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AI Entry-Level Jobs: Will AI Take My Kid's First Job?
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AI Entry-Level Jobs: Will AI Take My Kid's First Job?

AI entry-level jobs in plain numbers: young workers in AI-exposed roles are 19% below trend, yet exposed jobs grew overall. Who's hit, and what skills last.

Employment for 22- to 25-year-olds in the occupations most exposed to AI is about 19% below where it would be if it had kept pace with less-exposed peers. That’s the August 2026 update of a Stanford Digital Economy Lab working paper by Erik Brynjolfsson, Bharat Chandar and Ruyu Chen, using payroll data on millions of US workers. Experienced workers in the same jobs show no comparable gap.

The same paper finds “no evidence of widespread, economy-wide job displacement.” Both things are true, and that’s the real story of AI entry-level jobs in 2026. The squeeze is narrow, it falls on the first rung of the ladder, and it depends on how AI is used in a job. This article lays out the numbers, who’s most affected, and what the data say about which skills hold value for kids who are 8, 12 or 16 today.

Key Takeaways

  • Young workers (22 to 25) in AI-exposed occupations are about 19% below trend, mainly because of reduced hiring, not layoffs (Stanford working paper, August 2026).
  • Declines concentrate where AI substitutes for tasks; where AI complements workers, employment is flat or rising.
  • Pew found employment in the most AI-exposed occupations has grown overall, but much more for men than women, and women without degrees saw declines.
  • Around seven in ten US adults expect AI to mean fewer jobs over 20 years, and 48% of young workers say AI’s risks at work outweigh its benefits.
  • Employers rank analytical thinking as the top core skill, and expect AI literacy, creative thinking, resilience and curiosity to grow in importance.

AI Entry-Level Jobs: What the Squeeze Looks Like in Numbers

The entry-level squeeze is the slowdown in hiring of young, early-career workers into occupations where AI can do much of the work. The best current evidence comes from three sources.

Stanford’s payroll data. The Digital Economy Lab working paper, “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence,” uses ADP administrative payroll records through June 2026. Its findings:

  • No widespread, economy-wide displacement.
  • For workers aged 22 to 25 in AI-exposed occupations, employment is 19% below where it would be had it kept pace with less-exposed peers. The gap has widened since the authors first documented it in August 2025.
  • The mechanism is mainly fewer young hires, not more people being let go.
  • Declines are concentrated where AI mainly substitutes for human tasks. Where AI mainly complements workers, employment is flat or rising, especially for experienced workers.

The authors call these “early, descriptive indicators” rather than causal estimates. The pattern holds when excluding tech firms, but it weakens when controlling for education, and some trends predate generative AI. It’s a working paper, not peer-reviewed.

Pew’s government-data analysis. Pew’s October 2026 analysis of Current Population Survey data, comparing 2017–19 with January 2023 to June 2026, found that “employment in occupations that are the most exposed to AI has grown, not shrunk.” But the growth was uneven. For each one-point rise in an occupation’s AI exposure score, men’s employment grew 6.3% while women’s barely changed (0.2%). Among workers with a high school diploma or less, men’s employment rose 8.8% per exposure point while women’s fell 9.5%. Among bachelor’s degree holders, there was no meaningful gender gap. Pew cautions that the relationship “is not necessarily direct.”

What people expect. Pew’s September 2026 survey of 42,151 adults found that in 34 of 37 countries, people tend to expect AI to mean fewer jobs rather than more. In the US, around seven in ten expect job loss over the next 20 years, up 7 points in two years. And in Gallup’s 2026 survey of 14- to 29-year-olds, 48% of young workers said AI’s risks at work outweigh its benefits, against 15% who said the opposite.

Who It Hits

GroupWhat the data showSource
Workers 22–25 in AI-exposed jobs~19% below trend employment, mainly fewer hiresStanford working paper, Aug 2026
Experienced workers in the same jobsNo comparable gapStanford
Jobs where AI substitutes for tasksDeclines concentrated hereStanford
Jobs where AI complements workersFlat or rising employmentStanford
Men in AI-exposed occupationsEmployment grew 6.3% per exposure pointPew, Oct 2026
Women without a degree in AI-exposed jobsEmployment fell 9.5% per exposure point (high school or less)Pew
Bachelor’s holdersNo significant gender gapPew
Clerical and data-entry rolesExpected to see the largest declines by 2030WEF Future of Jobs 2025

The World Economic Forum’s Future of Jobs Report 2025, based on employer surveys, expects clerical and secretarial work, including cashiers, administrative assistants and data-entry clerks, to see the largest absolute declines by 2030. It also projects 170 million jobs created and 92 million displaced globally over 2025–2030, a net gain of 78 million. Those are employer forecasts, not measurements.

What the Data Say About Skills That Hold Value

The most useful finding for parents is Stanford’s split between substitution and complement. Entry-level jobs aren’t disappearing uniformly. They’re shrinking where a new hire’s main tasks can be handed to AI, and holding up where AI makes a person more productive.

That suggests two kinds of skills matter.

Skills AI doesn’t easily substitute for. The WEF report found analytical thinking is the most sought-after core skill, with seven in ten companies calling it essential in 2025, followed by resilience, flexibility and agility, and leadership and social influence. Creative thinking and “curiosity and lifelong learning” are expected to keep rising. Manual dexterity, endurance and precision are expected to decline in demand.

Skills that make a worker better with AI. “AI and big data” top the WEF’s fastest-growing skills, followed by networks and cybersecurity and technological literacy. Gallup found 48% of Gen Z students expect to need AI skills in their careers, and 52% for college.

