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Singulariki

Evernote

Software & technology · O*NET

Evernote is a software tool tracked in the Word processing software category of O*NET's Technology Skills file. It appears in the technology profile of 19 occupations that together employ about 20,072,050 workers, with a median wage of $74,260.

Across the occupations that use it, the work is 71st percentile for AI task-exposure (High) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →

Occupations that use this tool

Occupations whose O*NET technology profile lists Evernote, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.

Occupation Workers Median pay
General and Operations Managers 3,584,420 $102,950
Office Clerks, General 2,510,550 $43,630
Heavy and Tractor-Trailer Truck Drivers 2,070,480 $57,440
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 1,737,820 $46,290
Software Developers 1,654,440 $133,080
First-Line Supervisors of Office and Administrative Support Workers 1,495,580 $66,140
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 1,266,860 $66,780
First-Line Supervisors of Food Preparation and Serving Workers 1,187,460 $42,010
Project Management Specialists 1,006,160 $100,750
Human Resources Specialists 917,460 $72,910
Market Research Analysts and Marketing Specialists 861,140 $76,950
Executive Secretaries and Executive Administrative Assistants 472,770 $74,260
Marketing Managers 384,980 $161,030
Coaches and Scouts 250,940 $45,920
Food Service Managers 244,230 $65,310
Software Quality Assurance Analysts and Testers 199,800 $102,610
Web and Digital Interface Designers 111,400 $98,090
Web Developers 78,860 $90,930
Entertainment and Recreation Managers, Except Gambling 36,700 $77,180
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 19 occupations in occupations that use Evernote. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Heavy and Tractor-Trailer Truck Drivers Food Service Managers First-Line Supervisors of Food Preparation and Serving Workers Coaches and Scouts General and Operations Managers Entertainment and Recreation Managers, Except Gambling Marketing Managers Web and Digital Interface Designers Web Developers AI task-overlap percentile → ↑ Median pay
Occupations that use Evernote, by AI task-overlap and median pay

Related tools

Other software in the Word processing software category.

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 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Evernote." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/evernote

APA

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

BibTeX
@misc{singulariki-evernote,
  title  = {Evernote},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/software/evernote}
}

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