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Introduction
For years, Microsoft positioned itself as the undisputed leader of the AI revolution. From integrating Copilot into Windows 11 and Microsoft 365 to pouring billions into OpenAI partnerships and cloud infrastructure, the company appeared unstoppable. Every keynote presentation painted a future where AI assistants would become central to work, creativity, and productivity.
But beneath the glossy demos and aggressive marketing campaigns, a very different story has started to emerge.
A growing number of insiders now believe Microsoft’s AI strategy is failing to resonate with actual users. One of the loudest voices comes from former Microsoft executive Mat Velloso, a veteran technologist who later worked at Google DeepMind and Meta’s Superintelligence Labs. His criticism has shaken the tech industry because it comes from someone who witnessed the AI race from inside all three major powerhouses.
According to Velloso, Microsoft may have invested enormous resources into AI, but the company fundamentally failed to build products that people genuinely want to use. The result is what he describes as a company-wide “factory reset,” where Microsoft is suddenly being forced to listen to customers after years of ignoring them.
The implications are massive. This is not simply about an unpopular chatbot. It is about whether one of the world’s most powerful software companies misread the future of AI adoption while competitors moved faster, smarter, and closer to user needs.
Microsoft’s AI Vision Is Facing Reality
Microsoft’s AI rollout was designed to dominate every corner of computing. Copilot appeared in Windows 11, Office applications, GitHub, and enterprise cloud services. The company aggressively promoted AI PCs powered by NPUs, marketed AI as the next evolution of productivity, and invested staggering amounts into infrastructure.
However, the adoption numbers tell a concerning story.
Despite Microsoft pushing Copilot directly into Windows and Office products, less than 3% of paying users actively use the AI assistant according to Velloso’s claims. Even more alarming is the conversion rate inside Microsoft 365. Out of approximately 450 million users, only around 15 million reportedly adopted paid Copilot subscriptions.
That translates to roughly 3.3% adoption.
For a company spending tens of billions on AI infrastructure and branding, such numbers raise uncomfortable questions. Microsoft expected AI to become the centerpiece of modern computing, yet most users appear indifferent or resistant.
This disconnect may explain why Microsoft suddenly changed behavior across multiple product divisions. Over the past months, Windows and Xbox teams unexpectedly started implementing long-requested features and paying closer attention to community feedback. Long-ignored improvements, such as a movable taskbar and Start menu customization, suddenly became priorities.
To many observers, this shift feels less like innovation and more like damage control.
The NPU Problem Nobody Wants to Admit
One of the biggest AI pushes in the PC industry involved Neural Processing Units, or NPUs. Microsoft encouraged hardware manufacturers to build AI-ready laptops capable of handling advanced Windows features locally.
OEMs and chipset vendors invested heavily.
But according to Velloso, consumers simply do not care because Microsoft failed to create compelling real-world use cases. AI hardware became a solution searching for a problem.
This criticism hits hard because Microsoft spent years convincing the market that AI PCs represented the future of personal computing. Yet average users still prioritize battery life, performance, compatibility, gaming, and software stability over experimental AI features.
Without meaningful everyday benefits, NPUs risk becoming another marketing buzzword rather than a transformative technology.
The problem is even worse when users perceive AI features as intrusive. Many Windows users complained about forced Copilot integrations, bloated interfaces, and web-wrapper experiences that slowed down workflows instead of improving them.
Ironically, Microsoft’s attempt to modernize Windows through AI may have reminded users how much they value speed, simplicity, and reliability.
GitHub and Enterprise Reliability Concerns
Another surprising criticism involved GitHub, which Microsoft positioned as a centerpiece of the AI coding revolution.
AI-assisted development tools were expected to become one of Microsoft’s strongest advantages, especially with GitHub Copilot leading the market in AI programming assistants.
Yet Velloso pointed toward declining reliability metrics and service concerns. He claimed GitHub’s SLA reliability dropped below 90%, which is dangerous territory for enterprise customers that depend on stability and uptime.
At the same time, AI infrastructure costs continue to rise dramatically.
