Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Hoist and Winch Operators:
27.9%
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.
Med
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%).
Low
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%).
Low
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
AI Resilience Report forHoist and Winch Operators
$52,310 median salary•300 annual openings•SOC Code: 53-7041.00
Hoist and Winch Operators are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Hoist and winch operating earns a "Not Very Resilient" label because the industry is moving steadily toward autonomous lifting equipment, with companies like Caterpillar already rolling out AI-assisted controls and fully autonomous machines in mining and construction. The routine, repetitive parts of this job (like standard lifts on predictable job sites) are exactly the kind of tasks that automation handles well, and the push to solve labor shortages and cut insurance costs gives employers a real financial reason to invest in that technology.
Learn more about how you can thrive in this position
This role is not very resilient
Hoist and winch operating earns a "Not Very Resilient" label because the industry is moving steadily toward autonomous lifting equipment, with companies like Caterpillar already rolling out AI-assisted controls and fully autonomous machines in mining and construction. The routine, repetitive parts of this job (like standard lifts on predictable job sites) are exactly the kind of tasks that automation handles well, and the push to solve labor shortages and cut insurance costs gives employers a real financial reason to invest in that technology.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Hoist and Winch Operators
Updated Quarterly

How is AI changing Hoist and Winch Operators jobs?
If you're worried that AI is about to take over the controls of a winch or hoist, here's the honest update: most of what's happening right now is augmentation, not full replacement. The biggest news in early 2026 came from Caterpillar, which is piloting an "AI Assistant" built on Nvidia's Jetson Thor platform that can help answer a machine operator's questions, allow them to access resources, offer safety tips, and schedule services. In other words, AI is becoming a helpful co-pilot for the human running the lift.
Caterpillar's chief data and AI VP notes the company already has fully autonomous vehicles in the mining sector, and that data from machines sending roughly 2,000 messages back to the company every second is fueling digital-twin simulations of job sites. Sister machines like autonomous trucks, dozers, and excavators are now being rolled out across construction [1], and Europe-wide industry watchers say the next leap is from autonomous machines to fully autonomous job sites [2]. Academic reviews of AI in on-site construction robotics [3] confirm cranes and lifting equipment are getting "sense–think–act" capabilities — computer vision for spotting loads, AI for planning lifts, and automated controls for execution — but full autonomy on messy, unpredictable job sites is still rare.
Sources

How fast is AI adoption growing for Hoist and Winch Operators?
Adoption will likely be steady but slow for most hoist and winch jobs. On the "speed up" side, there's a real crane operator shortage [4] and high insurance costs, which push employers to invest in tech. The American Society of Safety Professionals' 2025 Construction Industry Safety Challenges report [5] highlights how labor shortages and rising costs, to the adoption of new technologies and the industry's increasing focus on worker well-being are all shaping safety investments.
On the "slow down" side, hoisting work happens outdoors in dust, weather, and chaos, where human judgment, signal-reading, and split-second safety calls still beat algorithms. Federal labor economists also note that automation technology has long been a factor impacting the job outlook for routine roles, but the BLS 2024–34 projections [6] emphasize physical, on-site jobs are less exposed than office work. Translation: your hands-on skills, safety certifications, and ability to communicate with a ground crew remain genuinely valuable — and learning to work alongside AI-assisted equipment may be the smartest career move you can make.
Sources

Will AI replace Hoist and Winch Operators?
In part. We think AI will eventually automate a real share of this work, but human judgment and on-site safety skills will remain part of the picture for years to come.
Our 27.9% AI Resilience Score reflects real exposure. Cranes and lifting equipment are already gaining computer vision, AI-assisted lift planning, and automated controls [3], and industry leaders are openly talking about fully autonomous job sites as a near-term goal [2]. Autonomous machines are already rolling out across construction sites [1]. The job market outlook through 2034 is also soft, so this is not a career to coast in.
That said, full autonomy on messy, unpredictable outdoor sites is still rare. Reading a ground crew's signals, making split-second safety calls in bad weather, and adapting to chaos are things algorithms still struggle with. A crane operator shortage and rising insurance costs are actually pushing employers toward AI-assisted tools rather than pure replacement right now [4].
The smarter move is to treat this as a career starting point, not a finish line. Safety certifications, mechanical knowledge, and experience with AI-assisted equipment are all transferable. Roles in equipment inspection, site supervision, or heavy machinery training are natural next steps. The workers who learn to operate alongside new technology will be the hardest ones to replace.
Sources

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Latest AI news for Hoist and Winch Operators
These articles highlight how AI and simulation technologies are transforming the training and operational landscape for hoist and winch operators. For instance, the article on synthetic training for SAR winch operators emphasizes safe and effective skill development in virtual environments. Meanwhile, advancements in automation and monitoring systems, as discussed in the automation article, suggest that future operators will need to adapt to new tools while enhancing safety and efficiency. Embracing these technologies can help students build resilience in their careers, ensuring they remain competitive in an evolving industry.
How Automation is Revolutionizing Crane and Hoist Systems
americancrane.com • 6/20/2026
Apr 1, 2025 — These systems combine AI and advanced object recognition to either autonomously perform tasks or operate remotely. ARC technology enhances ... Read more
AI in control - HOIST Magazine
www.hoistmagazine.com • 6/20/2026
May 25, 2023 — The short answer is that it can. According to one, highly speculative, analysis, 65% of crane operator jobs will be replaced by robots. Read more

Training for pilots and hoist operators for maritime missions
www.airmedandrescue.com • 8/1/2024
Is simulation a safe option for training rescue crews, and is it the only safe way to acquire and retain the required skills?

Virtual worlds: synthetic training for SAR winch operators
www.airmedandrescue.com • 5/2/2024
Stepping into artificial realities can help search and rescue helicopter winch crews develop their skills safely, effectively and affordably...

Powerful Automation And Robust Inventions Boost Artificial Lift’s Impa
www.aogr.com • 6/8/2023
Flowco Production Solutions has developed a more precise monitoring and control system for gas lift, plunger lift and hybrid-lift methods, capable of...
More Career Info
Career: Hoist and Winch Operators
They operate machines that lift and move heavy items, making sure everything is done safely and smoothly.
Parent Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Climb ladders to position and set up vehicle-mounted derricks.
2
Repair, maintain, and adjust equipment, using hand tools.
3
Apply hand or foot brakes and move levers to lock hoists or winches.
4
Tend auxiliary equipment, such as jacks, slings, cables, or stop blocks, to facilitate moving items or materials for further processing.
5
Attach, fasten, and disconnect cables or lines to loads, materials, and equipment, using hand tools.
6
Move or reposition hoists, winches, loads and materials, manually or using equipment and machines such as trucks, cars, and hand trucks.
7
Select loads or materials according to weight and size specifications.
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.
