AI Broke Your Hiring Signals (You Just Haven’t Noticed Yet)
LLMs made polished take-homes and portfolios easier to fake, which breaks many old hiring signals.
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How to recognize analytical ability, evaluate real thinking, and rethink hiring in the age of AI.
For managers and educators who want to understand the thinking behind a polished answer.
Reading guide
An attractive résumé, a clean query, and a polished answer are observations. None alone establishes analytical judgment. These essays examine the proxies used in data hiring and how AI changes what you can infer from a candidate’s output.
Start with the gap between the hiring process and the analyst’s actual work.
Identify the proxies that are being mistaken for direct evidence.
Examine what polished submissions mean when AI can help produce them.
Pressure-test a popular shortcut: judging competence from punctuation.
Read the January 2023 perspective on the shift in take-home assessments.
Pick one criterion in your hiring rubric. Describe the behavior it is meant to predict and ask what evidence a candidate could provide that would actually change your mind.
LLMs made polished take-homes and portfolios easier to fake, which breaks many old hiring signals.
Read the essayMany analyst hiring processes still reward presentation polish and credential proxies over analytical judgment.
Read the essayThe resume is a noisy proxy for competence, and teams confuse that proxy with evidence of actual analytical ability.
Read the essayCan em dashes reveal AI-written text or a candidate’s ability? Tal Mizrachi examines punctuation, superficial signals, and bad hiring conclusions.
Read the essayA January 2023 perspective on ChatGPT, technical take-home tests, and why hiring teams need to assess analytical ability beyond working code.
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