AI Job Risk Score 2026: What the Layoff Data Says About Your Career

# AI Job Risk Score 2026: What the Layoff Data Says About Your Career

> **Quick answer:** Your AI job risk score is determined by five factors — task automation potential, skill replaceability, human judgment requirement, career pivot potential, and employer AI adoption stage. The four score profiles are Safe Harbor (structurally protected), Moderate Watch (manageable exposure), High Risk (significant vulnerability), and Already in the Crosshairs (active displacement window). Take Fizzty's [AI Job Risk Score Quiz](/quiz/ai-job-risk-score-quiz) to find your personal profile.

78,557 tech workers lost their jobs in Q1 2026. Nearly half — 47.9%, or approximately 37,638 positions — were explicitly attributed to AI-driven automation and workflow restructuring. On the same week those numbers were released, the S&P 500 hit record highs. That gap between market performance and worker reality is not a glitch. It's the central economic fact of the current AI transition.

This article breaks down what a rigorous AI job risk score actually measures, why generic "which jobs are safe" lists miss the point, and what the Q1 2026 layoff data tells us about which workers are most exposed — and what to do about it.

## The Problem with Generic AI Job Risk Lists

Search "will AI take my job" and you'll find endless lists ranking occupations by automation risk. Data entry clerk: 99%. Surgeon: 3%. These are useful as rough orientation, but they obscure the most important variable: where you personally sit within your role.