PwC's Billion-Job Study Confirms AI Is Splitting the Labour Market in Two — and the Wage Gap Is Already 62%

The most authoritative mapping of artificial intelligence's impact on global employment to date landed in mid-June, and its central finding should reframe how every professional thinks about their career trajectory. PwC's 2026 Global AI Jobs Barometer, released on June 15 and based on an analysis of more than one billion job advertisements across 27 countries and six continents, concluded that AI is not creating a single uniform labour market but two structurally distinct ones — and the gap between them is widening rapidly. The report found that roles 'professionalised' by AI, in which automation handles routine tasks while human judgement and expertise become more valuable, are seeing twice the job growth and 42% faster salary increases than roles 'democratised' by AI, in which the technology makes tasks easier for non-specialists to perform.

The wage premium attached to AI fluency has reached a level that professionals can no longer afford to ignore. According to PwC's Barometer, the average advertised wage premium for workers with AI-related skills hit 62 percent in 2025, up from 57 percent the previous year. In the consumer sector that premium reaches 118 percent, and in technology, media, and telecommunications it stands at 84 percent. Meanwhile, AI specialist job postings grew 68.9 percent between 2024 and 2025, compared with just 8.6 percent growth in total job postings — meaning roles requiring AI skills expanded roughly eight times faster than the broader labour market. Demand for these skills now extends well beyond technology into healthcare, finance, and manufacturing, as the Stanford HAI 2026 AI Index found that AI-related skills appear in 2.5 percent of all US job postings, representing a 297 percent increase over the past decade.

Perhaps the most counterintuitive finding in the PwC report concerns hiring volumes at AI-intensive companies. Conventional wisdom holds that AI adoption leads to headcount reduction, yet the Barometer found that businesses with the highest AI exposure recorded headcount growth of 52 percent since 2018, compared with 36 percent at the least AI-exposed firms. Wage growth at the most AI-exposed companies was also stronger — 24 percent versus 17 percent. A pronounced superstar effect is emerging at the top of this cohort: the top 20 percent of the most AI-exposed companies achieved average labour productivity growth of 163 percent relative to 2018, nearly five times higher than AI-exposed companies overall. As Euronews reported, PwC's Global Chief AI Officer Joe Atkinson stated that the companies seeing the greatest returns are using AI to amplify human expertise and create new sources of value, rather than simply pursuing automation for cost reduction.

The findings carry particular urgency for early-career professionals. An analysis of 2.4 million entry-level positions in the United States found that roles most exposed to AI are now seven times more likely to require skills traditionally associated with more senior staff — including leadership, creativity, and interpersonal communication. Since 2019, these up-skilled entry-level roles have increased in number by 35 percent, while other entry-level vacancies have declined by 10 percent. The practical implication, as PwC's report notes, is that AI is removing some of the routine work that once acted as an apprenticeship while simultaneously compressing the timeline within which junior workers are expected to demonstrate advanced capabilities. Organisations that fail to redesign onboarding and mentorship programmes to account for this shift risk losing their early-career talent pipeline.

For those setting career strategy for the next three to five years, the PwC Barometer offers a clear, data-driven framework. The decisive variable is not whether your industry is exposed to AI — virtually all are — but whether your specific role is being professionalised or democratised by it. Radiologists, recruiters, and data scientists whose judgement becomes more valuable as AI handles volume tasks sit in a fundamentally different position from IT service managers and medical secretaries whose roles are being made easier, and therefore less scarce. The World Economic Forum's 2025 Future of Jobs Report reinforced this by finding that 39 percent of workers' core skills are expected to change by 2030, with analytical thinking, leadership, and creative thinking among the fastest-growing employer demands. Workers who invest now in combining AI tool fluency with the contextual judgement and interpersonal capability that machines cannot replicate will find themselves on the right track of a bifurcating market.