Which G7 economies have the most jobs and industries exposed to AI, for better or worse?

This explores which G7 economies have industry mixes most open to AI, and what that exposure actually means. The corpus gives a short, direct answer from one source. OECD economists project that AI will add between 0.2 and 1.3 percentage points a year to labor productivity growth across the G7. Where a country lands in that range depends mostly on its sectoral composition and how fast it adopts. The US and UK come out on top because their economies lean toward AI-exposed sectors. Italy and Japan sit at the low end How much will AI boost productivity across G7 nations?. The collection doesn't break out Canada, France, or Germany separately, and it has no full country ranking. Treat the US/UK-vs-Italy/Japan contrast as the solid finding and the middle of the table as an open question.

The more useful question is what makes a sector 'AI-exposed' in the first place, and other parts of the corpus answer it. When researchers look at where workers have actually handed tasks to AI inside structured workflows, the work clusters in information-intensive occupations: finance, professional services, software, media. It follows what the technology can actually do, not the older idea that routine jobs get automated first Where have workers actually delegated tasks to AI?. That explains the G7 split. The US and UK economies are weighted toward exactly this kind of knowledge and services work. Italy's manufacturing and small-firm base and Japan's industrial structure have less of it.

Here's a less obvious point: exposure isn't spread evenly inside a country either, and it isn't the same as getting the benefit. Firms that are already more AI-exposed swap out outside labor for AI tools faster and more cheaply than less-exposed firms. That suggests returns to scale, where AI skill built up inside a company compounds over time Do firms substitute labor for AI at different rates?. If that holds across countries too, the US and UK lead may widen over time rather than settle into a fixed gap.

Exposure also has a cost side that a productivity headline hides. US payroll data show no economy-wide job losses from AI so far. But young workers in AI-exposed occupations are hired at rates 19% lower than their peers Is generative AI displacing workers at economy-wide scale?. And exposure lands differently by gender. In male-dominated fields it concentrates among high-paid workers. In female-dominated fields it reaches every skill level, including lower-paid women with fewer resources to adapt Does AI exposure hit low-wage workers harder in some fields?. So the countries that gain most may also be the ones where entry-level career paths get squeezed first. 'Strongest AI-exposed composition' points to both the biggest upside and the earliest disruption.