Goldman Sachs Says AI Is Erasing 16,000 Jobs a Month. Here Is What Parent Entrepreneurs Should Do About It.

By BotAcademy Staff | April 2026

A new Goldman Sachs study puts a precise number on something most business owners have been sensing: AI is not just changing how work gets done — it is quietly eliminating jobs at scale, and the youngest workers are taking the hit first.

Key Takeaway

Goldman Sachs estimates AI is erasing roughly 16,000 net U.S. jobs per month — 25,000 substituted, 9,000 added back. Gen Z workers in routine white-collar roles are bearing the brunt. For parent entrepreneurs, this creates two immediate questions: How should I hire differently right now? And what does this mean for the career my kid is about to enter?

The Numbers, Kept Honest

Goldman Sachs economist Elsie Peng’s research, covered by Fortune, finds that AI is substituting roughly 25,000 jobs per month while augmentation creates back about 9,000 — a net loss of 16,000 per month. That sounds alarming until you add the broader context from a 750-CFO NBER survey: total projected AI-related job losses for all of 2026 are around 502,000 — roughly 0.4% of the 125 million roles in the U.S. economy. Significant, but not a collapse.

And not all of those layoffs are what they seem. OpenAI CEO Sam Altman has pointed out that “there’s some AI washing where people are blaming AI for layoffs that they would otherwise do.” Still, 78,557 tech workers were laid off in Q1 2026 alone, with 47.9% of those cuts attributed directly to AI and automation. That is a real number, not a rounding error.

Where the Pain Is Landing

The Goldman research is specific about who is getting hit: Gen Z workers in routine white-collar roles — data entry, customer service, legal support, billing, insurance claims. In AI-exposed occupations, the unemployment gap between workers under 30 and those 31-50 has widened sharply. A one standard-deviation increase in AI substitution exposure widens the entry-level-to-experienced wage gap by 3.3 percentage points. Translation: the jobs that used to be the on-ramp to a career are disappearing fastest.

High-substitution-risk roles include insurance claims clerks and bill collectors. High-augmentation-potential roles — where AI makes workers more valuable, not replaceable — include lawyers, construction managers, and physicians.

What This Means for Your Hiring

If you are a small business owner, this research actually hands you an advantage. The entry-level talent pool for AI-augmented roles is larger and more motivated than it has been in years, because traditional paths are narrowing. Consider what that means when you hire: a candidate who can use AI tools to do the work of two people at an entry-level salary is not a liability — that is leverage.

Practically: audit the roles you are hiring for. If a position is primarily routing, sorting, drafting form responses, or data entry, consider whether AI handles 60% of it already — and if so, hire for judgment and oversight, not task volume.

For Your Kids

If you have a teenager or young adult who is heading into the workforce, the Goldman data is worth a real conversation — not a scary one, but a practical one. The roles that historically absorbed new graduates (clerical, entry-level customer service, junior data roles) are the exact ones shrinking fastest. The good news: roles that pair human judgment with AI tools are growing. Help your kids ask a different question about their career path — not “what job do I want?” but “what problems do I want to solve, and how do I use AI to solve them faster than anyone else?” That framing changes everything.

Frequently Asked Questions

Should I stop hiring entry-level workers and just use AI instead?

Not quite. The most effective small businesses right now are using AI to handle volume work and hiring entry-level workers for judgment, client relationships, and quality oversight. Pure automation without human oversight creates brittle systems. Hire fewer people, but hire them for higher-leverage roles.

Is the 502,000 job loss projection this year as bad as it sounds?

In context, no. That is 0.4% of the total U.S. workforce, per the CFO survey data. It is, however, a 9x increase from the 55,000 AI-attributed layoffs in 2025. The rate of change is what matters — it is accelerating, and the workers least prepared for it are getting hit first.

What roles are actually growing because of AI?

The Goldman research highlights roles with high augmentation potential — positions where AI makes the worker more capable rather than redundant. Lawyers, construction managers, and physicians top that list. More broadly: any role where the output requires human accountability, client trust, or physical presence is relatively protected.

Sources

Fortune (Nick Lichtenberg, April 6, 2026) — Goldman Sachs research on AI job displacement and Gen Z impact: https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/

Tom’s Hardware / Nikkei Asia (April 8, 2026) — Q1 2026 tech layoffs, AI attribution, Sam Altman quote: https://www.tomshardware.com/tech-industry/tech-industry-lays-off-nearly-80-000-employees-in-the-first-quarter-of-2026-almost-50-percent-of-affected-positions-cut-due-to-ai

Fortune / NBER CFO Survey (March 24, 2026) — 750 CFOs, 502,000 projected job losses, 2025 baseline: https://fortune.com/2026/03/24/cfo-survey-ai-job-cuts-productivity-paradox-2026/