Develop and implement AI/ML systems across multiple application domains

Where this request over-indexes

U.S. states where this request makes up a larger share of local Claude.ai activity than it does nationally. The figure is the ratio of the state's share to the national share; only states with enough sampled conversations are shown, so small states do not produce spurious spikes.

Where it is less represented

States where this request is a smaller share of local activity than the national average — "less represented in the request mix," not "people here don't ask this."

How to read this

• Source: the Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2), which clusters a sample of Claude.ai Free and Pro conversations by the user's request.
• Shares are of observed requests, not of jobs, work time, or the whole AI market.
• Geographic ratios compare a state's local request mix to the national mix; states below the sample floor are omitted rather than shown as noisy outliers.
• The broad and specific resolutions are independent clusterings — a specific request is not assigned to a broad theme in the source data.

← All of what people ask AI

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.

• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic

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

@misc{singulariki-broad-develop-and-implement-ai-ml-systems-across-multiple-application-domains,
  title  = {Develop and implement AI/ML systems across multiple application domains},
  author = {{Singulariki}},
  year   = {2026},
  note   = {Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27). Accessed June 7, 2026},
  url    = {https://singulariki.com/requests/broad-develop-and-implement-ai-ml-systems-across-multiple-application-domains}
}