Mung Chiang – Wall Street Journal LTE

Article: The AI Boom Runs on Chips, but It Can’t Get Enough
Word Count: 221 words

Deepa Seetharaman and Tom Dotan’s article “The AI Boom Runs on Chips” (Tech, May 29) is right to shine a light on the proliferation of AI and the chips needed to fuel it. AI will inevitably be transformational to every industry and to everyone: changing how we live, shaping what we believe in, displacing jobs, disrupting education and more that we can’t yet predict—or even fathom. While fueling much of the initial interest and demand, ChatGPT is just a sliver of AI’s potential and the processing power that will be needed to unlock it.

This new and growing demand for the advanced chips that are critical for generative AI systems underscores the importance of and need for a more robust and secure domestic semiconductor supply chain. This is why we must put a sharper focus on developing and retaining top STEM talent in the U.S. by providing and strengthening partnerships between students and the world’s cutting-edge industries. These new university-industry collaborations will help create the “lab-to-life” pipelines that are critical to build the highly skilled domestic workforce we need to meet current demands while also accelerating the deployment of innovative products and solutions in AI and beyond.

AI is here to stay. Now let’s create the semiconductors and workforce to fuel it.

Mung Chiang, Ph.D.

President, Purdue University

West Lafayette, Ind.