Why does AI seem to be everywhere except in the economic statistics — and is that normal?
The claim echoes what economists call the Solow Paradox. In 1987, Robert Solow observed that "you can see the computer age everywhere but in the productivity statistics" — businesses spent billions on PCs, yet productivity growth stayed flat until the mid-1990s, when the gains finally arrived.
The reason is that general-purpose technologies — electricity, the internet, AI — require deep complementary changes before they pay off. A factory that bolted an electric motor onto a steam-era layout gained almost nothing; the payoff came when managers redesigned the floor from scratch.
Erik Brynjolfsson calls this the productivity J-curve: measured output dips first as firms absorb reorganization costs, then compounds once investment matures. The lag isn't evidence the technology is failing; it's evidence the harder adaptation work isn't finished yet.