AI Creates Stark Divide in Labour Market, PwC Analysis Shows

On 15 June 2026, PwC released its 2026 Global AI Jobs Barometer—the most comprehensive labour market analysis yet undertaken. The study examined over one billion job advertisements across 27 countries and territories, including extensive European and potential Irish market coverage, revealing a labour market increasingly split between roles that benefit from AI and those facing structural pressure.

What’s Happening

The headline finding is stark: AI is reshaping employment into two distinct tracks. Jobs requiring specific AI skills are growing almost eight times faster (69%) than the total jobs market (9%). Meanwhile, workers with AI expertise now command a 62% wage premium on average—up from 57% the previous year—with some sectors like consumer markets seeing premiums as high as 118%.

But here’s the catch: entry-level roles are getting harder to enter. AI-exposed entry-level positions are seven times more likely to require traditionally senior-level skills like judgment and leadership. These roles have grown 35% since 2019, yet other entry-level positions have declined by 10% in the same period.

Companies most aggressively adopting AI are pulling away. The top 20% of AI-exposed companies achieved 163% labour productivity growth compared to 2018—nearly five times the average for other AI-exposed firms.

Why This Matters for Europe and Ireland

For European policymakers and business leaders, this signals both opportunity and risk. The dual-track system rewards specialisation in AI fluency while potentially locking younger workers out of career progression pathways. This comes as European economies—including Ireland—face skills shortages in tech and knowledge work.

The breadth of the analysis (27 countries, 1 billion job ads) suggests strong European representation in the dataset, though PwC has not yet published country-specific breakdowns. European governments are already grappling with AI’s workforce implications through the EU AI Act; this data provides empirical grounding for those regulatory conversations.

What This Means for Builders and Teams

For organisations: The productivity gains are real (163% for leaders), but they require investment in human-centred skills alongside tool deployment. Generic upskilling won’t cut it—you need structured pathways for judgment, creativity, and strategic thinking.

For workers: The wage premium is significant, but it’s narrowly targeted. Generalist roles are under pressure; specialisation in AI-adjacent skills (not necessarily deep ML knowledge, but strong conceptual fluency) is increasingly valuable. Entry-level hiring is contracting in AI-exposed fields, making early-career navigation harder.

For policymakers: This data supports targeted interventions—not broad retraining programmes, but focused pathways for mid-career transitions and redesigned entry-level roles that combine junior work with AI-assisted learning.

Open Questions

  • How do these trends vary within Europe? Irish and Northern European labour markets may show different patterns than Southern or Eastern regions.
  • Are the wage premiums sustainable, or are they early-stage scarcity rents that compress as supply of AI-skilled workers grows?
  • How do public sector roles (which showed only 16% wage premiums) adapt workforce models when productivity gains aren’t translating into pay?
  • Will the 10% decline in non-AI entry-level roles accelerate, and what’s the capacity of the economy to absorb displaced workers?

This is the clearest empirical picture yet of AI’s labour market impact. It shows transformation, not apocalypse—but also real structural pressure on how careers are built.

Source: PwC