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Competition and Collaboration in the AI Race

July 01, 2026 / 11:21

This episode discusses the competitive landscape of AI, featuring Henning Piazunka, an Associate Professor of Management at the Wharton School. Key topics include the nature of competition, collaboration, and the irrational aspects of rivalry in business.

Henning Piazunka explains how the current AI race resembles a Wild West scenario, with companies overinvesting to gain a competitive edge. He highlights the challenges of determining how much to invest in a rapidly evolving market.

The conversation touches on the personal nature of competition, illustrated by the example of CEOs who view rivals through the lens of college rivalries. This irrationality can affect how companies perceive each other.

Piazunka also discusses the blurred lines between competition and collaboration, emphasizing that firms often need to navigate both dynamics simultaneously. He draws parallels with sports, noting that healthy competition can exist alongside collaboration.

Finally, the episode concludes with a reflection on the importance of understanding when to collaborate and when to compete, suggesting that successful firms will be those that manage this tension effectively.

TLDR

Henning Piazunka discusses AI competition, collaboration, and the irrational nature of business rivalries.

Episode

11:21
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The world of AI, many people believe, is a little bit like the Wild West right now, with each company trying to get the
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advantage on the other. But now you are seeing some executives, Microsoft, Satya, Nadella being the latest, talk about maybe
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a slight pullback on the race, and one that will not just have all the companies
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thinking about making sure they have the best AI product. The competition seems to be going past the
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level of healthy rivalry and into a level of conflict that may not be a good thing in the end.
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So what has to happen when competition goes too far? Henning Piazunka is Associate Professor of Management here
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at the Wharton School and has looked at this area. Henning, always great to talk to you.
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It's been a while. Thanks for a few moments today. Good to see you, Dan. Thanks for having me.
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I guess where we are right now, what's going on in AI is kind of this best case scenario to understand these potential concerns
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in what we're seeing in the level of competition going on between these companies.
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Right. So, you know, like, nobody really knows how much you should invest, right?
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Like, you know, it's going to be a big market, but the question is really how much of a market it's going to be.
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Now, you see, like, even without any kind of personal rivalries and stuff like that, it's
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already very difficult to determine how much you should invest. This could be like a winner-takes-all
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market. And so you almost have like a rational overinvestment, so to speak, right?
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Because everybody's competing to be the winner in this market. The other thing you have to take into
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account, what's absorptive capacity? You see, you have to actually invest to learn from others, right?
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So even if you kind of want to be a good second player, you still have to invest tremendously to actually understand what the
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current leader in this race is doing. And then what you're pointing out, you know,
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like, there may also be like personal aspects about it, right? I want to have the best LLM.
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I want to have the best AI. I want to be the first in space, right? So very often what research shows, competition can
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actually become personal. So what are the elements then that separate, I think, what we would believe to be
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healthy competition and what could be a, quote -unquote, destructive rivalry? So then I give you like a project
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I'm currently working on, which I really kind of, what I've enjoyed tremendously, that gives you
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just a feeling for how this kind of sometimes becomes irrational, okay? So we had a look at who actually
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firms consider to be their competitors. And that's obviously a very kind of critical
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choice, right? Like, you know, like how much market overlap do you have today? How much market overlap do you expect in
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the future? Industries might converge and stuff like this. And so there are lots of kind of
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things you have to take into account. And we wondered, okay, how do managers deal
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with this? Okay. And now here comes the kicker then. So what we find is that if the
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CEO went to college, where the CEO of the other company went to college, where they
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had a college rivalry, they are more likely to consider each other competitors. So imagine you have one company where the
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CEO went to Duke and the other CEO went to UNC, all right? Now this has absolutely nothing to do, obviously,
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with the competition where they are today, but nevertheless, they see each other more as competitors.
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And so we outlined this, like we're working on this and we have fleshed this out
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and like tons of robustness checks and the effect hold. So it's a very strong effect that clearly
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shows that there's an amount of, yeah, an element of irrationality in all of this, I
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would say. So how do leaders within companies then deal with these components when maybe collaboration might be
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the better option? So this is, you see, like the way you frame it, right, it's not an either
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or. It can actually be both, right? Sometimes it's competition, sometimes it's competition, and sometimes
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it's collaboration, right? I give you, you see, like one thing that I find very interesting, very often it's
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not particularly clear, even within top management teams of one company, right? Like imagine I ask you, Dan, like, is
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NYU Stern a competitor of Wharton or is it a collaborator, right? And you could make the case like, well,
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it's a competitor because we are like competing for MBA students and stuff, right?
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But you could also say like, no, they're great collaborators, right? We have lots of professors who actually work
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with fantastic NYU faculty. We have hired from NYU Stern, NYU Stern has hired from us.
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So it's actually rather complicated to like, oh, it's just competition or it's just collaboration.
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In many ways, it can often be both, right? Okay. And one thing that research actually finds that
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I've shown in a paper together with Fritjof Stacherenki a few years ago is one thing,
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it's actually not particularly important that you're not competing. What's super important is that you are aligned
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in your understanding of whether you are also competing when you collaborate or whether you're not
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competing. Okay. But you really want to be crystal clear about whether there's also competition going on.
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Do those lines get blurred sometimes in maybe not understanding truly what is competition and what
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is rivalry? All the time, Dan. What we find all the time is that there's misalignment.
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So what one firm would see the other as a competitor, but the other would not see the other as a competitor.
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And this is like completely bizarre outcomes, right? Like sometimes you have these collaboration meetings where
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from one firm, two kind of folks walk into the meetings and from the other firm,
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two folks walk in, but with four lawyers. And then in that moment, you're like, oh,
