Job hunting has become an AI arms race. Candidates use assistants to tailor resumes and draft cover letters in minutes. Employers, flooded with applications, use AI to screen and rank them. Both sides benefit from the speed, and both risk losing the human judgment that makes hiring work.
For candidates: using AI well
AI is excellent at matching your real experience to a job description. It can highlight relevant skills, suggest keywords and tighten bullet points. What it must never do is invent experience, qualifications or results, because anything on your application can come up in an interview or background check.
Recruiters report seeing large numbers of generic, AI-polished cover letters. To avoid sending another one, give the assistant specific stories and details from your own career, then edit the draft so it sounds like you.
Before applying, you can use AI to summarize a company’s public information and prepare thoughtful questions. Verify key facts on the company’s own site.
It’s also a good interview partner. Ask an assistant to run a mock interview for the specific role, push with follow-up questions and give feedback on your answers. Voice mode makes this feel closer to the real thing.
Prompt for resume tailoring Here is my resume and a job description. Suggest how to reorder and reword my existing experience to match the role. Do not add any skills or achievements I have not listed. Flag any requirements I do not appear to meet.
For employers: using AI responsibly
AI can help recruiters write clearer job descriptions, schedule interviews, answer candidate questions and summarize applications. Screening and ranking candidates is more sensitive.
AI trained on past hiring decisions can reproduce historical biases. A well-known example is Amazon’s experimental recruiting tool, which the company reportedly abandoned years ago after finding it penalized resumes associated with women (AI Incident Database).
Regulators have noticed. Hiring AI is considered high-risk under the EU AI Act, and New York City’s Local Law 144 has required bias audits and notice to candidates for certain automated employment decision tools since July 2023. Other US states have introduced rules. After the EU’s 2026 amendments, the Act’s high-risk requirements for stand-alone systems such as hiring AI apply from December 2027.
Keep people responsible for final hiring decisions, make sure qualified candidates aren’t filtered out by rigid keyword matching, and tell candidates when AI is part of the process.
Our AI policy guide can help set internal rules.
For both: the authenticity problem
When everyone uses AI to polish applications, polish stops being a signal. Employers increasingly value evidence that is hard to fake: portfolios, work samples, references and live conversations. For candidates, that means your real accomplishments and how you talk about them matter more, not less.
Honesty on both sides
For job seekers, AI is a powerful editing and practice tool, as long as everything it helps you say is true. For employers, it can speed up the process, but decisions about people deserve human judgment, fairness checks and transparency.
Sources
- Incident 37: Amazon’s Experimental Hiring Tool Allegedly Displayed Gender Bias in Candidate Rankings, AI Incident Database
- Automated Employment Decision Tools, NYC Department of Consumer and Worker Protection
- Regulation (EU) 2024/1689 (Artificial Intelligence Act), EUR-Lex
- EU AI Omnibus enters into force, amending the AI Act, White & Case, July 2026
Related reading: which tasks AI is actually changing.
