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TechCrunch AI 58일 전

AI 사이코시스 논란, 테크 업계의 배척과 딜레마

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최근 실리콘밸리 CEO들이 겪는 'AI 맹신(AI psychosis)' 현상과 대중들의 반발 심리를 분석한 기사입니다. 구글이 검색에 AI를 강화하자 사용자들이 전통적인 정보 검색 시스템의 훼손을 우려하며 DuckDuckGo 등 대안으로 이탈하는 현상이 나타나고 있습니다. 이처럼 거대 기업의 획일적인 AI 도입에 대한 반발이 스타트업에게는 새로운 비즈니스 기회가 될 수 있다는 전망이 제기됩니다.

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Box의 창립자 에런 레비(Aaron Levie)가 이번 주 소셜 미디어 게시물을 통해 테크 CEO들은 '유독 AI 사이코시스(AI psychosis, AI 맹신 증세)'에 취약하다고 언급하며 화두를 던졌습니다. TechCrunch의 최신 Equity 팟캐스트 에피소드에서 커스튼 코로섹(Kirsten Korosec), 션 오케인(Sean O'Kane), 그리고 저(앤서니 하)는 레비의 발언을 분석해 보았습니다.

우리가 주목한 점은, 그가 AI 도구를 부정하는 것이 아니라 단지 CEO들이 그 기술을 제대로 이해하려면 직접 사용해봐야 한다고 강조했다는 것입니다. 이는 졸업 대학생들이 AI란 단어만 나오면 야유를 보내는 현상, 기술 업계 해고로 인한 부정적 여론, 혹은 구글이 검색 경험에 더 많은 AI를 도입하겠다고 발표한 직후 검색 엔진 DuckDuckGo의 설치 건수가 급증한 현상 등 광범위한 반발의 징후들과 비교했을 때 비교적 온건한 회의론입니다.

커스튼은 구글이 "따라잡기 위해 해야 할 일을 쫓고 있지만, 사람들이 브랜드에 가장 큰 애착을 느끼던 핵심 기능을 망치고 있으며 오히려 개선되고 있지 않다"는 딜레마에 직면해 있다고 지적했습니다. 더 나아가 그녀는 "이러한 반(反)AI 시점이 스타트업이나 다른 비즈니스 분야에게 기회가 될 수 있을지" 궁금해했습니다. 길이와 명확성을 위해 편집된 대화 내용을 계속 읽어보세요.

앤서니 하 (Anthony Ha): AI는 믿을 수 없을 정도로 양극화되어 있습니다. 그리고 이것이 토론하기 까다로운 이유 중 하나입니다. 동시에 모든 사람이 그것을 사용하고 사랑하지만, 또 다른 한편으로는 아무도 사용하지 않고 모두가 싫어하는 것처럼 느껴져 약간 미칠 것 같은 기분이 들 수 있습니다. 두 가지 모두 사실인 집단이 상당히 많이 존재합니다.

사용자 측면에서 매우 인상적이었던 점은, 이미 구글의 검색 발표와 AI가 검색의 더 큰 부분을 차지하게 된 것에 대해 이야기했습니다. 비록 구글이 그것을 조금 되돌리려 하거나, 적어도 전통적인 '10개의 파란 링크' 경험을 원할 경우 여전히 그것을 얻을 수 있는 방법이 있다는 식으로 뉘앙스를 추가하려 흔적을 남기려는 시도는 흥미로웠습니다. 그것이 완전히 사라지는 것은 아닙니다. 하지만 많은 사람들이 구글이 나아가는 방향에 대해 흥미를 느끼지 못한다고 생각합니다.

그래서 예를 들어, DuckDuckGo가 설치 건수가 30% 증가했다고 말한 것을 볼 수 있는데, 이는 엄청난 도약입니다. 물론 DuckDuckGo는 구글보다 훨씬 작은 제품입니다. 구글이 당장 어떤 위험에 처해 있다고 생각하지는 않지만, 이는 현재의 AI 방향을 좋아하지 않는 매우 중요한 청중이 존재한다는 징후라고 생각합니다.

