Write a Killer Résumé in the AI Era: 5 New Rules!

About this video

Jeff says resumes still matter in the AI era but the rules have changed, based on his analysis of hiring reports and studies from institutions like MIT and Oxford covering more than 4,000 hiring managers and nearly 2 million applications. A resume must pass two stages: the AI that reads, ranks and organizes applications, and the human — he notes only 6% of hiring managers say AI is the decision-maker. Five findings drive five rules. One, 87% of hiring managers say AI software reads simple, text-based resumes more accurately, so keep formatting boring: one column, conventional headings, no skill bars, export as selectable text PDF ideally below 2.5 MB. Two, tailored resumes saw 84% higher interview rates (5.71% vs 3.09% untailored), but resumes with the highest keyword coverage got 21% fewer interviews than moderate coverage — so do keyword mapping (using job-description language for work actually done) not keyword stuffing, using AI to identify problems and keywords, then keeping only what can be proved. Three, 59% of managers view candidate AI use positively but 28% reject AI-heavy, low-effort resumes; he cites an MIT experiment where AI help with spelling, grammar and wording raised hiring probability by 8%, and another where ChatGPT access made pitches more similar and reduced screening by up to 9%. His process: brain-dump raw facts first (result, your contribution, how), then have AI strengthen wording without changing facts. Four, quantified-impact resumes saw 75% higher interview rates; use AI to identify relevant metrics beyond revenue, then rewrite bullets with Google’s XYZ formula. Five, 60% of managers want proof of AI skills, not just listings; make an AI achievement the first bullet where relevant, or complete a small project, and link to a portfolio or Google Doc explaining it.

Key takeaways

• Keep resumes simple and text-based for AI parsing: one column, conventional headings, no skill bars, selectable-text PDF ideally under 2.5 MB
• Tailor by keyword mapping, not stuffing — tailored resumes had 84% higher interview rates, while highest keyword coverage performed 21% worse than moderate coverage
• Use AI thoughtfully: brain-dump your own facts (result, contribution, method) first, then let AI polish wording without changing facts; generic AI-heavy resumes get rejected
• Quantify impact using Google’s XYZ formula (accomplished X, measured by Y, by doing Z) — quantified resumes saw 75% higher interview rates
• Prove AI skills with evidence — a relevant AI achievement bullet, a small project, and a linkable portfolio — rather than just listing tools like ChatGPT

Episode details: published September 15, 2026 · 13:09 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Jeff Su’s own claims, shared for education — they are not typical or guaranteed.

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