The tech is awe-inspiring. And yet AI’s economic impact will be muted unless millions of firms beyond Silicon Valley adopt it
impact that artificial intelligence may have on the economy, consider the tractor. Historians disagree about who invented the humble machine. Some say it was Richard Trevithick, a British engineer, in 1812. Others argue that John Froelich, working in South Dakota in the early 1890s, has a better claim. Still others point out that few people used the word “tractor” until the start of the 20th century. All agree, though, that the tractor took a long time to make a mark.
France is the opposite. Although its record on innovation is average, it is excellent at spreading knowledge across the economy. In the 18th century French spies stole engineering secrets from Britain’s navy. In the early 20th century Louis Renault visited Henry Ford in America, learning the secrets of the car industry. More recently, formerin Paris. France also tends to do a good job of spreading new tech from the capital to its periphery.
Since the mid-2000s, however, the world has been turning Japanese. True, consumers adopt technology faster than ever. According to one estimate TikTok, a social-media app, went from zero to 100m users in a year. Chatitself was the fastest-growing web app in history until Threads, a rival to Twitter, launched this month. But businesses are increasingly cautious. In the past two decades all sorts of mind-blowing innovations have come to market.
Three possibilities explain lower diffusion: the nature of new technology, sluggish competition, and growing regulation. Robert Gordon of Northwestern University has argued that the “great inventions” of the 19th and 20th centuries had a far bigger impact on productivity than more recent ones. The problem is that as technological progress becomes more incremental, diffusion also slows, since companies have less incentive and face less competitive pressure to upgrade.
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