션 오케인 (Sean O'Kane): 제가 선도적인 AI 연구소나 AI 기능과 제품을 강력하게 밀어붙이고 있는 기술 기업들을 볼 때 항상 찾는 한 가지가 있다면 말입니다. 저는 그들이 모두 앤스로픽(Anthropic)의 접근 방식, 즉 사람들에게 제공하고자 하는 것이 무엇인지 진정으로 이해하고 그것에 집중하려는 아이디어로 수렴하고 있다고 느껴집니다.

그리고 구글은 실제로 여전히 반대 방향을 밀고 있는 기업 중 하나라고 감히 말씀드릴 수 있습니다. 그들은 많은 다른 일을 하려고 노력하고 있지만, 그것에 대해 너무 모호하게만 대해서는 스스로에게 전혀 도움이 되지 않습니다.

제가 말하고자 하는 바는, 구글이 I/O 무대에 올라가 검색을 변화시킬 방법에 대해 이야기할 때, 그들이 이야기하는 것의 상당 부분이 쇼핑이나 상업적 거래로 끝나는 것들에 대한 이야기라는 것입니다. 우리가, 특히 20~30년 동안 구글을 사용해 온 사람들이 구글을 집단적으로 어떻게 생각하는지를 떠올려보면, 그것은 곧 '정보 검색 시스템'입니다.

구글은 정보 검색 측면을 훼손하고 있을지도 모른다는 반응성 두려움으로 인해 큰 어려움을 겪을 수 있습니다. 이에 대한 그들의 대응은 이렇습니다. "그래, 그것(기존 검색)은 여전히 남아있을 거예요. 그것보다 어떻게 비행기를 예약하는 데 도움을 줄 수 있는지에 초점을 맞춰보죠." 같은 식입니다.

그런 다음 그들은 스스로 발등을 찍어버리는 행동을 하고 나섭니다. 이러한 시스템에 스트레스 테스트(부하 테스트)를 수행하는 것은 매우 까다로운 일임에 틀림없지만, 제대로 검증되지 않은 것들을 마음대로 출시했다가 수년간 겪었던 것과 똑같은 문제에 다시 직면하게 되는 것입니다.

커스튼 코로섹 (Kirsten Korosec): 우리가 막 발표한 훌륭한 기사가 있는데, 내용은 구글이 자기 이름을 어떻게 철자하는지 모른다는 것입니다. 만약 당신이 "'G'에는 몇 개의 'P'가 들어있나요?"라고 묻는다면

