Rebuttal to the AI Disrupts Software Theory: Cadence (CDNS.US) Leader Claims AI is a Growth Turbocharger Rather than a Threat

Anirudh Devgan, President and CEO of global electronic design automation (EDA) leader Cadence (CDNS.US), stated on Tuesday that artificial intelligence (AI) is a growth driver for this chip design software company, rather than a threat. Devgan remarked, "Combining AI with Cadence is akin to adding a turbocharger. Our foundational tools are like a V6 or V8 engine, and AI itself cannot perform these tasks independently." Despite a thriving semiconductor industry and robust financial reports released in July, Cadence's stock price has still fallen by 11% over the past year. The stock has been caught up in a broader sell-off of software companies due to investor concerns that AI could disrupt traditional software firms. However, Devgan contends that these worries overlook Cadence's irreplaceable role in designing increasingly complex chips that are powering the expansion of AI. "We are an indispensable part of the semiconductor industry," said Devgan. Cadence provides software and other tools for designing semiconductors, establishing partnerships with major chip makers including NVIDIA Corporation and Intel Corporation. As chips become more complex and more tech companies begin designing custom chips, Devgan anticipates that demand will continue to grow. "The demand for our products is only increasing and will continue to grow over the next 5 to 10 years," he stated. Devgan pointed out that AI cannot replace Cadence's core tools because designing advanced chips (some of which contain 200 billion transistors on a 3-nanometer process) requires precise physics and mathematics. Instead, Cadence is integrating AI into its products to help customers explore more design possibilities and create more efficient chips. "What customers want is to enhance chip performance. If it's 3 GHz, they want to reach 3.5 GHz; if it's 10 watts, they hope to adjust to 90 watts," Devgan said. "This is an optimization problem, and AI can offer more scenarios we can run to improve performance." In addition to the current boom in data centers, Devgan sees greater opportunities in "Physical AI" (applying artificial intelligence to machines that interact with the real world). He identified autonomous vehicles, drones, and Siasun Robot & Automation as key prospect markets, all of which require specialized chips and increasingly complex electronic systems. "In the coming years, the number of electronic devices and semiconductors in cars is expected to grow tenfold, creating a large number of new customers," Devgan stated. He sees even greater potential opportunities in the Siasun Robot & Automation field, calling humanoid Siasun Robot & Automation "the largest product category ever."