AI in New York

AI task-exposure of work in New York

Weighting New York's job mix (BLS OEWS May 2024 state employment) by each occupation's AI Exposure Index gives a state task-overlap index of 55 (Moderate band) — versus a national 52 , 3 points above the U.S. average. This reflects 9,458,860 employed workers across 722 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

• News Analysts, Reporters, and Journalists · 100th
• Market Research Analysts and Marketing Specialists · 99th
• Data Scientists · 99th
• Web Developers · 99th
• Operations Research Analysts · 99th
• Statisticians · 99th

Least-exposed occupations here

• Orderlies · 0th
• Tire Repairers and Changers · 1th
• Rail-Track Laying and Maintenance Equipment Operators · 1th
• Cement Masons and Concrete Finishers · 1th
• Dishwashers · 1th
• Maids and Housekeeping Cleaners · 1th

How New York 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.

What over-indexes in New York

Requests that make up a larger share of local Claude.ai activity than they do nationally (count-floored, so this section is shown only where the state's sample is large enough). The ratio compares the local share to the national share.

Most common requests in New York

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-new-york,
  title  = {AI in New York},
  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/new-york}
}