Physical AI: The Next Frontier for Industry, Says HCLTech’s Sukant Acharya
- Nishadil
- June 22, 2026
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How Physical AI Will Redefine the Way Companies Compete and Scale
In an interview, HCLTech’s Sukant Acharya explains how the fusion of AI with physical systems—dubbed “Physical AI”—is set to transform manufacturing, supply chains, and beyond.
When you think of artificial intelligence, the mind often jumps to chatbots or data‑driven predictions. But Sukant Acharya, the chief technologist at HCLTech, wants us to look a little closer – to the machines that actually touch, move, and shape the world. He calls it “Physical AI,” a blend of algorithms, sensors and actuators that lets factories, warehouses and even field equipment make decisions on the spot.
"It’s not just about crunching numbers in the cloud any more," Acharya says, leaning back as if he’s explaining a story to an old friend. "The real power is when that intelligence lives at the edge – right where the material is being cut, welded or packed. That’s where the magic happens."
That magic, according to him, will ripple through every layer of industry. Predictive maintenance, for instance, will shift from a scheduled, calendar‑based approach to one that whispers to you the exact moment a bearing is about to fail. Think of a production line that pauses, swaps a part, and resumes without a single human stepping in – all because a sensor noticed a tiny vibration change and the AI model flagged it as a risk.
Supply chains, too, will feel the tremors. Physical AI‑enabled drones and autonomous trucks can adapt routes in real time when weather throws a wrench into plans, while robotic pick‑and‑place arms learn on the fly how to handle new product SKUs without lengthy re‑programming. "It’s like giving the supply chain a nervous system," Acharya jokes, "and who wouldn’t want that?"
But the journey isn’t without hurdles. Companies must invest in robust data pipelines, secure edge devices, and talent that can bridge the gap between software engineers and mechanical engineers. "There’s a cultural shift needed," he admits. "It’s not just about buying the latest robot; it’s about re‑thinking processes, roles, and even the way we measure success."
HCLTech, for its part, is positioning itself as a partner in this transformation. The firm is building platforms that blend digital twins – virtual replicas of physical assets – with real‑time AI analytics. This enables businesses to simulate changes before they ever touch the shop floor, cutting down risk and accelerating time‑to‑market.
Looking ahead, Acharya is confident that Physical AI will become a baseline, not a buzzword. He predicts that in the next five to ten years, the majority of high‑value manufacturing decisions will be made by distributed AI agents, freeing humans to focus on strategy, creativity, and those inevitable coffee breaks.
So, the next time you hear “AI,” try to picture not just a screen full of code, but a robot arm that knows exactly when to tighten a bolt, a forklift that re‑routes itself around a congested aisle, and a factory that can reinvent itself while you’re still at lunch. That, in a nutshell, is the future Sukant Acharya sees – and it’s already knocking on the door.
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