Reid Hoffman said A.I. data-center buildouts are the main reason the U.S. economy is avoiding a recession, and economists dispute how much of that spending boosts domestic growth.
China’s economy and geopolitical implications are debated in a roundup of essays and interviews, with Logan Wright arguing that the financial system that drove China’s growth is now constraining it. The discussion also spotlights a Pentagon AI-related point about why giving government AI isn’t enough without institutional change. The result is a shift in focus from US-China rivalry toward questions of jobs, policy options, and how emerging technologies like AI and EVs might affect China’s trajectory.
The author argues that appointing an AI czar is not enough because repeated AI incidents and weakening public/investor trust could trigger a broader pullback that harms the U.S. economy. In 2025, Amazon, Meta, Alphabet, and Microsoft invested $400 billion in data centers alone. The proposed change is to create a fully staffed Department of AI with authority to set pre- and post-deployment risk frameworks, run audits, impose fines, and draft faster legislation to reduce risk and preserve investment confidence.
McKinsey Global Institute says AI and automation will eliminate about 36 million U.S. jobs by 2035 while creating about 41 million elsewhere, leaving workers needing to relocate careers. In the base case, about 11 million workers (roughly 7% of the workforce) would need to leave their current occupations entirely. The report implies more retraining and credentialing pressures, with many displaced workers facing limited or “unpaved” paths into the growing jobs that are often non-remote.
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