Understanding the Debate: Are Tech CEOs Suffering from AI Psychosis?
Box founder Aaron Levie got us talking this week with a social media post in which he pointed out that tech CEOs are “particularly vulnerable to AI psychosis.”
Decoding Levie’s Insights on AI
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to decipher Levie’s comment. For one thing, we found that he doesn’t oppose AI tools, just insists that CEOs need to actually use these tools to understand them.
The Growing Backlash Against AI
That’s a relatively gentle tone of skepticism compared to other signs of a broader backlash, whether looking at the valedictorian students booing any mention of AI, the bad sentiment surrounding layoffs in the tech industry, or the apparent surge in installs at search engine DuckDuckGo following Google’s announcement that it would introduce more AI into the search experience.
Kirsten suggested that Google faces a dilemma in which it is “chasing what it seems it needs to do to compete, but in doing so it attacks what people most associate with the brand and fails to improve it.” More broadly, she wondered “whether this anti-AI moment represents an opportunity for startups or other business sectors.”
Polarizing Nature of AI
Anthony Ha: AI is incredibly polarizing. And that’s part of what’s so difficult to talk about, you can feel a little crazy because [simultaneously,] Everyone uses it and everyone loves it, but also no one uses it and everyone hates it at the same time. There are large contingents to which both apply.
One thing really caught our eye on the user side [already] I talked about Google’s search announcements and how AI is becoming a bigger part of search. However, it was interesting to see how Google tried to take this back a bit or at least add some nuance. If you want the 10 Blue Links experience, there are still ways to achieve it. It won’t go away completely.
But I think a lot of people aren’t excited about the direction Google is going. And so you see, for example, DuckDuckGo says installs are up 30%, which is a huge jump. Now, of course, DuckDuckGo is a much, much smaller product than Google. I don’t think Google is in immediate trouble, but I think this is a sign that there is a very significant audience that doesn’t like the current AI direction.
Challenges in AI Implementation
Sean O’Kane: I will say one thing that I always look for when I look at all of these leading AI labs or technology companies that are really pushing AI features and products: To me, there just seems to be a breakdown in Anthropic’s approach, this idea of really understanding what you want to offer people and sticking to it.
And Google is one of those that I would say is actually still pushing the other direction. They’re trying to do a lot of different things, but they’re doing themselves a disservice by being so vague about it.
Google’s AI Strategy
What I mean by that is this: When Google takes the stage at IO and talks about the way it thinks it’s going to transform search, they’re largely talking about purchases or things that end up in a commercial transaction. And I think that Google is largely an information retrieval system, especially for those who have been using it for two or three decades.
Google can often struggle with this because they get reactive fears that they’re going to damage information retrieval, and their response is, “Yeah, but that’s still going to be there. Let’s focus on how it’s going to help you book a flight or something like that.”
And then they go and sort of shoot themselves in the foot by letting go – it must be a big challenge to stress test these systems, but they go and let this stuff go and they run into the same problems they’ve had for years.
Opportunities in the Anti-AI Movement
Kirsten Korosec: We had just published a great article about how Google doesn’t know how to spell its own name. If you ask, “How many Ps are there in Google?” it says two.
It’s this tension between: Google is chasing what it seems it needs to do to compete, but it’s conflicting with what people most associate with the brand and it’s not improving it.
What I’m wondering is that we’ve already seen some early evidence of people’s fingers voting for them or leaving by literally going to another church service. But I wonder if there are opportunities for other startups or if, culturally speaking, this anti-AI moment is an opportunity for startups or other areas of business that we haven’t really thought about yet.
Anthony: Absolutely. Again, it’s probably a challenge because opinions vary so much. And if you build something tailored to a skeptical group [of] AI, then you’re likely to annoy other users who are much more evangelistic or enthusiastic. But I think that’s just the moment we’re living in.
And you can see from the way DuckDuckGo promotes themselves that they really emphasize this anti-AI sentiment, which I find very striking because I’ve already mentioned: [I’ve been] I myself have moved away from Google and tried other search engines. And I would say that a year ago, when I started this exploration, even these alternative search engines were still trying to experiment with AI features, emphasizing AI to some extent because they thought they had to too.
And now I think they’re seeing that there’s actually a way to say, “No, we just weren’t interested in this stuff at all. Or by doing it, we’ll put it in a separate sandbox that won’t interfere with your core search experience.”
Tech CEOs and AI Adoption
Kirsten: I think we sometimes wrongly categorize all tech CEOs as people who force-feed AI. And there’s at least one tech CEO who has said, “I think there’s a little bit of psychosis among other tech CEOs about AI.”
I’m talking about Box founder Aaron Levie, who has come to Disrupt many times and is certainly a friend of TechCrunch. He commented that CEOs are particularly vulnerable to AI psychosis because, as I read this, they are “sufficiently removed from the last mile of work that still needs to be done to generate the most value with AI.”
I found that really interesting. And I wonder if there are any other CEOs out there who agree. I also wonder if, as part of this rethinking of what needs to happen to generate the most value, they are also thinking about how their workforce is changing, which is our other topic today – [not] It’s not just about the AI divide, but also about how AI is changing work. And we’ve certainly seen some of the bad news, namely a lot of layoffs.
But I also think we’re seeing big changes in the way people work. I’m wondering if you see evidence of this in the areas you both cover, because I don’t think it’s just the “AI startup sector” or the big tech companies.
AI’s Impact on the Workforce
Sean: Many of the companies I support deal, if not with physical transportation, then with related things. And it seemed to be a lot slower there than on the software side, which isn’t surprising.
We’re starting to see some of that change. We talked a little on the show about Mind Robotics, the spinout from Rivian CEO RJ Scaringe. And you know, there’s certainly more AI being used in physical infrastructure and manufacturing and robotics and autonomous driving.
I think things are really changing on the software side, where there are people whose jobs are directly related to code production.
Top-Down vs. Bottom-Up AI Adoption
Anthony: Part of the question, I think, is [involves] Both the adoption of AI in companies and AI-related layoffs – to what extent are they top-down or bottom-up?
Because I think a lot of other changes in the workforce over the last few decades have been bottom-up, at least to some extent: these are tools that people actually like to use, they bring them in, and at a certain point the executives and IT managers accept that.
There is a feeling that many of them [belief that there are going to be these] AI productivity improvements seem to be embraced by executives — or, if you’re at a startup, probably the VCs who fund you — who love the dream that you can be as effective with just a small team as a company with a much larger team.
And I don’t think that’s necessarily impossible, but I think Aaron’s point is essentially that if you don’t actually touch the final work, how would you know? He’s also not someone who says we should just throw away all AI tools, but rather he says that you have to actually use these tools and understand what they do. You can’t just look at a slide and say, “Yeah, incredible efficiency, here we go.”
Conclusion
Kirsten: Well, I think there’s a lot of real evidence that these companies are using these tools and that it’s having a direct impact on workers in terms of layoffs and also the way they work. The two truths apply here.
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