The article argues that AI is reshaping gender inequality even before the pay gap visibly widens. Women are more concentrated in clerical and administrative roles where AI can restructure work, while men are more concentrated in technical, AI-complementary roles. Among college graduates, the exposure pattern flips, reflecting men’s STEM concentration. Since wage gaps lag task reorganization, exposure and position in the AI investment stack matter more than today’s averages.

It also flags an adoption gap. Surveys find men use generative AI at work more often than women, and few employers offer training. As AI-investing firms shift toward more educated, STEM and IT-heavy workforces and flatter hierarchies, rewards may flow to those closest to deployment. The piece argues leaders can still narrow the divide by widening tool access, funding training early and building ladders into AI-complementary roles.