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AI’s Ubiquity Yet Absence in Recent Productivity Metrics • The Register

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Understanding AI’s Impact on Productivity: Insights from J.P. Gownder

In a recent interview, Forrester’s J.P. Gownder challenged the prevailing notion that AI will dramatically boost productivity. Despite advancements in technology, he highlights a troubling trend:

  • Historical Data Revelations: Productivity growth dropped from 2.7% annually (1947-1973) to just 1.5% (2007-2019).
  • The Solow Paradox: Noted economist Robert Solow stated that tech advancements often don’t correlate linearly with productivity enhancements.

Gownder’s research predicts that AI could displace up to 10.4 million jobs by 2030, primarily through automation. He cautions that these jobs may never return, signifying a structural shift in the economy.

Despite AI’s promise, 95% of generative AI projects lack tangible ROI, illustrating the gap between potential and reality. Companies may cut jobs, but that doesn’t always equate to AI-driven losses; financial motives often underlie these decisions.

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