Microsoft turns Copilot into a super-app and introduces usage-based pricing
Microsoft is consolidating Copilot into a single super-app and implementing a new pricing model. Customers will pay a fixed monthly subscription for core features, supplemented by consumption-based billing for more advanced AI services.
What happened?
Microsoft has presented its new vision for Copilot as a unified super-app for chat, Office applications, coding, and autonomous agents. Concurrently, a new pricing model has been introduced, combining a fixed User Subscription License (USL) with Usage-Based Billing (UBB). The fixed subscription covers core features for everyday AI use, while more advanced agent services and compute-intensive tasks are billed according to actual consumption.
Key facts
| Lanseringsdatum | 28 september 2026 |
|---|---|
| Prismodell fast del | User Subscription License (USL) per användare/månad |
| Prismodell rörlig del | Usage-Based Billing (UBB) baserat på nyttjande |
Why it matters
Microsoft describes the design of the new model as an evolution in pricing intended to manage the varying resource demands of advanced AI services. For customers, the combination of fixed and variable fees means that costs are linked directly to the extent of advanced feature usage, placing greater demands on cost monitoring and budgeting within corporate IT departments.
Who is affected?
The changes affect IT departments, developers, and corporate customers who use Microsoft 365 and Copilot in their daily workflows. Users relying solely on basic chat and office functions will maintain a fixed monthly license, while organisations deploying more complex AI agents will face variable costs based on consumption.
Impact on the EU
This news concerns Microsoft's global pricing model for Copilot. Companies within the EU using Copilot are subject to the same model, featuring both fixed licensing and usage-based fees, as applied in other markets.
What else you should know
The change reflects a clear trend among major AI providers to shift more resource-intensive computing capacity to usage-based models. It remains to be seen how corporate customers will adapt their AI tool budgets when costs are directly driven by the intensity of agent usage.
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