Physical AI Powering the New Age of Industrial Operations 2025
Page 19 of 26 · WEF_Physical_AI_Powering_the_New_Age_of_Industrial_Operations_2025.pdf
Emerging roles and tasks across the value chain driven by physical AI FIGURE 5
Physical AI automation frees up humans for higher-level tasks
Operators manually
process and
assemble parts.
Tasks require
precision, manual
machine operation
and full attention.
Changeovers and
packaging are fully
manual and
labour-intensive.Manufacturing
engineers design,
implement and
optimize production
systems, largely
experience-driven.
Updating inflexible
automation requires
high manual effort.Workers manually
move materials using
forklifts or carts.
Human coordination
is needed, leading to
inefficiencies,
accidents and
misplacements.Direct
manufacturing
Material
processing,
assembly and
packaging
Products are visually
inspected by workers.
This is slow,
subjective and prone
to human fatigue.
Random sampling
may miss defects.Reactive or preventive
maintenance
schedules are followed
(independent of
machine conditions).
Engineers rely on
visual checks and
logs, making issues
hard to foresee.Indirect manufacturing
LogisticsManufacturing
engineeringQuality
control Maintenance
Today
AI-enabled robots
perform welding,
assembly and
packaging using
real-time system
feedback. Systems
adapt to product and
task variations
automatically.Production systems
are software-driven,
intelligent and
adaptive. Engineers
plan factories,
integrate intelligent
robots and
visual-based quality
control systems.AI-driven autonomous
mobile robots handle
materials end-to-end,
ensuring the right
parts are delivered
on time.Vision-guided robotic
arms scan every unit
in real time and
perform automated
inspection tests.AI-powered systems
are becoming
self-sufficient, with
robots and drones
handling some
maintenance and
inspection tasks while
continuously
generating data.
– Supervise robotic
workflows
–/uni00A0Train robots for
new tasks
–/uni00A0Resolve exception
cases– Optimize adaptive
system
– Oversee digital
process design
– Cross-disciplinary
integration– Monitor robotic
fleets
– Reconfigure robot
routes
– Manage system
alerts– Strategic oversight
– Audit flagged
defects
– Optimize quality
control– Perform complex
repairs
– Interpret data
– Improve systemFuture
– Systems thinking
– Digital literacy
– Robot programming/
teaching– Advanced digital
and AI skills
– Systems thinking
– Creativity– Systems thinking
– Digital literacy
– Workflow design
and safety– Analytical thinking
– AI and big data
– Creativity– Technical skills
– Analytical thinking
– AI and big dataScenario
SkillsTasks
Source: BCG, World Economic Forum.
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Physical AI: Powering the New Age of Industrial Operations
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