Source: Fortune
Summary
The US economy is experiencing a curious phenomenon, where economic expansion continues despite slowing job growth, suggesting rising productivity among employed individuals. However, productivity growth has been stagnant in recent years, and the first quarter of 2026 saw a slowdown. Technologists claim AI will optimize workflows and boost productivity, but this growth has yet to show up in the data. Researchers at the Federal Reserve Bank of San Francisco suggest that the economy might be in the early stages of a historic productivity surge, similar to the internet boom of the 1990s.
Our Reading
The numbers tell one story. The US economy is experiencing a productivity paradox, where labor productivity is rising, but total factor productivity (TFP) is struggling to post significant growth. This mirrors the pattern seen during the computer and internet boom of the 1990s. Business investment in AI is surging, but the growing pains of AI adoption have been laid bare by multiple studies, showing that employees who use AI tools save time, but often redirect it into other work, resulting in fewer breaks and a higher risk of burnout.
The strategy enters a familiar phase. Companies are forecasting a productivity boom, but the lack of measurable impact for the economy at large is reminiscent of the early days of the Internet. The Fed researchers suggest that the economy might be in the early stages of a productivity boom driven by AI that will only become clear in retrospect. The announcement sounds familiar, echoing the words of Nobel laureate Robert Solow, who said, “You can see the computer age everywhere but in the productivity statistics.”
Author: Evan Null
