Share and intensity of work current AI systems can materially affect.
SOC 29-9093
Surgical Assistants AI displacement risk
Surgical assistants maintain the operative field, position patients, and close incisions under the surgeon's direction. Robotic platforms change who holds the instruments but add demand for staff who dock, position, and troubleshoot them — the assistant role adapts to the robot rather than disappearing under it.
Likely potential for exposed tasks to move to software after workflow integration.
Robotics automate steadiness, not sterile-field judgment. Patient positioning, retraction under changing anatomy, and immediate response to bleeding remain human duties in every operating room, robotic or not.
Distribution
Where Surgical Assistants sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
28 O*NET task statements matched to SOC 29-9093. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $66,800 (May 2025, US national). The latest BLS row matched SOC 29-9093.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Surgical Assistants
SOC 29-9093 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Surgical Assistants
The current evidence import matched 28 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks28
SOC29-9093
- Core task / ID 19299
Monitor and maintain aseptic technique throughout procedures.
- Core task / ID 19298
Maintain an unobstructed operative field, using surgical retractors, sponges, or suctioning and irrigating equipment.
- Core task / ID 19312
Pass instruments or supplies to surgeon during procedure.
- Core task / ID 19305
Assist with patient resuscitation during cardiac arrest or other life-threatening events.
- Core task / ID 19315
Verify the identity of patient or operative site.
- Core task / ID 19310
Obtain or inspect sterile or non-sterile surgical equipment, instruments, or supplies.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Maintain an unobstructed operative field
Exposure 16, automation 5%, augmentation 34%.
O*NET evidence: Maintain an unobstructed operative field, using surgical retractors, sponges, or suctio... (ID 19298)
Monitor aseptic technique throughout procedures
Exposure 24, automation 9%, augmentation 48%.
O*NET evidence: Monitor and maintain aseptic technique throughout procedures. (ID 19299)
Position patients with stabilizing equipment
Exposure 18, automation 6%, augmentation 36%.
O*NET evidence: Coordinate or participate in the positioning of patients, using body stabilizing equipm... (ID 19294)
Apply sutures and close wound layers
Exposure 16, automation 5%, augmentation 34%.
O*NET evidence: Apply sutures, staples, clips, or other materials to close skin, facia, or subcutaneous... (ID 19289)
TaskExposureAutomationAugmentation
Maintain an unobstructed operative field165%34%
Monitor aseptic technique throughout procedures249%48%
Position patients with stabilizing equipment186%36%
Apply sutures and close wound layers165%34%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowRegistered Nurse First Assistant
Training horizon: 24-36 months. Skill overlap 56. Wage preservation signal 132.
- Complete nursing licensure
- Add RNFA certification
- Build multi-specialty case experience
role redesign
LowSurgical Services Coordinator
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 114.
- Own OR scheduling flows
- Manage robotic case logistics
- Train new assistants
Comparison guides
Compare the next move before you commit
24-36 months
Surgical Assistants to Registered Nurse First Assistant
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surgical Assistants into Registered Nurse First Assistant.
6-12 months
Surgical Assistants to Surgical Services Coordinator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surgical Assistants into Surgical Services Coordinator.
What the AI risk score means for Surgical Assistants
The displacement pressure score for Surgical Assistants is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Monitor aseptic technique throughout procedures carries 9% automation pressure, while Monitor aseptic technique throughout procedures carries 48% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $66,800 (May 2025, US national). Employment context: Hands-on operative role working alongside surgical robots. Typical education: Postsecondary certificate or surgical technology background plus experience.
Wage vulnerability is 42, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Robots need skilled docking and positioning
- Sterile-field judgment stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Surgical Assistants, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Surgical technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Aseptic compliance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Surgical equipment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Patient safety
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Registered Nurse First Assistant, such as complete nursing licensure.
- By 90 days, compare internal openings and external postings for Registered Nurse First Assistant or Surgical Services Coordinator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Surgical Assistants
Will AI replace Surgical Assistants?
Surgical assistants maintain the operative field, position patients, and close incisions under the surgeon's direction. Robotic platforms change who holds the instruments but add demand for staff who dock, position, and troubleshoot them — the assistant role adapts to the robot rather than disappearing under it. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Surgical Assistants work are most exposed to AI?
Monitor aseptic technique throughout procedures and Position patients with stabilizing equipment show the strongest automation pressure in this model. Monitor aseptic technique throughout procedures and Position patients with stabilizing equipment are better treated as AI-augmented work.
What should Surgical Assistants learn next?
Start with Surgical technique, Aseptic compliance, Surgical equipment. The most practical adjacent paths in this model are Registered Nurse First Assistant and Surgical Services Coordinator.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics