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Presentation software

Technology category · O*NET

Presentation software is a technology category in the O*NET database. Across U.S. occupations, 633 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 57th percentile of AI task-exposure ( moderate) — 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
Microsoft PowerPoint 629 Hot In demand
Google Slides 25
Apple Keynote 17
Mentimeter 13
Apple iWork Keynote 7
Poll Everywhere 7
Pear Deck 6
Corel Presentation 2
DealMaven PresLink for PowerPoint and Word 2
Information presentation software 2
Prezi 2
Adobe Persuasion 1
Adobe Presenter 1
Blackboard Wimba 1
COMCON DataFriend 1
Caliban Mindwear HyperGASP 1
DATAN Merlin Fastab 1
Dazzlersoft DazzlerMax 1
EnviroInsite 1
Financial planning presentation software 1
Flying PopCorn 1
ForTheRecord TheRecord Player 1
Freeze.com Ovation Studio Pro 1
IDEA TrialPro 1
Magenta MultiMedia Tools Magenta II 1
MediaChance Multimedia Builder 1
MediaShout 1
MoneyTree Silver Financial Planner (presentation feature) 1
Moxi Works MoxiPresent 1
Presentation graphics software 1
Pulse Train Pulser Web 1
QPSMR Limited Reflect 1
Reality Star ProAGENT Power Series Presentations 1
SAP Crystal Xcelsius 1
Verdict Systems Sanction 1
Visionary Legal Technologies Visionary Professional 1
WebEx Sales Center 1
funeralOne Life Tributes 1
inData TrialDirector 1

Occupations that use Presentation software

Showing 40 of 633 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 35 occupations in occupations that use Presentation software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Agricultural Equipment Operators Animal Trainers Aircraft Mechanics and Service Technicians Anesthesiologist Assistants Administrative Services Managers Agricultural Inspectors Airline Pilots, Copilots, and Flight Engineers Agricultural Technicians Animal Caretakers Acute Care Nurses Adapted Physical Education Specialists Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Agricultural Engineers Anthropologists and Archeologists Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors Administrative Law Judges, Adjudicators, and Hearing Officers Architectural and Engineering Managers Archivists Aerospace Engineers Architecture Teachers, Postsecondary AI task-overlap percentile → ↑ Median pay
Occupations that use Presentation software, by AI task-overlap and median pay

How AI is used by roles that use Presentation software

A software category is not itself "being automated" — but we can look at the roles that report using Presentation 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. 63.3% of the 633 roles that use this category carry observed AI-usage data (401 roles).

Across those roles, 59.6% of AI conversations are people working with AI and 35.0% hand a task to AI , with an average autonomy of 3.67 / 5.

Collaboration pattern Share What it means
task iteration 33.6% you and AI go back and forth
directive 32.3% AI does it; you give the instruction
learning 18.0% you ask AI to explain or teach
validation 8.1% you do it; AI checks your work
feedback loop 2.6% AI does it, then adjusts from your feedback

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
English Language and Literature Teachers, Postsecondary 63.2% 4.0/5
Biological Science Teachers, Postsecondary 63.2% 4.0/5
Editors 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 65.2% 3.0/5
Poets, Lyricists and Creative Writers 46.2% 4.0/5
Educational, Guidance, School, and Vocational Counselors 70.6% 4.0/5
Technical Writers 54.2% 4.0/5
Office Clerks, General 36.5% 3.0/5
Recreation and Fitness Studies Teachers, Postsecondary 66.2% 3.3/5
Social Work Teachers, Postsecondary 67.2% 3.5/5
Philosophy and Religion Teachers, Postsecondary 66.8% 3.3/5
Education Teachers, Postsecondary 65.3% 3.5/5

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 Presentation 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 Presentation software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Presentation 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 57.8% of workers are in occupations that significantly use Presentation software (measured across 67 industries).

Sectors with the most such workers

Sector Workers Employment reach
Health Care and Social Assistance 12,269,530 53.1%
Professional, Scientific, and Technical Services 10,260,280 95.3%
Educational Services 9,720,570 71.3%
Retail Trade 8,295,210 53.2%
Manufacturing 7,156,780 56.1%
Finance and Insurance 6,127,770 98.4%
Administrative and Support and Waste Management and Remediation Services 4,159,060 46.0%
Wholesale Trade 3,973,710 65.8%
Construction 3,866,720 47.6%
Information 2,701,750 92.9%
Accommodation and Food Services 2,693,290 18.9%
Management of Companies and Enterprises 2,594,940 92.4%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Insurance Agencies and Brokerages National industry 1.72× 99.3%
Veterinary Services National industry 1.71× 98.9%
Direct Health and Medical Insurance Carriers National industry 1.71× 98.6%
Radio Broadcasting Stations National industry 1.71× 98.6%
Finance and Insurance Sector 1.7× 98.4%
Labor Unions and Similar Labor Organizations National industry 1.68× 97.1%
Wind Electric Power Generation National industry 1.67× 96.3%
Engineering Services National industry 1.66× 95.7%
Professional, Scientific, and Technical Services Sector 1.65× 95.3%
Television Broadcasting Stations National industry 1.63× 94.5%
Research and Development in the Social Sciences and Humanities National industry 1.63× 94.0%
Testing Laboratories and Services National industry 1.62× 93.7%

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.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Presentation 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/presentation-software

APA

Singulariki. (2026). Presentation software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/presentation-software

BibTeX
@misc{singulariki-presentation-software,
  title  = {Presentation 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/presentation-software}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.