AI now appears on both sides of the hiring table. Employers use software to organize and screen applications, and job seekers use AI to draft and edit them. This page sticks to what is documented about each side.
What employer systems are documented to do
Workday describes an applicant tracking system as a central database for candidate information (Workday). Beyond that, behavior depends on the vendor and on how each employer configures it. Vendors document the variation. Greenhouse says that when a resume cannot be parsed, it can stay attached to the candidate record and the recruiter enters the details manually (Greenhouse Support). Workday notes that parsing "results can vary based on resume format and order of words" (Workday Documentation). Greenhouse also lets an employer configure automatic rejection based on an applicant's answer to a specific application question (Greenhouse Support). These are examples from two vendors, not a description of every ATS or every employer.
Practical takeaways
- Use a simple layout and conventional section headings, since parsing results can vary with resume format.
- Answer application questions accurately, because an employer may build rules on them.
- Mirror the posting's wording only where it truthfully describes your experience.
How job seekers use AI
Common uses include tightening bullet points, drafting cover letters and practicing interview questions. Use AI as a tool, not a replacement: your own voice and real experience should be the foundation. Harvard career services suggests treating generated text as a suggested edit and verifying it (Harvard Mignone Center).
On the research side, a field experiment with nearly half a million jobseekers on one online labor platform found that those given algorithmic writing assistance were hired about 8% more often (van Inwegen, Munyikwa and Horton). That result is specific to that platform and to writing help; it is not a test of ATS optimization.
FilteredIn's resume check
FilteredIn's free resume check lets you paste or upload a resume (PDF or TXT) and, optionally, a job description. It returns feedback on content and keywords. A score is product feedback to help you revise; it is not a prediction of any employer's ATS or hiring decision. Try the free resume check.
The ethics question: is using AI to optimize your resume cheating?
It depends on what you do with it. There is a clear line between optimization and fabrication.
| Optimization | Fabrication |
|---|---|
| Matching your real skills to job description language | Claiming skills or certifications you do not have |
| Improving bullet point clarity | Inventing achievements or metrics |
| Fixing formatting so it reads cleanly | Adding fake job titles or employers |
| Identifying keyword gaps you can genuinely fill | Stuffing invisible keywords |
Also check the employer's rules. Some restrict AI use: NIST's resume tips, for example, tell applicants not to use AI-generated, plagiarized or recycled content (NIST Careers). That is one employer's policy, not a universal rule.
The bottom line
AI can help you present your real experience more clearly. It cannot guarantee interviews, and no tool can tell you exactly how a particular employer's system will treat your application.
Sources
- Workday, Applicant tracking system overview
- Greenhouse Support, Unsuccessful resume parse
- Greenhouse Support, Auto-reject
- Workday Documentation, Concept: Resume Parsing
- Harvard FAS Mignone Center for Career Success, AI, resumes and cover letters
- van Inwegen, Munyikwa and Horton, algorithmic writing assistance field experiment (arXiv:2301.08083)
- NIST Careers, Application tips: resume tips