AI is already cutting entry-level jobs
AI appears to be erasing thousands of entry-level roles each month, which is forcing firms to rethink hiring for junior positions rather than treating them as guaranteed benches for future talent growth. (techrepublic.com) Research tied to Goldman Sachs also warns that workers displaced by AI take longer to find new work and often earn less over the long run, a dynamic that makes every analyst seat harder to justify. (cio.economictimes.indiatimes.com)
A first job used to come with a lot of copying, sorting, summarizing, scheduling, and spreadsheet cleanup. Those are exactly the chores that large language model tools now do in seconds, so the bottom rung of the ladder is getting sawed off first. (techrepublic.com) Goldman Sachs now estimates artificial intelligence has reduced United States job growth by about 16,000 jobs per month over the past year. The early damage is concentrated in entry-level roles, where the work is repetitive enough for software to absorb. (techrepublic.com) That does not mean every company is firing thousands of rookies on one day. It means many firms are quietly deciding not to open the junior analyst, junior recruiter, junior coder, or junior support role they would have posted in 2024. (techrepublic.com) The March 2026 layoff data shows how fast that logic is spreading. Challenger, Gray & Christmas said United States employers announced 60,620 job cuts in March, up 25% from February, and artificial intelligence was the leading reason employers gave for those cuts. (challengergray.com) Young workers are running into that wall at the worst possible moment. The Federal Reserve Bank of New York said unemployment for recent college graduates rose to about 5.7% in the fourth quarter of 2025, while underemployment hit 42.5%, the highest level since 2020. (newyorkfed.org) The long-term math is even rougher if a worker is displaced by technology instead of an ordinary downturn. Goldman Sachs says workers pushed out by technological change spend about one extra month searching for a new job and then earn about 3% less in real terms when they land one. (economictimes.indiatimes.com) That pay gap does not disappear quickly. Goldman Sachs says earnings growth for tech-displaced workers runs 10 percentage points lower over the next decade than for similar workers who kept their jobs. (economictimes.indiatimes.com) The trap has a name: occupational downgrading. A worker loses a role that required one set of skills, then takes a lower-skill job because the same technology that killed the old role also made those old skills less valuable. (economictimes.indiatimes.com) Companies are still telling a bigger story in public: the World Economic Forum says employers expect 170 million jobs to be created and 92 million to be displaced by 2030. The catch is that those gains do not arrive in the same places, at the same speed, or for the same people who lose the starter jobs first. (weforum.org) The same World Economic Forum report says nearly 40% of skills required on the job are expected to change by 2030. If firms stop hiring juniors now, they also stop training the people they will need later, which turns today’s labor saving into tomorrow’s talent shortage. (weforum.org) That is why this shift feels different from a normal hiring freeze. A recession usually pauses the escalator, but artificial intelligence lets companies remove whole first-step tasks permanently, and once those tasks are gone, the traditional path from intern to manager gets harder to rebuild. (techrepublic.com)
