AI Is Erasing 16,000 Jobs a Month — and It's Coming for the Career Ladder

Goldman Sachs dropped a number this month that deserves attention. AI is now erasing roughly 16,000 net jobs per month in the United States. Not hypothetically. Not in five years. Right now.

The pain is not evenly distributed. The workers getting hit hardest are the youngest ones — Gen Z, fresh out of college, trying to land their first real job.

Entry-level job postings in the US have fallen 35 percent in the last eighteen months. In tech specifically, junior postings have dropped by as much as 67 percent. The traditional first rung of the career ladder is disappearing.

The reason is straightforward. AI is best at automating routine, structured, white-collar tasks — the exact kind of work that entry-level roles are built around. Data entry. Customer service. Legal support. Administrative billing. These were the jobs that taught you how a company works. Now a chatbot does them.

Goldman's analysis breaks down the math. AI substitution wiped out about 25,000 positions per month over the past year. Augmentation — roles created or expanded because of AI — added back roughly 9,000. The net loss: 16,000 jobs a month, mostly at the bottom of the org chart.

The class of 2026 is walking into the worst entry-level market in 37 years. Entry-level roles now make up just 38.6 percent of all job postings, down from 44 percent in 2023. For every junior software engineer role that still exists, there are hundreds of applicants.

This is not just a tech problem. In the UK, graduate tech roles fell 46 percent in 2024, with projections for another 53 percent drop by 2026. Data entry is expected to lose 7.5 million positions globally by 2027. The pattern is showing up across industries and borders.

The economic ripple goes beyond raw job numbers. Goldman's regression analysis found that increasing AI exposure widens the gap between entry-level and experienced worker wages by about 3.3 percentage points. Junior workers are earning less while senior workers earn more.

Companies are split on how to respond. Nearly a quarter of surveyed executives say AI will reduce their need for entry-level hires outright. Many of the rest want new hires who show up with AI fluency on day one — fewer learn-on-the-job roles, more hit-the-ground-running positions.

A few companies are moving in the opposite direction. IBM reportedly tripled its entry-level hiring in 2026, arguing that AI still needs a human touch. One AI startup founder is specifically hiring Gen Z candidates with zero experience, saying they are not stuck in old ways of working.

For the most part, though, young graduates are reading the room and pivoting. Nearly 38 percent of recent graduates are considering starting their own business. Another 32 percent are looking at gig work. Twenty-eight percent are exploring freelancing. The traditional career path is becoming one option among several.

The rise of poly-employment tells the story best. More than half of Gen Z workers now juggle multiple income streams — making content, selling crafts, freelancing on platforms — compared to just 21 percent of Baby Boomers. The one-employer career is becoming optional.

Here is the ironic twist. Gen Z is also the generation most likely to be using AI agents, building side projects with large language models, and entering the workforce with more AI literacy than their managers. Over 61 percent of Gen Z freelancers already use generative AI in their daily work.

The sentiment shift is real, though. Gen Z excitement about AI collapsed from 36 percent to 22 percent in a single year. Anger rose from 22 to 31 percent. It is hard to stay enthusiastic about the technology that just ate your job prospects.

If you run a small business or manage a team, expect the talent market to look different. Younger candidates may come in with strong AI skills but without traditional corporate experience. They may also prefer contract work over full-time offers. Hiring strategies from three years ago may need a rethink.

The bigger takeaway is uncomfortable but worth sitting with. AI is not just changing how we work. It is changing whether certain kinds of work exist at all. The career ladder most of us climbed — start at the bottom, prove yourself, move up — is being rewritten in real time. What replaces it is still an open question.