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Not on the evidence available. A December 2025 report said Microsoft reduced some Azure salespeople’s growth targets for newer AI software by as much as 50%; Microsoft disputed that this meant aggregate AI sales quotas had been cut. The report raised questions about how quickly customers were adopting the products, but it did not establish that Microsoft’s agent business had failed. Later company-reported Copilot and agent usage figures point to growth, while leaving profitability and customer retention unanswered.

What the December 2025 report said—and what Microsoft disputed

Futurism, citing The Information, reported that some Azure salespeople had their growth targets for newer AI software reduced by as much as 50% earlier in 2025. The Information’s report was titled “Microsoft Lowers Sales Staff’s Growth Targets For Newer AI Software” and credited to Aaron Holmes. Its full text is subscriber-restricted, so the scope and underlying evidence for the reported changes cannot be independently assessed here.

Microsoft rejected the interpretation that its aggregate AI sales quotas had been lowered. A spokesperson, in a statement quoted by Futurism from a response to Bloomberg, said: “The Information’s story inaccurately combines the concepts of growth and sales quotas” and that “aggregate sales quotas for AI products have not been lowered.” The reported reduction in some growth targets and Microsoft’s denial about aggregate quotas are not necessarily contradictory: they describe different measures and potentially different groups of sales staff.

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Futurism also reported that Microsoft’s stock fell more than 2.5% on the Wednesday its story appeared. That is a time-specific market movement, not proof of sustained investor sentiment or a direct measure of customer demand for agents.

What Microsoft reported about Copilot and agent usage later

On its FY2026 Q3 earnings call, Microsoft said it had more than 20 million paid Microsoft 365 Copilot seats, that year-over-year Copilot seat adds were up 250%, and that first-party agents’ monthly active usage had increased sixfold year to date. The company also said nearly 60% of its service customers were purchasing usage-based credits.

These are Microsoft-reported measures of seats, usage, and credit purchases. They are evidence of adoption and consumption, but not a direct accounting of agent revenue, profitability, renewal rates, or whether sales teams met their targets. Nor do seat counts alone show how often users get useful work done with an agent.

Microsoft described a shift in business applications from a traditional seat model toward “seats plus consumption.” That matters when judging sales: a customer may pay for user access, usage-based credits, or both, depending on the product and the data an agent uses. A single seat figure cannot capture all of those purchasing paths.

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Why “Microsoft AI agents” is not one product or one bill

Microsoft’s documentation distinguishes agent experiences by entitlement and data access. Some declarative agents in Copilot Chat are available at no additional cost. Agents that access shared tenant data, such as SharePoint or Graph Connector content, are billed according to metered consumption. Microsoft says more advanced agent creation is available through Copilot Studio.

Its Sales agent documentation describes a natural-language interface to sales data, CRM records, past customer conversations, email, Teams meetings, and messages. Access to data grounded in Microsoft Graph requires Microsoft 365 Copilot. Dynamics 365 Sales Enterprise or Premium users without that entitlement can use CRM data only. Microsoft says the agent surfaces information a user is permitted to access, and that results depend on the data available in the customer’s tenant.

This mix of included experiences, paid entitlements, metered usage, and data permissions makes “selling agents” difficult to reduce to a single quota or adoption number. For a business evaluating an agent, the useful questions are what data it can reach, which licenses are needed, what usage costs, and how well it performs on the company’s actual work.

Do agents reliably handle office work?

There is evidence that agents still struggle with extended workplace tasks, but it should not be mistaken for a Microsoft product test. TheAgentCompany, a 2025 preprint by researchers affiliated with Carnegie Mellon University and Duke University, evaluated agents in a simulated software company. Tasks included browsing, coding, and communicating with simulated coworkers. The authors report that “the most competitive agent can complete 30% of tasks autonomously.” They describe progress on simpler tasks while longer-horizon work remains difficult.

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That 30% is a result for the benchmark’s evaluated systems, task definitions, and simulated environment—not a completion rate for Microsoft agents in customer deployments. The paper also reports partial-completion results, so full autonomous completion should not be treated as the only measure of performance. A benchmark can illuminate broad reliability limits without establishing how a specific product performs in a particular organization.

For an enterprise buyer, a more useful evaluation measures task completion and partial credit on representative work, the human review and recovery needed when an agent errs, access to company data and permissions, total license and usage costs, and governance and auditability. The cited evidence does not provide a head-to-head Microsoft-versus-competitor evaluation.

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What would show whether Microsoft’s agent push is succeeding?

The available facts support a qualified conclusion: a report about changed growth targets exposed pressure to sell newer AI software, while Microsoft’s later public metrics show paid Copilot seats and agent usage growing. Neither fact settles whether the business is a success. Sales targets are not the same as customer outcomes, and activity is not the same as durable value.

  • Customer economics: whether paid seats and consumption translate into recurring revenue and sustainable margins.
  • Retention and use: whether organizations renew, expand deployment, and use agents for valuable tasks over time.
  • Task performance: whether agents complete relevant work accurately, with acceptable review and recovery effort.
  • Deployment costs and controls: whether licensing, metered consumption, permissions, and governance fit each customer’s needs.

Microsoft’s official blog presents Agent 365 as a control plane for observing, governing, managing, and securing agents, and lists Agent 365 at $15 per user and Microsoft 365 E7 at $99 per user. Those are vendor-advertised prices on that page, not a complete comparison of deployment costs; regional pricing and licensing should be checked with Microsoft because they can change.

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