The DSR Network SIliconsciousness: Why Do People Hate So Many of AI’s Moguls?
Feb 9, 2026
Mat Honan, editor at large and former MIT Technology Review editor in chief who reports on AI, data centers, and tech policy. He describes Davos’s AI fervor and how panels hype generative models. He contrasts practical enterprise deployments with sparse safety talk. He explores data center backlash, agentic commerce, brand disruption, and why tech billionaires become symbolic targets.
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Safety And Environment Took A Back Seat
- Environmental impacts and AI-safety were surprisingly absent from many Davos AI discussions.
- Participants focused more on deployment and business use-cases than broader societal costs.
Vocabulary Follows The Money
- AI-related terminology often follows funding and hype cycles rather than pure science.
- Terms like 'generative' or 'machine learning' rise and fall with investor interest.
Less Bubble Talk, More Practical Worries
- Davos conversations lacked broad talk of an AI bubble bursting; most attendees sounded optimistic about growth.
- Concerns centered more on labor displacement and IP than market collapse.