Last Update: 3/13/2026
Your role’s AI Resilience Score is
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 shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They assist in hospitals by moving patients, maintaining cleanliness, and ensuring supplies are ready, helping the medical team care for patients efficiently.
This role is evolving
The career of an orderly is labeled as "Evolving" because AI is starting to help with some tasks, like using digital monitors to check vital signs. However, many parts of the job, like comforting patients and making quick decisions, still need a human touch.
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 evolving
The career of an orderly is labeled as "Evolving" because AI is starting to help with some tasks, like using digital monitors to check vital signs. However, many parts of the job, like comforting patients and making quick decisions, still need a human touch.
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
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
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
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
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Orderlies
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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.

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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.
Separate collected materials for disposal, recycling, or reuse, in accordance with environmental policies.
Restrain patients to prevent violence or injury or to assist physicians or nurses to administer treatments.
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.
Respond to emergency situations, such as emergency medical calls, security calls, or fire alarms.
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Position or hold patients in position for surgical preparation.
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.

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