Best tweets about Microsoft Copilot
Explore the best tweets about Microsoft Copilot, including Microsoft 365 workflows, Copilot Studio, Windows features, adoption, and business use cases.
Microsoft Copilot products, workflows, enterprise adoption, product updates, limitations, and measurable outcomes, excluding GitHub Copilot.
Best Microsoft Copilot tweets
Ranked 01–50
@satyanadella ·
Announcing Copilot Cowork, a new way to complete tasks and get work done in M365. When you hand off a task to Cowork, it turns your request into a plan and executes it across your apps and files, grounded in your work data and operating within M365’s security and governance boundaries.
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@bearlyai ·
Tey Bannerman counted up all the products and tools that Microsoft has named “Copilot”. Found 78 of them: “there are now Copilots inside Copilots, Copilots for other Copilots, and a physical Copilot key on your keyboard for summoning them.”
@signulll ·
microsoft may be the biggest loser of the ai era so far, not necessarily financially but more in terms of relevance. they had the best distribution in software, the best dev surface area, the best enterprise channel, & the most important ai partnership. but somehow they turned all that into copilot, a brand that feels like a mandatory workplace training module than a frontier product experience. they don’t even have a relevant lab or a model that is remotely in the zietgiest either. how did that happen?
@GithubProjects ·
An open-source tool designed to remove or disable unwanted AI components like Copilot, Recall, and other AI tools from Windows.
@satyanadella ·
Great to bring GPT 5.5 Instant to M365 Copilot today. With quicker, clearer, and more accurate responses, you can get to useful answers with less back and forth. Also rolling out to Copilot Studio and Foundry. All part of our focus on providing you more model choice across work, agents, and apps.
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@RihardJarc ·
A MUST-read interview with an Accenture employee explaining the current usage patterns of $MSFT Copilot, Claude, and other AI models in enterprise usage: 1. They mostly work with large and large mid-market companies. According to him, as far as it comes to $MSFT Copilot, everybody has a license wherever they have Microsoft. 80% of his clients start with $MSFT because of the plumbing, security, and data access, as the integration is very seamless, as they already use $MSFT. But now he estimates that AROUND 50% of the clients are actively experimenting with second vendors. This is where Anthropic is coming into the picture, mostly because of reasoning, the long context window, and other things. 2. He explained that while 80% of their clients have adopted these solutions, that doesn't mean the market is saturating, as there is the question of usage. 3. In his view, we are not entering the phase where people are looking for these providers to automate the workflow. 4. The main issues of $MSFT Copilot in terms of performance vs Claude are, in his view, the hallucinations and worse reasoning. Claude's context window also matters a lot. 5. They are also seeing ChatGPT Enterprise and $GOOGL Gemini coming into discussions, especially when talking about agentic workflows. Gemini is strong where people use $GOOGL Workspace or are on GCP. When he compared the performance, he thinks $GOOGL Gemini is better than Copilot, but doesn't think it's better than Anthropic. $GOOGL with Gemini is also very aggressive with discounting. 6. According to him, $GOOGL Gemini is closing many deals with agentic AI workloads when Copilot renewals are coming, and customers are seeing the challenges they have faced. 7. In terms of switching costs between providers, the expert explains that when we were in the chatbot era, the switching costs were small, as you could switch between chatbots in a week. But now, as we enter the agentic workflow era, the switching costs are higher and last 1-2 quarters. 8. He also thinks that as more and more agents are built, the stickiness of a vendor becomes higher, and the switching costs might start to resemble more of the traditional software, where it takes a year or more to switch in some cases. He thinks stickiness will continue to grow, especially with things like multimodal usage. 9. In his view, $MSFT is working behind the scenes with many ecosystem providers to make sure that their system will be more sticky as a lot of clients would rather stick with $MSFT-provided models rather than going independently to Anthropic, OpenAI, or $GOOGL. found on @AlphaSenseInc
@itsPaulAi ·
Copilot Tasks is seriously good?! Even one of the best alternative to Claude Cowork Using a single prompt it was able to: → Use a cloud browser to find the right tool → Interact with the page to enter data → Interpret all the info given by the page → Generate a PowerPoint based on it → Draft an email containing the learnings Because it has access in real time to multiple Microsoft Office apps like Word, PowerPoint, Excel, etc. but also Outlook. Everything was seamless. First try. And you can even ask it to schedule this task (or another one) to run it every Friday, once a month, you name it. As with OpenClaw, the use cases are basically infinite.
