AI in Wisconsin

AI task-exposure of work in Wisconsin

Weighting Wisconsin's job mix (BLS OEWS May 2024 state employment) by each occupation's AI Exposure Index gives a state task-overlap index of 49 (Moderate band) — versus a national 52 , 3 points below the U.S. average. This reflects 2,919,470 employed workers across 696 occupations.

This is the overlap between the tasks local jobs involve and what today's AI can do — not adoption, not automation, and not a forecast of jobs lost. Every state sits in a narrow national band; see the state choropleth for the relative picture.

Most-exposed occupations here

• Market Research Analysts and Marketing Specialists · 99th
• Operations Research Analysts · 99th
• Data Scientists · 99th
• Web Developers · 99th
• Personal Financial Advisors · 98th
• Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel · 97th

Least-exposed occupations here

• Tire Repairers and Changers · 1th
• Cement Masons and Concrete Finishers · 1th
• Dishwashers · 1th
• Maids and Housekeeping Cleaners · 1th
• Paving, Surfacing, and Tamping Equipment Operators · 2th
• Roofers · 2th

How Wisconsin works with AI

The collaboration patterns Anthropic's classifier assigns to conversations from this state — directive and feedback-loop count as handing work to AI; iteration, learning, and validation count as working with it.

Most common requests in Wisconsin

The specific requests that make up the largest share of this state's local activity.

How to read this

• Source: the Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) country-state aggregates over a sample of Claude.ai Free and Pro conversations.
• "Share of US usage" is this state's portion of national activity — it tracks population and is not a per-person adoption rate.
• Autonomy is a model-rated 0–5 estimate of how independently AI acted, averaged over conversations here.
• Geographic over-indexing compares the local request mix to the national mix, with a sample floor so small states do not produce spurious spikes.

← AI adoption across all states

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-wisconsin,
  title  = {AI in Wisconsin},
  author = {{Singulariki}},
  year   = {2026},
  note   = {BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/geography/wisconsin}
}