A new study of 6,000 executives reveals that 90% of firms report no impact from AI on employment or productivity over the past three years, echoing economist Robert Solow's 1987 "productivity paradox" from the early computer age. Despite widespread AI adoption claims, actual implementation remains minimal, with two-thirds of executives using the technology for just 1.5 hours weekly and 25% not using it at all.

Executives maintain optimistic projections, forecasting AI will increase productivity by 1.4% and output by 0.8% over the next three years. Economist Torsten Slok observes, "AI is everywhere except in the incoming macroeconomic data," noting the absence of AI effects in employment, productivity, or inflation data outside the tech sector's "Magnificent Seven." This disconnect between expectation and reality puzzles researchers monitoring the $250 billion annual corporate investment in AI.

The situation mirrors the 1980s when computers initially failed to deliver promised productivity gains before eventually fueling a surge in the 1990s. IBM's decision to triple young hires suggests concerns about AI displacing entry-level workers might backfire by creating leadership pipeline gaps. As economist Erik Brynjolfsson notes, the U.S. may already be experiencing a 2.7% productivity jump from transitioning from AI investment to reaping its benefits.