As AI scales from devices to networks and data centers, semiconductor strategy is shifting beyond raw performance toward energy efficiency, distributed intelligence and new connected experiences

The Symposium showed AI’s shift from concept to deployment in engineering workflows, with domain-specific SLMs emerging as the smarter, cost-efficient alternative to LLMs for PLM and R&D environments

As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions

As AI scales across enterprises, its impact goes beyond models, automation and productivity: it is fundamentally reshaping how organizations understand, manage and extract value from their assets

Automotive, AI and industrial sectors are demanding faster, more sustainable semiconductor innovation and collaboration across the ecosystem, from chip design to fab operations

As software becomes central to automotive, OEMs must evolve from ECU-based systems to scalable SDVs enabling continuous updates, AI features and new revenue streams with strong safety and security