Keep pulling the thread on Anirudh Devgan.
Anirudh Devgan predicts that AI will be deployed in three major waves: the first is data center AI, the second will be physical AI (robotics, drones, autonomous cars), and the third will be "science is AI" (life sciences and drug discovery).
Anirudh Devgan believes that 2026 will be "the year of physical AI," marking a significant inflection point for the adoption of AI in robotics, drones, and autonomous vehicles.
Anirudh Devgan asserts that the market for physical AI, encompassing robotics and autonomous vehicles, could ultimately be larger than the current data center AI market because it addresses trillion-dollar industries.
Anirudh Devgan argues that even if AI makes chip design 10 times more efficient, the demand for Cadence's tools will not decrease because the workload from increasing chip complexity grows faster than productivity gains.
Anirudh Devgan predicts the semiconductor market will reach a $1 trillion valuation in 2026, four years earlier than the commonly cited 2030 forecast.
Anirudh Devgan projects that the demand for AI inference will increase by 1000x over the next five years.
Anirudh Devgan expects that over the next five years, AI hardware will become 10x more efficient and AI software will also become 10x more efficient, resulting in a combined 100x improvement.
Anirudh Devgan believes the next major technological revolution over the next 30 to 50 years will be the application of computational science and AI to biology.
Anirudh Devgan observes a trend where university enrollment in pure Computer Science is decreasing, while enrollment in combined degrees like "CS plus" mechanical engineering, electrical engineering, or biology is increasing.
Anirudh Devgan advises young professionals that the most effective career strategy is to develop deep domain expertise in a specific area, such as mechanical engineering or biology, in addition to general skills in computer science or AI.
Cadence's software is categorized as "computational software," a highly complex and mathematical type of software that combines computer science with physics and chemistry, making it distinct from simpler applications.
Cadence has established a life sciences division focused on molecular simulation and AI-driven drug discovery software.