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you think about this very, very differently than we thought about this. Okay. And it's typically when these kinds of perceptions
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are not aligned, that is really when these kinds of relationships tend to fall apart.
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So you mentioned Duke and North Carolina, and obviously a lot of that rivalry occurs in
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the world of sports. I think a lot of people might say that the world of sports may be able
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to give us a little bit of a better understanding of rivalry versus collaboration, correct?
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Look, in many ways, this is more and more the focus, I will say, at Wharton. Like, we have been looking at this.
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I've been looking a lot of this in my research. I've looked at chess. I have multiple papers on Formula One.
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I have papers on NBA basketball. I have papers on soccer. If any of our listeners here is interested
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in it, don't hesitate. Drop me an email. I'm happy to kind of send all of these papers to you.
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You see, I think there's a tremendous amount we can learn from sports, sometimes about kind
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of the micro-interactions, right? Like, how do you compete and how do you collaborate?
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Or how do these things go off the rails, right? But you see, I would actually go even
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broader than that. You see, in some ways, we can actually learn kind of with respect to politics, like
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in some ways, sport governance is actually superior to like state governance at this point, right?
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You see, like, so we actually have very strong norms that are enforced. Competition is actually rather healthy in sports if
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you compare it to other parts of the market. So I'm, you see, you need to be very aware of the boundary competition.
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Business is not really like sports, right? You see, like, sports has very well-defined
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kind of rules and stuff like this, and business is very often not like that. So you need to understand the boundaries.
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But if you understand the boundaries, you can learn a tremendous amount from it.
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So is then the level of competition we're seeing right now increasing at a much rapider
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pace than we've seen maybe in decades past because of kind of everything that is going
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on in our culture right now? You know, Dan, this is a very interesting question.
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You see, like, I think no matter at which point you go back in time, there's been a book, I believe it's been published
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in 1994, called Hypercompetition, where people basically said like, hey, competition has been so incredibly intense,
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right? This is by Richard Devaney, who used to be at Wharton like a few years ago.
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And so I think we are always complaining about like, oh, competition has gotten so intense
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and competition has gotten so intense. I think it's actually very difficult to kind
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of compare this across time. It does feel like a very intense moment where there's a lot at stake, right?
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You see, I think what has really become more common, and I think that explains it,
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the kind of tremendous dominance of technology company, and these markets are very often the winner
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takes all or at least the winner takes most. And whenever you have like winner takes most
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or winner takes all markets, the competition tends to become very, very intense.
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Well, and I think it's also interesting that when you look at artificial intelligence right now,
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there is obviously the race that is going on with the companies like Anthropic and OpenAI.
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But then you can even go down the chain a little bit and look at the energy infrastructure component.
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And there's competition going on within those companies to be able to gain the space, you
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know, gain those business partnerships with those companies. And so that level of competition just keeps
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going down the food chain. Look, this is something I think people very often kind of underestimate.
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Ron Aitner, an alumni of our PhD program and these days full professor at Dartmouth has
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actually kind of done a lot of research on this, right? When you think about competition, you really cannot
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just think about like one layer of the ecosystem or one layer of the vertical infrastructure.
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What you really have to do is to think about the whole ecosystem. How do you actually create value across the
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complete stack? And so sometimes what you see, sometimes you can have these horizontal competition, but sometimes you
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can have stacks competing against one another, which are really organized in a different manner.
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I'll finish up with this. Is there something then that would kind of, that needs to occur, that would make collaboration
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stand out as a better option in many cases? Or is it just kind of a dynamic of each situation as it plays out?
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You know, Henry Kissinger had this famous sentence, right? Like in international politics, they're really not like
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friends or like they're always just interests. I think what always, what firms always need
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to figure out is where are the spots on which can you collaborate? So we shouldn't think of a world that's
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like, oh, there's competition and there's collaboration. I think this is the mistake that very
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often people do. So then like, oh, it's either competition or it's collaboration.
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And in most cases, it's really both. Okay. Look, this then is also true in all our personal lives, right?
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Like you see, like I actually go with my friends to the same school class, high school class or college, and we are collaborating
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on projects and stuff like this. But at the same time, we are competing for dates and we are competing for becoming
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valedictorian and stuff like this, right? So competition and collaboration just exist.
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And I think the winners will be those who actually navigate that tension the very best
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to understand when do we collaborate, on what do we collaborate, when do we compete, how
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do we compete without actually then kind of undermining the collaboration. So there's never going to be like, it's
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either that or it's that, but it's always a careful navigation of the two and hopefully
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then to find lots of spaces where we can collaborate and then compete effectively.
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Henning, great to talk to you again. Thanks very much for your time. All the best.
00:11:01
Wonderful. Thank you so much. Good to see you. Good to see you as well. Henning Piasunke, who is Associate Professor of Management
00:11:06
here at the Wharton School.

Episode Highlights

  • AI Competition: A Double-Edged Sword
    The AI race is intensifying, but is it leading to destructive rivalry?
    “The competition seems to be going past the level of healthy rivalry.”
    @ 00m 23s
    July 01, 2026
  • Rivalries in Business
    College rivalries can influence how CEOs perceive competition.
    “If the CEO went to the same college, they see each other as competitors.”
    @ 02m 40s
    July 01, 2026

Episode Quotes

  • Competition can become personal.
    Competition and Collaboration in the AI Race
  • It's always both: competition and collaboration.
    Competition and Collaboration in the AI Race

Key Moments

  • Destructive Rivalry00:23
  • Personal Competition01:54
  • Collaboration vs Competition10:06

Tension Over Time

Words per Minute Over Time

Vibes Breakdown