Prepare proposal documents.

Prepare proposal documents. is a detailed work activity in O*NET — a concrete unit of work shared across 10 occupations and seen in 14 occupation-specific tasks. It rolls up into the broader work activity Prepare proposals or grant applications. in Documenting/Recording Information .

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 14 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 14 (100%) 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 7 of these tasks, with a mean mapped-usage share of 0.026% 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.

• Write, review, or comment on documents, such as proposals, test plans, or procedures. · Human Factors Engineers and Ergonomists · importance 4.2 · direct LLM exposure
• Compile or develop materials to submit to granting or other funding organizations. · Fundraisers · importance 4.1 · exposure with tools
• Develop proposals that include documentation for estimates. · Logisticians · importance 4.1 · exposure with tools
• Prepare reports, sketches, working drawings, specifications, proposals, and budgets for proposed sites or systems. · Agricultural Engineers · importance 4.0 · exposure with tools
• Explain proposed solutions to customers, management, or other interested parties through written proposals and oral presentations. · Logisticians · importance 4.0 · exposure with tools
• Compile or develop materials to submit to granting or other funding organizations. · Fundraising Managers · importance 3.9 · exposure with tools
• Write reports or proposals related to photonics research or development projects. · Photonics Engineers · importance 3.7 · direct LLM exposure
• Write proposals to secure external funding or to partner with other companies. · Nanosystems Engineers · importance 3.6 · direct LLM exposure
• Write technical reports or proposals related to engineering projects. · Fuel Cell Engineers · importance 3.5 · direct LLM exposure
• Prepare or present public reports on topics such as bid proposals, deeds, environmental impact statements, or property and right-of-way descriptions. · Civil Engineers · importance 3.5 · direct LLM exposure
• Propose product designs involving microelectromechanical systems (MEMS) technology, considering market data or customer requirements. · Microsystems Engineers · importance 3.5 · exposure with tools
• Perform managerial functions, such as preparing proposals and budgets, analyzing labor costs, and writing reports. · Materials Engineers · importance 3.5 · direct LLM exposure
• Write grant applications, rebate applications, or project proposals to secure funding for sustainability projects. · Sustainability Specialists · importance 3.2 · direct LLM exposure
• Estimate costs or submit bids for engineering, construction, or extraction projects. · Mechanical Engineers · importance 3.2 · exposure with tools

Occupations that perform this

• Human Factors Engineers and Ergonomists
• Fundraisers
• Logisticians
• Agricultural Engineers
• Fundraising Managers
• Photonics Engineers
• Fuel Cell Engineers
• Civil Engineers
• Materials Engineers
• Sustainability 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-prepare-proposal-documents,
  title  = {Prepare proposal documents.},
  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/prepare-proposal-documents}
}