PwC's Billion-Job AI Barometer Exposes a Two-Track Labour Market — and the 62% Wage Premium That Separates Winners from Losers
On June 15, PwC released what may be the most comprehensive analysis of AI's impact on global employment ever conducted. The 2026 Global AI Jobs Barometer analysed more than one billion job advertisements across 27 countries and territories, combining large-scale labour market data with company financial and occupational task data to understand how AI is reshaping jobs, skills, wages, and productivity across the global economy. The headline finding is striking in its clarity: AI is not homogenising the labour market but dividing it into two structurally distinct tracks, with radically different outlooks for the workers on each side of the divide.
PwC describes these tracks as "professionalised" and "democratised" roles. Professionalised roles — such as radiologists or recruiters — are those in which AI automates routine tasks while human judgement and expertise become more, not less, central. Democratised roles — such as IT service managers or medical secretaries — are those in which AI makes the job itself easier for non-experts to perform, effectively lowering the skill bar and, with it, the wage. Professionalised roles are seeing twice the growth in available jobs and 42% faster salary growth than democratised counterparts. For any professional conducting a candid assessment of their career, the primary question is no longer whether AI will affect their role, but which track their role sits on.
The wage premium data is especially stark. Jobs requiring specific AI skills — such as prompt engineering or machine learning — have grown roughly eight times, or 69%, faster than the overall jobs market, which grew at 9%. The average wage premium for AI skills has now risen to 62%, meaning a worker in an AI-exposed role who possesses relevant AI competencies earns nearly two-thirds more than a comparable colleague without them. The number of AI-related jobs is almost twice as high as in 2024, with growth in AI jobs outpacing all jobs since 2015. The technology, media, and telecommunications sectors saw the highest share of AI job growth at 11%, while healthcare remained at the lower end at less than 1%.
Perhaps the most counterintuitive finding concerns the companies benefiting most. PwC found that companies in the most AI-exposed sectors recorded 34% productivity growth in 2025 relative to 2018, compared to 24% for companies least able to use AI. Within this group, a pronounced superstar effect is emerging: the top 20% of the most AI-exposed companies achieved average labour productivity growth of 163% relative to 2018 — nearly five times higher than the most AI-exposed companies overall. Crucially, these superstar companies are not using AI purely to cut costs. According to PwC, headcount growth at the most AI-exposed companies is outpacing that at the least exposed, and wages are growing faster too, suggesting that gains are shared with workers rather than captured entirely by shareholders.
The findings carry particularly sharp implications for early-career professionals. Based on analysis of 2.4 million entry-level jobs in the US, entry-level roles most exposed to AI are now seven times more likely to require traditionally senior-level skills such as leadership, creativity, or face-to-face interaction than comparable roles in less AI-exposed fields. These AI-exposed entry-level roles grew 35% since 2019, while other entry-level roles declined by 10%. The message for professionals at every career stage is that AI is compressing the traditional apprenticeship model — removing the routine tasks that once built foundational expertise over years and demanding judgement, adaptability, and leadership earlier than ever. For employers, rethinking talent development pipelines is no longer optional. For individuals, the most urgent career investment available is demonstrable AI fluency paired with the irreducibly human skills — communication, strategic reasoning, and interpersonal leadership — that the barometer consistently identifies as the competencies AI most amplifies rather than replaces.