Somewhat Resilient
Last Update: 7/31/2026
AI Resilience Score for Riggers:
44.3%
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%).
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%).
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forRiggers
$62,640 median salary•2,500 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. Tools for load planning, collision avoidance, and safety inspections are spreading across the industry, meaning riggers who embrace these technologies will have a real advantage over those who do not.
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Rigging is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not replacing riggers outright. Tools for load planning, collision avoidance, and safety inspections are spreading across the industry, meaning riggers who embrace these technologies will have a real advantage over those who do not.
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Riggers
Updated Quarterly
How is AI changing Riggers jobs?
Right now, AI isn't replacing riggers — it's becoming a smart helper alongside them. Artificial intelligence and digital tools are rapidly transforming the crane and rigging industry, and AI-powered systems now assist with predictive maintenance, load path optimization, operator alerts, and remote operation, but experts stress that human oversight remains essential, according to a January 2026 feature in Crane and Hoist Canada [1]. Mazzella Companies' 2026 industry outlook [2] notes that in 2026, companies continue to deploy AI into safety work systems, inspection workflows, and overhead crane systems, and rather than replacing people outright, AI is being used to improve safety, consistency, and decision making.
On the equipment side, autonomous crane systems [3] are gaining ground: anti-collision systems use sensors and computer vision to detect other cranes, structures, power lines, and personnel within the operational envelope, and when potential conflicts emerge, the system automatically adjusts movements or halts operation. Robotics & Automation News [4] describes this setup as a classic example of human-in-the-loop automation, where the operator determines what is to be lifted while the software determines the safe motion parameters. In short, the brainpower, signaling, and hands-on judgment that riggers provide are still very much in demand.
Sources
How fast is AI adoption growing for Riggers?
Adoption is happening, but slowly and unevenly. The work is physical, outdoor, and changes every day, so full automation is hard and expensive. California Crane School [5] explains that because of the hands-on and variable nature of these roles, the likelihood of them being replaced by AI or automation remains very low — especially in construction, where physical constraints, the demand for high precision, and the complexity of real-world environments make automation difficult.
Labor market conditions also favor human riggers: a February 2026 Fortune report [6] found that the Associated Builders and Contractors trade group estimated the industry will need 456,000 new workers in 2027, up 30.7% from the 349,000 needed this year, and ironically much of that demand comes from building AI data centers themselves. Safety regulation is another brake on adoption — national and provincial regulations require that trained operators and riggers retain ultimate responsibility for crane operations, regardless of technological advances. So while AI tools for inspection, load planning, and collision avoidance will keep spreading, the rigger's eyes, hands, and judgment remain the core of the job — and learning these new tools is a great way to future-proof your career.
Sources
Will AI replace Riggers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Riggers earn a 44.3% AI Resilience Score, which means real change is coming, but the role isn't going away. AI tools are already handling predictive maintenance, load path optimization, and collision avoidance, with autonomous crane systems using sensors and computer vision to halt or adjust movements when hazards appear [3]. Robotics and automation experts describe this as human-in-the-loop automation, where the operator decides what gets lifted and the software figures out the safe path [4]. The rigger's eyes, hands, and on-site judgment stay at the center of the work.
Full automation is genuinely hard here. The job is physical, outdoor, and different every single day, which makes it expensive and complicated to automate [5]. Safety regulations also require trained riggers to retain ultimate responsibility for crane operations, no matter how advanced the technology gets [2].
The economic picture is more mixed. Demand for construction workers is growing, partly driven by AI data center builds, but wages and long-term flexibility scores are on the lower end. The honest advice: learn the new AI-assisted tools, lean into the safety expertise that regulations protect, and treat the technology as a skill to add rather than a threat to fear.
Sources
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Latest AI news for Riggers
These articles highlight how AI is transforming rigging careers, particularly through tools like Autodesk's AI Rigging and Neural Layer, which streamline character animation and improve efficiency. For instance, the introduction of these features allows riggers to transition from model to motion more quickly, enhancing their workflow. Additionally, platforms like AutoDraft AI provide innovative toolkits that simplify the animation process, positioning riggers to embrace AI advancements. Embracing these technologies can foster resilience in their careers, ensuring they remain relevant in a rapidly evolving industry.
Autodesk Announces AI Rigging and Neural Layer in Flow Studio
www.awn.com • 4/28/2026
New features designed to help creators quickly and efficiently move from model to motion, compressing key aspects of the complex,...
Flow Studio expands character creation with AI Rigging and Neural Layer
adsknews.autodesk.com • 4/28/2026
Flow Studio introduces AI rigging and Neural Layer to simplify character animation and improve cinematic 3D rendering.
Bengaluru: ED alleges AI-led rigging at WinZO
timesofindia.indiatimes.com • 1/30/2026
BENGALURU: The Enforcement Directorate (ED) alleged that online gaming platform WinZO deployed AI-driven bots, algorithmic player profiles,...
AutoDraft AI's Character Animation Toolkit
www.openpr.com • 5/19/2025
AutoDraft AI, an AI-powered animation platform, has introduced a new Character Animation Toolkit that streamlines the creation of animated...
Will AI really change the crane industry?
www.cranebriefing.com • 2/6/2025
While AI is making waves in the construction industry, its impact on crane operations and physical construction tasks may be more limited than some have...
More Career Info
Career: Riggers
They safely set up and move heavy equipment using ropes, pulleys, and cranes at construction sites or during events.
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Employment & Wage Data
Median Wage
$62,640
Jobs (2024)
24,600
Growth (2024-34)
+3.2%
Annual Openings
2,500
Education
High school diploma or equivalent
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
Attach pulleys and blocks to fixed overhead structures such as beams, ceilings, and gin pole booms, using bolts and clamps.
2
Attach loads to rigging to provide support or prepare them for moving, using hand and power tools.
3
Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques.
4
Manipulate rigging lines, hoists, and pulling gear to move or support materials such as heavy equipment, ships, or theatrical sets.
5
Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment.
6
Align, level, and anchor machinery.
7
Clean and dress machine surfaces and component parts.
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.
