On Global AI Lens | Synopsys' Prith Banerjee Decodes Next-Gen AI & M&A in AI I India AI Summit 2026

Thank you very much, Parikshit, for inviting me to speak to your audience. You mentioned that Synopsys acquired Ansys. I used to be the CTO at Ansys before that acquisition. I'm now leading our innovation across the different portfolios around IP, electronic design automation, and simulation. So, what we are going to showcase is the future of intelligent products. Products in every industry, like automotive, aerospace, healthcare, high-tech, and energy, they're getting transformed by what we say is silicon-designed, software-enabled, and AI-driven — three pillars. So, when you look at a car these days, right? You have a software-defined vehicle where the car is becoming intelligent with the software that runs on the electronic chips that drives these things. And all of those will be AI-driven. So, what we are going to showcase is how Synopsys is embracing the concept of AI. The specific area is what is called physical AI, where it is not just the foundational models of the large language models with words as tokens, but the physics of the world AI models that are around us. And we are going to use that AI to build intelligent products across different industries.

Absolutely. So, Synopsys, our mission is to empower innovators in every industry. And so, let me kind of break it down. Synopsys used to be the leading developer of electronic design automation systems to design the electronic chips that you have heard from that go up to a trillion transistors. We used to help our customers in designing those electronic chips using what is called electronic design automation tools. But these chips are getting more and more complex every day. So, and the pace of innovation is advancing. And so, in order to address the pace of innovation and the complexity, the challenges are so much that we are embracing the power of AI to build with these to address these complexities. So, specifically, we are investing in an area of what is called agentic AI, where if you have engineers that are designing these electronic chips, these intelligent systems, you would run out of the complexity so much you'd require almost a billion people, 10 billion people to design these systems. What we are doing is using agentic AI techniques to build what are called agent engineers to complement the human engineers. So, the combination of human engineers with agent engineers are going to help our customers across different industries — automotive, aerospace, healthcare, high-tech, and energy — to build these incredibly intelligent systems. So, we are embracing the AI technologies, foundational models for physical AI, and agentic AI to help our customers to innovate very, very intelligent products.