AI Labour Market Transformation: New Data Shows Winners and Losers

PwC’s 2026 Global AI Jobs Barometer—released today and analysing over one billion job advertisements across 27 countries and territories—paints a striking picture of a labour market diverging sharply along AI skills lines.

Key Developments

The headline finding is stark: jobs requiring specific AI skills are growing almost eight times faster than the overall jobs market. While the general job market grows at 9%, AI-specific roles are expanding at 69%. This acceleration comes with a tangible financial incentive—the average wage premium for AI skills has jumped to 62%.

But here’s where it gets complicated for workers and employers alike. AI is simultaneously reshaping what companies expect from entry-level roles. Analysis of US data shows that AI-exposed entry-level positions are now seven times more likely to require traditionally senior-level skills such as judgement and leadership. These roles have grown by 35% since 2019, while other entry-level positions have declined by 10%.

”Super-star companies” most exposed to AI achieved labour productivity gains of 163%—significantly outpacing other businesses. This concentration of benefits raises questions about inequality within and between organisations.

Why This Matters for Europe

The European angle is significant. Across the EU, recent research shows a more nuanced picture. The European Training Foundation’s April 2026 analysis found that AI is transforming jobs faster than eliminating them—but outcomes depend heavily on policy choices and organisational practices.

European firm-level data provides some reassurance: AI adoption increases labour productivity by 4% on average with no evidence of reduced employment in the short run. However, benefits are unevenly distributed—medium and large firms experience substantially stronger gains than smaller ones, a concern for EU economies with significant SME sectors.

Meanwhile, European labour markets are cooling. Slower industrial growth, combined with increased AI adoption, is encouraging firms to limit hiring rather than expand headcounts.

What This Means for Builders and Workers

For organisations, the message is clear: reskilling isn’t optional. “AI is removing some of the routine work that once acted as an apprenticeship, while increasing demand for judgement, leadership and adaptability much earlier in careers,” the report notes. Companies need to fundamentally rethink how they develop talent.

For workers, the picture is mixed. AI skills command premium wages, but the pathway to developing those skills is becoming steeper. Entry-level positions that once provided foundational training are disappearing or upgrading their requirements.

Open Questions

Several critical questions remain unanswered. How will EU member states respond to this divergence—particularly smaller economies where SMEs dominate? Will wage premiums for AI skills persist, or will they compress as supply increases? And critically: are there policy levers that can ensure broader access to AI-driven productivity gains?

On June 10, Anthropic announced a $200 million Economic Futures Research Fund to fund empirical research on these labour market shifts. This investment signals that tech companies themselves recognise the need for better data—and better policy frameworks—to manage the transition ahead.

Source: PwC