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AI in Washington

How Washington uses AI · Anthropic Economic Index

Washington accounts for about 3.2% of U.S. Claude.ai (Free and Pro) activity in the Anthropic Economic Index sample , the #8 largest share of 51 states. Of conversations here, 59.1% are people working with AI and 37.9% hand a task to AI.

This is a state's share of national usage, which tracks population — not a per-person adoption rate. Figures are shares of observed Claude.ai conversations, not of jobs or work time, and reflect one assistant's consumer sample.

AI task-exposure of work in Washington

Weighting Washington's job mix (BLS OEWS May 2024 state employment) by each occupation's AI Exposure Index gives a state task-overlap index of 53 (Moderate band) — versus a national 52 , 1 point above the U.S. average. This reflects 3,525,710 employed workers across 704 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

Least-exposed occupations here

How Washington 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.

Working with AI vs. handing tasks to AI (share of observed conversations)

Collaboration pattern breakdown

Pattern Share What it means
directive 27.6% AI does it; you give the instruction
learning 27.0% you ask AI to explain or teach
task iteration 26.5% you and AI go back and forth
feedback loop 10.3% AI does it, then adjusts from your feedback
validation 5.6% you do it; AI checks your work

What over-indexes in Washington

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.

Request vs. national Conversations
Help prepare for job interviews with questions, answers, and practice 2.62× 56
Help with comprehensive job search strategy and assistance in hiring tasks 2.14× 58

Most common requests in Washington

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

Request Local share
Help with comprehensive job search strategy and assistance in hiring tasks 0.8%
Help prepare for job interviews with questions, answers, and practice 0.8%
Provide recipes, cooking instructions, and meal preparation advice 0.7%
Draft and refine general professional business emails and communications 0.6%
Create, revise, format, and optimize resumes and CVs 0.6%
Draft and refine operational business emails and customer correspondence 0.5%
Rewrite and polish existing professional business email drafts 0.4%
Answer questions about food properties, nutrition, safety, and quality 0.4%

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.

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

Cite this page
Plain

Singulariki. "AI in Washington." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/geography/washington

APA

Singulariki. (2026). AI in Washington. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/geography/washington

BibTeX 
@misc{singulariki-washington,
  title  = {AI in Washington},
  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/washington}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.