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@WindowsLatest ·
Microsoft's Copilot is dumping native code for web crap on Windows 11 yet again. Microsoft still can’t figure out what Copilot on Windows 11 is supposed to be. It started as a sidebar, then became an Edge-powered sidebar, then a PWA, then a proper WinUI-style native app, and now it feels like it has gone full circle back to being web junk in a Windows shell again. The worst part is that Microsoft already has its own modern Windows app framework, but it keeps falling back to web-based packaging for one of the most important apps it is trying to push on users. In fact, it looks like Microsoft now makes better apps for macOS than Windows 11.
@mustafasuleyman ·
We've been working on a whole new way to get things done: Copilot Tasks. AI that talks less and does more, no complicated setup or coding skills required. Just ask for what you need and Copilot will take it from there, like: - Turn a syllabus into a complete study plan, with practice tests created and focus time blocked before each exam - Track new apartment rental listings nearby every Friday and book showings - Every evening, surface urgent emails with draft replies ready to send, and automatically unsubscribe from promotional mails I never open We’ve opened it up as a Research Preview to a small group of testers, and you can join the wait list for access here: https://t.co/l0ymF7s3VW
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@BojanRadojici10 ·
If you’ve been wondering how to make Copilot actually work for you, here’s a quick guide that breaks it down: ✅ Use Copilot in Excel to analyze trends, create pivot tables, and clean messy data instantly. 📝 Use Copilot in Word to draft reports, summarize text, and generate creative ideas in seconds. 🎤 Use Copilot in PowerPoint to turn ideas into polished slides and visuals. 💡 Plus, explore smart prompt examples that show you exactly what to ask for better results. AI isn’t just the future — it’s today’s best productivity upgrade. 👉 Learn how to use Copilot effectively and level up your workflow.
@Alex_TheAnalyst ·
Did you know you can get Claude in Excel? I didn't - but I just tried it to see if it was any good - and surprisingly I liked it more than Copilot in Excel... This is a first look and a first pass at this integration, but I'll be diving into it more and will see what it works great for and what it's not that good at. https://t.co/cl75yP8FcW
@clamanna ·
The era of Copilot execution is here. Introducing Copilot Cowork – a new way to delegate work across Microsoft 365 with checkpoints + approval built in. Check it out: https://t.co/cwl18TCAWl
@StockSavvyShay ·
$MSFT just introduced Critique which is a new multi-model deep research system inside M365 Copilot that lets users combine models to generate stronger reports & responses. Microsoft is increasingly positioning itself as the interface layer for enterprise AI by monetizing software subscriptions, Azure usage & inference demand without needing to win every frontier model race itself.
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@kimmonismus ·
Microsoft is testing OpenClaw-style AI agents to evolve Microsoft 365 Copilot into an always-on assistant that can autonomously handle tasks like managing emails, calendars, and daily workflows. They literally try everything to make copilot more appealing.
@AndrewCurran_ ·
Microsoft launched a new feature for Copilot Researcher this morning called 'Critique' that directly integrates Claude. It has two steps; Chat researches and generates the initial report, then Claude reviews and refines it.
@kimmonismus ·
Microsoft is reportedly merging consumer and enterprise Copilot into one app after cutting features customers were not using. According to The Information, Jacob Andreou told staff the overhaul will add AI coding tools, paid AutoPilot agents and add-ons like Copilot Cowork into a unified Copilot experience targeted for August. The internal line is unusually blunt: "earn and respect the right to exist in our customers’ lives." Copilot reached 20M paying users by April, up from 15M in January. But ChatGPT has more than 50M paying subscribers and far more consumer reach. Microsoft still owns the enterprise distribution. The hard part is proving Copilot is more than another $30-per-seat AI layer inside Office.
