In an era where technology is evolving at breakneck speed, the conversation around compute paradigms is more critical than ever. Recent discussions between chip giants TSMC and Samsung Semiconductor about building megafactories in the Middle East highlight a pivotal shift in semiconductor industry. As we embrace Generative AI applications, the demand for power-performance efficiency is rising. This is not just a challenge; it’s an opportunity for innovation. As board directors, you must "own" full stack AI Strategy Direction by prioritizing tailored AI use cases and the infrastructure that supports them. Here are a few key considerations: First, optimizing performance while managing costs is essential. Investing in in-house designed custom silicon can create significant synergies for the value creation. Second, engage and ensure management tackles the memory and networking latency issues that hinder system performance. Leveraging chiplets and exploring in-memory compute technologies must be part of your roadmap. Lastly, let’s not forget the future. Emerging compute paradigms like photonic and quantum computing could revolutionize the time to market needs. Ensure CHRO has a seat on the table to prepare for these changes by developing internal software, algorithms, and coding skills. As I always say, talent drives everything -strategy and risk. The time to act is now. What are your thoughts on the future of compute paradigms? I’d love to hear your insights in the comments. Kara Reinhardt Andrew Barker Mukesh Khare Beth Albright, NACD.DC #CEO #KSgems #BoardOversight #AIstrategy #AIinfrastructure #Sustainability #EnergyEfficiency #Infrastructure #AI #TechInnovation #FutureOfWork #CIO #CTO #CISO #CHRO