Apply new technologies to improve work processes.

Apply new technologies to improve work processes. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 5 occupation-specific tasks. It rolls up into the broader work activity Implement procedures or processes. in Making Decisions and Solving Problems .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 5 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 2 (40%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.021% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Incorporate research findings into practice as appropriate. · Midwives · importance 4.2 · exposure with tools
• Apply green technologies or techniques, such as the use of coiled tubing, slim-hole drilling, horizontal drilling, hydraulic fracturing, or gas lift systems. · Service Unit Operators, Oil and Gas · importance 3.8 · no direct exposure
• Apply new technologies developed to minimize the environmental impact of coal mining. · Continuous Mining Machine Operators · importance 3.8 · no direct exposure
• Apply bioremediation techniques to hazardous wastes to allow naturally occurring bacteria to break down toxic substances. · Hazardous Materials Removal Workers · importance 3.7 · no direct exposure
• Implement business rules via stored procedures, middleware, or other technologies. · Data Warehousing Specialists · importance 3.5 · direct LLM exposure

Occupations that perform this

• Midwives
• Service Unit Operators, Oil and Gas
• Continuous Mining Machine Operators
• Hazardous Materials Removal Workers
• Data Warehousing Specialists

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.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-apply-new-technologies-to-improve-work-processes,
  title  = {Apply new technologies to improve work processes.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/apply-new-technologies-to-improve-work-processes}
}