Hoist and Winch Operators
Overall Exposure
2025 vs 2023
Theoretical Exposure
42What AI could do
Observed Exposure
9What AI actually does
Automation Risk Score
21Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 20 | 38 | 6 | 18 | actual |
| 2025 | 24 | 42 | 9 | 21 | estimated |
| 2026 | 28 | 46 | 12 | 25 | estimated |
| 2027 | 33 | 50 | 16 | 29 | estimated |
| 2028 | 38 | 55 | 21 | 33 | estimated |
Task Breakdown
About This Occupation
If you work as a Hoist and Winch Operator, AI is augmenting your documentation and monitoring tasks. With an automation risk of 21/100 and overall exposure at 24%, this role faces low transformation. Documentation has the highest automation at 58%. BLS projects -2% decline through 2034.
Frequently Asked Questions
With an automation risk score of 21%, Hoist and Winch Operators has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Hoist and Winch Operators is 21% (2025 data). Overall AI exposure is 24%, with 42% theoretical exposure and 9% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Hoist and Winch Operators are: Document load weights and equipment maintenance logs (58%), Inspect cables, pulleys, and safety mechanisms (22%), Operate hoist controls to position loads (18%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects -2% employment change for Hoist and Winch Operators from 2024 to 2034. Combined with an overall AI exposure of 24%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Hoist and Winch Operators should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.