923
Occupations scored
18,796
Task-level analyses
182K+
AI benchmark evaluations
120
Skills & abilities mapped
A Multi-Dimensional Framework
Single “automation risk” scores conflate distinct phenomena. Cubit separates AI exposure into three independent pillars, each measuring a different dimension of how AI intersects with human work.
Structural Exposure
Can AI technically access and execute this work? Measures how rule-based and digitally accessible each task is.
Built from Procedural Intensity and Digital Accessibility scores.
Human Imperative
Does the work fundamentally require human presence? Captures physical embodiment and socio-emotional depth.
Patients want human doctors. Clients want human advisors. This pillar quantifies that.
Demonstrated Capability
Can current AI models actually perform the required skills? Grounded in 182,000+ empirical benchmark evaluations, not expert opinion.
Mapped from Stanford HELM to O*NET task requirements.
These three pillars combine to classify every task into one of four strategic zones: Automation, Augmentation, Human-Centric, and Status Quo — enabling precise, actionable workforce strategy.
What the API Does
Six capabilities that turn workforce intelligence from a static report into a programmable platform.
Job-Level AI Impact Scores
Automation susceptibility, human resilience, and balanced impact scores for every occupation. Custom-weightable.
Task-Level Decomposition
Drill into the specific activities within a job. Each task scored on four dimensions with natural language explanations.
Semantic Search
Move beyond SOC codes. Find matching occupations, tasks, and skills from natural language descriptions.
Regional Intelligence
Employment, wages, and risk metrics broken down across 384 metro areas with at-risk wage calculations.
Career Transitions
Data-driven reskilling pathways using 120-dimensional skill profiles, gap analysis, and training priorities.
Custom Scoring
Apply your own dimension weights. Same data, different strategic lens — because context matters.
Built for Decision-Makers
Cubit serves organizations that need to act on AI workforce intelligence, not just read about it.
Enterprise Companies
AI exposure and reskilling dashboards across your entire organization.
Consulting Firms
Data-backed workforce strategy and industry disruption reports for clients.
HR Tech Platforms
Embed AI readiness scores directly into workforce planning tools.
Researchers & Academics
Structured, reproducible data for research on AI, labor, and job markets.
Government Agencies
Model employment impacts by region and industry to drive policy decisions.
Financial Institutions
Quantify workforce risk and conduct due diligence on AI automation claims.
Built on Stanford HELM & O*NET · Validated against ILO, OpenAI & CAIS datasets
Ready to Build on Cubit?
Start with the Sandbox for free, or talk to us about Enterprise access for your organization.