Mostly Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

59.0%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forOrderlies

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.

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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.

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Analysis of Current AI Resilience

Orderlies

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Orderlies jobs?

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].

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AI Adoption

How fast is AI adoption growing for Orderlies?

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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More Career Info

Career: Orderlies

They assist in hospitals by moving patients, maintaining cleanliness, and ensuring supplies are ready, helping the medical team care for patients efficiently.

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% Resilience

Serve or collect food trays.

2

94% Resilience

Position or hold patients in position for surgical preparation.

3

94% Resilience

Separate collected materials for disposal, recycling, or reuse, in accordance with environmental policies.

4

93% Resilience

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.

5

92% Resilience

Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.

6

90% Resilience

Restrain patients to prevent violence or injury or to assist physicians or nurses to administer treatments.

7

88% Resilience

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.

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