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Is AI Taking Entry-Level and White-Collar Jobs?

What the research says about AI and entry-level jobs: which tasks are exposed, what is still unproven, and how to show real skills on your resume.

ResumeFast Team

ResumeFast Team

The team behind ResumeFast

··Updated October 6, 2026·7 min read
Is AI Taking Entry-Level and White-Collar Jobs?

AI has not eliminated entry-level jobs, but there is credible evidence that early-career workers in the most AI-exposed occupations are getting hired less than their peers. A Stanford study of payroll data found a relative employment decline for workers aged 22 to 25 in those occupations, and the authors call it an early signal, not proof of cause. Nobody can honestly give you an exact timeline for which roles disappear, so be wary of any article that does.

What you can do is read the evidence, understand which tasks are exposed, and build a resume that proves the judgment AI does not supply.

What the evidence says

Early-career workers in exposed jobs. In Canaries in the Coal Mine? (Brynjolfsson, Chandar and Chen, Stanford Digital Economy Lab, revised August 2026), ADP payroll records show employment for workers aged 22 to 25 in AI-exposed occupations falling about 19% relative to workers in less-exposed occupations. The authors describe this as descriptive, not definitive causal evidence.

Which tasks are exposed. In GPTs are GPTs (Eloundou et al., OpenAI and University of Pennsylvania, 2023), the authors estimated that about 80% of U.S. workers could have at least 10% of their tasks affected by large language models, and about 19% could have at least half of their tasks affected. The most exposed jobs were information work, not manual work. "Exposed" means the technology could speed up tasks, not that the job disappears.

What entry-level graduates face. The New York Fed's recent-graduate labor market tracker showed an unemployment rate of about 5.6% and an underemployment rate of about 42% for graduates aged 22 to 27 in the second quarter of 2026. The page updates quarterly and does not attribute the numbers to AI. Weak hiring has several causes, including interest rates and the post-pandemic hiring cycle.

The bigger picture. The World Economic Forum's Future of Jobs Report 2025 projects that 170 million jobs will be created and 92 million displaced worldwide by 2030, a net gain. Net gains still mean real transitions for individuals.

Where demand is growing. The Bureau of Labor Statistics fastest-growing occupations list for 2025 to 2035 is led by nurse practitioners (41%), solar installers, data scientists and wind turbine technicians, and healthcare fills much of the rest.

What is not proven

  • Cause. Falling entry-level hiring has other explanations, and researchers disagree on how much is AI.
  • Timing. No credible source dates when a given job disappears.
  • Which junior tasks vanish. Summarizing, first drafts, scheduling and basic analysis are the tasks the exposure research points at. Whether an employer drops the job or changes it varies.

Which tasks are exposed, and what stays human

Instead of asking "is my job safe," look at your tasks.

More exposed to AI helpLess exposed
Summarizing documents and researchJudging what matters in ambiguous situations
First drafts of copy, emails, reportsPersuading, negotiating, building trust
Routine data cleaning and basic analysisDeciding what to analyze and what to do with it
Scheduling, note-taking, simple correspondenceWork that needs physical presence or hands-on skill

If most of your day is in the left column, learn to direct and check AI work in that column, and add evidence from the right one. That is the same advice we give in AI-resistant skills to put on your resume.

How to build a resume when junior roles are scarce

Show demonstrated ability, not just titles

If you lack experience, show proof. Compare:

Employment entry (weak):

Marketing Intern, Company X, Summer 2025

  • Supported social media campaigns
  • Assisted with content creation

Project entry (stronger, example with invented numbers, use your own):

Personal marketing project, 2025

  • Grew a newsletter on [topic] from 0 to 400 subscribers in 5 months with weekly posts and two guest swaps
  • Tracked open and click rates in a spreadsheet and changed subject lines after three weak issues

The second tells a hiring manager what you did, how you measured it and what you changed. Put projects in a projects section, with real numbers only.

Create evidence for the skills you claim

  • Writing: a few published pieces, with links.
  • Data: an analysis of a public dataset, with your method documented.
  • Design: one case study that shows your process.
  • Code or tech: a repository that runs, with a readme.

None of this pretends you had a job you did not have. It shows you can do the work.

Use AI openly and specifically

"Used AI tools" says nothing. A bullet that says what you did with them, how you checked the output and what changed is a signal. Do not claim productivity gains you did not measure. Our guide on how to use AI to write your resume covers the editing side, and can employers tell you used AI covers what recruiters notice.

Freelance and contract work counts

Even a few real client projects are experience: they show you deliver to someone else's standard. List them as you would any role, with the client type, what you delivered and the result.

Target employers who hire for potential

Small companies, agencies and contract-to-hire roles often have looser requirements than large corporate postings. A message to a hiring manager there often gets more attention than another application into a pile of hundreds, as covered in the hidden job market.

A one-week plan

  1. Days 1 and 2: list the skills your target role needs and the evidence you have for each.
  2. Days 3 and 4: pick one skill with weak evidence and design a small project with a measurable outcome.
  3. Days 5 and 6: do the project and write it up with real results.
  4. Day 7: pick 10 small companies, find the hiring manager for each, and draft a specific note about their work.

For a full new-graduate resume walkthrough, see the new graduate resume guide, and for how the degree itself fits in, read is a college degree still worth it for the job market.

More on running the whole search is in the job search strategy guide.

Frequently Asked Questions

Is AI taking entry-level jobs?

There is evidence that employment for workers aged 22 to 25 in the most AI-exposed occupations has fallen relative to less-exposed occupations (Stanford Digital Economy Lab, ADP payroll data), but the authors say it is descriptive, not proof of cause. Entry-level jobs have not disappeared, and weak hiring has other causes too.

Which entry-level jobs are most exposed to AI?

Research on task exposure points to information work such as summarizing, drafting, routine analysis and administrative support. Exposure means AI can speed up tasks. It does not mean the job vanishes, and no credible source can give you a date.

What should new graduates put on a resume with no experience?

Projects with real, measurable outcomes, freelance or volunteer work, relevant coursework only when it adds proof, and a specific description of how you use AI tools. Use only numbers you can back up.

Will AI replace white-collar jobs?

It will change many of them. The World Economic Forum projects 170 million jobs created and 92 million displaced worldwide by 2030, but your own role depends on its tasks. Look at which tasks in your job AI already speeds up, and build skills in the ones it does not.

Put your proof on one page

Build a resume around your projects and results in the ResumeFast builder, then check it with the free ATS checker. Building and editing are free, and your first PDF or Word download is free (once per account). After that, PDF and Word need Pro at $6.95 a month, billed monthly, cancel anytime. Plain text (.txt) downloads are always free.

ResumeFast Team

ResumeFast Team

The team behind ResumeFast

The team that builds ResumeFast's resume templates and ATS checker and writes its expert reviews..

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