원문 보기
원문 보기 (영어)
Listen on Apple Podcasts Box founder Aaron Levie got us talking this week with a social media post suggesting that tech CEOs are “uniquely prone to AI psychosis.” On the latest episode of TechCrunch’s Equity podcast , Kirsten Korosec, Sean O’Kane, and I did our best to unpack Levie’s comment. For one thing, we noted that he isn’t disavowing AI tools, merely insisting that CEOs need to actually use those tools to understand them. That’s a relatively gentle note of skepticism compared to other signs of a broader backlash, whether you look at graduating college students booing any mention of AI , the bad vibes around tech industry layoffs , or the apparent surge of installs at search engine DuckDuckGo after Google’s announcement that it’s bringing more AI to the search experience . Kirsten suggested that Google faces a dilemma where it’s “chasing that thing it feels like it has to do to keep up, but it's messing with the thing that people attach to the brand the most, and it's not improving it.” More broadly, she wondered “if this anti-AI moment is an opportunity for startups or other areas of business.” Keep reading for a preview of our conversations, edited for length and clarity. Anthony Ha: AI is incredibly polarizing. And that's part of what's challenging to talk about, you can feel a little crazy because [simultaneously,] everybody's using it and everybody loves it, but also no one's using it and everybody hates it at the same time. There are large contingents for whom both of those things are true. On the user side, one thing that was very striking, we [already] talked about Google's announcements about search and how AI is becoming a bigger part of search — although it's been interesting to see how Google has tried to walk that back a little bit, or at least add some nuance in terms of, if you want that 10 blue links experience, there are still ways you can get it. It's not going away entirely. But I think a lot of people are not excited about the direction Google is going in. And so you see, for example, that DuckDuckGo said installs are up 30% , which is a huge leap. Now, of course, DuckDuckGo is a much, much smaller product than Google. I don't think Google is in any immediate trouble, but I think that's a sign that there is a very significant audience that does not like the current AI direction. Sean O'Kane: I will say one thing that I keep looking for when I look at all of these leading AI labs or tech companies that are really pushing AI features and products — to me, there seems to just be this collapsing towards Anthropic’s approach, this idea of really trying to understand what it is you want to offer people and sticking to that. And Google is one of the ones that I would say is actually still pushing the other direction. They're trying to do a lot of different things, but they don't do themselves any favors by being so vague about it. What I mean by that is, when Google goes on stage at IO and talks about the way that it thinks it's going to change search, so much of what they're talking about, they're talking about shopping or stuff that ends in a commercial transaction. And I think so much of what we think of Google as collectively, especially people who have been using it for two or three decades, is as an information retrieval system. Google can struggle with that a lot, where they get reactive fears of how they may be damaging the information retrieval side of things, and their response is, “Yeah, but that'll still be there. Let's focus on how it's going to help you book a flight or something like that.” And then they also go off and sort of shoot themselves in the foot by releasing — it must be very challenging to stress test these systems, but they go out and they release this stuff and they're running into the same problems they've run into for years. Kirsten Korosec: We had a great article that just published about how Google doesn't know how to spell its own name . If you ask it, “How many P's are in Google?” it says two. It's this tension between: Google is chasing that thing it feels like it has to do to keep up, but it's messing with the thing that people attach to the brand the most, and it's not improving it. What I'm wondering is, we've already seen some early evidence of people's fingers doing the voting or walking for them, by literally going to another service. But I wonder if there are opportunities for other startups out there or culturally speaking, if this anti-AI moment is an opportunity for startups or other areas of business that we haven't really thought about. Anthony: Absolutely. Again, it's probably a challenge because there is such a range of opinions. And if you build something that's tailored for a group that's skeptical [of] AI, then you're probably going to alienate other users who are much more evangelistic or gung-ho about it. But I think that's just the moment we're living in. And you can see in how DuckDuckGo is promoting itself, that they're very much emphasizing this idea of being anti-AI, which I find very striking because I've mentioned before, [I’ve been] moving away from Google myself, trying out other search engines. And I would say that a year ago, when I started that exploration, even these alternative search engines were still trying to experiment with AI features, emphasizing AI to some degree because they also thought they had to do it. And now I think they're seeing that there is actually a lane to be like, “No, we just were not interested in that stuff at all. Or inasmuch as we're doing it, we're very much putting it in a separate sandbox that's not going to affect your core search experience.” Kirsten: I think we unfairly sometimes categorize all the tech CEOs as force-feeding people AI. And there's at least one tech CEO who has come out and said, “I think that there's a little bit of psychosis among other tech CEOs around AI.” I'm talking about Box founder Aaron Levie, who has come to Disrupt many times and is a friend of TechCrunch for sure. He made these comments about how CEOs are uniquely prone to AI psychosis because they're sufficiently, and I'm reading this, “distant from the last mile of work that still has to happen to generate most value with AI.” I thought that was really interesting. And I'm wondering if there are other CEOs out there who agree with it. I also wonder, as part of that shift of thinking about what has to happen to generate the most value, if they're also thinking about how their workforce is changing, which is our other topic today — [not] just about the AI divide, it's also how AI is changing work. And we've seen, certainly, some of the bad news side of that, and that is a lot of layoffs. But I think also, we're seeing big changes in how people work. I'm wondering in the areas that you two cover, if you're seeing evidence of that, because I don't think it's just in the quote unquote “AI startup sector” or the big tech companies. Sean: As far as the companies that I cover, a lot of them tend to be working on, if not physical transportation, then stuff adjacent to it. And it's seemed much slower there than it is, unsurprisingly, on the software side of things. We're starting to see some of that changing. We've talked on the show a little bit about Mind Robotics, which is the spin out from Rivian CEO RJ Scaringe. And, you know, there's certainly more AI being applied to physical infrastructure and manufacturing and robotics and self-driving. I think the software side is where it's really changing things, where you have people whose job is just directly tied to producing code. Anthony: Part of the question, I think, [involves] both AI adoption in companies and then AI-driven layoffs — to what extent are they top down or bottom up? Because I think a lot of other transformations in the workforce in the last couple of decades have at least been, to some extent, bottom up: These are tools that people actually like to use, they bring them in, and then at a cert