The impact of AI is extensive, from revenue generation to operational efficiency.
- AI (73%) extended its lead as the top application driving revenue, followed by Cloud/Data centers (61%), Wireless communications (57%) and Automotive (56%).
- Memory (including High Bandwidth Memory) has surged 18 points year-over-year to become the industry's top product growth opportunity, tying with long-time leader microprocessors (67% and 66%, respectively).
- Over the next 12 months, two-thirds of leaders (66%) plan to use AI to augment productivity and free employees for higher skilled work (with no headcount reduction). When asked how they are ensuring they have the talent it needs to achieve their growth goals, the majority (54%) said they are leveraging technology, AI and automation to optimize workforce productivity.
- While Gen AI adoption is most prevalent in IT (44%), the adoption strategy for Agentic AI is far less concentrated, with adoption spread across IT (21%), Marketing/Sales (21%), Customer Support (19%) and R&D/engineering (19%).
- While concrete plans are still emerging, future Gen AI deployments are focused on procurement and supply chain, whereas IT and Customer Support are the leading areas for planned Agentic AI implementation.
“Semiconductor leaders are focused on where AI can deliver immediate and measurable impact.” said Cecil Mak, U.S. Sector Leader, Technology at KPMG. “It’s not just about designing the next generation of chips—it’s about making complex operations smarter, more resilient and more efficient while freeing talent to focus on innovation.”