The Signal Problem (AI-Enhanced Candidates)
AI has made it structurally easier to appear competent than to be competent. These articles explore the gap between claimed AI skills and actual AI judgment, and what recruiters can do about it.
The Recruiter's Dilemma: When Every Application Looks Perfect
When AI makes every application look polished, recruiters lose the signals they depend on. Here's how the profession adapts when perfection becomes the default.
Red Flags in AI Readiness: 5 Patterns That Predict Poor AI Judgment
Five observable patterns that predict poor AI judgment in candidates and employees. Know the red flags before they become costly mistakes.
Beyond the Resume: How Scenario-Based Assessment Reveals Real AI Judgment
Scenario-based assessment reveals what resumes, interviews, and self-reports cannot: whether a candidate can actually exercise judgment when working with AI.
What 'I Use ChatGPT' Actually Tells You About a Candidate (Not Much)
When a candidate says 'I use ChatGPT,' it tells you almost nothing about their AI readiness. What the data shows about typical AI use, and why it's not a hiring signal.
AI Has Made It Easier to Appear Competent Than to Be Competent
AI lets anyone produce polished output. That makes the gap between appearing competent and being competent wider, and harder to detect, than ever.
How to Spot an AI-Enhanced Resume (And Why It Doesn't Matter)
Trying to detect AI-generated resumes is the wrong approach. Here's why detection fails and what to measure instead when every application looks polished.
55% Use AI Weekly. Less Than 3% Go Beyond Basic Prompting. Here's How to Close the Gap.
Most candidates claim AI skills. Few can demonstrate AI judgment. The data on the gap between claimed and actual AI readiness, and how to close it.
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