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Riggers

SOC: 49-9096.00 · Job Zone: 2

AI Impact Score: 35/100 — AI-Augmented, Human-Led
By Meo Advisors Editorial, Editorial Team
AI Score
35/100
AI-Augmented, Human-Led
Employment
24K
Median Wage
$62,060
per year
Timeline
10+ years
to significant impact

Key Takeaways

  • AI Impact Score: 35/100AI-Augmented, Human-Led. This role is relatively AI-resistant due to physical or interpersonal requirements.
  • 24K workers currently employed.
  • Mean annual wage: $62,060.
  • 1 of 14 key tasks can already be performed by AI tools today.

What Riggers Do

Set up or repair rigging for construction projects, manufacturing plants, logging yards, ships and shipyards, or for the entertainment industry.

Also known as

Common HR-system job titles that map to this O*NET occupation (49-9096.00). Use these terms in resumes, postings, and org charts to match this AI-replaceability profile.

Acrobatic RiggerBoat RiggerCertified RiggerCrane RiggerFly Rail OperatorGantry RiggerGear RepairerGripHand RiggerHeavy Lift Rigger

Have a job title that doesn't appear here? Upload your org chart to score your full headcount against AI replaceability.

AI Impact Analysis

The rigging profession employs 24,190 workers with a mean annual wage of $62,060, representing a specialized but stable segment of the construction and manufacturing workforce. Riggers perform critical safety-sensitive work in construction projects, manufacturing plants, logging yards, shipyards, and entertainment venues, requiring precise coordination and real-time decision-making in high-risk environments.

AI is beginning to automate specific administrative and planning tasks within rigging operations. Documentation and record-keeping activities are being streamlined through tools like Microsoft Copilot and Claude, which can generate inspection reports and maintain equipment logs. Load calculation and equipment selection tasks are increasingly supported by specialized engineering software integrated with AI capabilities, while project planning and scheduling functions are being enhanced by platforms like Microsoft Project with AI-powered optimization features.

The core physical tasks of rigging remain fundamentally human-essential due to their requirement for real-time spatial awareness, safety judgment, and manual dexterity. Testing rigging for safety and reliability, controlling movement of heavy equipment through confined spaces, and signaling workers during load operations all demand immediate physical presence and split-second decision-making that current AI cannot replicate. The tactile feedback required for attaching loads, manipulating rigging lines, and aligning machinery relies on human sensory capabilities that remain irreplaceable.

Over the next 1-3 years, AI will primarily serve as an augmentation tool for planning and documentation tasks, with smart safety monitoring systems providing additional oversight. The 3-5 year horizon will likely see more sophisticated sensor integration and predictive maintenance capabilities, but the fundamental human role in executing rigging operations will persist. The physical nature of the work and critical safety requirements create natural barriers to full automation.

Construction companies like Turner Construction and Bechtel are already implementing AI-powered project management systems that optimize rigging schedules and resource allocation. Manufacturing giants such as Boeing use AI-enhanced planning tools for complex assembly rigging operations, while entertainment rigging companies are adopting smart monitoring systems for load tracking and safety compliance, demonstrating how AI serves as a productivity multiplier rather than a replacement technology.

Task-by-Task AI Analysis

TaskAI Status
Test rigging to ensure safety and reliability.
Requires physical inspection, tactile feedback, and real-time safety judgment that AI cannot provide.
Human Essential
5+ years
Signal or verbally direct workers engaged in hoisting and moving loads to ensure safety of workers and materials.
Critical safety communication requiring immediate human judgment and situational awareness.
Human Essential
5+ years
Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment.
Requires precise manual control and real-time spatial awareness in complex environments.
Human Essential
5+ years
Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques.
Demands complex spatial reasoning and immediate physical response to changing conditions.
Human Essential
5+ years
Select gear, such as cables, pulleys, and winches, according to load weights and sizes, facilities, and work schedules.
AI can assist with load calculations and equipment recommendations, but final selection requires human expertise.
AI Assists
1-2 years
Dismantle and store rigging equipment after use.
Requires physical manipulation and proper handling of complex mechanical equipment.
Human Essential
5+ years
Attach loads to rigging to provide support or prepare them for moving, using hand and power tools.
Critical safety task requiring precise manual attachment and verification.
Human Essential
5+ years
Manipulate rigging lines, hoists, and pulling gear to move or support materials, such as heavy equipment, ships, or theatrical sets.
Requires direct physical control and real-time adjustment based on load behavior.
Human Essential
5+ years
Align, level, and anchor machinery.
AI-enhanced measurement tools can assist, but physical alignment requires human precision.
AI Assists
3-5 years
Install ground rigging for yarding lines, attaching chokers to logs and to the lines.
Specialized forestry rigging requiring manual dexterity and environmental awareness.
Human Essential
5+ years
Load machines onto trucks to prepare for transportation.
AI can optimize loading sequences and weight distribution, but execution remains manual.
AI Assists
1-2 years
Attach pulleys and blocks to fixed overhead structures, such as beams, ceilings, and gin pole booms, using bolts and clamps.
Requires precise mechanical attachment and structural assessment.
Human Essential
5+ years
Fabricate, set up, and repair rigging, supporting structures, hoists, and pulling gear, using hand and power tools.
AI can assist with design optimization, but fabrication requires skilled manual work.
AI Assists
3-5 years
Clean and dress machine surfaces and component parts.
Routine maintenance tasks can be performed by robotic systems.
AI Can Do This
1-2 years

