BETA
Updated: Mar 24
BETA
Updated: Mar 24
Stable
Last Update: 3/13/2026
Your role’s AI Resilience Score is
84.0%
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
Surgical Assistants
They help surgeons during operations by handing them tools, keeping the area clean, and making sure everything runs smoothly.
This role is stable
The career of a surgical assistant is considered "Stable" because while AI is starting to help with some routine tasks like handing instruments, many important duties still require human skills. Tasks like talking to patients, adjusting equipment, and providing care before and after surgery need personal judgment and compassion that AI can't replicate.
Read full analysisLearn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is stable
The career of a surgical assistant is considered "Stable" because while AI is starting to help with some routine tasks like handing instruments, many important duties still require human skills. Tasks like talking to patients, adjusting equipment, and providing care before and after surgery need personal judgment and compassion that AI can't replicate.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Stable78.1%
78.1%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Stable98.3%
98.3%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Stable85.2%
85.2%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Stable75.8%
75.8%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
5.1%
Growth Percentile:
74.0%
Annual Openings:
1,600
Annual Openings Pct:
18.3%
Analysis of Current AI Resilience
Surgical Assistants
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
In operating rooms today, AI-driven robotics are beginning to help with very specific jobs. For example, several research teams have built “robotic scrub nurse” systems that can watch the surgery and hand instruments to the surgeon. One study showed an AI-powered robot could anticipate and deliver about 71% of the needed tools in a routine laparoscopic operation [1].
Earlier work (“Gestonurse”) even reported a robot making 97% of the correct hand movements to pass tools to the surgeon [1]. These proofs of concept suggest that core tasks like passing and organizing surgical instruments are being augmented by AI in trials. In practice today, human assistants still prepare trays and scrub in for every case, but new systems may help by grabbing and handing instruments when surgeons need them [1] [1].
By contrast, many other scrub nurse duties have little automation so far. Adjusting lights or room temperature usually relies on simple digital controls or voice panels, not smart AI. Holding retractors or clearing suction is done by people or simple devices (like vacuum retractors), with no learning software involved.
Likewise, applying dressings or discussing patient details with surgeons remain very human tasks. In general, experts note that current AI in healthcare is taking on routine, predictable jobs first (like paperwork or instrument counting), while complex human interaction tasks remain manual [2] [1]. So far there are no examples of AI systems doing wound care or the nuanced pre-op conversation about consent.
Those responsibilities still need human judgment and personal care.
Sources
AI in the real world
There are strong reasons to use more AI in surgical teams, but also big hurdles. On the plus side, hospitals face growing workloads and staff shortages. For example, one global study projects a shortage of nearly 10 million doctors, nurses and midwives by 2030 [2].
In surgery, not having enough scrub nurses can force delays. Studies note that robotic helpers like AI scrub nurses could mitigate these shortages and standardize care [1] [2]. In fact, the market for surgical robots is booming (over \$10 billion globally in 2024) [3], and many hospitals are investing in smart tools to make surgeries safer and faster.
In principle, a reliable AI assistant could reduce fatigue and free human staff to focus on patient care. Reports even find that robotic surgery can shorten hospital stays and require fewer people in the room [1] [3]. In the best case, AI augmentation means a hospital might treat more patients without overworking its team.
On the other hand, adoption will be cautious. High costs and strict safety rules make hospitals move slowly. Surgical robots can cost millions of dollars, so facilities compare that to hiring and training skilled staff.
Any new AI tool in the OR must be proven nearly error-free, since errors in surgery are unacceptable. Many healthcare workers have little experience with AI: one survey found ~44% of medical pros had never used an AI system in their work [2]. Operating room nurses also report feeling anxious about robot aides; one study showed that nurses became more worried (even as they learned more) about AI after training [1].
Legal and ethical concerns matter too: hospitals must trust that any AI or robot won’t harm patients. For these reasons, new AI features are likely to roll out slowly. Training and teamwork remain essential, and hospitals will adopt AI tools only after proving they truly help without risk.
Overall, while some surgery-assistant tasks (like handing instruments) are starting to be automated in research settings [1] [1], most duties still need human skill. AI is expected to augment the surgical team – taking care of routine or repetitive steps – rather than fully replace people. For now, young people in surgical careers can stay hopeful: new technology may make the job easier and safer, but it will also increase the value of human judgment, teamwork and compassion – qualities that no machine can match [1] [2].
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
More Career Info
Career: Surgical Assistants
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$60,290
Jobs (2024)
25,300
Growth (2024-34)
+5.1%
Annual Openings
1,600
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Postoperatively inject a subcutaneous local anesthetic agent to reduce pain.
2
Incise tissue layers in lower extremities to harvest veins.
3
Discuss with surgeon the nature of the surgical procedure, including operative consent, methods of operative exposure, diagnostic or laboratory data, or patient-advanced directives or other needs.
4
Insert or remove urinary bladder catheters.
5
Prepare and apply sterile wound dressings.
6
Maintain an unobstructed operative field, using surgical retractors, sponges, or suctioning and irrigating equipment.
7
Remove patient hair or disinfect incision sites to prepare patient for surgery.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.