Why physical AI pilots stall - the TCS worldview as autonomy runs into accountability
Physical AI pilots are stalling in enterprise — and it's not the robots, it's accountability.
Why it matters
As enterprises move autonomous systems from lab to production, deployment barriers are shifting from technical capability to organizational and liability frameworks. A TCS manufacturing executive explains why the pilot-to-production gap remains the bottleneck.
The key facts
9 to knowTCS President of Manufacturing Anupam Singhal on enterprise physical AI adoption
Physical AI pilots struggling to reach production scale
Accountability and governance identified as key barriers (not pure capability)
Published September 2026 — suggests this is near-term deployment reality
TCS (Tata Consultancy Services) manufacturing leadership offering enterprise perspective
Pilot-to-production gap identified as accountability/liability issue, not technical capability
Physical AI (robotics/autonomous systems) deployment challenge framed as organizational/governance problem
Manufacturing sector as test case for enterprise AI scaling
Autonomy vs. accountability tension as adoption blocker
Go to the source
diginomicadiginomica.com
Publisher excerpt: TCS President of Manufacturing Anupam Singhal unpacks why enterprises struggle to realize value from physical AI and how they're trying to cross the chasm from pilot to production.