Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Riggers:
43.4%
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
$62,060 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 5 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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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis 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. 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.
Read full analysisAnalysis of Current AI Resilience
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 43.4% AI Resilience Score, which tells you this role is feeling real pressure but is far from gone. AI is already doing useful work alongside riggers: predictive maintenance, load path optimization, and anti-collision systems that automatically adjust crane movements when hazards appear [3]. Robotics and automation tools handle the motion math, but the operator and rigger still decide what gets lifted and how [4]. That human-in-the-loop arrangement is the norm right now, not the exception.
What keeps riggers in demand is the nature of the work itself. Every job site is different, physical constraints are unpredictable, and precision under real-world conditions is genuinely hard to automate [5]. Safety regulations also require trained riggers to retain ultimate responsibility for crane operations, which puts a legal ceiling on how far automation can go. On top of that, the construction industry is actively looking for more workers, partly to build the AI data centers driving all this change [6].
The honest advice: learn the new tools, especially AI-assisted inspection and planning systems. That is where the job is heading, and staying current is the best move you can make.
Sources
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Latest AI news for Riggers
These articles highlight the evolving landscape for riggers in animation and gaming. For instance, Flow Studio's introduction of AI rigging and Neural Layer streamlines character animation, enabling riggers to focus on creative aspects rather than technical hurdles. Additionally, understanding AI's role in detecting bid-rigging can enhance awareness of ethical practices in digital environments. Embracing AI tools can foster resilience in your career by enhancing efficiency and expanding creative possibilities, preparing you for a future where technology and artistry intersect.
Flow Studio expands character creation with AI Rigging and Neural Layer
adsknews.autodesk.com • 5/20/2026
Flow Studio introduces AI rigging and Neural Layer to simplify character animation and improve cinematic 3D rendering.
Autodesk Announces AI Rigging and Neural Layer in Flow Studio
www.awn.com • 5/20/2026
New features designed to help creators quickly and efficiently move from model to motion, compressing key aspects of the complex,...
AI Poisoning
chinamediaproject.org • 3/24/2026
A wave of state media coverage this month has warned Chinese consumers about the dangers of AI recommendation rigging.
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,...
Detecting bid-rigging through AI and public procurement law implications
www.addleshawgoddard.com • 2/26/2025
As part of its commitment to reduce illegal bid-rigging in UK public procurement tenders, the CMA recently announced that it is now relying...
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
$62,060
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.
