Applied Quantum
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- Analyst: AI buildout needs $2.5T annual revenue, equal to 250 million jobs
TechRadar reports that an analysis by Marin Ivezic, founder of Applied Quantum, concludes AI would need roughly $2.5 trillion in annual revenue to justify current infrastructure investment, while optimistic estimates put current AI revenues at $150 billion to $250 billion a year. Assuming a $100,000 cost per full-time employee, Ivezic calculates that meeting that target would require replacing or delivering the productivity of 250 million full-time jobs, while the US has only about 159 million nonfarm jobs. He also describes a “50-Cent Rule” for infrastructure providers and compares the spending to telecom carriers that laid fiber during the dot-com boom and could not recover their investment.
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