Today starts the day that GitHub has moved Copilot to a usage-based billing model, replacing premium request units with GitHub AI Credits and tying cost to the model used and the number of tokens consumed. For development teams, this is not just a pricing change; it is a governance change that makes AI usage more visible, more measurable, and more important to control. If you want to read the official annoucement you can do it here.
Why this matters
Under the new model, Copilot usage is measured in AI credits, with monthly allowances included in each plan and the option to buy more if needed. GitHub says code completions and next edit suggestions remain included, but chat, CLI, cloud agent, Spaces, Spark, and third-party coding agents consume credits.
That means the real risk is no longer only “how much AI are we using?” but also “which team, which workflow, and which model are driving the spend?” In practice, the new billing model makes AI governance even more important than before, because unmanaged usage can quickly turn into unmanaged cost, inconsistent tooling, and unpredictable delivery patterns.
What teams should do
Leaders should review how Copilot is being used across IDEs, chat, CLI, and agentic workflows, then decide where AI should be encouraged, limited, or budgeted. Decice which models to use and map a model/task workflow. GitHub also introduced budget controls and usage visibility, which gives organizations a chance to set clear guardrails instead of reacting after the bill arrives.
A sensible first step is to define who can use which AI tools, for what purposes, and under what budget. That conversation belongs with engineering leadership, platform teams, security, and finance together, not after the fact.
A practical takeaway
If your team is already using GitHub Copilot heavily, this is the moment to treat AI usage like any other production capability: measured, governed, and aligned with business value. The screenshot above shows how the new billing view makes that usage visible, and that visibility should become part of your operating model. AI is becoming embedded in day-to-day development, so the organizations that win will be the ones that manage it deliberately instead of casually.
Need help
If your team needs help putting governance around GitHub Copilot and other AI tools, reach out and I’ll help you think through the right controls, budgets, and operating model.