On June 1, GitHub Copilot moves to usage-based billing. The era of subsidized AI is ending, and the path most teams have been on is closing with it.
The change is straightforward in shape. Premium request units are out; token-based billing is in. Each plan includes a monthly allowance of AI Credits, with overage available at API rates. GitHub’s own announcement said the previous model “is no longer sustainable.”
This isn’t a one-vendor story, but it isn’t every vendor either. The shift is concentrated in subscription-priced coding assistants: tools that, like Copilot, have been billed as flat-rate seats while the actual cost of inference scaled with usage. Anthropic restructured enterprise pricing in April along similar lines: lower seat fees, mandatory consumption commitments, and the removal of long-standing volume discounts. Tools that were already priced against usage from the start, like Devin, aren’t making this transition because they were never on the subsidy. The pattern is specifically about flat-rate subscriptions that obscured cost.
For the past two years, attractive pricing gave organizations room to adopt at their own pace: pilot, evaluate, expand carefully, or hold back until the tooling matured. The vendor was absorbing the gap between subscription price and actual cost, and that gap was what bought everyone time. The vendor isn’t going to keep absorbing it.
That leaves teams with two coherent paths.
The first is concentrated, disciplined deployment. A smaller group of users gets access to the frontier models, doing the kind of high-leverage work that justifies the per-token cost. Heavy use, narrow scope, real output to point at.
The second is thinner, restrained adoption. Lighter models, tighter prompts, less reliance on agentic workflows that burn tokens fast. Lower ceiling, lower cost, broader access.
What disappears is the third path: premium tools used casually across the whole team. That was the path most organizations were on by default, and it stops being economically defensible the moment the subsidy ends.
Neither of the two real paths is wrong. They’re different bets about where the value lives: concentration of capability versus broader access to a smaller capability.
The two paths aren’t equally risky in every direction, though. In my book, I write about the engineer’s version of this: the temptation to sit out a platform shift and wait for it to settle. History isn’t kind to that bet. Even disruptions much smaller than a general-purpose technology—a change in banking regulation, a shift in retail logistics, a new manufacturing standard—have been enough to redraw which companies still exist and which became case studies. Restraint looks prudent in the moment. The cost shows up later, in markets you didn’t realize you were ceding.
The pricing isn’t the inflection point. The pricing is the forcing function for a decision teams have been deferring.