Key findings
Generative artificial intelligence (GenAI) is set to impact blue-collar jobs but not transform them entirely.
Blue-collar workers, like riggers, are unlikely to be automated by GenAI due to the physical nature of their tasks.
The demand for premium goods and services may even increase, leading to a rise in income share for these workers.
While some skills used in blue-collar jobs may be automated in the future, tasks like operations monitoring and complex problem-solving will still require human intervention.
The unique automation wave of GenAI will likely shield blue-collar workers from major disruptions, ensuring their continued relevance in the workforce.
How could AI or automation replace or complement job activities?
While AI, automation, or LLMs like ChatGPT could improve certain processes in rigging tasks, they may not fully replace the critical role of riggers.
These technologies could enhance efficiency in selecting gear, controlling equipment movement, and setting up rigging structures.
However, the nuanced decision-making, physical manipulation, and hands-on skills required in ensuring safety and reliability during rigging activities are complex and may not be replicated by technology alone.
For instance, AI could assist in calculating load weights and sizes, streamlining the rigging process, but the hands-on expertise of riggers in aligning, anchoring machinery, and fabricating rigging structures remains irreplaceable.
Job description
Setting up or fixing rigging for various industries such as construction, manufacturing, logging, ships, and entertainment.
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