower than the dramatic headline: Campbell was unsettled by organizational changes, the loss of a dedicated AGI-readiness structure, and doubts about whether existing safety approaches would scale. That is a serious warning about preparation and institutional direction, not proof that OpenAI had abandoned safety or that AGI was imminent.
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