Large language models require immense computational power, and maintaining AI services at scale is extraordinarily expensive. Investors initially tolerated massive spending because they believed AI adoption would rapidly generate new revenue streams.
But when adoption numbers remain weak while operational costs explode, shareholder patience begins to fade.
This pressure likely explains why Microsoft leadership appears increasingly defensive and reactive.
The Leadership Shake-Up Inside Microsoft
The tension surrounding Microsoft’s AI direction appears to be affecting the company internally.
Recent months have seen high-profile resignations, retirements, and leadership reshuffling across multiple divisions, including Xbox, GitHub, AI infrastructure, Teams, and OneNote.
One of the most notable departures involved Julia Liuson, a highly respected leader of Microsoft’s Developer Division. While officially presented as a normal retirement, critics interpreted the timing as part of a much larger internal reset.
Velloso openly mocked the situation by saying Microsoft went from “hit refresh” to “hit factory reset.”
That statement triggered backlash from Microsoft communications leadership, who accused him of framing normal corporate transitions negatively. But Velloso doubled down, arguing that the market itself reflects growing concerns about Microsoft’s trajectory.
He pointed to the stark contrast between Microsoft and Google stock performance following his departure from Microsoft in early 2024. According to his remarks, Google surged while Microsoft stagnated.
For Velloso, the issue is not isolated mistakes. He argues Microsoft repeatedly missed major technological shifts, including the internet era, the mobile revolution, and now potentially the AI wave itself.
OpenAI Is Becoming Microsoft’s Biggest Threat
One of the most fascinating aspects of this situation is how Microsoft’s closest ally may also become its most dangerous competitor.
Microsoft invested billions into OpenAI and integrated its models across products. Initially, the partnership appeared mutually beneficial. Microsoft gained cutting-edge AI technology while OpenAI gained infrastructure and funding.
But OpenAI is no longer content being just a model provider.
The launch of OpenAI’s “DeployCo” initiative signals a major strategic evolution. By building dedicated enterprise deployment teams, OpenAI is moving directly into the lucrative consulting and implementation layer traditionally dominated by Microsoft.
This changes everything.
Historically, Microsoft’s greatest strength was not just software. It was enterprise integration. The company succeeded because it embedded itself deeply inside corporations through consulting, deployment expertise, and long-term infrastructure relationships.
Now OpenAI wants direct access to those same enterprise customers.
If AI companies stop relying on Microsoft as the middleman, Microsoft risks losing control over the most profitable part of the AI ecosystem.
This is especially dangerous because enterprise AI adoption will likely generate far more revenue than consumer chatbot subscriptions.
Why Microsoft Still Isn’t Going Anywhere
Despite all the criticism, Velloso made one thing very clear: Microsoft is far from dead.
In fact, he strongly rejected sensational claims that AI is “killing” Microsoft.
The reality is more complicated.
Microsoft possesses one of the strongest enterprise ecosystems ever built. Millions of businesses rely on Windows, Azure, Office, Active Directory, Teams, and countless interconnected services.
Replacing that infrastructure is extraordinarily difficult.
Even if startups create impressive AI agents, integrating them securely into massive corporate environments requires distribution, compliance, compatibility, and operational experience that few companies possess.
This is Microsoft’s true moat.
AI labs may build flashy prototypes, but enterprise deployment remains messy, expensive, and deeply dependent on existing infrastructure. That is why many AI companies are now hiring consulting teams themselves.
The “last mile” of enterprise transformation is incredibly hard.
Microsoft understands that world better than almost anyone.
The Unexpected Benefit for Windows Users
Ironically, Microsoft’s AI struggles may end up benefiting ordinary users.
Faced with weak adoption rates and mounting criticism, Microsoft appears to be returning focus toward core platform quality. The company is finally improving Windows fundamentals instead of endlessly chasing experimental integrations.
Recent efforts include:
Better native UI performance
Reduced dependence on sluggish web wrappers
Improved driver quality standards
More responsiveness to user feedback
Long-requested customization features
This shift suggests Microsoft realized something critical: AI cannot compensate for a poor user experience.
