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Microsoft’s M365 Copilot Reaches 20 Million Enterprise Seats

Growing Adoption And Robust Engagement

Microsoft has decisively countered skepticism regarding Copilot’s utility, emphasizing significant gains in both user base and engagement across its M365 applications, including Word, Excel, and Outlook. At the company’s quarterly earnings call, CEO Satya Nadella confirmed that there are now 20 million paid enterprise Copilot seats, highlighting the tool’s emerging role in daily business operations.

Broad Enterprise Integration And Expanding Partnerships

Nadella noted that the number of companies purchasing over 50,000 seats has quadrupled. Leading organizations such as Bayer, Johnson & Johnson, Mercedes, and Roche are each deploying in excess of 90,000 seats, underscoring broad industry trust in the platform. Microsoft’s recent deal with Accenture for over 740,000 seats marks its largest Copilot deployment to date, reinforcing the strategic importance of AI across global enterprises.

Agent Mode And The Shift To Daily Usage

Copilot’s integration into everyday workflows is underscored by a nearly 20% quarter-over-quarter increase in user queries. Nadella compared this momentum to the habitual usage of Outlook, illustrating that Copilot has effectively become a daily work companion for many users. The introduction of Agent mode, now the default across Copilot and core M365 apps such as Word, Excel, and PowerPoint, further enhances its multi-step action capabilities by allowing users to delegate complex tasks directly within documents.

Multi-Model Capabilities And Future Prospects

Highlighting the platform’s versatility, Nadella clarified that Copilot is not tied solely to models like OpenAI’s. Instead, users benefit from access to multiple models simultaneously, with intelligent auto-routing designed to generate optimal responses. This multi-model approach is further exemplified by partnerships with companies like Anthropic, whose Claude is seamlessly supported by Microsoft 365.

Market Confidence And Analyst Insights

Industry analysts are taking note of these developments. Morgan Stanley’s Keith Weiss remarked on the quarterly earnings call, emphasizing that the Copilot metrics were “super impressive” and exceeded most market expectations. Such endorsements from top financial institutions are likely to fuel further enterprise investment and confidence in AI-driven productivity solutions.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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