Last Update: 2/17/2026
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 operate machines that lift and move heavy items, making sure everything is done safely and smoothly.
This role is evolving
The career of hoist and winch operators is labeled as "Evolving" because AI is gradually being integrated to handle some of the simpler, repetitive tasks, like lifting loads automatically using sensors. However, many parts of the job still require human skills, such as attaching cables, coordinating with coworkers, and making safety judgments, which are too complex for AI to manage completely right now.
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 hoist and winch operators is labeled as "Evolving" because AI is gradually being integrated to handle some of the simpler, repetitive tasks, like lifting loads automatically using sensors. However, many parts of the job still require human skills, such as attaching cables, coordinating with coworkers, and making safety judgments, which are too complex for AI to manage completely right now.
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
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low 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
Hoist and Winch Operators
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Figure: A heavy hoist lifting a boat, a bit like the industrial winches hoist operators work with. In many heavy industries, some hoisting tasks now have automatic support. For example, one mining study designed an “automated skip loading” system that uses sensors to detect when a load is full and then lifts it without a person pulling the lever [1] [1]. This shows that parts of the job – like controlling the drum and starting the hoist engine – can be done by computer programs.
However, many other tasks still need human hands and eyes. Actions like attaching cables to a load, walking around to signal coworkers, or judging by eye are not handled by AI today. In practice, AI tools mostly add sensors or remote controls, but the operator still hooks up the load and watches everything.
In short, machines can help move heavy weights, but people continue to guide and secure the loads because those tasks are too complex or safety-critical to automate easily [1] [1].

AI in the real world
AI and robots in hoisting move ahead slowly for practical reasons. The main hurdles are cost, safety, and how mature the technology is. A custom system like the one in the mining study can boost output and even pay off (that study reports big efficiency gains from automation [1]), but it took engineers and sensors to build it.
For a typical company, buying and setting up similar AI equipment can be expensive compared to simply hiring a hoist operator. Also, laws and safety rules often require a person to supervise heavy lifts, which means fully replacing workers is rare. Labor market factors matter too: if workers are hard to find or wages are high, companies will invest more in automation, but if labor is cheap and plentiful, they may wait [1] [1].
In sum, AI will likely be used bit by bit – for example adding remote controls or smart alarms – rather than everything changing overnight. Young workers should know that your human skills (like careful judgment, coordination, and teamwork) remain very valuable even as technology changes.

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Median Wage
$52,310
Jobs (2024)
2,700
Growth (2024-34)
-1.1%
Annual Openings
300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Repair, maintain, and adjust equipment, using hand tools.
Climb ladders to position and set up vehicle-mounted derricks.
Apply hand or foot brakes and move levers to lock hoists or winches.
Attach, fasten, and disconnect cables or lines to loads, materials, and equipment, using hand tools.
Move or reposition hoists, winches, loads and materials, manually or using equipment and machines such as trucks, cars, and hand trucks.
Tend auxiliary equipment, such as jacks, slings, cables, or stop blocks, to facilitate moving items or materials for further processing.
Signal and assist other workers loading or unloading materials.
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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