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Appointment scheduling software

Software & technology · O*NET

Appointment scheduling software is a software tool tracked in the Calendar and scheduling software category of O*NET's Technology Skills file. It appears in the technology profile of 20 occupations that together employ about 7,979,520 workers, with a median wage of $46,180.

Across the occupations that use it, the work is 67th 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 Appointment scheduling software, 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
Office Clerks, General 2,510,550 $43,630
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 1,737,820 $46,290
Receptionists and Information Clerks 964,530 $37,230
Medical Assistants 793,460 $44,200
Executive Secretaries and Executive Administrative Assistants 472,770 $74,260
Exercise Trainers and Group Fitness Instructors 303,620 $46,180
Hairdressers, Hairstylists, and Cosmetologists 295,460 $35,250
Tutors 174,660 $40,090
Automotive Body and Related Repairers 155,220 $51,680
Legal Secretaries and Administrative Assistants 154,540 $54,140
Talent Directors 145,270 $83,480
Probation Officers and Correctional Treatment Specialists 86,820 $64,520
Magnetic Resonance Imaging Technologists 41,530 $88,180
Musicians and Singers 38,350
Dietetic Technicians 29,950 $37,040
Passenger Attendants 25,340 $37,560
Art Therapists 19,320 $65,010
Barbers 18,100 $38,960
Shampooers 8,890 $31,470
Makeup Artists, Theatrical and Performance 3,320 $50,280
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 Appointment scheduling 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 Exercise Trainers and Group Fitness Instructors Automotive Body and Related Repairers Hairdressers, Hairstylists, and Cosmetologists Barbers Art Therapists Magnetic Resonance Imaging Technologists Medical Assistants Makeup Artists, Theatrical and Performance Dietetic Technicians Probation Officers and Correctional Treatment Specialists Talent Directors Legal Secretaries and Administrative Assistants Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Executive Secretaries and Executive Administrative Assistants Tutors AI task-overlap percentile → ↑ Median pay
Occupations that use Appointment scheduling software, by AI task-overlap and median pay

Related tools

Other software in the Calendar and scheduling 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. "Appointment scheduling software." 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/appointment-scheduling-software

APA

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

BibTeX
@misc{singulariki-appointment-scheduling-software,
  title  = {Appointment scheduling software},
  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/appointment-scheduling-software}
}

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