Tools, trust and a better start · 5 min read

Entry-level jobs and AI: how to get experience when nobody will hire you

Entry-level hiring is changing. Learn what the evidence actually shows and build a credible work sample without waiting for a first full-time job.

Written by Nivaan, founder of OffLadder · Last reviewed 10 October 2026 · Sources listed at the foot of this page

What the studies say, and what they do not

Stanford's revised 2026 research found a 19% relative employment gap for young workers aged 22-25 in highly AI-exposed US occupations compared with a path based on less-exposed peers. The authors stressed that these were early, descriptive indicators rather than causal proof. They did not find economy-wide displacement on the same scale. Meanwhile, Indeed found renewed demand in some software postings but with much of the growth concentrated in senior roles. The lesson for a new entrant is to investigate a specific occupation and local market, not take one dramatic headline as a universal forecast.

Show how you work, not just what you studied

A project with a real user, a short paid assignment or a properly completed job simulation can all give you something concrete to discuss. Forage offers free, self-paced employer simulations. Parker Dewey lists paid micro-internships, subject to selection and eligibility. A simulation is practice, not the same as employment. Be accurate about which you completed. Choose a small problem with an observable result. A spreadsheet that helps a community group track donations, a researched accessibility report, a short market brief or a redesigned volunteer sign-up can all show judgement if someone actually uses the work and you respond to feedback.

Getting experience is harder when the first rung changes

Entry-level work traditionally includes tasks that help you become useful: drafting basic documents, fixing small bugs, preparing reports or answering routine questions. Those tasks can now be assisted by AI, which raises a genuine concern about how new workers acquire judgement. That does not mean every graduate role is disappearing. The impact depends on the occupation, employer, local economy and whether AI replaces tasks or helps a worker do more.

The Stanford research cited here found weaker employment outcomes for younger workers in highly AI-exposed US occupations in its studied period. That is serious evidence to consider, but the study alone cannot prove the exact cause of every employment change or describe every country's graduate market. Do not tell a graduate that their degree has become worthless. Ask what kinds of evidence employers now want to see and how to build them without pretending to have held a job.

Make work that someone else uses

A personal project is stronger when there is a real audience, a real constraint and feedback that can change the output. A marketing graduate might help a local nonprofit explain an event and measure registrations. A data graduate might build a clean, documented analysis from public data and ask a practitioner to challenge its assumptions. A computing graduate might improve a small open-source issue and record tests. Keep private information out of public repositories and AI prompts.

Your portfolio page should answer six questions: What problem were you given? Who cared about it? What did you build or decide? Where did you use AI, if at all? What went wrong? What changed after feedback? Avoid describing a classroom mock-up as client work. Precision is more impressive than pretending to have more experience than you do.

Find routes where feedback is real

Employer job simulations, short paid projects where eligible, supervised volunteering, student consulting groups and internships can all provide different levels of work contact. A simulation can teach the shape of a task but does not prove you can work with a team under deadlines. A volunteer project can involve real consequences but may lack structured mentoring. A micro-internship may supply a client and a deadline, though access and pay conditions depend on the programme. Treat each as one evidence source, not a credential that automatically unlocks a job.

Compare three roles that interest you by doing one small task in each. Then ask one person with hiring experience which sample demonstrates a skill their team pays for. If the answer is 'none yet', ask what is missing and revise the sample. That is how you move from being merely enthusiastic to becoming legibly useful.

Where OffLadder fits

OffLadder can help graduates stop treating the first job title as an irreversible identity. Explore offers possible directions and tasks to test; Laddie can help plan the next attempt; You keeps the evidence from what you made and learned. Begin at https://offladder.com/, choose one direction and complete something concrete before opening your twentieth generic application tab.