Job Extinction Index – automation risk scores for 700 U.S. occupations

Name: Job Extinction Index – automation risk scores for 700 U.S. occupations
Availability: InStock
Author: Falimonda

by Falimonda·Feb 12, 2026·1 point·0 comments

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AI Analysis

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Task-level automation risk scores for every U.S. job, grounded in BLS and O*NET.

Strengths

•Rigorous data foundation: task-level granularity using O*NET beats hand-wavy automation anxiety; confidence intervals per task are credible.
•Thoughtful feature set: news aggregation linking real developments (e.g., GPT-4 release) to affected occupations adds dynamic context.
•Prediction market is a clever engagement mechanism that forces users to commit predictions, generating behavioral data on consensus risk perception.

Weaknesses

•High-risk scoring methodology not fully transparent (algorithm for combining task scores into occupation scores unclear from description).
•Primarily informational; no actionable guidance on retraining or career pivots—essentially a dashboard without downstream utility.

Post Description

I work in robotics, so I think about automation's impact on jobs a lot. What does task-level automation actually look like across occupations? Which tasks are genuinely susceptible and which ones aren't? Do certain jobs have a future extinction date? I'm building a platform to answer these questions in real time.

Job Extinction Index (https://jobs.voxos.ai) breaks down ~700 U.S. occupations using BLS employment data and O*NET task data. Each occupation gets a risk score based on analysis of its individual tasks. You can drill into any occupation and see which specific tasks are automatable, by what method (AI, robotics, software), and at what confidence level.

There's also a news aggregator that links AI/automation developments to specific occupations, monthly trend reports, and a play-money prediction market if you want to put your intuitions to the test.

If this kind of granular data is useful to you — whether you're thinking about a career change, working in workforce policy, or just curious — I'd like to hear about it. There's no way to stop automation, but understanding it at the task level is how people and governments can stay ahead of it.