OFICIAL Microsoft Source

The next measure of AI momentum is work transformed

What happened
Based on Microsoft Source · Jul 30, 2026

Microsoft reports that Microsoft 365 Copilot has reached 30 million paid seats, with quarterly net additions more than doubling, signaling a shift from AI as a tool to an active participant in enterprise workflows.

🚩 Report a correction ↗ Open source

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Key points
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In yesterday’s earnings call, we shared that Microsoft 365 Copilot has surpassed 30 million paid seats, with net seat adds more than doubling quarter over quarter.
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This is an important milestone, but it’s also a signal that points to a much broader shift: Across every industry, AI is moving from assistant to active participant, becoming an essential part of how work gets done, rather than just a tool people use.
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And employees are directing agents to take on tasks, projects, and processes, expanding their agency and increasing their impact.
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The first phase of enterprise AI was defined by adoption—deployments, licenses, and hours saved—real gains that will continue to compound.
Key numbers
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Microsoft announced that Microsoft 365 Copilot has surpassed 30 million paid seats, with net seat additions more than doubling quarter over quarter.
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Analysis-related tasks now account for 49% of all Copilot tasks, up from 29%, indicating AI is increasingly handling multi-step workflows rather than isolated actions.
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Industries like automotive and healthcare are emerging as fast-growing adopters, with the number of enterprise customers deploying Copilot to most information workers growing nearly 75% quarter over quarter.

Microsoft announced that Microsoft 365 Copilot has surpassed 30 million paid seats, with net seat additions more than doubling quarter over quarter. The company describes this milestone as a transition point where AI is no longer just an assistant but an active participant in work processes across industries. Organizations are redesigning workflows around AI agents, enabling employees to delegate tasks and projects, thereby expanding their impact. Microsoft frames this as the next phase of enterprise AI, moving beyond adoption metrics to measurable transformation in how work is performed.

Microsoft highlighted data showing deepening and broadening Copilot usage, with conversations per user nearly doubling in the past year and weekly engagement now comparable to Outlook and Teams. Analysis-related tasks now account for 49% of all Copilot tasks, up from 29%, indicating AI is increasingly handling multi-step workflows rather than isolated actions. Industries like automotive and healthcare are emerging as fast-growing adopters, with the number of enterprise customers deploying Copilot to most information workers growing nearly 75% quarter over quarter. Organizations are scaling Copilot rapidly, with the number of customers with over 50,000 seats increasing more than sevenfold year over year.

Case studies illustrate how organizations are tailoring AI to specific roles and workflows. Microsoft’s Cloud Supply Chain team reduced cycle time by 75% after simplifying workflows and deploying over 70 purpose-built agents. Eaton used an AI-powered quality agent to accelerate root cause analysis, enabling earlier risk identification while keeping experts central to decisions. Premera Blue Cross empowered employees to build over 900 agents, including one that cut a manual contract workflow from 30–45 minutes to about three minutes.

Microsoft emphasized that organizations creating the most value are tailoring AI to specific roles rather than deploying general-purpose tools. Examples include S&P Global’s Copilot agent for commodities research, which delivered 95% faster data extraction and 98% faster comparative analysis, and Microsoft’s sales team, where dedicated agents doubled time spent on customer-facing activities, increasing revenue per head by 9.4% and deal closure speed by 20%. Kantar’s HR agent resolved 40% of queries without human intervention within months, with a target of 95% by year-end.

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