Resolve operational performance problems.

Resolve operational performance problems. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Resolve personnel or operational problems. in Resolving Conflicts and Negotiating with Others .

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 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 6 (75%) 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 0.032% 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.

• Initiate corrective actions or order plant shutdowns in emergency situations. · Nuclear Engineers · importance 4.4 · no direct exposure
• Identify and report problems in obtaining valid data. · Interviewers, Except Eligibility and Loan · importance 4.4 · direct LLM exposure
• Investigate or resolve operational problems, such as material use variances or bottlenecks. · Manufacturing Engineers · importance 4.3 · exposure with tools
• Identify and resolve equipment malfunctions, working with manufacturers or field representatives as necessary to procure replacement parts. · Electrical and Electronic Engineering Technologists and Technicians · importance 4.1 · no direct exposure
• Assist engineering and other personnel to solve operating problems. · Petroleum Engineers · importance 4.0 · exposure with tools
• Devise solutions to problems of land reclamation and water and air pollution, such as methods of storing excavated soil and returning exhausted mine sites to natural states. · Mining and Geological Engineers, Including Mining Safety Engineers · importance 3.8 · exposure with tools
• Resolve testing problems by modifying testing methods or revising test objectives and standards. · Validation Engineers · importance 3.8 · direct LLM exposure
• Solve problems in a number of engineering fields, such as mechanical, chemical, electrical, civil, nuclear, and aerospace. · Materials Engineers · importance 3.6 · exposure with tools

Occupations that perform this

• Nuclear Engineers
• Interviewers, Except Eligibility and Loan
• Manufacturing Engineers
• Electrical and Electronic Engineering Technologists and Technicians
• Petroleum Engineers
• Mining and Geological Engineers, Including Mining Safety Engineers
• Materials Engineers

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-resolve-operational-performance-problems,
  title  = {Resolve operational performance problems.},
  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/resolve-operational-performance-problems}
}