Prepare maps.

Prepare maps. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Create visual designs or displays. in Thinking Creatively .

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 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 11 (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 1 of these tasks, with a mean mapped-usage share of 0.005% 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.

• Create and modify maps, graphs, or diagrams, using geographical information software and related equipment, and principles of cartography, such as coordinate systems, longitude, latitude, elevation, topography, and map scales. · Geographers · importance 4.4 · exposure with tools
• Prepare geological maps, cross-sectional diagrams, charts, or reports concerning mineral extraction, land use, or resource management, using results of fieldwork or laboratory research. · Geoscientists, Except Hydrologists and Geographers · importance 4.2 · exposure with tools
• Prepare notes, sketches, geological maps, or cross-sections. · Geological Technicians, Except Hydrologic Technicians · importance 4.1 · exposure with tools
• Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history. · Precision Agriculture Technicians · importance 4.0 · exposure with tools
• Draw or read maps, such as soil, contour, or plat maps. · Precision Agriculture Technicians · importance 3.7 · exposure with tools
• Design geological mine maps, monitor mine structural integrity, or advise and monitor mining crews. · Geoscientists, Except Hydrologists and Geographers · importance 3.7 · exposure with tools
• Plot information from aerial photographs, well logs, section descriptions, or other databases. · Geological Technicians, Except Hydrologic Technicians · importance 3.5 · exposure with tools
• Trim, align, and join prints to form photographic mosaics, maintaining scaled distances between reference points. · Surveying and Mapping Technicians · importance 3.5 · exposure with tools
• Map forest tract data using digital mapping systems. · Forest and Conservation Technicians · importance 3.3 · exposure with tools
• Survey, measure, and map access roads and forest areas such as burns, cut-over areas, experimental plots, and timber sales sections. · Forest and Conservation Technicians · importance 3.1 · exposure with tools
• Prepare, develop and maintain maps and databases. · Urban and Regional Planners · exposure with tools

Occupations that perform this

• Geographers
• Geoscientists, Except Hydrologists and Geographers
• Geological Technicians, Except Hydrologic Technicians
• Precision Agriculture Technicians
• Surveying and Mapping Technicians
• Forest and Conservation Technicians
• Urban and Regional Planners

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-maps,
  title  = {Prepare maps.},
  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-maps}
}