No matter how advanced AI becomes, users still care about stability, responsiveness, efficiency, and control.
If Microsoft’s “factory reset” leads to a renewed emphasis on platform quality, the company could emerge stronger in the long term.
What Undercode Say:
Microsoft’s current situation perfectly illustrates one of the biggest misconceptions in the AI industry: massive investment does not automatically create user demand.
For the past three years, nearly every major tech company operated under the assumption that AI integration itself was enough to justify product changes. Microsoft became one of the most aggressive examples of this philosophy. Copilot was inserted everywhere, often regardless of whether users actually requested it.
The result was predictable resistance.
Most users do not want AI because executives say it is the future. They want tools that solve real problems faster and better than existing solutions. In many cases, Copilot felt less like an assistant and more like an imposed corporate strategy.
This explains why adoption numbers remain surprisingly low despite Microsoft’s enormous ecosystem advantage.
Another critical issue is timing. Microsoft pushed AI deeply into Windows before the technology matured enough to feel seamless. Early AI experiences still suffer from hallucinations, inconsistency, latency, privacy concerns, and unclear practical value for average consumers.
Enterprise customers are also more cautious than AI evangelists expected. Large corporations cannot simply rebuild workflows around experimental systems overnight. Reliability, security, compliance, and operational predictability matter more than flashy demos.
The OpenAI factor creates another dangerous layer. Microsoft believed owning the infrastructure side of AI would guarantee long-term dominance. But OpenAI now appears determined to own customer relationships directly. That creates strategic tension that may grow dramatically over the next few years.
At the same time, Microsoft’s greatest strength remains intact: distribution.
No AI startup currently possesses Microsoft’s decades-long enterprise entrenchment. Even dissatisfied customers often cannot realistically abandon Microsoft because entire corporate ecosystems depend on its products.
This creates a paradoxical reality where Microsoft can simultaneously appear vulnerable and nearly impossible to replace.
The bigger lesson for the industry is that AI adoption will likely happen slower than investors expected. Consumers and enterprises are still figuring out where AI genuinely improves productivity versus where it simply adds complexity.
Companies that survive this transition will be those capable of balancing innovation with practicality.
Microsoft may have stumbled badly in execution, but history shows the company is remarkably resilient. It survived browser wars, mobile failures, antitrust battles, and cloud competition. The company’s institutional muscle is enormous.
However, the criticism from insiders like Velloso matters because it exposes something deeper than temporary product issues. It reveals cultural tension inside Microsoft itself. There appears to be a growing realization that forcing AI into every experience without clear value was a strategic mistake.
The sudden return to listening to users is not accidental. It is a reaction to market pressure.
Windows users frustrated for years by ignored feedback are finally seeing changes because Microsoft’s AI strategy forced leadership to confront reality.
That may ultimately become the most important outcome of this entire situation.
AI hype pushed Microsoft too far away from platform fundamentals. Now the company is being dragged back toward the basics that made it successful in the first place.
And for millions of users, that reset might be exactly what Windows needed.
Fact Checker Results
✅ Microsoft has heavily integrated Copilot across Windows 11, Microsoft 365, and GitHub as part of its AI expansion strategy.
✅ OpenAI is increasingly building enterprise-focused deployment services, creating potential competitive overlap with Microsoft’s traditional consulting strengths.
❌ The exact Copilot adoption figures and internal performance claims mentioned by Mat Velloso remain unofficial public commentary rather than independently verified Microsoft disclosures.
Prediction
🔮 Microsoft will continue scaling back aggressive AI-first UI experiments and prioritize performance, stability, and native Windows experiences over forced integrations.
🔮 OpenAI’s enterprise ambitions will create growing tension between the two companies, especially in consulting and deployment services.
🔮 The next phase of the AI race will focus less on hype and more on practical business value, reliability, and seamless integration into existing workflows.
🕵️📝Let’s dive deep and fact‑check.
References:
Reported By: www.windowslatest.com
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