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@razeyonx
Copilot with 14% market share is more unbelievable than AGI by 2027
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Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
79% Engaged
65% Positive
Positive
65%
Negative
14%
Neutral
21%
Critical Perspectives
Community concerns and opposing viewpoints
1
Root problems
training, structure, ignorance. Commenters point at poor data hygiene and a lack of structured workflows — shared folders and loose processes — as the real blockers to Business AI adoption, not the AI itself. Firms that already use structured platforms like SharePoint or SaaS tools are seen as much better positioned to roll out AI.
2
Look inward before blaming Microsoft
Several replies argue companies should fix their own systems and expectations instead of faulting Microsoft for limited AI impact or rollout problems.
3
Split between skeptics and advocates
Some users praise Copilot for Office and GitHub, saying it’s genuinely useful; others doubt Microsoft’s adoption numbers (claiming preloads inflate stats) and suspect active usage is far lower.
4
Pricing versus perceived value
A recurring gripe is that Copilot’s ~$30/month per user feels expensive compared with enterprise suites (E5), and commenters debate whether bundling or modest price adjustments would make adoption easier.
5
UX and delivery wins
The consumer-facing Copilot UI and a native PC app get positive notes — users prefer an app over web access and call Copilot a strong admin/developer tool in some contexts.
6
Confusion about what Copilot actually is
Replies include claims that Copilot “is not even a model,” questions about whether it uses ChatGPT, and skepticism over comparing it to AGI — indicating mixed technical understanding.
7
Tone ranges from pragmatic to blunt
Reactions include patience-themed takes, enthusiastic endorsements (“I personally love Copilot”), terse usage claims (“Bro, I'm using it”), and occasional profanity, reflecting a polarized and candid conversation.
A
@AphanFX
g issue. Its a structural issue. Its an ignorance issue. I often find people stuck in the mindset of generalized AI, as if it was just a chatbot. I also find most small to medium businesses use a very loose or nonexistent structured data. They are so use to share structures a
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@MiinusPlussa
Copilot is not even model. Why compare it to them?
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Supporting Voices
Community members who agree with this perspective
1
Frustration and disappointment dominate the thread
users repeatedly describe Copilot as useless, “sucks,” or “worthless,” with many saying they tried it once or twice and went back to ChatGPT/Gemini.
2
Quality and reliability are the biggest complaints
replies highlight poor accuracy, patchy behavior, and agent failures that erode trust — getting some sub-tasks wrong makes the whole assistant unusable.
3
Price versus value is a sticking point
at ~$30/user/month many feel it’s a steep tax for features like email summarization that other tools do better or for free.
4
Forced distribution backfires
people resent Copilot being pushed into Office/Windows without clear opt-in, calling it intrusive, overengineered, and an “integration tax.”
5
Security and privacy fears surface often
concerns about client-side scanning, telemetry, TPM/Windows requirements, and the potential for surveillance or data breaches reduce enterprise trust.
6
Competition gets praise
ChatGPT, Gemini, Grok and GitHub Copilot are cited as more useful or simpler alternatives, with many saying Microsoft prioritized distribution over product-market fit.
7
Calls for openness and focus
frequent suggestions include opening the platform to other models, fixing reliability, and prioritizing concrete productivity wins (summarize inboxes, voice-to-doc, draft replies).
8
Leadership and strategy criticism
several replies blame executive decisions and long-term strategy, speculating about missteps, acquisitions, or leadership changes as a remedy.
9
Developer and enterprise nuance
a few note GitHub Copilot remains a bright spot for developers, while enterprise deployments stall when tools lack clear ownership, configuration, and consistent results.
10
Trust beats autonomy
threads emphasize that agentic features are worthless if they’re not dependable — users want consistent, time-saving outcomes rather than flashy demos.
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@mhdfaran
$30 per user/month is a steep price for a tool that mostly just summarizes emails i wasn't going to read anyway.
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@AlexCorrino
Copilot learned the hardest lesson in AI: Distribution doesn’t matter if the user doesn’t care. Being everywhere is not the same as being useful.
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@HashgraphOnline
They should've called it Clippy. Would've hit 100% adoption rate.
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