Satya Nadella ✓
@satyanadella · joined 11 Feb 2009
Chairman and CEO at Microsoft
9 386 102Followers
316Following
2 370Posts total
109.9MViews on collected posts
Latest posts
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Great conversation with @chamath, @jason, @davidsacks, and @friedberg on all the work ahead when it comes to diffusing benefits of AI broadly, earning permission from communities, and ensuring AI safety and control.
5.9M views · 2.4K likes
· 271 reposts · 195 replies
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All-In Summit: Microsoft CEO Satya Nadella
-- The AI Doomer Slowdown
-- Common Sense AI Guardrails
-- What "Slowdown" Means for New AI Products
-- Microsoft’s Master Plan
-- Who Wins AI
(0:00) @satyanadella joins The Besties!
(0:55) Dario's blog, "pacing the frontier," ht
380.6K views · 706 likes
· 104 reposts · 25 replies
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36:32
Great example from @jeffhollan showing how Foundry makes long-running agents enterprise-ready, starting with business outcomes and building security, safety guardrails, auditability, and FinOps into the system from the start, across the entire multi-agent, multi-model workflow.
318.8K views · 1.1K likes
· 127 reposts · 132 replies
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Quincy, Washington shows what’s possible when you build datacenters with communities, and grow together over time.
328.7K views · 1.1K likes
· 102 reposts · 91 replies
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@satyanadella Your copilot can’t even create a functioning power-automate flow. No one should be concerned with the inherent risks of copilot….
7.8K views · 307 likes
· 0 reposts · 6 replies
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@satyanadella Summing up.... https://t.co/NJslNyNUst
23.9K views · 178 likes
· 25 reposts · 7 replies
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Microsoft Foundry is the best platform for running agents in the enterprise - and one reason is the observability and governance features to keep your agent within the bounds you define 🔐🔎
Long running agents can reason, act, and use tools to help transform so many parts of a ht
352.1K views · 320 likes
· 41 reposts · 26 replies
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9:17
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across
3.3M views · 15.3K likes
· 1.9K reposts · 1.3K replies
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More model choice coming to Copilot. Welcome Grok!
8.1M views · 7.6K likes
· 609 reposts · 403 replies
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Launching even more models in Copilot.
Grok models from SpaceXAI are rolling out in Copilot in Word, Excel, and PowerPoint—starting with a focused release to customers in the Microsoft Frontier program. https://t.co/tTdaypa4ru
1.9M views · 1.8K likes
· 233 reposts · 122 replies
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0:05
With the @NFL back tonight, love seeing @Seahawks analyst Brian Eayrs and coaches across the league using new Copilot and Excel tools to help with decision making in the booths and on the sidelines. https://t.co/PbHugcbLIJ
310.8K views · 1.5K likes
· 240 reposts · 68 replies
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1:59
This first-of-a-kind agreement will set a new standard for safe and responsible AI use in schools. We are making these protections available to every school district in the US.
268.2K views · 758 likes
· 118 reposts · 91 replies
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Today, I stood with the American Federation of Teachers President Randi Weingarten to announce the National AI Safety & Privacy Standard for Schools.
As outlined in our new agreement: "Children come first. Students are not products. Teachers are not beta testers. And schools h
305.2K views · 145 likes
· 22 reposts · 13 replies
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It was a great week for innovation across the model ecosystem. We're bringing these new models into Copilot, enabling it to take on increasingly complex work, from quick questions to delegated tasks and, increasingly, complete long-running jobs through Autopilots.
Here's one fun
336.6K views · 1.7K likes
· 193 reposts · 172 replies
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0:29
Super excited about HydraFusion in GitHub Copilot, and what it shows about the shift from model selection to model orchestration.
By bringing together multiple models to plan, build, critique, and complete coding tasks, it can deliver outcomes at up to 67% lower cost.
It’s a ht
319.6K views · 1.5K likes
· 215 reposts · 132 replies
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1:34
Excited to see early customers already using Astra on Azure! https://t.co/BeaR66ZL0G
1.2M views · 2.2K likes
· 177 reposts · 122 replies
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Looking forward to this ecosystem with open models continuing to flourish and grow with NVIDIA and Hugging Face, and the continued partnership. Congrats @JensenHuang and @ClementDelangue!
299.1K views · 2.2K likes
· 131 reposts · 78 replies
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@satyanadella @nvidia I like how it says "Do not stack", like you can find more than one and decide to stack them on top of each other
4.7K views · 31 likes
· 0 reposts · 2 replies
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@satyanadella @nvidia why don't you disclose your AI revenues, satya
25K views · 707 likes
· 17 reposts · 19 replies
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@satyanadella @nvidia A bit behind $NBIS, but of course that's by design :^)
1.3K views · 22 likes
· 0 reposts · 0 replies
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Delivery day at our Microsoft DCs as the first production Vera Rubins arrive. A huge thank you to our partners at @nvidia and our Azure hardware and datacenter teams for all the incredible work that brought us to this milestone! https://t.co/pBqKArGO1N
1.6M views · 8.2K likes
· 721 reposts · 395 replies
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@satyanadella Anthropic and OpenAI are so incredibly evil and disgusting they even managed to turn MICROSOFT into the good guys.
43.4K views · 932 likes
· 26 reposts · 24 replies
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@satyanadella Imagine Dario Amodei reading this 😂
12.6K views · 219 likes
· 0 reposts · 3 replies
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@satyanadella @brickroad7 What about individuals? If enterprises are protecting their IP from the model
companies, who is protecting the individual worker’s IP from the enterprises? What’s to prevent you guys from sucking the unique traces from your employees and then making them
19.8K views · 104 likes
· 6 reposts · 9 replies
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@satyanadella It seems extremely important for companies to be able to own their data and later on their models by finetuning open source models on their data. Products like Claude Tag are obviously against that, as the incentive is to deeply integrate and max out the data you ca
79.3K views · 128 likes
· 4 reposts · 6 replies
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@satyanadella “The Reverse Information Paradox”
article summary https://t.co/gL0Unb0P9K
36.1K views · 177 likes
· 24 reposts · 4 replies
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Against accounts of the same size
23 posts from the last 90 days, next to the 1M–10M follower range. shown to more people than peers of the same size.
Median views319 619this account14 648median for 1M–10M
Reach, %3.41%this account0.74%median for 1M–10M
Engagement, %0.57%this account0.70%median for 1M–10M
| Metric | This account | Median for 1M–10M | Ratio |
|---|---|---|---|
| Median views per post | 319 619 | 14 648 | 21.8× |
| Reach (views ÷ followers) | 3.41% | 0.74% | 4.60× |
| Engagement rate | 0.57% | 0.70% | 0.81× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
268.2K9 Sep
310.8K
1.9M12 Sep
8.1M
380.7K13 Sep
3.3M
352.1K
17.8K
23.9K
7.8K
328.7K
318.8K14 Sep
380.6K15 Sep
5.9M
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.36%9 Sep
0.57%
0.12%12 Sep
0.11%
0.07%13 Sep
0.59%
0.11%
1.33%
0.89%
3.99%
0.39%
0.41%14 Sep
0.22%15 Sep
0.05%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes58.8%67 600 in total
Reposts7.4%8 457 in total
Replies3.9%4 474 in total
Quotes2.6%3 006 in total
Bookmarks27.4%31 464 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
23 Sep
Daily snapshots since 23 Sep 2026; the dashed line is the starting count.
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