Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Riggers:

45.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient rigging work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For riggers, six of eight sources had data, with Anthropic and Adaptive Capacity missing. On AI exposure, sources mostly agreed: Microsoft, Will Robots Take My Job, and OpenAI Signals all rated physical rigging work as medium resilience, while our AI Resilience Model rated it high, giving medium-high confidence. A low Wage Bill score pulled the overall result to "Somewhat Resilient."

AI Resilience Report forRiggers

$62,640 median salary•1,700 annual openings•SOC Code: 49-9096.00

Riggers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Rigging is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not replacing riggers outright. Smart sensors, computer vision systems, and automated load calculators are taking over a lot of the monitoring and calculation tasks that riggers once handled manually, which means the job is shifting toward supervising technology rather than doing everything by hand.

Learn more about how you can thrive in this position

This role is somewhat resilient

Rigging is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not replacing riggers outright. Smart sensors, computer vision systems, and automated load calculators are taking over a lot of the monitoring and calculation tasks that riggers once handled manually, which means the job is shifting toward supervising technology rather than doing everything by hand.

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Analysis of current AI resilience

Riggers

Updated quarterly

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Latest AI news for Riggers

These articles highlight the evolving role of AI in rigging careers, emphasizing both opportunities and challenges. For instance, AI-driven systems enhance safety through better load stability, as seen in "How AI is Revolutionizing The Future of Cranes & Heavy." Additionally, the discussion around AI not replacing riggers but transforming lift planning in "Will AI replace riggers?" offers a hopeful perspective. Students should embrace these advancements, focusing on developing skills in tech integration and safety optimization, ensuring they remain vital in an AI-enhanced industry.

More Career Info

Career: Riggers

They safely set up and move heavy equipment using ropes, pulleys, and cranes at construction sites or during events.

Employment & Wage Data

Median Wage

$62,640

Jobs (2025)

22,500

Growth (2025-35)

+3.9%

Annual Openings

1,700

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

95% ResilienceCore Task

Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques.

2

95% ResilienceSupplemental

Install ground rigging for yarding lines, attaching chokers to logs and to the lines.

3

94% ResilienceCore Task

Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment.

4

94% ResilienceCore Task

Fabricate, set up, and repair rigging, supporting structures, hoists, and pulling gear, using hand and power tools.

5

93% ResilienceCore Task

Attach loads to rigging to provide support or prepare them for moving, using hand and power tools.

6

93% ResilienceCore Task

Manipulate rigging lines, hoists, and pulling gear to move or support materials, such as heavy equipment, ships, or theatrical sets.

7

92% ResilienceCore Task

Signal or verbally direct workers engaged in hoisting and moving loads to ensure safety of workers and 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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