We analyzed how 465 workers talk about AI replacing their jobs.
We found something no one expected.
The patterns were hidden in plain sight.
13 intelligence engines
predict displacement
BEFORE the economics do.
Worker sentiment language correlates with job displacement risk
Enter the Atlas
Explore the stories behind the numbers
How AI Is Reshaping Every Job
UNA tracks 40 occupations across 17 sectors and 8 global regions. Explore who's at risk, who's preparing, and what you can do about it.
📊 Exposure Atlas
22 core occupations analyzed for AI risk, operational sensitivity, governance needs, and deployment readiness. Click any card for full career advice.
⚠️ AI Readiness Intelligence
How well are individuals, businesses, governments, and society preparing for AI? Spoiler: the global score is an F.
📈 Economic Displacement Projections
10-year forecasts at Dario Amodei scale. How many workers will be affected, where, and what policy scenarios could change the outcome.
🔍 Emerging Jobs Scanner
UNA continuously discovers new occupations affected by AI beyond the core 22. Covering every socioeconomic level globally.
🎙️ Worker Stories
Real people. Real impact. Verified first-person accounts from workers experiencing the AI transition.
📜 Intelligence Reports
Long-form investigative reports generated by UNA from live data. Click any report card to generate it.
⚙️ Workflow Transition Analysis
Step-by-step AI transition planning for business processes, with governance checkpoints and scenario modeling.
🧬 Causal Displacement Engine
Pearl's do-calculus applied to AI workforce displacement. Not correlations — actual causal mechanisms, interventions, and counterfactuals.
🧠 Active Inference Early Warning
Free Energy Principle: the Atlas predicts labor dynamics and alerts when reality diverges from its generative model.
🌀 Budd Metastability Framework
Kuramoto synchronization models the workforce as coupled oscillators. Are sectors disrupting in sync (crisis) or staggered (manageable)?
💬 MorphoSyntax Narrative Intelligence
UNA's original LLM-free cognition engine stack — morphosyntax, causal inference, active inference, metastability, and more — applied to worker stories. Detects hidden signals across every dimension.
🧪 Prediction Validation Study
Live proof: UNA's multi-engine distress signals — from morphosyntax, causal modeling, active inference, and more — compared against real Bureau of Labor Statistics employment data. Do converging engines predict displacement?
Running validation study (fetching BLS data + scraping narratives + analyzing)...
🎯 Personal Risk Alert
Enter your occupation and sector to get a personalized AI displacement risk assessment. Combines UNA's 13 intelligence engines — morphosyntax, causal modeling, active inference, quantum coherence, and more — with BLS economic data.
Ready. Enter your occupation above and click "Assess My Risk".