Top 5 Physical AI Growth Engines Shaping the Future of Real-world Automation
Frost & Sullivan Podcasts
Is your automation strategy built for the conditions your operations actually face?
In this episode of Frost & Sullivan’s Growth Podcast, we explore the top physical AI growth engines shaping real-world automation, examining how AI, robotics, sensing, simulation, and edge computing are creating machines that can adapt, not just repeat.
Hosted by Frost & Sullivan’s Growth Opportunity Analytics team, with Varun Babu (Industry Principal), Sujeeta Tripathi (Research Analyst), and Yogesh Ravichandran (Senior Research Analyst), the discussion is joined by Rudy Cohen, CEO & Co-founder of Inbolt, who brings a practitioner’s view of deploying physical AI on the factory floor.
We look at why reliability has become the deciding factor for industrial adoption, and how intelligent robotics, AI-powered vision, and human-machine collaboration are opening new deployment opportunities. We also discuss how edge intelligence and digital twins are strengthening deployment readiness, and what it takes to turn pilot projects into measurable, enterprise-wide operational value.
👉 What is physical AI, and how does it move automation beyond fixed programming?
👉 Why is reliability becoming the critical requirement for industrial adoption?
👉 How should organizations scale physical AI from pilots to enterprise-wide value?
Designed for manufacturing and logistics leaders, automation and operations executives, technology strategists, and investors, this episode provides a strategic perspective on physical AI and the future of real-world automation.
Explore related research: https://www.frost.com | https://store.frost.com
Connect with our team: hello@frost.com
Loading