@mustafasuleyman ·
Technology and the future of our industry will be defined by two things: frontier models, and the products through which they are experienced. For some time, I’ve been thinking about how we best tackle these huge challenges, and today I’m excited to be evolving our structure at Microsoft AI, ensuring we’re positioned to succeed in both. I came to Microsoft with an overriding mission: to create Superintelligence that delivers a transformative, positive impact for millions of people. This requires us to build frontier models, at scale, pushing the boundaries of what’s possible. Everything else follows from this. It's the foundation for our future as a company. With our ambitious, long-term frontier scale compute roadmap locked, we now have everything we need to build truly SOTA models. The next phase of this plan is to restructure our organization to enable me to focus all my energy on our Superintelligence efforts and be able to deliver world class models for Microsoft over the next 5 years. These models will enable us to build enterprise tuned lineages that help improve all our products across the company. They’ll also enable us to deliver the COGS efficiencies necessary to be able to serve AI workloads at the immense scale required in the coming years. Achieving all this will be a huge challenge, and I’m committing everything we have – and I have personally – to make it happen. To that end, I’ve been working hard with other leaders in the background for a while now to define a strategy to unify Copilot by bringing together the Consumer and Commercial efforts as one. We all know this makes sense. Every user – whether at home or at work – will be able to enjoy the full benefit of what we are all building. Today, we’re combining these organizations into a single, unified Copilot org. @JacobAndreou has demonstrated himself to be an outstanding leader for the product experience and clearly has the product instincts, the operational range, and the conviction to make Copilot a great success. Jacob will retain a dotted line to me, and I’ll stay directly involved in much of the day-to-day operation of MAI and supporting Jacob to drive all areas of product strategy. To ensure that the models we build and the products we ship are mutually reinforcing, we are establishing a Copilot Leadership Team that includes me, Jacob, Charles Lamanna, Perry Clarke, and Ryan Roslansky. This will enable us to focus our brand strategy, our product roadmap, our models and our core infrastructure as one to deliver the best experiences possible for all our users. Thank you to the team for everything you’ve done over the last few years. I know how hard everyone has been pushing to help the company adapt to this new era. We really do have an incredible opportunity to redefine Microsoft for this agentic revolution. Let’s keep driving hard in this next chapter! https://t.co/k2uLCUjGNH
@rohanpaul_ai ·
Bloomberg: Microsoft is replacing OpenAI and Anthropic models inside Excel and Outlook to cut Copilot costs. Excel and Outlook used to lean more heavily on outside models. Now Microsoft wants fewer expensive calls to labs that control pricing for frontier model access. OpenAI https://t.co/XVoaoFVIcV
@LeakerApple ·
I remember when Bing first got ChatGPT integration with web-search support. It was a game changer in the space and legitimately made me switch to Bing. It's a shame to see Microsoft give up what was a huge lead in AI. Now Copilot is just a GPT wrapper with no utility. Slop.
@StockMKTNewz ·
Microsoft's $MSFT Commercial Business leader Judson Althoff told employees Company leadership set and essentially hit “some pretty big audacious goals” for selling Copilot in the quarter that ended in March - Bloomberg
@milan_milanovic ·