AI Tools Disrupting Riggers

Autodesk Construction Cloudmedium impact
Project Management
Equipment selection and load calculation tasks
Microsoft Copilotmedium impact
AI Assistant
Documentation and report generation
Procore AImedium impact
Construction Management
Project scheduling and resource planning
Predictive maintenance platformslow impact
IoT Analytics
Equipment inspection scheduling and maintenance planning
Smart sensor systemslow impact
Monitoring Technology
Basic load monitoring and safety alerts
CAD software with AI optimizationmedium impact
Design Automation
Rigging design and fabrication planning

Key Skills

Operation and Control
3.3 / 5
Reading Comprehension
3.1 / 5
Active Listening
3.1 / 5
Critical Thinking
3.1 / 5
Monitoring
3.1 / 5
Coordination
3.1 / 5
Operations Monitoring
3.1 / 5
Speaking
3.0 / 5
Complex Problem Solving
3.0 / 5
Judgment and Decision Making
3.0 / 5
Time Management
3.0 / 5
Equipment Selection
2.9 / 5

Key Tasks

  • Test rigging to ensure safety and reliability.
  • Signal or verbally direct workers engaged in hoisting and moving loads to ensure safety of workers and materials.
  • Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment.
  • Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques.
  • Select gear, such as cables, pulleys, and winches, according to load weights and sizes, facilities, and work schedules.
  • Dismantle and store rigging equipment after use.
  • Attach loads to rigging to provide support or prepare them for moving, using hand and power tools.
  • Manipulate rigging lines, hoists, and pulling gear to move or support materials, such as heavy equipment, ships, or theatrical sets.
  • Align, level, and anchor machinery.
  • Install ground rigging for yarding lines, attaching chokers to logs and to the lines.
  • Load machines onto trucks to prepare for transportation.
  • Attach pulleys and blocks to fixed overhead structures, such as beams, ceilings, and gin pole booms, using bolts and clamps.

Technology Skills Used

Hot + In Demand  Hot Technology  In Demand   ↗ = View AI replaceability analysis

Salary Range

N/A
N/A
Median: $62,060
10th percentile90th percentile

Career Transition Guidance

Riggers possess highly transferable skills in equipment operation, safety protocols, and mechanical systems that open pathways to several related occupations. The strongest transition opportunities include Crane and Tower Operators and Hoist and Winch Operators, where the core skills of load control and safety coordination directly apply. These roles typically require 3-6 months of additional certification training but leverage existing expertise in rigging operations.

For riggers seeking to advance their careers, Millwrights and Mobile Heavy Equipment Mechanics represent natural progressions that build on mechanical knowledge while offering higher earning potential. These transitions typically require 1-2 years of additional technical training or apprenticeship programs. Operating Engineers and Construction Equipment Operators also provide excellent career paths, particularly for riggers with construction experience, requiring similar timeframes for certification.

Structural Iron and Steel Workers and Industrial Truck and Tractor Operators represent alternative paths that utilize riggers' understanding of load dynamics and safety protocols. The entertainment industry rigging background translates particularly well to Aircraft Structure and Systems Assemblers roles, though this transition requires more extensive training (2-3 years) due to aerospace certification requirements. All these career paths benefit from riggers' fundamental understanding of mechanical systems, safety protocols, and precise coordination skills.

Related Occupations

Hoist and Winch Operators
53-7041.00
Crane and Tower Operators
53-7021.00
Mobile Heavy Equipment Mechanics, Except Engines
49-3042.00
Industrial Truck and Tractor Operators
53-7051.00
Millwrights
49-9044.00
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
51-2011.00
Operating Engineers and Other Construction Equipment Operators
47-2073.00
Structural Iron and Steel Workers
47-2221.00
Maintenance Workers, Machinery
49-9043.00
Structural Metal Fabricators and Fitters
51-2041.00
Roustabouts, Oil and Gas
47-5071.00
Pile Driver Operators
47-2072.00

Frequently Asked Questions

Will AI replace Riggers?

No, AI will not replace Riggers in the foreseeable future. With an AI Impact Score of 35/100, this occupation faces low disruption risk. The 24,190 riggers currently employed will see AI augment their planning and documentation tasks, but the core physical and safety-critical aspects of rigging work require human expertise and judgment that AI cannot replicate.

What AI tools are used in Riggers roles?

Riggers currently use AI-enhanced versions of Autodesk AutoCAD for planning, Microsoft Excel with AI features for calculations, and emerging smart monitoring systems. Construction management platforms like Autodesk Construction Cloud are integrating AI for load optimization and equipment selection, while predictive maintenance tools are beginning to appear in industrial settings.

What is the salary outlook for Riggers with AI?

The mean annual wage of $62,060 for riggers is likely to remain stable or increase as AI augmentation makes workers more productive and valuable. Companies will invest in training riggers to use AI-enhanced tools rather than replacing them, potentially leading to wage premiums for tech-savvy riggers who can leverage these productivity gains.

What skills should Riggers develop for the AI era?

Riggers should focus on developing their critical thinking, complex problem-solving, and judgment skills, as these rank highest in importance (3.12-3.25/5) and remain uniquely human. Additionally, learning to work with AI-enhanced planning tools, digital documentation systems, and smart monitoring equipment will increase their value and job security.

How many Riggers jobs are there in the US?

There are currently 24,190 riggers employed in the US, with no projected change data available. This specialized workforce serves critical infrastructure, construction, and manufacturing needs that continue to grow, suggesting stable demand despite AI integration in supporting functions.