Microsoft’s Copilot Has a New Cost Driver. Here’s Why It Matters.

For years, buying Microsoft Copilot was relatively easy to understand. You bought licenses, assigned them to users, and knew what your monthly costs would look like.

That’s no longer the whole picture. Microsoft is introducing a new consumption-based pricing model for some of its most powerful AI capabilities. Instead of paying only for seats, organizations will also pay for the work AI performs. This change has significant implications for budgeting, governance, forecasting, and contract negotiations.

We recently published a SmartSpend Bulletin exploring these changes in detail. It breaks down how Microsoft’s new Copilot Credit model works, where organizations are likely to underestimate costs, and what procurement teams should be doing before their next Microsoft renewal. Here are a few of the biggest takeaways.

AI Is No Longer Priced Like Traditional Software

Microsoft 365 Copilot continues to be licensed on a per-user basis. Copilot Cowork is a different animal.

Copilot Cowork, Microsoft’s new agentic AI capability, requires a Microsoft 365 Copilot license, but every task it performs is billed separately using Copilot Credits. Those credits are also becoming Microsoft’s common billing mechanism for other AI services, including Copilot Studio, Dynamics 365 agents, Work IQ APIs, and Power Platform AI.  

For procurement teams, that means AI costs are becoming a blend of predictable subscription spending and variable consumption. Managing those two cost models requires a different approach than simply forecasting license counts.

Estimating AI Spend Is More Difficult Than It Looks

Microsoft groups AI work into light, medium, and heavy tasks, but those categories lack nuance.

The number of credits consumed depends on several variables, including the AI model performing the work, how much organizational context is being processed, the runtime required to complete the task, and the actions the agent performs across Microsoft applications.  

In other words, the cost of using AI isn’t determined simply by how many employees have access. It’s driven by how they use it and that’s the challenge most customers haven’t figured out yet – how to manage and forecast a highly volatile and unpredictable facet of Microsoft spend.

Consumption Can Add Up Faster Than Expected

One example in our bulletin models a 150-user Copilot deployment with what most organizations would consider moderate adoption.

Even under those assumptions, consumption adds roughly 75% on top of the monthly licensing costs. As usage increases, it’s entirely possible for AI consumption to rival or even exceed the cost of the licenses themselves.  

That’s one reason we encourage organizations to be cautious about making long-term consumption commitments before they have enough usage data to understand what “normal” actually looks like.

Microsoft’s AI Pricing Now Extends Into Azure Strategy

There’s another important consideration that many organizations haven’t connected yet: Copilot Credit spending also counts toward Microsoft’s Azure Consumption Commitment (MACC). For some organizations, that creates flexibility. For others, it creates pressure to forecast AI consumption well before there is enough historical data to support those forecasts.

The bulletin recommends treating early AI consumption estimates as planning assumptions rather than commitment targets. Actual usage data should drive long-term commitments, not optimistic adoption projections.  

Governance Can’t Wait Until After Deployment

Many organizations have established governance around AI security, privacy, and acceptable use. Commercial governance needs to become part of that conversation.

Who has access to agentic AI? What spending thresholds trigger alerts? Who owns a shared tenant-wide credit pool? How will the business determine whether higher-cost AI workflows are delivering enough value?

Those questions become much harder to answer after thousands of AI tasks are already running every day.

Read the Full SmartSpend Bulletin

This is only a snapshot of what’s covered in our latest bulletin:The New Economics of Microsoft Copilot: Managing Seats and Consumption. If you’re looking for a deeper dive, read the full version to learn:

• A detailed explanation of how Copilot Credits work
• The tradeoffs between pay-as-you-go and Microsoft’s P3 pre-purchase program
• A cost model illustrating how AI consumption builds over time
• The relationship between Copilot Credits and Azure MACC commitments
• Negotiation strategies for Enterprise Agreements and Copilot expansions
• Practical governance recommendations to help organizations stay ahead of variable AI costs

How NPI Can Help

As Microsoft shifts toward consumption-based AI pricing, procurement teams need more than licensing expertise. They need confidence that projected costs, commercial commitments, and governance strategies reflect how their organization will actually use AI.

NPI helps enterprise IT and procurement teams validate business cases, benchmark Copilot pricing and credit commitments against the market, right-size Azure and Copilot consumption commitments, and establish governance frameworks that keep AI spending visible, predictable, and aligned with business value from day one. If you have questions about Copilot pricing or have a Microsoft purchase or renewal on the horizon, let us know.