𝗪𝗵𝗮𝘁 𝗗𝗼 𝗣𝗲𝗼𝗽𝗹𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗨𝘀𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗮𝘁 𝗪𝗼𝗿𝗸? We assume people use AI mostly for emails and summarizing meetings. Microsoft classified over 100,000 Copilot chats for its 2026 Work Trend Index and found something different: people use AI to think. Here is what the data shows: 𝟭. 𝗛𝗮𝗹𝗳 𝗼𝗳 𝗮𝗹𝗹 𝘂𝘀𝗮𝗴𝗲 𝗶𝘀 𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸 𝟰𝟵% of Copilot use supports analyzing, reasoning, and deciding. Making decisions and solving problems alone accounts for 28%. The rest splits into interacting with others at 19%, producing outputs at 17%, and finding information at 15%. People reach for AI for judgement. These numbers measure shares of classified user goals, not time spent. 𝟮. 𝗧𝗵𝗲 𝘀𝗸𝗶𝗹𝗹 𝗽𝗿𝗲𝗺𝗶𝘂𝗺 𝗶𝘀 𝘀𝗵𝗶𝗳𝘁𝗶𝗻𝗴 Asked which human skills matter more as AI takes on work, users put quality control of AI output first at 𝟱𝟬% and critical thinking second at 𝟰𝟲%. And 86% say they treat AI output as a starting point, not a final answer. The job moves from generating answers to evaluating and owning them. 𝟯. 𝗧𝗵𝗲 𝗰𝗲𝗶𝗹𝗶𝗻𝗴 𝗶𝘀 𝗿𝗶𝘀𝗶𝗻𝗴 𝟱𝟴% of surveyed AI users say they now produce work they couldn't do a year ago. Among the most advanced users, the ones who build multi-agent workflows and redesign processes around AI, that number hits 80%. This group also deliberately works without AI on some tasks to keep their skills sharp, 43% vs 30% for everyone else. 𝟰. 𝗧𝗵𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 Microsoft tested 29 factors with AI impact. Organizational factors like culture, manager support, and talent practices have 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟮𝘅 the impact of individual mindset and behavior, 67% vs 32%. Yet only 26% of users say their leadership is aligned on AI, and just 13% say they're rewarded for redesigning work with AI even when the results don't land. The capability sits with individuals, but the constraint sits with the organization. 𝟱. 𝗔𝗜 𝗶𝗻𝗵𝗲𝗿𝗶𝘁𝘀 𝘁𝗵𝗲 𝗶𝗻𝗳𝗶𝗻𝗶𝘁𝗲 𝘄𝗼𝗿𝗸𝗱𝗮𝘆 Microsoft's earlier report shows what AI gets dropped into: 117 emails a day, 153 Teams messages, and a reported interruption every 2 minutes during core hours. Without redesigning how work flows, AI speeds up the chaos instead of fixing it. The pattern across both reports is the same: the technology and the people are ahead, and the organization is the constraint.
@CodeByPoonam ·
JUST IN: Microsoft is exploring DeepSeek as a cheaper alternative to OpenAI and Anthropic for Copilot Cowork. the AI model wars just got political. the AI model wars just got political. here’s what’s actually happening: Microsoft is moving Copilot Cowork to usage-based pricing. the reason is brutally honest: “We have users who do hundreds of tasks a week, which is great — they’re way productive — but the consequence is the costs can go very high.” translation: unlimited AI is officially dead. the economics don’t work. so Microsoft is looking for a cheaper model. and DeepSeek V4 is the option they’re exploring.
@GHchangelog ·
The Copilot SDK is now in public preview, enabling you to embed Copilot’s AI capabilities into your apps, workflows, and platform services. • Supports Node.js, Python, Go,.NET, and Java https://t.co/m7Mv1PI3TR
@WindowsLatest ·
Microsoft confirms you can now sync your passwords to the Copilot app for Windows 11 if you want to. This is an optional feature, and it's rolling out as part of a mini-browser in the Copilot app for Windows 11. When you click to open a link, Copilot opens the content in a side pane next to your conversation instead of a separate browser window, so you don’t lose context. "Additionally, if you choose to enable it, you can sync passwords and form data so it’s easier to work within Copilot" - Microsoft. This change is rolling out to Windows Insiders, and it's completely optional.
@WesRoth ·
Microsoft has announced a massive restructuring of its AI leadership, officially splitting its focus between commercial product development and foundational model research. Mustafa Suleyman (CEO of Microsoft AI and DeepMind co-founder) is stepping away from the day-to-day product management of Copilot. Instead, he will focus exclusively on leading Microsoft's "superintelligence" mission to build state-of-the-art, frontier AI models in-house. Former Snap executive Jacob Andreou has been promoted to Executive Vice President of Copilot to lead this consolidated effort, reporting directly to CEO Satya Nadella.
