Microsoft Plans Significant Copilot Discounts for Enterprise Customers
Microsoft is preparing price discounts of up to 50 percent for enterprise customers purchasing volume licenses for its AI assistant Copilot, according to international media reports.
What happened?
Microsoft plans to offer enterprise discounts ranging from 30 to 50 percent on subscriptions for its AI assistant, Copilot. According to information published on September 22, 2026, the higher discount tiers require large enterprise customers to commit to volume purchases and pay additional fees for certain usage-based features. The new discount structure is expected to take effect in October 2026, coinciding with a major update to the service.
Key facts
| Maximal rabatt | 50% |
|---|---|
| Lägsta rabattnivå | 30% |
| Planerad start för rabatter | Oktober 2026 |
Why it matters
The shift marks a strategic move to accelerate Copilot adoption among large enterprises by lowering the barriers for volume licensing. Simultaneously, the company is introducing a subscription model combined with usage-based pricing for advanced features such as AI coding and AI agents. Furthermore, a redesigned version of Copilot is being launched, consolidating these tools into a single application.
Who is affected?
The offer primarily targets IT procurement officers, corporate executives, and developers at large enterprises utilizing the Microsoft ecosystem. End-users who leverage coding tools and autonomous AI agents in their work will also be affected by the integrated platform.
Impact on the EU
The launch plans and new discounted agreements are expected to apply globally for Microsoft's enterprise customers, including organizations within the EU. Any pricing and data protection aspects remain subject to Microsoft's existing framework for the European market.
What else you should know
The report is based on information provided to The Information regarding internal instructions given to Microsoft’s sales force. Details concerning contract terms and pricing may vary depending on customer size and specific feature modules.
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