Physics-Driven AI for Electronics Design
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White Paper
This paper examines how leading R&D organizations are redefining ROI in PCB design—moving beyond traditional cost metrics to measure innovation velocity, iteration throughput, and competitive positioning. Through analysis of current automation implementations, it reveals how physics-driven approaches deliver compound returns: from 10x iteration speed improvements to measurable reductions in design bottlenecks. The findings demonstrate why automation ROI extends beyond financial calculations to encompass engineer productivity, resource allocation efficiency, and the ability to explore design spaces previously considered uneconomical.
Key Takeaways
Beyond Cost Savings: The Strategic Returns of PCB Automation