@lemire ·
Microsoft, along with Apple, was one of the companies most likely to benefit from the AI breakthrough. They have trust and brand recognition. Apple has done little outside of providing great hardware. Microsoft chose another path. It did what I would have done as CEO: it bet the farm on AI. Why not? It has enormous trust capital. Enterprises worldwide trust Microsoft blindly with their data. Microsoft is the ideal enterprise AI vendor. And yet… Microsoft has put “Copilot” (its word for “AI”) everywhere. I see it in Microsoft Word when I am unlucky enough to use it. I tried clicking the Copilot button once. I am not sure who it is for. Copilot is in Microsoft Teams, which I am compelled to use regularly. I am also not sure who it is for. What I find fascinating is that “decision makers” do not seem to view Microsoft as a potential AI vendor, despite everything it is doing. Part of the story is branding. Many people love Microsoft Word and cannot imagine living without it. But are these same people eager to see their workflow transformed by AI? It seems not. Microsoft is enterprise-oriented. It is safe, secure, and boring. That is how we like it. These AI Copilot buttons feel out of place and out of brand. If you pick a random business client from Microsoft’s stack, you will find that their “AI strategy” consists mostly of “wait and see.” Their employees do use AI, but most probably via their own OpenAI accounts. Let us be serious: if not for video games, Microsoft Windows would be the “old people system.” On campus, you see kids with Windows laptops, but they are really gaming machines. Microsoft itself is trapped in the very profitable enterprise segment. These customers are still in the shocked-and-awed phase of the AI breakthrough.
@mjovanovictech ·
Cloud migration usually doesn’t fail in execution. It fails much earlier. In my experience, the hard part is figuring out what should move first, what should stay as-is, and what actually deserves real modernization. That is where teams lose time. They get buried in: - Discovery work - Old dependencies - Unclear ROI - Too many architecture options - Long planning cycles before anything ships But there's a better way. Hear me out. I’ve been looking at Azure Copilot Migration Agent, and the part that stands out to me is not just the AI angle. It’s the workflow. Instead of treating migration like a giant manual exercise, Azure Copilot Migration Agent helps teams move through the early planning steps in a more structured way: - Discover VMware environments, even in more locked-down setups - Build inventory for servers, databases, and apps - Catch legacy OS constraints early - Compare lift-and-shift vs modernization paths - Generate ROI and business case views - Create a landing zone template that architects can refine with GitHub Copilot That matters because modernization decisions should not be one-size-fits-all. Some apps are better rehosted. Some should be replatformed. Some are worth refactoring. And not every workload needs to become microservices on day one. The real job is to prioritize the right workloads, choose the right target architecture, and then pick the right modernization pattern. That’s also why I like the framing in the App Modernization Playbook. It focuses on practical decisions like: - How to assess your app portfolio - How to prioritize based on value and complexity - How to match the app to the right architecture - How to choose between rehost, replatform, and refactor without overengineering If you work on cloud architecture, platform engineering, or app modernization, this is worth a look. You can download the App Modernization Playbook here: I’m curious how others see this: https://t.co/qKsX6NqLq0 What is usually harder in real migration work for your team: the technology or the planning? Huge thanks to @Azure for collaborating with me on this post.
@shushant_l ·
🚨 BREAKING: Microsoft just launched an AI coworker that actually does the work for you. It is Copilot Cowork. You can now delegate tasks to AI. Here's how: → Write the prompt. → Copilot builds the plan. → Then executes it across Outlook, Teams, Excel, and your files. Some examples of what it can do: 1. Fix your calendar: • Detect conflicts • Reschedule meetings • Add focus blocks 2. Prepare meetings: • Pull info from emails and files • Generate briefing docs • Build presentation decks 3. Run company research: • Analyze earnings reports • Compile industry news • Create research memos and Excel analysis 4. Build launch plans: • Competitive comparisons • Value proposition docs • Customer pitch decks It runs inside Microsoft 365 with enterprise security and integrates Anthropic’s Claude technology for a multi model system. Currently in research preview, expanding in March 2026. Copilot Cowork can do your boring manual work for you. Whereas you can focus only on doing the high ROI work. This is changing the future of work.
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@BradSmi ·
I had the chance to learn alongside @Microsoft Student Ambassadors in Singapore today. Conversations like these are a powerful reminder that the most important insights about AI don’t just come to students, they come from them. Together with the Minister for Education, Dr. Janil Puthucheary, we announced free Microsoft 365 Copilot for more than 200,000 students across Singapore’s universities and colleges. This is the generation that will put AI to work — and help define how it’s used.
@stripe ·
We’re working with @Microsoft to power shopping in @Copilot. Users in the US can now buy from @Etsy, @UrbanOutfitters, and @Anthropologie without leaving the chat.
