FT Poll: Top Earners Adopt AI Fastest, Widening Pay and Gender Gaps
A Financial Times survey of 4,000 workers in the US and UK finds that the highest-earning and most experienced cohorts are adopting AI tools at significantly higher rates than their lower-earning and less-experienced peers. The adoption gap is having measurable downstream effects: it is widening existing pay inequality and widening gender gaps in the workforce, as AI adoption appears to amplify existing advantages rather than distribute productivity gains evenly.
Why It Matters
This data directly challenges the optimistic "AI democratizes productivity" narrative. If AI adoption correlates with existing pay and experience levels rather than countering them, then near-term productivity gains will disproportionately accrue to already-advantaged workers — compounding existing inequality rather than reducing it. The finding also surfaces a concrete organizational risk for employers: AI adoption may widen internal equity gaps if not actively managed. Source: Financial Times.