OpenAI's decision to partner with the U.S. Department of Defense (DoD) for deploying advanced AI systems, including ChatGPT technology, on classified military networks has ignited a significant consumer backlash. The company framed the deal as lawful and tightly controlled, but critics quickly mobilized a grassroots boycott movement under the banner #QuitGPT, urging users to cancel subscriptions, delete the app, and migrate to competitors.
User Backlash: Uninstall Rate Spikes 295%, Ratings Plummet
According to app analytics data, on February 28 — the day the agreement was confirmed — U.S. ChatGPT uninstall rates jumped 295% day over day. Downloads slipped 13% the following day and another 5% after that. User sentiment in app reviews took an even sharper turn: one-star ratings spiked 775% in a single day, while five-star reviews dropped by roughly half. Competitors benefited from the moment. Anthropic's Claude app recorded download increases between 37% and 51% during the same period, briefly overtaking ChatGPT in U.S. App Store rankings. Organizers of the #QuitGPT campaign claimed millions of actions tied to the movement, including cancellations and pledges, though exact figures vary depending on the source and how participation is defined.
OpenAI's Swift Response: Revised Deal Terms
OpenAI moved quickly to contain the fallout. Chief Executive Officer Sam Altman acknowledged shortcomings in how the deal was communicated, calling the rollout “opportunistic and sloppy.” Within days, the company revised the agreement language. The updated terms explicitly prohibited intentional domestic surveillance using AI systems and added stricter requirements for any intelligence agency involvement, including separate contractual layers. The company also announced plans to coordinate with other AI developers on shared safety frameworks, positioning the changes as a tightening rather than a retreat. While the backlash cooled somewhat after the revisions, the episode highlighted how quickly consumer sentiment can shift when AI crosses into sensitive territory.
Infrastructure Strategy Shift: From Self-Build to Leasing
Behind the scenes, OpenAI was making less visible but strategically significant moves. In early March, the company reorganized its computing and infrastructure operations, splitting responsibilities into three focused groups covering data center design, commercial partnerships, and on-the-ground facility management. This restructuring reflects a broader shift in OpenAI's approach to scaling computing power. Rather than aggressively building and owning massive data centers tied to its ambitious “Stargate” initiative, the company is leaning more heavily on leasing and partnerships with cloud providers. Microsoft's Azure remains central to that strategy, while OpenAI has also expanded relationships with Oracle and Amazon Web Services as part of multiyear capacity agreements. Earlier plans involving large-scale jointly owned infrastructure projects have been scaled back or reworked, as the financial and logistical realities of building AI supercomputing capacity at scale become harder to ignore. Instead, OpenAI is focusing on controlling key elements such as custom hardware and chips, while outsourcing the physical infrastructure layer to established hyperscalers.
The two developments — one public and contentious, the other operational and pragmatic — are not directly linked, but together they sketch a company moving quickly on multiple fronts, sometimes faster than its messaging can keep up. For OpenAI, the challenge now is less about whether it can build powerful systems and more about how it manages the consequences of deploying them in places where the stakes are anything but theoretical.