Watch video@BradSmi ·
When doctors in Manchester used Microsoft’s Dragon Copilot to do their paperwork, they didn’t just save time, they spent that time with patients to provide better care. https://t.co/Xp14eVC3vw
Watch video@clamanna ·
Coca-Cola Beverages Africa runs 40% of the continent’s volume and they’re rethinking how planning works. With Dynamics 365 & Copilot Studio, agents now run continuous, on‑demand planning. This is where AI is headed - less manual work and more scale. Check it out: https://t.co/vk500as3gc
@pvergadia ·
🟢 LATEST: At @Microsoft we proved that most AI health tools are built for the wrong person. 1 in 7 health questions people ask AI aren't about themselves. That one number should reshape how we build health AI entirely. We just published a study in Nature Health analyzing over 600,000 real health conversations with Microsoft Copilot. Here's what the data actually showed: 1/ Nearly 1 in 5 conversations involved personal symptom assessment or condition discussion. People are turning to AI before they turn to their doctor. 2/ 1 in 7 symptom questions are asked about someone else a child, an aging parent, a spouse. These are caregivers. And they have completely different needs. 3/ The most common general information queries cluster around specific treatments and medications not vague "what is diabetes" questions. People come in informed and want depth. 4/ Usage patterns shift dramatically by device and time of day. This isn't random. It tells us something about context and intent. The insight that hit me hardest: we can't design "personalized" health AI and define the user as only the person typing. A parent asking about an infant's rash at 2am needs different information, different tone, and different follow-up than someone asking about their own symptoms. Caregiver context is missing from most health AI products today. We need to fix that!
@milan_milanovic ·
Every cloud migration I've watched close up has the same shape. The move takes weeks, but the planning takes months. Discovery needs network access, but no one wants to open it. Business case modeling lives in someone's spreadsheet. Lift-and-shift vs modernization becomes a standing meeting. Landing zones wait on the architect's time. By the time a workload is ready to move, the sponsor has moved on. Microsoft has been pulling that pre-move cycle into Azure Copilot. The Migration Agent is one of six new Copilot agents. Here's what it actually does. Agentless VMware discovery through the Azure Migrate Collector. Runs locally, no internet access to vCenter required, so an isolated network stays isolated. It flags legacy OS versions and other blockers early, before they kill the plan in month two. From the same inventory, it generates a multi-year business case with ROI and cost savings. You can hand this document to finance. If you want to compare strategies, it runs lift-and-shift against modernization side by side. When you're ready to execute, landing zone templates get passed to GitHub Copilot in your IDE. Your architects finish there instead of starting from scratch. The business case generation is the piece that stands out to me. Building one by hand is where most migration projects lose momentum, and removing that step changes the whole timeline. If you're a cloud architect, infra lead, or FinOps stakeholder, the free Introduction to Azure Copilot Agents module on MS Learn is a solid starting point. It runs through all six agents and where they fit. → https://t.co/lc8McLkAZz __ I want to thank @Microsoft for cooperating with me on this post
@trikcode ·
Microsoft just confirmed Copilot Cowork no longer offers unlimited monthly access. Now you pay per use. GitHub Copilot is getting the same treatment. Instead of unlimited access, developers now get a monthly credit allotment. Heavy users are about to see bigger bills. Microsoft says agentic AI tasks use too much compute for flat pricing to make sense. We went from buying software once, to paying monthly, to now paying every time the AI actually does something.
@RoundtableSpace ·
THE NEW COPILOT APP FOR WINDOWS IS BASICALLY JUST MICROSOFT EDGE IN DISGUISE. Rename the files and folders, and it still opens straight into Edge.
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@Jack_Raines ·
I remember seeing a tweet a week or two ago saying that there's a lot of confusion in Microsoft copilot because folks think there's a shared memory across all 78 instances of "copilot", but the context is actually siloed. Similar problem with Google: the "gemini" logo on gmail, then drive, then sheets, then Chrome, sometimes can pull data from the other tools but not always, and when you don't know what's connected it's easier to just not use it. Claude connected to my Google tools is more accurate than Gemini itself; feels like a total self own by Google.
