Another way to look at it:
The AI race may eventually become a “profitability race,” not a technology race.
Companies are spending huge amounts on AI infrastructure, but spending more does not guarantee higher profits.
Data centers, power, HBM and networking may benefit even if one AI model loses the competition.
AI agents could increase computing demand because AI may run continuously instead of only when users ask questions.
However, if AI services become cheaper because of intense competition, revenue may not grow as quickly as computing costs.
This makes free cash flow, margins and return on investment more important than simply counting AI users or GPUs.
Bottom line:
I would not focus only on “Who has the best AI?” I would focus on “Who can make money from AI after paying the enormous infrastructure costs?” That could be the key question for the next stage of the AI market.
Microsoft Surges 3.66% Friday on Reported Massive Data Center Expansion Plans
Microsoft jumped 3.66% Friday, leading large-cap peers, after reports emerged of a sweeping data center expansion initiative that refocused the market on whether Azure can justify the capital outlay. Simultaneously, media citing Michael Burry flagged a coming reckoning for big tech AI — naming Oracle's $664 billion backlog — underscoring lingering uncertainty over AI investment returns. Is Microsoft's latest data center bet an AI-era moat — or the landmine Burry warned about?
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