Will AI replace Endoscopy Technicians?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 5% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Maintain a sterile field to provide support for physicians and nurses during endoscopy procedures. Prepare and maintain instruments and equipment. May obtain specimens.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in endoscopy.
Out of reach(11)
- Clean, disinfect, or calibrate scopes or other endoscopic instruments according to manufacturer recommendations and facility standards.
- Assist physicians or registered nurses in the conduct of endoscopic procedures.
- Collect specimens from patients, using standard medical procedures.
- Perform safety checks to verify proper equipment functioning.
- Maintain or repair endoscopic equipment.
and 6 more
Also called
Endoscopy Technician (Endoscopy Tech) · GI Tech (Gastrointestinal Technician) · Endoscopy Tech · GI Tech · Endoscopic Technician (Endo Technician) · Endo Technician · Certified Endo Tech (Certified Endoscopy Technician) · Certified Endoscopic Reprocessor (CER)
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics