- The military had previously urged workers to support AI, offering them unlimited tokens.
- Limits have been restored but the long-term future is less certain
- Iranian operation saw token consumption skyrocket
The US military was reportedly forced to reinstate GenAI usage limits after workers quickly used up all of their tokens, revealing that even one of the world’s best-funded agencies cannot keep up with the unpredictable and growing costs of AI.
In May 2026, it was revealed that Army would give users an unlimited number of tokens, but by mid-June, this token pool was already depleted.
Now an internal email, verified by Wiredconfirmed that these limits had to be reintroduced as a result, with usage maintained for the moment at its current level.
US military struggles to keep up with AI token spending
The availability of tokens beyond October 2026, however, remains uncertain, with the military likely concerned about rising costs.
“Apparently the entire army burned a whole year’s worth of tokens for one service,” said an anonymous employee. Wired.
As for the subtleties, Wired reports that an annual enterprise pack for Ask Sage, the military’s chosen AI platform, contained 100 million tokens, enough for about 200,000 tokens per employee per month. Users who exhausted their initial allocations were automatically allocated more, making the cap virtually useless.
To put the quantities in perspective, the Department of Defense reportedly used 20 billion AI tokens per day during its 38-day Operation Epic Fury in Iran.
More broadly, workers have been actively encouraged to use generative AI across their roles so that the military can discover exactly where the technology could seriously improve productivity.
Military aside, this particular case is the perfect example of how aggressive AI pushes don’t always take cost impacts into account. And with many AI providers now turning to unpredictable consumption- or outcome-based models instead of flat-rate per-seat subscriptions, it’s becoming increasingly difficult to forecast and allocate budgets.
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