Transcript
A (0:00)
In order to understand what I think are some of the most important questions of the 2000 and twenties and perhaps beyond, we have today with us one of the premier practitioners in the field, Dan Kim. He spent a while at USITC with stints at Qualcomm and SK before returning to government as the chief economist for the CHIPS Program Office. He recently left and is now at Tech Insights along for the ride today as well. Chris Miller of Chip War Today we're going to talk about perhaps the most important and impactful case study of American industrial strategy in generations. How the CHIPS act took a broad, vague mandate from Congress and a few dozen billion dollars and tried to turn that into something that would deliver on economic development and national security. And sort of going through that case study, then try to generalize out what are some bigger principles for what government should be doing in regards to these themes. Dan, welcome to ChinaTalk. This is a long time in the making.
B (1:12)
Well, thanks for having me here.
A (1:14)
When you get the mandate to try to help conceptualize what that CHIPS Program office should be spending money towards, what was your thought process? Where did you begin?
B (1:28)
Well, first of all, thanks for having me. And I understand you actually don't do outro songs anymore, at least ones that are copyrighted. But if I were to choose an outro song, yeah, if I were to choose one, it would be Mad City by Kendrick Lamar. And we could get into why later in the program, Secretary Raimondo did ask me to come in and, and we had a chat about how to draft up a strategy from a blank piece of paper and executing it. And so she was asking the same questions that you're asking, which is how do you conceptualize this? Obviously there were mandates from Congress as to why they passed it and what to pass it on. There were some specifics, like you need to spend at least $2 billion and matured no technologies. But beyond that, there weren't too many prescriptions as to what a good looks like, what success looks like, and how will we have known that it worked. And remember, this is in the middle of COVID induced supply chain shortages. There were parking lots full of unfinished cars near Detroit. In fact, I heard from some executives that there were unfinished Carnival cruise ships, billion dollar ships that couldn't be finished because of $2,000 worth of accessory chips, the way they called it. And when I was meeting with the secretary while I was representing a company, the question was how soon can you get another fab online? There was not a recognition that there was not a memory shortage at the time that it was mostly shortages of other less advanced chips, things like MCUs and other things like that that couldn't finish a car. And so there was just this feeling of we need to get a little bit more of a handle on supply chains and make sure that you have a steady supply of things. And again, we remember at the time that we couldn't make masks either, ppe. So that was the tenor of it at the time. At the same time, ChatGPT was launching and I recognized immediately that as we were executing chips that if we were in an upcycle, a demand driven up cycle, that in the middle of the execution there would be a down cycle. Right. That there would actually be a glut in the supply chain, not a shortage. At the same time, we're trying to build more supply. This was going to be tricky. And so we needed to have a very nuanced view of what good looks like and how to execute that good. And I think the first assignment they gave me to do was to write what's called a vision for success paper which essentially told the world. And I think you actually had a podcast about this, Jordan. I listened to it and I was tempted to come on to explain why we wrote what we did, but I. But essentially to explain what we're going for and what good looks like. So in it, we explained that we wanted at least two competitive clusters of leading edge logic manufacturing. We wanted to go for a mature node, we wanted to go for advanced packaging. Some focused on specialized technologies like compound semiconductors and others, some interpret that as well, why don't you just ask for everything? But if you look at it carefully, we couch the language very carefully to communicate with potential applicants and, and with Congress and to the world about what we were aiming for. And we were aiming for a lot. The paper I wanted to initially write, Jordan, was not about necessarily what we're hoping to achieve, right, what good looks like, but actually a diagnosis of how we got here in the first place to try to describe the disease that we're trying to cure rather than what a healthy patient looks like. Right. And I think, Chris, you would have really enjoyed writing that because it's kind of a historical view of, well, if we're at 10% of manufacturing capacity now in semiconductors, but we started with 100% when we invented the thing and about 40% in the 1990s, how did we get here? And so the initial draft actually had some discussion about how the United States missed out on the foundry model and why, how we effectively outsourced all of memory production and why and if that was a bad thing, to what degree. Right. And a discussion as about what's critical and what's not. We scrubbed that version because we didn't want it to be a historical lesson and we wanted to have some targets out there for people to gauge. And so somewhere in the archives of the Commerce Department there is that version setting. And maybe at some point I'll resurrect it with you, Chris. But I think we needed to sort of understand how did we get here and why is it a problem that sort of underlies a strategy of what then a good then looks like. So that was the initial thinking going in. And then one of my favorite sayings that Mike Schmidt had quoting Mike Tyson, was everyone has a strategy until they get punched in the face. And we will get punched in the face like about 500 times because we have 500 potential applications coming in and we were way oversubscribed and we had no prior experience as a government to execute something like this. But looking back though, I think it turned out quite well. But we had lots of questions we needed to answer along the way, which I think is going to be the topic here in this podcast, as to how do you define economic security? How do you define national security? How do you measure it? Because we had to measure it to some degree or at least have a framework around it because we needed to make priorities because we didn't have infinite dollars. So some applications.
