Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
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Microsoft is working with ALERTCalifornia and UC San Diego, combining Azure cloud and AI with a powerful camera network to give first responders earlier, clearer situational awareness, often before the first 911 call. That early insight can help stop small fires from becoming devastating ones and better support those protecting lives, homes, and communities. Juan M. Lavista Ferres, Carol Ann Browne, Dr. Neal Driscoll, Zachary Wells, Amy Michaels, Sai Narain
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Just reported our quarterly results. We are still in the beginning phases of AI diffusion and its broad GDP impact, and already we’ve built an AI business that is larger than some of our biggest franchises that took decades to build. Our quarterly cloud revenue crossed $50 billion for the first time. What’s striking is it was less than 10 years ago that our annual cloud revenue was $10 billion! (That is what expanding TAM + good execution looks like) A few other highlights from across the stack: 1/ Cloud & Token Factory: The key metric we are optimizing for is tokens per watt and per dollar, which is all about increasing utilization and decreasing TCO using silicon, systems, and software. A good example is the 50% increase in throughput we were able to achieve in one of our highest volume workloads – OpenAI inferencing powering our Copilots. We will also continue to scale our new 1P systems like Maia 200 with every gen, and look for the best economics and innovation from our ecosystem partners. 2/ Agent Platform: Like in every platform shift, all software is being rewritten. A new app platform is born. You can think of agents as the new Apps. We’re providing everything customers need to build their own agents, including model catalogs, harnesses for orchestration, context engineering, plus AI safety and observability. Already, over 1.5K customers have used both Anthropic and OpenAI models on Foundry. 250+ customers are on track to process >1T tokens on Foundry this year. Fabric is also gaining momentum, now at a $2B annual run rate. And we’re creating a new category w/Agent 365, which extends governance, identity, security, and management to agents. 3/ High Value Agentic Experiences: We are entering an age of macro delegation and micro steering across domains. Intelligence using multiple models is built into multiple form factors. Lots of momentum across our family of Copilots: • Consumer: Daily users of Copilot app up nearly 3X year-over-year • Productivity: 15M paid M365 Copilot seats, and multiples more enterprise Chat users • Coding: 4.7M paid GitHub Copilot subs, up 75% year-over-year • Healthcare: 21M patient encounters documented, up over 3X year over year 4/ Bottomline: Our TAM will grow substantially across every layer of the tech stack as this diffusion accelerates and spreads, and we feel very good about how we’re delivering for our customers today and innovating to capture the opportunity ahead. You can read more about our results here: https://lnkd.in/g92aPQj9
Just announced: Microsoft’s Q2 earnings Microsoft Cloud revenue crossed $50 billion this quarter. ✅ Commercial remaining performance obligation of $625 billion. ✅ Commercial bookings increased 230% (up 228% in constant currency). ✅ Exceeded expectations across revenue, operating income, and earnings per share. ✅ “We are only at the beginning phases of AI diffusion and already Microsoft has built an AI business that is larger than some of our biggest franchises. We are pushing the frontier across our entire AI stack to drive new value for our customers and partners.” - Satya Nadella Read the full release here: https://lnkd.in/gWz6QcRz
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At Microsoft Ignite in November, we introduced Frontier Transformation—a holistic reimagining of business aligning AI with human ambition to help organizations achieve their highest aspirations and growth potential. While AI Transformation centered on efficiency and productivity, Frontier Transformation challenges us to do more for humanity by democratizing intelligence to unlock creativity and innovation for organizations and people around the world. Across industries, our customers are leading the way to becoming Frontier, sharing three common traits: •Putting AI in the flow of human ambition so people can achieve more in every role, across every industry •Inspiring the maker in every one of us with ubiquitous innovation that amplifies creativity and accelerates impact •Bringing observability to every layer of the stack to ensure outcomes are reliable, secure, and aligned with the business Microsoft’s differentiation is delivering cloud and AI capabilities built on a foundation of Intelligence + Trust. Our intelligence layer—Work IQ, Fabric IQ, and Foundry IQ—is grounding Copilots and agents in an organization’s own data, logic, and workflows; while Agent 365 is a single control plane for the governance, management, security, and observation of agents. I invite you to read my latest earnings blog to learn how our customers—many featured at Ignite—are achieving more with Frontier Transformation. https://lnkd.in/gYQsisXW https://lnkd.in/g4DDCG2v
One question is shaping every conversation around artificial intelligence in 2026: Where is AI going next? In January’s edition of The Monthly Tech-In, we explore how AI is moving beyond novelty toward real-world impact. From innovations in health care to breakthroughs in climate science, we dig into how AI is expanding into new territory. We also highlight the key AI trends to watch this year and share practical insights for startups navigating what comes next. Welcome to a new year of The Monthly Tech-In. Let’s explore what’s ahead.
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Our newest AI accelerator Maia 200 is now online in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure. Read more: https://lnkd.in/ghvtfJYe
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We are thrilled to announce a new multi-year partnership with the Mercedes-AMG PETRONAS Formula One team ahead of the 2026 season. By putting Microsoft’s technologies at the center of racing performance, we are turning data into real-time intelligence that powers faster decisions, smarter strategies, and sustained competitive advantage—on and off the track. Read today’s press announcement to learn more: https://lnkd.in/g4dcasSH.
When the rules change, the best teams don’t just adapt, they re-architect. That mindset is what brings Microsoft and the Mercedes-AMG PETRONAS Formula One Team together. From factory to circuit, we’re applying trusted cloud and enterprise tech to help teams move faster, collaborate smarter, and operate with precision. https://lnkd.in/gds23FYK
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Welcome to the Mercedes family, Microsoft 🤝 The team is delighted to announce a multi-year collaboration with Microsoft, which aims to accelerate efficiency and innovation to help drive performance and amplify the excitement for the more than 800 million Formula 1 fans worldwide. Full story >> https://lnkd.in/encKhmn8 #Microsoft #Technology #Partnership #MercedesAMGF1 #Formula1
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Introducing Rho-alpha, our newest robotics model from Microsoft Research. Rho-alpha turns natural language into precise control for bimanual robotic manipulation, adding new sensing modalities and learning from human feedback. Looking forward to what’s to come as we bring physical AI into the real world. https://lnkd.in/g5pYPn5f