Charting software
Technology category · O*NET
Charting software is a technology category in the O*NET database. Across U.S. occupations, 10 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 76th percentile of AI task-exposure ( high) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.
A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.
Example software & tools
Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.
| Software / tool | Occupations | Tags |
|---|---|---|
| Aeronautical charts | 3 | |
| Montgomery Investment Technology Utility XL | 2 | |
| TickQuest NeoTicker | 2 | |
| AASoftTech Web Organization Chart | 1 | |
| Graphing software | 1 | |
| SmartDraw VP | 1 | |
| Timeline software | 1 | |
| e-MDs Chart | 1 |
Occupations that use Charting software
- Commercial Pilots
- Financial Risk Specialists
- Financial and Investment Analysts
- Human Resources Managers
- Instructional Coordinators
- Intelligence Analysts
- Medical and Health Services Managers
- Meter Readers, Utilities
- Remote Sensing Scientists and Technologists
- Remote Sensing Technicians
How AI is used by roles that use Charting software
A software category is not itself "being automated" — but we can look at the roles that report using Charting software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 70.0% of the 10 roles that use this category carry observed AI-usage data (7 roles).
Across those roles, 51.0% of AI conversations are people working with AI and 45.1% hand a task to AI , with an average autonomy of 3.86 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| task iteration | 43.7% | you and AI go back and forth |
| directive | 43.0% | AI does it; you give the instruction |
| learning | 5.7% | you ask AI to explain or teach |
| feedback loop | 2.1% | AI does it, then adjusts from your feedback |
| validation | 1.7% | you do it; AI checks your work |
Roles behind this signal
The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.
| Occupation | Works with AI | Autonomy |
|---|---|---|
| Instructional Coordinators | 53.1% | 4.0/5 |
| Financial Analysts | 46.8% | 3.0/5 |
| Remote Sensing Technicians | 41.4% | 3.5/5 |
| Medical and Health Services Managers | 49.5% | 4.0/5 |
| Human Resources Managers | 47.7% | 4.0/5 |
| Intelligence Analysts | 32.9% | 3.5/5 |
| Remote Sensing Scientists and Technologists | 27.7% | 3.0/5 |
Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Charting software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.
Industries that concentrate this
Where Charting software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Charting software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.
Nationally, about 1.0% of workers are in occupations that significantly use Charting software (measured across 57 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Health Care and Social Assistance | 492,540 | 2.1% |
| Educational Services | 237,490 | 1.7% |
| Finance and Insurance | 214,100 | 3.4% |
| Professional, Scientific, and Technical Services | 132,340 | 1.2% |
| Management of Companies and Enterprises | 105,780 | 3.8% |
| Administrative and Support and Waste Management and Remediation Services | 50,680 | 0.6% |
| Manufacturing | 50,170 | 0.4% |
| Transportation and Warehousing | 39,020 | 0.5% |
| Information | 25,720 | 0.9% |
| Wholesale Trade | 21,180 | 0.4% |
| Other Services (except Public Administration) | 12,950 | 0.3% |
| Real Estate and Rental and Leasing | 12,690 | 0.5% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Management of Companies and Enterprises | Sector | 3.8× | 3.8% |
| Outpatient Mental Health and Substance Abuse Centers | National industry | 3.6× | 3.6% |
| Finance and Insurance | Sector | 3.4× | 3.4% |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists | National industry | 3.4× | 3.4% |
| Direct Health and Medical Insurance Carriers | National industry | 3.2× | 3.2% |
| Offices of Mental Health Practitioners (except Physicians) | National industry | 2.8× | 2.8% |
| Residential Mental Health and Substance Abuse Facilities | National industry | 2.4× | 2.4% |
| Health Care and Social Assistance | Sector | 2.1× | 2.1% |
| Utilities | Sector | 1.8× | 1.8% |
| Educational Services | Sector | 1.7× | 1.7% |
| Professional, Scientific, and Technical Services | Sector | 1.2× | 1.2% |
| Information | Sector | 0.9× | 0.9% |
Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.
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
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Charting software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/charting-software
Singulariki. (2026). Charting software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/charting-software
@misc{singulariki-charting-software,
title = {Charting software},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/tools/charting-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.