Computer Says Maybe Big Tech’s Bogus Vision for the Future w/ Paris Marx
Aug 22, 2025
Independent journalist Paris Marx joins the discussion to dive into the often-overlooked impacts of hyperscale data centers and their relationship with generative AI. Marx critiques Silicon Valley's empty promises and the environmental costs of data center expansions. He highlights the gap left by inadequate U.S. industrial policy and the implications of outsourcing manufacturing to China. The conversation also touches on the need for public tech institutions and the rising power of tech founders, raising urgent questions about accountability and national tech sovereignty.
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Data Center Boom Isn’t Just AI Hype
- Hyperscale data centers grew before generative AI and reflect long-term tech business incentives.
- Cloud providers benefit when computation use rises, so buildout pressure persists regardless of short-term AI fads.
From Apple Fanboy To Skeptic
- Paris Marx recounts his shift from Apple fanboyism to skeptical critique after observing tech's real-world effects.
- He saw automation create algorithmic management and gig work instead of mass jobless leisure.
Efficiency Often Increases Demand
- Efficiency gains in AI often spur more use, not less, through Jevons-like rebound effects.
- Tech leaders therefore profit whether models become more or less computationally efficient.
