Task Automation Analysis of Labor Statistics and O*Net Jobs Data

Name: Task Automation Analysis of Labor Statistics and O*Net Jobs Data
Availability: InStock
Author: Falimonda

by Falimonda·Feb 17, 2026·1 point·0 comments

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AI Analysis

●●SolidSolve My ProblemBig Brain

Task-level automation scoring; Career GPS navigation; real-time layoff pipeline tied to specific roles.

Strengths

•Task-level decomposition (not just "AI will replace X") with published government data—grounds speculation in measurable labor statistics.
•Career GPS stepping-stone mapping is genuinely useful for someone mid-market transition—actionable, not just risk scores.
•Daily news pipeline linking AI announcements to specific job categories adds real-time relevance that static tools miss.

Weaknesses

•Automation risk scoring methodology opaque; unclear how BLS task data + O*NET maps to actual LLM capability—could be overconfident in predictions.
•Competes with LinkedIn Career Path, Burning Glass automation indices, and generic "AI job impact" articles; differentiation relies on novelty rather than superior accuracy.

Post Description

I've built my own take on a job market and career intelligence tool. Instead of generic "AI will replace X jobs" articles, it analyzes 700 odd U.S. occupations at the task level breaking down exactly which parts of a job are automatable and why - all seeded from government-reported data.

What it does that other tools don't is give you a way forward to navigate the job market. There's a Career GPS that maps stepping-stone paths between your current role and a safer target, as well as a resume x JD analyzer.

It also tracks real-time layoff events and runs a daily news pipeline that links AI developments back to specific occupations.

You can check it out at https://www.jobs.voxos.ai/