The usual fear about AI is simple. It wipes out junior jobs.
The data shows something stranger. The starter jobs that survive now ask for skills that used to take years to earn.
PwC put hard numbers behind that shift. It looked at more than a billion job ads across 27 countries and six continents.
AI is good at the dull, routine tasks new hires used to learn on. PwC's Pete Brown calls that work the old apprenticeship.
As software takes it over, the work that's left changes. Junior staff now need judgement, fresh ideas, and the skill to deal with people face to face.
PwC found the gap is huge. Starter roles most touched by AI are seven times more likely to ask for those senior skills.
Think of it like skipping the mailroom. You start in the manager's chair, and the easy work that taught you the ropes is already gone.
New grads feel this first. They walk in needing skills that used to come with time.
Companies still hire juniors. They just want more from them on day one.
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PwC says AI is splitting work into two tracks, and the tracks are pulling apart. In one, AI makes experts stronger, like a doctor who reads scans or a person who hires staff.
In the other, AI makes a job so easy that almost anyone can do it. The expert track is winning by a wide margin.
Those expert roles have twice the job growth. Their pay is rising 42% faster than the jobs AI made simple.
The firms best at AI aren't cutting staff. They are hiring faster than everyone else, 52% versus 36%, and getting far more done per worker.
The very best AI firms saw output per worker soar since 2018. That divide is showing up in real hiring.
Demand for workers who can use AI is soaring. Those jobs are growing about eight times faster than the job market as a whole.
That shows up in pay. In some fields, AI skills add as much as 118% to wages.
The rush is broad, not niche. The number of AI jobs has nearly doubled since 2024.
PwC's Joe Atkinson says a new divide is opening up. On one side are firms that use AI to lift their people, and on the other are those just chasing cost cuts.
The pay gap tells the story on its own. Workers with AI skills now earn about 62% more than those without, up from 57% a year ago.
The split shows up at the entry level too. Those AI-heavy starter roles grew 35% since 2019, while others shrank 10%.
The robots aren't erasing these jobs. They are quietly changing which skills get paid.
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