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AI Data Centers, Job Loss, and the Squirrel Problem
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Are all these AI data centers necessary, and what happens when workers are asked to train systems that may eventually absorb their work? Connor examines the gap between AI's promise and the measurable operating result. The episode covers enterprise adoption, employee resistance, proprietary data, small-business deployment, job displacement, narrow AI versus superintelligence, human agency, and the guardrails that belong between a recommendation and a consequential action. The common-sense pressure test is simple. If AI makes one employee three…
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