@Alex_TheAnalyst ·
@Microsoft Copilot Cowork is rolling out to 100+ million people (if they pay 99$ per month per seat). It's basically Claude Cowork inside integrated inside the Microsoft Ecosystem to bring AI Agents to the everyday user. I see this going in a few ways: (10%) It goes incredibly well. Lots of people love it and use it all the time, there are no issues. 99$ feels cheap and there's mass adoption. (10%) Power users love it, but doesn't catch the average user. Still not many issues. (20%) Big launch and lots of people sign up, but causes big churn. Growth stalls and investment isn't returned. (25%) Some big mistakes happen and go viral "Copilot Cowork deleted my last 6 months of work" and causes lots of mistrust (35%) Most companies don't ever adopt due to privacy concerns, regulations, and cost
@A1an_M ·
One of the things you can do with Copilot at work is have it help you write an email. You could ask it to write an email to business stakeholders in a formal tone informing them of a change that your team plans to make to some software they use, for example. If you grew up before AI, have written lots of such emails before, and Copilot does a good job, this is just a minor productivity gain. If you're a recent graduate, and never wrote such an email before, you've just lost an opportunity to learn a new skill. You won't learn what's needed to manage human stakeholders properly. You also won't know if Copilot did a good job until the recipient reads the email. If it did a bad job, you've now got a new, human relationship, problem to deal with. Of course the recipient might get Copilot to read the email and respond, without reading it and fully understanding it themselves. So now you have two instances of Copilot talking to each other and there's a real danger the whole interaction starts diverging from reality and the significance of the upcoming IT change to the humans involved gets lost. There's every possibility that AI, if used badly, will not only make the next generation less skilful - becoming merely operators of technology rather than masters of it - but create a whole new set of problems, as badly monitored AI does the wrong things, wrongly. What a mess.
@JJEnglert ·
Currently going DEEP into the @Microsoft stack (specifically Copilot Studio) for client trainings. Some thoughts.... They're catching up. So much what what has worked for other companies, (Cowork) (Agents) (Automations) they have their own version of. And with control of most of the enterprise users, and their data, it's a really easy sell to enterprises. Their software even just from 2 months ago to where they are today, has jumped significantly. Every day you see a new thing, new feature popup. Almost in a bad way cause it's changing so fast. But these changes, currently feel like they've found their rythem. It's still over complicated at times. Still too many options to pick from, which overwhelms many users. But it generally has everything an enterprise needs to bring their workers into the "doing more with AI" age, and then some. And then the model agnostic approaching, offering a control plane on top of it (even in a small way) feels like the right move at the moment. Who are the best Microsoft builders that you know? Would love to build up more of this network.
@glenngabe ·
Offer Highlights in Copilot -> Microsoft Merchant Center Now Supports 'Highlights for Copilot' From Microsoft Ads: "We’re introducing Offer Highlights, new ad experiences that enable brands to promote key product differentiators within the context of Copilot conversations. More than showing traditional ads below an AI response, these formats are purpose-built to deliver business information that supports relevance, trust, and better decisions for users." "For example, Copilot can highlight specific dimensions of an offer (or product) that matter most at a decision moment like free shipping or in-store pickup. Over time, brands will be able to highlight a broader set of benefits, adapting ads to the context of each conversation and query." https://t.co/pRTgp7us7J
@glenngabe ·
Running Microsoft Ads? Microsoft Advertising MCP -> Improve your brand presence in LLM and agent ecosystems, and connect advertising campaigns to your AI workflows with Microsoft Advertising MCP "The Microsoft Advertising MCP server is expanding to open pilot with read-only access. It'll let businesses and agencies build custom AI workflows grounded in live campaign data inside M365 Copilot, Claude, ChatGPT, and more." https://t.co/9nLcfNNKIq
@theinformation ·
Microsoft is merging the consumer and enterprise versions of its Copilot AI chatbots into a single application as it tries to create a more formidable competitor to Claude and ChatGPT. More details: https://t.co/jY0xYhTYRF
@BaselIsmail ·
Microsoft is building something called Copilot Advisors where you pick two AI personas from a roster of domain experts, assign them affirmative and negative positions, and they debate whatever topic you throw at them.
