On 15 June 2026, PwC published its 2026 Global AI Jobs Barometer, an analysis of more than one billion job advertisements across 27 countries and territories. The headline finding is a labour market dividing into two tracks. In one, artificial intelligence amplifies expert judgement; in the other, it makes the role easy enough that the expertise is no longer the point.
PwC calls these the professionalised and the democratised tracks. Professionalised roles, such as radiologists or recruiters, are seeing twice the growth in available jobs and 42 per cent faster salary growth than democratised ones, such as IT service managers or medical secretaries. The same tool is pulling two groups of workers in opposite directions.
What the democratised track quietly removes
The appeal of a democratised role is obvious. AI absorbs the difficult parts, and a non-expert can now do work that once required years of training.
The structural cost is less visible. When the demanding portion of a role is automated away, so is the friction through which judgement used to form. The worker is left with oversight of a system rather than the practice that built capability in the first place.
This is the condition the Structural Insight Library describes as unfulfilling work: role content that has shifted, over time, toward tasks that no longer develop the person doing them. It is not a complaint about boredom. It is an observation about what the work is building, or failing to build, in the people who perform it.
The premium is moving toward the human parts
The Barometer is precise about where value is concentrating. Jobs requiring specific AI skills are growing roughly eight times faster than the overall jobs market, 69 per cent against 9 per cent, and the wage premium for those skills has risen to 62 per cent, up from 57 per cent a year earlier.
The skills employers now prize most are not technical at all. PwC records rising demand for judgement, creativity and leadership, the human-intensive capacities that AI does not supply. Pete Brown, PwC's Global Workforce Leader, put the mechanism plainly: AI is removing some of the routine work that once acted as an apprenticeship, while demanding judgement and adaptability much earlier in careers.
The entry level shows the squeeze in sharp relief. Drawing on 2.4 million United States entry-level jobs, PwC found that those most exposed to AI are now seven times more likely to require traditionally senior skills, and that openings for these roles grew 35 per cent since 2019 while other entry-level roles shrank 10 per cent.
So the more useful question for any working professional is no longer whether AI will take the job. Does the job, as AI reshapes it, still develop the person doing it, or does it merely extract output while the capacity to advance quietly thins?
Opinion: Value Is Built by the Work, Not Just Measured by It
The two-track finding is usually read as a story about winners and losers. The more useful reading is structural. The track a person ends up on is not a verdict on their talent; it is a property of how their role has been designed around the tool.
A role that amplifies judgement keeps generating the conditions in which judgement grows. A role that has been emptied of its demands stops doing so, and the erosion is invisible until the worker tries to move and finds the ground has shifted beneath them. The wage premium PwC measures is the market pricing that difference after the fact.
Professional value has always been produced by the work itself, through the daily exercise of difficult decisions, not merely confirmed by a salary at the end of it. When the difficult decisions are removed, the value stops accumulating, however comfortable the role feels in the moment.
The provocation is this. Organisations are becoming adept at measuring which roles AI has made more valuable and which it has hollowed out. The harder task, and the one the Barometer leaves open, is deciding who is responsible for ensuring that the work people are given still builds the judgement their futures depend on.
Declaration of Generative AI and AI-assisted technologies in the writing process:
The author made use of Generative AI or AI-assisted technologies in the preparation of this post.
Sources
PwC, "AI reshapes global labour market into two distinct paths, rewarding human skills: PwC 2026 Global AI Jobs Barometer," 15 June 2026
PwC, "2026 Global AI Jobs Barometer," findings and methodology
The contents of this article are for informational purposes only and do not constitute professional, legal, or financial advice.
