An updated PwC report reveals one of the largest datasets yet about how AI is reshaping work, drawing on more than 1 billion job postings across 27 countries to track real changes in skills, hiring, and wages.
This offers CHROs a counterpoint to job-loss narratives: the results show that AI exposure correlates with faster hiring and higher pay when paired with human skill development, giving HR leaders more data to back their talent strategy.
Why it matters: Companies that use AI to amplify human judgment are growing faster than companies using AI purely to cut costs. This shifts the conversation away from “how many jobs will AI cut” toward “which skills should we be building and rewarding to drive growth and create new forms of value.”
The talent split:
Professional jobs: AI raises the expertise required to do the job well. It becomes a tool that deepens specialization rather than replacing it. Examples: radiologists, recruiters, financial analysts. AI handles the routine parts, but the human still needs expertise to interpret results, make judgment calls, and add value.
- Companies with more AI exposure experienced faster hiring, not fewer jobs.
- AI-skilled roles (machine learning, prompt engineering) grew 8X faster than regular jobs. The wage for those skilled roles rose to 62%.
- While overall early-career job postings have flatlined, “seniorised entry level roles,” which require a combo of AI and soft skills, are thriving.”
Democratized Jobs: AI lowers the expertise required, making the task doable by non-experts like IT service managers, sales reps, and medical secretaries.
| Industry |
Growth Rate |
| Tech, media, and telecom |
11% job growth (leading all sectors) |
| Professional services |
6% job growth |
| Health care |
<1% job growth (despite AI amplifying roles like radiologists) |
| Consumer markets |
118% AI wage premium (widest of any sector) |
| Government and public sector |
16% AI wage premium (narrowest of any sector) |
Another insight: Since AI does more of the actual work, these entry-level roles now require judgment, empathy, or creativity grew 35%. Entry-level roles without those skills shrank 10%.
“AI is removing some of the routine work that once acted as an apprenticeship. It's increasing demand for judgment, leadership and adaptability much earlier in careers. Organizations will have to rethink how they develop talent,” said Pete Brown, PwC’s global workforce leader.
Bottom line: Companies that pair AI with human intensive skill-building and innovation – along with AI skills – are outperforming those using it mainly to automate lower-level tasks and cut costs. A sign that the deployment strategy, more than the technology itself, is the predictor of success.
