AI Drives New Semiconductor Patent Race Across Computing, Memory and Custom Silicon

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Sept. 16, 2026 –

AI workloads are accelerating semiconductor patent activity, reshaping competition across architectures, memory, GPUs and inference technologies.

By Stefani Munoz, eetimes.com

The demands of AI workloads are pushing conventional chip designs up against limits in thermal management and memory bandwidth, according to a new report published today by IP management provider Anaqua.

In response, legacy chipmakers and cloud hyperscalers are accelerating semiconductor patent filings around custom silicon, next-gen memory, and unconventional computing setups just to keep up with AI’s massive compute appetite.

Macro trends and the timeline lag

If current trends hold, AI could be shifting from a temporary tailwind to the central driver of long-term semiconductor R&D investment.

Over the past five years, patent filings sitting directly at the intersection of AI and semiconductor increased by 114%, outpacing the broader combined sector’s 78% growth, according to Anaqua’s study.

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