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Satya Nadella is rebuilding Microsoft around artificial intelligence, making Azure the foundation for cloud computing, enterprise AI services and next-generation business applications.
Microsoft 365 Copilot is expanding across workplace tasks, while AI agents and flexible billing models reshape productivity, software licensing and enterprise automation.
Microsoft’s AI ambitions face infrastructure costs, competitive pressure and regulatory scrutiny, making sustainable growth, customer value and responsible deployment increasingly important.
Satya Nadella became CEO of Microsoft in February 2014, when many people saw the company as slow and tied to the Windows era. More than a decade later, Microsoft reports that its Azure cloud business crossed USD 100 billion in yearly sales for the first time. That milestone arrived in fiscal 2026 and shows how far his strategy has travelled. Nadella now treats artificial intelligence as the base layer for every product, from office tools to developer software. This article looks at how that choice is changing the way companies buy, build and use business software across the world.
Also Read: Microsoft Steps Back from Copilot+ PC Branding While Keeping AI Features
When Nadella took charge, his first big task was to change how people inside Microsoft thought and worked together. He asked employees to move from a know-it-all attitude to a learn-it-all mindset, and he encouraged teams to listen closely to customers and share ideas across groups. This gave the company room to work with former rivals, support Linux and buy platforms such as GitHub and LinkedIn. Many observers now ask whether he can reinvent the company a second time for the AI period. The early evidence suggests the cultural base still helps, as product teams move faster and connect their work more closely than before.
The cloud business now carries the AI plan, and the latest results show how strong demand has grown. Microsoft released these figures on July 29, 2026, for the quarter that ended June 30.
The company expects Azure growth of about 45% in the next quarter at constant currency.
Microsoft 365 Copilot is the product that links AI most clearly to ordinary office tasks. Paid seats rose from 20 million in April to more than 30 million in July, and the number of customers with over 50,000 seats grew more than sevenfold in a year. Large rollouts include 505,000 clinicians and staff at NHS England, 200,000 seats at HSBC and the E7 suite for 400,000 employees at EY. Nadella also said conversations per user nearly doubled from a year earlier. In his words, the results reflect "the confidence customers are placing in us to power their AI transformation."
Nadella has chosen not to depend on a single AI model for the future of Microsoft. The company now offers more than 11,000 models through its cloud catalog, including those from OpenAI, Anthropic, Mistral and xAI, along with its own MAI models. This gives business customers freedom to pick the right tool for each task, which suits large firms that dislike being tied to one supplier. It also places Microsoft in the middle of the market as a neutral marketplace, where developers can test many options and move workloads without leaving the same cloud and security setup.
A quieter change is happening in how enterprise software is sold. For many years, companies paid a fixed fee for each user seat, whether or not the person used the product often. Microsoft has now added usage-based billing next to its per-seat licenses for Copilot offerings. Nadella said Copilot revenue grew more than 60% from the previous quarter after that step. The shift matters because AI agents may do work that no single employee seat can measure. Charging for actual tasks gives customers a fairer link between cost and value, and it gives Microsoft a path to earn more as agents take on bigger jobs.
Microsoft Digital, the internal IT group, publishes detailed results from running AI inside the company. These figures give outside buyers a useful guide to what the tools can deliver in real conditions.
ADO Copilot is projected to save 73,000 hours of engineering time each year.
Reviews for work councils and tenant trust fell from 133 days to 40 days.
A lab assistant cut Tier 1 support tickets by 50% and new user training tickets by 90%.
Time for each support interaction dropped from 20 minutes to 30 seconds.
A device agent reduced asset management time and cost by about 50% in early results.
Leaders in that group say the next step is a managed fleet of AI agents working under human oversight.
Also Read: Xbox Layoffs: Satya Nadella Calls Gaming Division Streamlining ‘Great’
The strategy carries real risks that investors and customers watch closely. Chief financial officer Amy Hood has said the company is limited by computing capacity, and heavy spending on data centers needs steady demand to pay off over time. Paid adoption of Copilot drew doubts earlier this year, and the recent seat growth has only partly settled that debate. Competition from Amazon and Google also stays strong, since both sell cloud and AI services to the same large customers. Nadella has also said Microsoft is resetting its Xbox business and expects it to return to growth in fiscal 2027. The coming quarters will show how well the plan holds.
Nadella is embedding AI across Azure, Microsoft 365, developer tools and enterprise workflows. Microsoft’s strategy combines cloud infrastructure, multiple AI models and autonomous agents to help businesses automate tasks, improve productivity and integrate intelligence into everyday operations.
Microsoft is combining predictable per-user subscriptions with usage-based billing for advanced AI capabilities. Its September 2026 pricing update supports metered agent experiences, while new Copilot Business licenses purchased through eligible partners are scheduled to enable usage-based billing by default from December 1, 2026.
Microsoft announced its Maia 300 custom AI chip in October 2026, targeting more efficient AI inference and reduced dependence on external processors. Deployment is planned for 2027, with the company aiming to improve computing efficiency as AI demand increases.
Microsoft faces substantial infrastructure spending, competition from Amazon and Google, and questions about whether AI productivity gains justify costs. In October 2026, UK regulators also considered tighter oversight of Microsoft’s business software and product bundling practices.
Businesses can use Microsoft’s cloud platform, Copilot tools and AI agents to automate workflows, support employees and connect enterprise data. They should evaluate security, integration, measurable productivity gains and usage-based costs before expanding deployments across their organizations.