@theinformation ·
What are Microsoft’s biggest concerns right now? According to an investor our reporter @AnitaRamaswamy spoke with, they are facing a “double-whammy” with a major factor being Copilot & the SaaSpocalyse. “There is this perception that Copilot has not kept up technologically to some of the faster growing alternatives like Claude Cowork.”
Watch video@bearlyai ·
Microsoft 365 (Word, Excel, Powerpoint, Outlook) has over 450 million paid seats. While only 7% seats also pay for Copilot (30 million), that figure has 2x in past 6 months and part of reason MSFT +9% after earnings.
@shawnchauhan1 ·
Microsoft has $13 billion invested in OpenAI. It also just built Copilot Cowork directly on Anthropic's Claude. That is not a partnership announcement. That is a signal about which technology Microsoft actually trusted for the job. When the company with the most to prove about its own AI bets on someone else's model, pay attention. Hedging and conviction look identical from the outside. The product decisions reveal which is which.
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@tomfgoodwin ·
I do find the Microsoft CoPilot ad for Hank's pizza place a wonderful allegory for this time. Hank's sales are poor. AI tells him to sell slices for $1 and somehow the AI will "make it work" The AI shows he'll lose money on every slice, but can make it up by limiting sales to 2 slices, and selling 55% of people a drink Quite how this needs AI, is weird to me. We then cut to a LOOOONG line of people buying pizza and no drinks. I think it's a really smart idea for an ad, but I'm not really seeing the smartness. People who run pizza places are deviously smart at knowing COGS/ Profit margins, price elasticity, how to upsell. It would be better for the AI to do it's taxes. And maybe the AI should be AI https://t.co/po88bJh3Z7
@LukeBruni17 ·
🚨 $MSFT Q4 Earnings Breakdown 🚨 Microsoft just dropped its fiscal Q4 2026 results, delivering a massive top and bottom-line beat driven by staggering cloud and AI growth. The stock popped in extended trading. Here is what you need to know: 📊 The Numbers (Massive Beat): 🔷 Revenue: $90.0 Billion (+18% YoY) vs. $87.7B expected. 🔷 Adjusted EPS: $4.74 vs. $4.24 expected (GAAP EPS hit $4.81). 🔷 Operating Income: $40.6 Billion (+18% YoY). 🔷 Cloud Revenue: Overall Microsoft Cloud revenue reached $59.3 Billion (+27% YoY). 🔮 The Outlook & CapEx Watch: 🔶 The CapEx Justification: Wall Street was laser-focused on infrastructure costs, with calendar year 2026 capex expected to approach $190 Billion. Microsoft proved that its massive spending is being directly justified by accelerating cloud revenues. 🔶 Investment Gains: The bottom line got a notable $3.2 billion boost from their investment in AI startup Anthropic, alongside operational efficiencies. 🔶 Future Buildout: Management signaled continued aggressive investment in data center buildouts globally to support unabated AI workload demand heading into FY27. 🧠 The AI & Azure Narrative: 🟣 Azure's Historic Milestone: Azure revenue officially surpassed $100 Billion annually for the first time, growing a massive 43% year-over-year for the quarter. 🟣 Copilot Adoption: Microsoft 365 Copilot reached over 30 million paid enterprise seats. This proves that businesses are actually paying up for AI productivity tools at scale, not just running experimental pilots. 🟣 Tokens to Results: CEO Satya Nadella emphasized that Microsoft is successfully advancing the cost-to-outcome curve, allowing enterprise customers to "turn tokens into business results". 📈 The Market Reaction: 🟢 Stock Pop: Shares jumped over 4.5% following the report. 🟢 The AI King: While other tech giants have recently been punished for high AI spending with murky near-term ROI, Microsoft's 43% Azure growth proved that their AI monetization engine is already firing on all cylinders. Is Microsoft the undisputed king of the AI revolution, or will the $200B+ CapEx bills eventually catch up with them? 👇
@Techmeme ·
Microsoft rolls out Copilot Cowork to its Frontier program for early-stage testing, including a new Researcher Critique tool using Anthropic and OpenAI models (@jared_spataro / Microsoft 365 Blog) https://t.co/Yz2MPbGaiR https://t.co/OGFwDN4YOD
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