AI is good at three things on a resume: restructuring, compression, and keyword alignment. It is bad at inventing your accomplishments — and it shows immediately when it tries.
Where it wins: turning a paragraph of duties into tight verb-first bullets, cutting a two-page draft to one page without losing evidence, and rewriting the same resume for three different job descriptions in minutes instead of an evening.
Where it fails: when you give it nothing to work with. 'Worked in sales' produces generic filler no matter how good the model is. Feed it the numbers — deal sizes, growth, team size, timelines — and the output becomes specific.
The workflow that actually works: dump everything you did into the editor unpolished, let the AI rewrite it, then edit every line for truth. You are the fact-checker; the AI is the copy editor.
Then verify against a real posting with the ATS check. A resume that reads well but misses the role's core requirements still gets filtered.
Worth it? If you apply to more than a handful of roles, yes — mostly because tailoring stops being expensive. Tailored applications convert far better than one generic resume sent everywhere.