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— Stop Guessing About AI. Start Measuring.
You're making million-dollar decisions about AI and your workforce with vendor pitches and outdated reports. Cubit gives you real-time, task-level intelligence on 923 jobs—so you can invest in the right places and avoid expensive failures.
— Flying blind is expensive
Which roles are vulnerable?
AI vendors overpromise. Internal teams underestimate. You need ground truth.
Where should you invest?
Training or automation? Reskilling or hiring?
The wrong bet costs millions.
How do you prove ROI?
Your board wants data. Consultants give presentations. You need programmable intelligence.
Cubit is a first-of-its-kind framework, dataset, and interactive tool to investigate job vulnerability to AI.
— What Cubit Enables
01
Scrutinize your AI goals against 3.7 million expert-assessed AI benchmarks
02
Assess AI job risk using 1 million task-level annotations by real workers
03
Build custom dashboards and integrations for scaled risk heat-mapping
04
Access and account for real-time updates as AI capabilities evolve
05
Deploy custom evaluation frameworks on your workforce data
— Methodology
Link jobs to AI performance
We connect O*NET job tasks to HELM AI benchmark results by labeling both with the same requirements (reading comprehension, math reasoning, spatial processing, etc.). This lets us measure how AI performs on the actual skills each task requires.
Score automation exposure
Beyond AI capability, each task also gets scored on what makes it easy to automate (digitizable, procedural) versus resistant (requires empathy, improvisation, physical presence, complex judgment).
Calculate task-level risk
We combine AI capability scores with automation barriers to estimate which tasks AI can realistically handle—and which remain distinctly human. We show our work so you can decide for yourself.
