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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.
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Last Update: 5/19/2026
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.
Orderlies are holding up well because the most important parts of their job — comforting patients, helping them move safely, and providing hands-on physical care — are things robots simply can't do. While AI-powered robots like Moxi can handle supply deliveries and fetch lab samples, hospitals have found that these tools work *alongside* orderlies rather than replacing them, and some hospitals have even retired their robots after they didn't deliver real results.
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Learn more about how you can thrive in this position
This role is mostly resilient
Orderlies are holding up well because the most important parts of their job — comforting patients, helping them move safely, and providing hands-on physical care — are things robots simply can't do. While AI-powered robots like Moxi can handle supply deliveries and fetch lab samples, hospitals have found that these tools work *alongside* orderlies rather than replacing them, and some hospitals have even retired their robots after they didn't deliver real results.
Read full analysisAnalysis of Current AI Resilience
Orderlies
Updated Quarterly • Last Update: 5/14/2026

If you're worried about robots taking over orderly jobs, take a breath — the reality today is much more limited than the hype suggests. Hospitals are mostly augmenting orderlies, not replacing them. The clearest example is Moxi, an AI-powered hospital robot built by Diligent Robotics that stands about 5 feet tall, ferries supplies, transports lab samples, and delivers snacks so nurses can spend more time with patients, and is now in use at about 25 hospitals nationwide, including Cedars-Sinai.
A newer pilot launched in April 2026 by BayCare Health System and the robotics startup Rovex [1] is testing autonomous stretcher movement at Morton Plant Hospital, though leaders stressed the technology "is designed to support — not replace — team members" and no patients are being moved by robots during the current pilot. Importantly, the most human parts of an orderly's job remain out of reach. As Cedars-Sinai's chief nursing executive told CBS News [2], "Robots touch things and people touch people.
They could never hold a patient's hand or wipe their brow or help them brush their teeth." Repositioning bedridden patients to prevent bedsores still requires human judgment and gentle handling.

Adoption is being pushed by serious staffing pressure. The American Hospital Association's 2026 Workforce Scan [3] reports that hospitals face rising labor costs, burnout, and growing demand from an aging population, and are "accelerating their use of AI-assisted documentation, clinical decision-support tools, digital scheduling and telehealth to reduce administrative burden and extend capacity without proportional staffing increases." But adoption is also being slowed by real-world limits. Nurses at hospitals using Moxi told the Washington State Nurses Association [4] the robots "were annoying and often got in the way," needed an escort between floors, and "never delivered meaningful time savings" — and MultiCare retired all 14 of its Moxi robots in 2025.
Meanwhile, the U.S. Bureau of Labor Statistics projects [5] healthcare support occupations will grow 12.4% from 2024 to 2034 — one of the fastest-growing groups in the economy. Translation: human orderlies, with their warmth, judgment, and physical care skills, are still in high demand, and that's unlikely to change soon.

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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.

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