What does Katrina Mulligan mean when she says the world is looking at a calendar while OpenAI is looking at a watch?
The metaphor captures a fundamental compression of time. At OpenAI, the internal saying is that a month feels like a quarter anywhere else — meaning three to four months there equates to roughly a year of experience in any other organization. Mulligan uses the calendar-versus-watch image to tell government: you are measuring AI progress in the wrong unit of time, and that miscalibration has real strategic consequences.
Mulligan came to this observation through direct experience. She describes her move from the Pentagon — one of the most hierarchical and bureaucratic organizations on earth — to OpenAI as the hardest professional transition of her career, precisely because the texture of time itself felt different. It was not just the pace of decisions or the absence of hierarchy; it was that the underlying technology was changing fast enough to make long-range planning close to impossible.
What "recalibration" means here
For Mulligan, asking government to recalibrate is not a rhetorical flourish. It means treating AI development cycles the way a trader watches a live ticker, not the way a city council reads an annual report. The unit of meaningful change at OpenAI is weeks and months, not quarters and fiscal years — and any policy or planning framework that ignores this is already behind.
This temporal gap is made more concrete by what is at stake globally. As of this episode, the U.S. lead over China in AI capability is estimated at six to eight months — itself a figure that underlines how compressed the competitive window has become. In a race measured in months, a government that thinks in calendar years is not just slow: it is operating on a different timeline entirely. You can explore the full episode and Mulligan's broader argument on AI governance on Listenly.
"We often say internally that a month at OpenAI feels like a quarter anywhere else. And so once you've hit three months in or four months in, it's like you've been a year anywhere else."
— Katrina Mulligan, Head of National Security Partnerships, OpenAI · 3 Takeaways™ ep. 315About Katrina Mulligan
Mulligan holds a uniquely rare vantage point at the intersection of national security and frontier AI. Before joining OpenAI, she served in senior roles across the Department of Defense, the National Security Council, and the Department of Justice — culminating in serving as the number two official at the Pentagon overseeing special operations. These positions gave her deep first-hand knowledge of how the U.S. government thinks, plans, and moves on technology issues at the highest levels.
Her move to OpenAI — which she describes as the hardest professional transition of her career — placed her on the opposite end of the institutional spectrum: a fast-moving, flat, and rapidly iterating organization building some of the most consequential technology in the world. That experience of crossing from maximum hierarchy to its exact opposite is precisely what grounds her calendar-versus-watch metaphor. She does not speak about the AI-government gap in the abstract; she has lived it from both sides. In her current role at OpenAI, she focuses on national security partnerships, making her one of the few people equipped to translate between the speed of frontier AI development and the slower cadences of governmental decision-making.
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