The two aren’t opposites. A young accountant who can check AI’s output, explain it to a client and catch its mistakes is in the “complement” category. One whose job is producing the first draft the AI can now produce is in the “substitute” category. Our look at why entry-level jobs are disappearing goes deeper on that shift.

What It Means at Each Age

For kids 8 to 11

The job market these kids enter is a decade away, and forecasts that far out are guesses. What transfers is the habit of thinking things through, explaining reasoning and building things with their hands and heads. Let them struggle productively before reaching for any tool.

For kids 12 to 15

This is when “AI literacy” becomes concrete: using AI to check work, spotting its mistakes, knowing when not to use it. It’s also when the Pew gender data are worth discussing with daughters considering clerical or customer-service paths, without steering anyone away from what they love.

For teens 16 and up

Internships, part-time jobs and projects that show judgment matter more if entry-level hiring is tighter. A portfolio of real work, including work done with AI and explained without it, says more than a credential alone. Our guide to the 2035 job market for entry-level workers covers longer-range scenarios.

What to Do at Home

Talk about it honestly, without doom

Older teens are already worried: Pew found 55% of US adults 18 to 34 are more concerned than excited about AI. Acknowledge the data, including the part where exposed occupations grew overall. Uncertainty is real, and so is opportunity.

Value judgment over output

Praise your kid for explaining why an answer is right, not just for having it. That’s the skill employers say they need most, and the one AI substitutes for least.

Encourage work that involves people

Roles that complement AI often involve clients, patients, students or teams. Volunteering, coaching younger kids and customer-facing part-time work build those muscles.

Teach “use it, check it, explain it”

Whatever AI tools your teen uses, the habit of verifying and explaining output is what turns AI from a replacement into an assistant.

What not to do

Don’t pick a “safe” career for your child based on one study. The data are early, descriptive and shifting. Our piece on Gen Z’s growing anger at AI shows how much the mood can move in a single year.

What to Watch For Over the Next 3 Months

  • Week 4: Ask your teen what jobs they think AI will change. Their answer shows what they’ve absorbed from friends and feeds.
  • Month 2 red flags: Your teen talks about giving up on a field because “AI will do it,” without looking at what people in that field actually do.
  • Month 3 self-check: Has your teen done one thing this term, a project, job or volunteer role, that builds judgment or people skills? Watch for the next Stanford update; the gap has widened each time so far.

Frequently Asked Questions

Is AI taking entry-level jobs?

Partly. A Stanford working paper updated in August 2026 found employment for 22- to 25-year-olds in AI-exposed occupations about 19% below trend, mainly through reduced hiring, while finding no evidence of economy-wide displacement. Pew found employment in the most AI-exposed occupations grew overall.

Which entry-level jobs are most at risk from AI?

Jobs where AI can substitute for most core tasks: Stanford found declines concentrated there. Employers surveyed by the World Economic Forum expect the largest declines in clerical roles such as administrative assistants, data-entry clerks, cashiers and bank tellers by 2030. Jobs where AI assists workers have held up better.

Are women more affected by AI job changes?

Pew’s October 2026 analysis found men’s employment grew much more than women’s in AI-exposed occupations. Among workers with a high school diploma or less, women’s employment fell 9.5% per point of AI exposure while men’s rose 8.8%. Pew notes the link isn’t necessarily direct.

What skills should my kid build for an AI economy?

Employers rank analytical thinking as the top core skill, followed by resilience and flexibility, and expect AI literacy, creative thinking and curiosity to grow. Practically, that means reasoning, explaining, working with people and checking AI output rather than just producing it.

Should my teen avoid fields exposed to AI?

Not necessarily. Pew found exposed occupations grew overall, and Stanford found jobs where AI complements workers holding steady or rising. Exposure matters less than whether a role uses AI to replace a new hire’s tasks or to make a person more productive.


About the author

Ricky Flores is the founder of HiWave Makers and an electrical engineer with 15+ years of experience building consumer technology at Apple, Samsung, and Texas Instruments. He writes about how kids learn to build, think, and create in a tech-saturated world. Read more at hiwavemakers.com.


Sources

  1. Brynjolfsson, E., Chandar, B., & Chen, R. (2025, revised 2026, August 12). “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence.” Stanford Digital Economy Lab (working paper). https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/
  2. Smith, N. (2026, October 22). “Men Are Experiencing More Job Growth Than Women in AI-Exposed Occupations.” Pew Research Center. https://www.pewresearch.org/short-reads/2026/10/22/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations/
  3. Silver, L., Wike, R., Fagan, M., & Lippert, J. (2026, September 17). “Globally, More People Expect AI to Cause Job Loss Than Growth.” Pew Research Center. https://www.pewresearch.org/global/2026/09/17/globally-more-people-expect-ai-to-cause-job-loss-than-growth/
  4. Gallup, Walton Family Foundation, & GSV Ventures. (2026). “Voices of Gen Z: The AI Paradox.” Gallup. https://www.gallup.com/file/analytics/708176/Gallup_WFF_GSV_Report.pdf
  5. World Economic Forum. (2025). “The Future of Jobs Report 2025.” WEF. https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/
Ricky Flores
Written by Ricky Flores

Founder of HiWave Makers and electrical engineer with 15+ years working on projects with Apple, Samsung, Texas Instruments, and other Fortune 500 companies. He writes about how kids learn to build, think, and create in a tech-driven world.