Jim Cramer once claimed Microsoft had the weakest AI business and called Copilot “ridiculous.” Meanwhile, smart money was accumulating below $400.
This is the gap between narrative and reality.
A lot of commentary—especially from traditional finance and media—lacks real depth in AI. It focuses on what already happened, not what’s structurally coming next. Some YouTuber even prioritize pushing subscriptions or so-called custom-made software.
Here’s what’s being underestimated:
1. Copilot is a platform, not a feature
Microsoft can open Copilot to third-party AI agents—think integrations similar to Anthropic, OpenAI, or emerging players like MiniMax.
Your PC becomes a true digital operator, not just a chatbot.
2. End of manual workflows
AI agents working across Excel, emails, CRMs, and internal systems eliminate repetitive coordination work.
Entry-level and even mid-level roles get compressed—not overnight, but structurally.
3. Token economy = infrastructure boom
Every AI action consumes compute. That drives demand for:
Data centers
Memory (HBM, DRAM)
Storage
Power infrastructure
This is where the real money cycle compounds.
4. Spillover into other sectors
AI isn’t just SaaS:
Drug discovery acceleration
Clinical trial optimization
Biotech modeling
The second-order effects haven’t even been priced in yet.
Bottom line:
This isn’t just a software rally—it’s the early phase of a multi-industry capex supercycle.
But one caution:
“The sky is the limit” sounds good, but markets don’t move in straight lines. Execution risk, regulation, enterprise adoption speed, and competition (especially from open-source models) will matter.
@TigerClub @TigerStars @TigerPM @Daily_Discussion @TigerObserver
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