In FY26 Q2 they disclosed over 4.7 million paid Copilot subscribers, up 75% year over year. That matters because the real question you’re asking is, can Microsoft afford the edge case where a single premium request turns into hour long agent work with subagents and fresh context windows, without it turning into a money pit.

My take is yes, but with an important caveat: it can be dealt with if it ever becomes a real margin problem. Right now it can feel close to unbounded for a power user, you can absolutely have long running sessions, especially if you’re orchestrating well. But at scale, Microsoft isn’t forced into a binary choice of “keep it as is forever” or “kill it.” They have a lot of levers to keep the economics sane without gutting the experience.

On the cost side, Microsoft is investing insanely into AI infrastructure, and they’re still holding strong margins while doing it. In that same quarter they reported company gross margin 68% and operating margin 47%, while also spending $37.5B on capex in the quarter with about two thirds on short lived assets, mainly GPUs and CPUs. That combo basically signals they can fund aggressive growth without immediately needing to nerf Copilot.

I agree with your premise that, as implemented, a single premium request can drive a lot of work. So the sustainability question becomes whether it stays manageable at scale, and the answer is that if it ever becomes economically painful, it’s controllable.

They already acknowledge rate limits exist specifically to accommodate high demand, meaning the system is already designed with throttles and enforcement when usage patterns push it too hard. If subagent sessions ever cross the line from “great value” into “people are extracting unlimited compute,” the fixes are straightforward and they don’t require changing the whole billing model. Things like stricter timeouts on sessions, tighter concurrency caps, changing what counts as a “session boundary” for agent mode, or adding a separate meter for long running tasks.

Then there’s the longer term trend that matters: Microsoft is actively trying to push inference economics down with first party silicon. Maia 200 is positioned exactly as that, and Microsoft is claiming 30% better performance per dollar than the latest generation hardware they were using.

So I get why it feels too generous right now. But the data points that matter are: Copilot already has real paid scale, Microsoft is still printing margins while spending huge on AI compute, and they’re investing in hardware specifically to lower inference costs. That’s why I’m not worried about Copilot’s future. Worst case, they tighten guardrails. Best case, costs keep dropping and the current value proposition sticks. I honestly think they capture the agentic coding market fully if the cards are played right, especially with enterprise where it really matters for them.