Physical AI Edges Closer to Real-World Deployments
Physical AI just crossed the chasm. Capgemini data shows real deployments, not pilots.
Why it matters
Physical AI (robotics + foundation models) is moving from R&D labs into production workflows at scale. This signals a major shift in how enterprises are allocating AI capex and talent—away from pure software, toward embodied systems.
The key facts
8 to knowCapgemini report on physical AI deployment trends
Businesses transitioning from experimentation to implementation phase
Published April 20, 2026 — timing suggests emerging market inflection point
No specific deployment numbers, company names, or financial figures provided
Capgemini report: businesses moving physical AI from experimentation to implementation phase
Physical AI defined as robotics and embodied AI systems entering production environments
Signals enterprise capex shift toward hardware-integrated AI stacks
Timing: April 2026 — suggests 2-3 year maturation cycle since major model breakthroughs
Go to the source
AI Businessaibusiness.com
Publisher excerpt: A new report from French IT consulting firm Capgemini found that businesses are rapidly moving physical AI from experimentation to implementation.