AI in Massachusetts
How Massachusetts uses AI · Anthropic Economic Index
Massachusetts accounts for about 3.4% of U.S. Claude.ai (Free and Pro) activity in the Anthropic Economic Index sample , the #7 largest share of 51 states. Of conversations here, 58.1% are people working with AI and 39.0% 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 Massachusetts
Weighting Massachusetts'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 3,595,610 employed workers across 644 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
- Operations Research Analysts · 99th
- Web Developers · 99th
- Statisticians · 99th
Least-exposed occupations here
- Orderlies · 0th
- 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
How Massachusetts 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 | 29.6% | AI does it; you give the instruction |
| task iteration | 28.2% | you and AI go back and forth |
| learning | 23.1% | you ask AI to explain or teach |
| feedback loop | 9.5% | AI does it, then adjusts from your feedback |
| validation | 6.8% | you do it; AI checks your work |
What over-indexes in Massachusetts
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 | 2.18× | 50 |
| Rewrite and polish existing professional business email drafts | 1.92× | 56 |
| Help with comprehensive job search strategy and assistance in hiring tasks | 1.73× | 50 |
Most common requests in Massachusetts
The specific requests that make up the largest share of this state's local activity.
| Request | Local share |
|---|---|
| Rewrite and polish existing professional business email drafts | 0.7% |
| Help prepare for job interviews with questions, answers, and practice | 0.7% |
| Help with comprehensive job search strategy and assistance in hiring tasks | 0.7% |
| Draft and refine job search and recruitment emails and messages | 0.6% |
| Draft and refine general professional business emails and communications | 0.6% |
| Draft and refine operational business emails and customer correspondence | 0.6% |
| Debug and implement bioinformatics analysis code for genomic data | 0.6% |
| Draft and refine graduate school and academic job application materials | 0.6% |
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.
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.
Cite this page
Singulariki. "AI in Massachusetts." 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/massachusetts
Singulariki. (2026). AI in Massachusetts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/geography/massachusetts
@misc{singulariki-massachusetts,
title = {AI in Massachusetts},
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/massachusetts}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.