CLOSE
The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Orderlies are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
A career as an orderly is labeled as "Mostly Resilient" because while AI and machines can assist with tasks like taking vital signs, many parts of the job still need a human touch. Tasks like sorting medical waste remain hard to automate due to their complexity and safety rules.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
A career as an orderly is labeled as "Mostly Resilient" because while AI and machines can assist with tasks like taking vital signs, many parts of the job still need a human touch. Tasks like sorting medical waste remain hard to automate due to their complexity and safety rules.
Read full analysisAnalysis of Current AI Resilience
Orderlies
Updated Quarterly • Last Update: 2/17/2026

Orderlies help with things like taking vital signs and sorting waste. In many hospitals, digital monitors already handle part of the vital‐sign task – for example, blood pressure cuffs and thermometers that automatically record readings. Researchers have even built robots to do this without human touch.
For instance, a "Dr Spot" quadruped robot was tele‐operated by nurses to measure skin temperature, heart rate, and breathing rate from a distance [1]. Another study describes a home‐care robot that can track blood pressure, temperature, oxygen levels and more [1]. In short, machines and sensors are augmenting this work: devices take readings, and AI can flag problems.
However, most of these are still experiments or special cases. In practice today, orderlies mostly check vitals themselves (though often with digital tools), since fully autonomous robots are not yet common [1] [1].
By contrast, sorting and disposing trash (like medical waste or recycling) is almost entirely manual. Hospitals use color‐coded bins and staff separate waste by hand. Only a few prototype systems exist.
For example, research papers describe “smart bins” with cameras or sensors to detect waste type [1] and even robotic arms that could pick up and sort medical trash [1]. But these are mostly in labs or pilot projects. Real hospitals still rely on people to dump, recycle, or dispose materials.
In other words, this task is hard to automate (indeed O*NET notes only ~5% automatable) because it involves messy, varied materials and strict safety rules [1] [1].

Why would hospitals invest in AI for orderlies, and how fast? On the positive side, some driver exists. Studies note robotics could help when staff are busy or short.
For example, one hospital project used a robot to take vitals during COVID-19 mainly to keep nurses safe and save protective gear [1]. Another waste‐disposal study explicitly says its goal was “to reduce the human resources” needed for handling trash [1]. These examples show that when safety or labor costs are at stake, hospitals will at least try new tech.
Also, monitors and simple AI checks (like alerting if a blood pressure is very high) are already widely used, so some level of “automation” is familiar and relatively cheap.
But there are strong reasons to be cautious. Advanced robots can be very expensive to buy and maintain, often costing far more than a human helper’s hourly wage. Patients and families might feel safer with a real person nearby, especially for personal care.
Hospitals must follow strict medical rules, so any AI device needs careful testing and approval. In short, the economic benefits must clearly outweigh the costs and risks. Right now, taking vitals with a machine or tablet is easy and affordable, so it happens.
But fully replacing an orderly with a robot – for moving patients or sorting all trash – is much slower, because robots still lack the flexibility and human touch needed.
Overall, AI is starting to help orderlies with tools (digital monitors, reminders, safety alerts) and in experiments (vital-sign robots, smart bins). These tools can make the job easier and safer. At the same time, many parts of the job – like comforting patients or making judgment calls – remain firmly in human hands.
In general, adhopting AI in this field will be gradual: hospitals will pick up technologies that clearly save money or improve care (like contactless monitors during a pandemic [1]), but they will move carefully because of costs, regulations, and the need for personal care [1] [1]. That means orderlies’ jobs will change slowly, and human skills like empathy, cleaning, and quick decision-making will stay important for a long time.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
They assist in hospitals by moving patients, maintaining cleanliness, and ensuring supplies are ready, helping the medical team care for patients efficiently.
Median Wage
$37,700
Jobs (2024)
54,000
Growth (2024-34)
+3.3%
Annual Openings
7,800
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Serve or collect food trays.
Position or hold patients in position for surgical preparation.
Separate collected materials for disposal, recycling, or reuse, in accordance with environmental policies.
Provide physical support to patients to assist them to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Restrain patients to prevent violence or injury or to assist physicians or nurses to administer treatments.
Respond to emergency situations, such as emergency medical calls, security calls, or fire alarms.
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.