- Workers see rising wages: AI-skilled workers see average 56% wage premium in 2024, double the 25% in the previous year
- Confounding expectations, data shows job availability grew 38% in the roles more exposed to AI, albeit below the growth rate in less exposed occupations
- Industries most exposed to AI saw 3x higher growth in revenue per employee (27%) compared to those least exposed (9%)
- The skills sought by employers are changing 66% faster in jobs most exposed to AI
LONDON, June 3, 2025 /PRNewswire/ — AI is making workers more valuable, productive, and able to command higher wage premiums, with job numbers rising even in roles considered most automatable, according to PwC’s 2025 Global AI Jobs Barometer, released today. The report is based on analysis of close to a billion job ads from six continents.
The report finds that since GenAI’s proliferation in 2022, productivity growth has nearly quadrupled in industries most exposed to AI (e.g. financial services, software publishing), rising from 7% from 2018-2022 to 27% from 2018-2024. In contrast, the rate of productivity growth in industries least exposed to AI (e.g. mining, hospitality) declined from 10% to 9% over the same period.
2024 data shows that the most AI exposed industries are now seeing 3x higher growth in revenue per employee than the least exposed.
Carol Stubbings, Global Chief Commercial Officer, PwC, said:
“This research shows that the power of AI to deliver for businesses is already being realised. And we are only at the start of the transition. As we roll out Agentic AI at enterprise scale, we are seeing that the right combination of technology and culture can create dramatic new opportunities to reimagine how organisations work and create value.”
Job numbers are rising in virtually every type of AI-exposed occupation, even those highly automatable
Contrary to some expectations, the data from the report does not show job or wage destruction from AI.
While occupations with lower exposure to AI saw strong job growth (65%) in recent years (2019-2024), growth remained robust even in more exposed occupations (38%). Within more exposed occupations, jobs can be further divided into ‘automated’ (i.e., the job contains some tasks that AI can carry out) and ‘augmented’ (i.e., where AI helps a human do their job better). Across both classifications between 2019-24, job numbers are growing in every industry analysed, although augmented jobs are generally growing faster.
Wages are growing twice as fast in AI-exposed industries
Wages are growing twice as fast in industries more exposed to AI versus less exposed, with wages rising in both automatable and augmentable jobs.
Jobs which require AI skills also offer a wage premium (over similar roles that don’t require AI skills) in every industry analysed, with the average premium hitting 56%, up from 25% last year. Jobs that require such AI skills also continue to grow faster than all jobs – rising 7.5% from last year, even as total job postings fell 11.3%.
Joe Atkinson, Global Chief AI Officer, PwC, said:
“In contrast to worries that AI could cause sharp reductions in the number of jobs available – this year’s findings show jobs are growing in virtually every type of AI-exposed occupation, including highly automatable ones. AI is amplifying and democratizing expertise, enabling employees to multiply their impact and focus on higher-level responsibilities. With the right foundations, both companies and workers can re-define their roles and industries and emerge leaders in their field, particularly as the full gambit of applications becomes clearer.”
The skills earthquake accelerates – AI is creating deep change in the skills workers need to succeed
While the picture on productivity, wages and jobs is broadly positive, the research does highlight the need for workers and businesses to adapt to a much faster pace of change. The skills sought by employers are changing 66% faster in occupations most exposed to AI, up from 25% last year.
What it takes to succeed in AI-exposed jobs is changing in other ways. Employer demand for formal degrees is declining for all jobs, but especially quickly for AI-exposed jobs. The percentage of jobs AI augments that require a degree fell 7 percentage points between 2019 and 2024 from 66% to 59%, and 9 percentage points (53% to 44%) for jobs AI automates.
The findings show that AI’s impact on women and men may be unequal – in every country analysed, more women than men are in AI-exposed roles, suggesting the skills pressure facing women will be higher.
Pete Brown, Global Workforce Leader, PwC, said:
“AI’s rapid advance is not just re-shaping industries, but fundamentally altering the workforce and the skills required. This is not a situation that employers can easily buy their way out of. Even if they can pay the premium required to attract talent with AI skills, those skills can quickly become out of date without investment in the systems to help the workforce learn.”
The AI business imperative
If businesses are to turbocharge their growth and leverage the opportunity afforded by AI, they must put AI front-and-centre, now. The report recommends five key actions for businesses:
- Use AI for enterprise-wide transformation.
- Treat AI as a growth strategy, not just an efficiency strategy.
- Prioritise Agentic AI.
- Enable your workforce to have the skills to make the most of AI’s power.
- Unlock AI’s transformative potential by building trust.
About the PwC 2025 Global AI Jobs Barometer
The AI Jobs Barometer analysed close to a billion job ads and thousands of company financial reports across six continents to reveal AI’s impact on jobs, wages, skills, and productivity. The Barometer includes some of the most recent available data on AI’s impact including the latest available job ads and company reports through the end of 2024. We define a job as ‘AI-exposed’ if it contains many tasks in which AI can be used according to the well-established AI Occupational Exposure index. Definitions: ‘More exposed’ jobs are the 50% of jobs with greater AI exposure; ‘Less exposed’ jobs are the 50% of jobs with lower AI exposure; ‘Most exposed’ jobs are the 25% of jobs with the greatest AI exposure. We use the IMF’s methodology to separately analyse AI-exposed jobs that are highly automatable (which means the job contains many tasks AI can perform) versus jobs that are highly augmentable (which means the job contains many tasks in which AI supports human expertise and judgment). You can read the full report and learn more about the key takeaways for business at www.pwc.com/aijobsbarometer
About PwC
At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com
