CONCEPT
The Race Between Education and Technology
Claudia Goldin and Lawrence Katz's 2008 framework — adopted by Brynjolfsson as the single most important lens for understanding labor market implications of AI — for how the distribution of technological gains depends on whether education keeps pace with the skills new technology demands.
The race between education and technology is the economic-history framework developed by Harvard economists Claudia Goldin and Lawrence Katz in their 2008 book of that title. Their argument: the distribution of gains from technological progress across the American twentieth century depended on a single variable — whether education produced workers with the skills prevailing technology required. When education won the race, gains were broadly shared across the income distribution. When technology outpaced education, gains concentrated at the top. The framework explains, with unusual empirical precision, the twentieth century's shift between relatively shared prosperity (1910-1980) and rising inequality (1980-present): the shift tracked, above all, the relative pace of educational attainment versus skill demand. Brynjolfsson adopted the framework as central to his AI analysis, arguing the AI transition would decisively test whether education could keep pace — and predicting that, absent major educational reform, technology would win at a scale that