PwC’s Global AI Jobs Barometer: A Two-Track Labour Market Emerges

On June 15, 2026, PwC released its 2026 Global AI Jobs Barometer, analysing over a billion job advertisements across six continents. The findings paint a stark picture: AI is not uniformly reshaping work—it’s creating a bifurcated labour market where some roles are being professionalised and others democratised, with profound consequences for young workers.

Key Developments

The headline figures are striking. Jobs requiring specific AI skills—such as prompt engineering or machine learning—are growing roughly eight times (69%) as fast as the overall jobs market at 9%. AI employment itself has nearly doubled since 2024, with growth in AI jobs outpacing all jobs since 2015. Companies most exposed to AI achieved labour productivity gains of 163%, significantly outpacing other businesses.

However, the most concerning finding concerns the entry level. AI-exposed entry-level roles are seven times more likely to require traditionally senior-level skills such as judgement and leadership. These roles grew 35% since 2019, while other entry-level roles declined by 10%—effectively closing the apprenticeship pathway that has historically shaped career progression.

Why This Matters

Traditional career models—where junior staff perform routine work to develop expertise before advancing—are being disrupted. AI is removing the “apprenticeship work” while simultaneously demanding higher cognitive skills from the outset. This inverts the usual relationship between experience and expertise.

The wage premium for AI skills has risen to 62%, rewarding specialist knowledge. Yet jobs have been split into two tracks: “professionalised” roles (requiring enhanced expertise) are growing twice as fast as “democratised” roles (simplified by AI tooling) with 42% faster wage growth since 2021.

Irish and European Context

Ireland faces particular exposure. The country’s labour market is “at the global frontier of AI adoption,” with AI-terms mentioned in over 11% of all job postings as of November 2025, up from 4% in November 2023. This reflects Ireland’s concentration in technology, media, and professional services sectors—precisely where AI adoption is fastest.

The real-world impact is already visible. Meta is cutting 20% of its Irish workforce (350 jobs), while Oracle has announced approximately 150 Irish job cuts (15% of its Republic workforce). These aren’t isolated incidents but signals of the broader restructuring underway.

The IMF estimates that some 40% of jobs globally could be exposed—either replaced or complemented—by AI. In Ireland, younger workers in highly digitalised sectors are identified as the most at-risk group.

Practical Implications

For builders and technologists, the message is mixed. AI specialists command significant premiums, and demand is accelerating. But the pathway into AI roles is narrowing for entry-level candidates who lack senior-level skills from day one.

For organisations, the data suggests productivity gains require investment in worker augmentation rather than replacement. Companies achieving the biggest productivity gains are raising wages and headcount faster than those least exposed to AI.

Open Questions

Several critical questions remain unanswered. How will labour markets adapt to a shrinking apprenticeship model? Will wage premiums for AI skills compress as supply increases? Can upskilling programmes bridge the entry-level gap before tech sector employment contracts further? And what fiscal risks emerge if Ireland’s multinational employment base continues contracting?

The Irish Government has committed to establishing an AI advisory unit, national fellowship programmes, and an Observatory for Business AI Readiness. Whether these interventions can mitigate the visible disruption remains uncertain.

Source: PwC