IMF Managing Director Kristalina Georgieva told Bloomberg’s Leaders with Francine Lacqua podcast on June 8 that the world needs to build foundations capable of withstanding shocks that have become more frequent — and stop waiting for conditions to normalize. “I am worried that we are not completely internalizing yet that this is how the world is going to be,” she said. “We are not going to get to a place where shocks are gone.” Georgieva has led the IMF through the COVID-19 pandemic, the war in Ukraine, tariff chaos, and the Iran conflict. Her warning is not the concern of someone anticipating the next disruption. It is the assessment of someone who has stopped believing disruption is the exception.
The IMF is scheduled to update its global economic forecasts in July after cutting its outlook in April, when the fund warned that the Iran conflict had darkened prospects for the world economy. Its latest projection puts global growth at 3.1% in 2026 and 3.2% in 2027 under a reference scenario that assumes the conflict remains limited in duration and scope. That projection carries a caveat built into its construction: it assumes conditions stay contained. Georgieva’s interview was a direct challenge to that assumption.
The more consequential argument in the interview is not about shocks — it is about AI. Georgieva said the IMF and other institutions failed to recognize the inequalities produced by globalization, and she wants to ensure the same mistake does not happen with artificial intelligence. “We collectively, including the fund, did not appreciate the backlash against globalization that came from the fact that, yes, the world economy is doing better as a whole, but many communities were hollowed out because their jobs disappeared and there was not enough attention to them,” she said. “I’ll tell you what I’m very keen not to see repeated is the same with artificial intelligence.” Fox News
That comparison is more precise than it sounds. Globalization produced aggregate gains that were real and measurable — and distributed them in ways that concentrated benefit at the top while eliminating the economic floor in specific communities. The backlash was not irrational. It was the political consequence of an economic transition that prioritized efficiency over equity and assumed the gains would eventually reach everyone. They did not. The tariff chaos Georgieva cited as one of the crises she has navigated is itself a downstream consequence of that failure — a political correction to an economic model that left too many people behind for too long.
AI is running the same logic faster. The productivity gains are real. The concentration of those gains — in the cap tables of a small number of companies, among workers with specific technical skills, in the valuations of firms eliminating the roles they are replacing — is also real. What the globalization parallel reveals is that the distributional question does not resolve itself. It compounds until it produces a correction, and corrections at the scale of global trade policy are neither clean nor surgical.
Georgieva is not the first institution leader to make this comparison. She is among the first to make it from inside the institution most responsible for the global frameworks that governed globalization’s rollout — and to name the IMF‘s own failure explicitly. That acknowledgment matters because it closes the escape route that institutional leaders typically use: the argument that outcomes were unforeseeable. The world must ensure the benefits of artificial intelligence do not leave communities behind as globalization once did. That framing is not a warning about the future. It is a description of a pattern that has already been established once — and is running again.
The question Georgieva did not answer — and that no institution has yet answered — is what it would actually take to build for distribution rather than aggregate growth. Globalization had an answer for how to maximize total output. It did not have an answer for who absorbed the cost when that output was achieved. AI is arriving with the same gap in its architecture. The IMF‘s updated July forecast will tell us where the numbers are heading. It will not tell us who is carrying the weight when they arrive.