PwC's latest "AI Jobs Barometer 2026" shows that AI's impact on white-collar jobs goes beyond just reducing the number of positions. A more significant change is that companies are rewriting entry-level job requirements, placing skills previously geared towards senior employees into entry-level positions earlier, making it more difficult for younger job seekers to enter the workforce.
Requirements for entry-level positions have been raised.
An analysis of over 1 billion job postings by PwC shows that in professions with high AI exposure, entry-level positions now more often require experience-based skills such as strategic judgment, stakeholder communication, leadership, and decision-making. The report calls this shift "seniorization."
In professions with the highest AI exposure, 52% of the skills newly added to entry-level job postings are skills that previously appeared at later career stages. In contrast, this figure is only 7% in professions with the lowest AI exposure.
PwC also stated that since 2019, hiring for these redefined entry-level positions has increased by 35%, while traditional entry-level positions have decreased by 10% during the same period. This means that the positions haven't disappeared, but the entry barriers have risen.
Companies are still expanding their hiring.
This report also corrects the simplistic conclusion that "AI will reduce employment." PwC data shows that since 2018, labor productivity in industries with the highest AI exposure has increased by 34%, higher than the 24% increase in industries with the lowest exposure.
Among them, the top 20% of companies with high AI exposure saw an average increase in labor productivity of 163%. PwC believes this indicates that some companies are not simply replacing employees with AI, but are leveraging AI to expand their business capabilities and work output.
However, increased hiring doesn't necessarily mean more opportunities are going to newcomers. The report points out that companies with higher AI adoption rates are still expanding hiring, but are more inclined to look for candidates who can manage AI, make judgments, and collaborate with multiple parties. These kinds of requirements wouldn't typically appear in first job interviews in the past.
Low-exposure jobs are growing faster
The report also shows that since 2012, the occupations with lower AI exposure have actually seen faster hiring growth. By 2025, the number of job postings in the lowest quartile of AI exposure will be 4.7 times that of 2012, while the highest quartile will only see a 1.9-fold increase.
The jobs driving growth are mainly concentrated in fields such as construction, plumbing, welding, kitchen service, agriculture, and nursing assistance. These jobs rely more on offline operations, on-site services, and human contact, which AI cannot currently directly replace.
PwC also points out that job postings can only reflect changes in corporate demand and cannot fully explain the entire adjustment process in the labor market. However, based on existing data, if AI changes the first level of the career ladder, companies, schools, and policymakers will need to rebuild entry-level training pathways much earlier.
