What happened
PwC's 2026 Global AI Jobs Barometer, published 15 June 2026, analyses over one billion job advertisements from 6 continents to measure how AI is affecting jobs, skills, wages, and labour productivity. The headline findings: productivity growth is 40% higher at companies most exposed to AI versus least exposed, and the most AI-exposed companies see faster headcount growth (52% vs 36%) and higher wage growth (24% vs 17%). The report identifies a structural 'two-track labour market' — 'jobs professionalised by AI' (22% of advertised roles, where AI handles routine tasks leaving expert work for humans) are growing twice as fast as 'jobs democratised by AI' (52% of roles, where AI takes on complex tasks), with 42% higher wage growth since 2021 in professionalised roles. Skills required for the most AI-exposed jobs are changing 2.5x faster than the least exposed, with a 75% increase in that gap versus last year. AI-exposed entry-level roles are 7x more likely to demand senior skills such as leadership and strategic thinking.
Why it matters
The two-track labour market finding has direct implications for workforce strategy, talent investment, and compensation benchmarking — executives who assume AI displaces jobs uniformly are misreading the market; the data show AI is bifurcating it sharply.
Action needed
Audit your workforce against the professionalised vs democratised job taxonomy and redirect talent investment toward roles where AI amplifies human expertise rather than those where it displaces it.