GitHub’s decision to temporarily halt new sign-ups for its Pro, Pro+ and student subscriptions is a rare moment in the world of Big Tech, when the demand for artificial intelligence brutally collides with the physical limitations of the infrastructure. Microsoft, the platform’s owner, admits outright: Copilot has become a victim of its own success. The tool is consuming resources at a rate that the original business model simply did not anticipate.
What initially looked like a technical problem actually exposes a deeper crisis in the ‘token economy’. Developers have stopped treating Copilot as a simple code autocomplete and have started using it for complex architectural tasks and deep refactoring. Such advanced operations require gigantic computing power and generate costs that are starting to strain GitHub’s margins. The company admitted that the current load “far exceeds” the assumptions on which the subscription plan structure was based.
The introduction of a lock-in for new users is meant to protect the experience of those who are already paying, but even they must prepare to tighten their belts. GitHub has announced the introduction of strict session and weekly limits, which de facto ends the era of unlimited AI support. The most painful cut for professionals is the depletion of the library of available models. Claude Opus 4.5 and 4.6 have disappeared from the Pro and Pro+ subscriptions, leaving only the latest version 4.7 as the top-of-the-line offering.
GitHub is openly encouraging developers to ‘save money’ and use smaller, cheaper models more often whenever possible. It’s a strategic shift that will force a new form of hygiene on IT departments – managing token budgets will become just as important as managing cloud budgets.
The current registration paralysis is probably just a temporary pause needed to reformat the offering. We can expect that when Copilot goes back on sale, its pricing will be much more reflective of real process costs, perhaps moving to a ‘pay-as-you-go’ model for the most demanding tasks. Microsoft is proving that even with unlimited capital, computing capacity remains a scarce resource that must be managed with ruthless discipline.
