In short
Steve Case (AOL co-founder) compares the early Internet era to today’s AI boom, arguing AI adoption is fast because connectivity already exists, but policy and societal backlash are arriving sooner than in the 1990s. He also discusses AOL’s go-to-market tactics, venture/IPO valuation shifts, and lessons from the AOL–Time Warner merger.
Guest backgrounds
Steve Case is AOL co-founder and former CEO; he later became an investor (Giant/ Revolution/ Revolution Places mentioned). He also references investments in Clear (biometrics for airports) and Tempest (AI for oncology).
Key claims
AI’s “overnight” user growth is misleading; it took decades of research. Policy debates (Washington/Brussels) must balance innovation vs risk. Big tech has structural advantages in core LLM platforms; the opportunity is “vertical AI” via partnerships. IPOs now occur later at far higher valuations, harming retail investors.
Notable examples
AOL started in 1985 when ~3% of people were online; it used free trial disks and pushed PC makers to include modems. AOL went public in 1992 (raised ~$10M) and later merged with Time Warner; he calls it a strategic fit but an execution failure. Clear’s airport/airline partnerships and Tempest’s cancer-hospital partnerships are cited.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOReflections on the Internet and AI
0:45 to 3:05
Steve Case discusses the parallels between the early internet and today's AI landscape.
“In the mid-90s when things started taking off for a bunch of reasons, in retrospect, why it took so long.”
The Evolution of Venture Capital
3:05 to 6:00
Exploration of how venture capital dynamics have changed from the 90s to today.
“I think the size of those rounds that you raise, and you are the pioneering company of the internet era compared to today, is definitely illuminating.”
Early Days of AOL - Strategies and Challenges
6:00 to 9:35
Steve shares strategies AOL used in its early days and the challenges faced.
“Well, we were definitely early at the time.”
Competing with Giants in AI
9:35 to 12:23
Discussion on the challenges of competing against established tech incumbents in AI.
“there was a few other venture-backed startups, but not that many.”
The Importance of Partnerships in AI
12:23 to 14:00
Steve emphasizes the role of partnerships for startups in the AI space.
“So that one is basically, you know, whether it be the Googles or the Microsoft or others have really been the leaders there.”
The Importance of Partnerships in Tech
14:00 to 15:24
Learn how strategic partnerships can enhance technology companies' success.
“and their ability to kind of enter markets more quickly with more credibility.”
Lessons from the AOL and Time Warner Merger
15:24 to 18:08
Understand the strategic lessons learned from the AOL-Time Warner merger and its challenges.
“So going back again in history to a moment, which in many ways marked the top of the kind of first, I guess, internet bubble, your merger with Time Warner.”
Comparing Tech Bubbles: Past and Present
18:08 to 19:16
Explore the differences between the internet bubble of the 2000s and the current AI boom.
“Is your kind of pattern-matching antenna going off at this moment in time?”
Navigating Technological Disruption and Backlash
19:16 to 24:28
Discuss the societal impacts and backlash against technological advancements, especially AI.
“When the dot-com crashed, some people said, ah, the Internet's a fad.”
Balancing Innovation and Societal Impact
24:28 to 26:10
Learn about the need for a balanced approach to innovation that considers societal consequences.
“Yeah, you've been pretty consistent that you think AI is a long-term benefit, but in the short term, perhaps pretty destructive to jobs.”
Show all 14 chapters
Personal Reflections and Defining Moments
26:10 to 28:00
Hear about Steve Case's pivotal moments and experiences that shaped his life and career.
“I think overall the impact of AI will for sure be significant.”
The Value of Real Experiences in a Tech World
28:00 to 29:14
Learn about the importance of authentic experiences in a technology-driven era.
“Places, which actually is recognizing that in a world where there's more technology, there's more AI, people are going to really value real people in real places, having real authentic experiences.”
Innovation Opportunities in a Pivotal Time
29:14 to 30:28
Discover what industries present opportunities for innovation amidst technological advancements.
“So if there's something there, you know, healthcare or something else that you're particularly passionate about, that would certainly be one.”
Identifying Resilient Industries in the Age of AI
30:28 to 32:52
Explore sectors that may be less disrupted by AI and the potential for human-centered businesses.
“And I think there is something to that strategy.”
Transcript
Automatic transcript. May contain errors.0:00Steve, welcome to Giant Ideas. Great to have you here. Great to be with you. Okay, we're going to take a walk down memory lane and really talk about what your founding of AOL in the 90s can teach us about the current moment. So you started AOL in 1985 when there were a tiny fraction of people online. Today, everyone agrees that AI is the great platform shift. When you look around today, what feels similar and what feels entirely different? Well, it's as you'd expect the mix. When we started in 85, as you mentioned, only 3 % of people were online. Those 3 % were online an hour a week. Most people didn't think the internet would ever take off.
0:37Most people didn't think it would ever be mainstream. It was more like a niche hobbyist hacker kind of market. And it really took a decade from the time we got started to the point where it started building momentum. In the mid-90s when things started taking off for a bunch of reasons, in retrospect, why it took so long. But it was certainly frustrating at the time. And I think with AI, it's sort of at one level, it seems like an overnight sensation, you know, with ChatGP, GPT launching three or so years ago, getting to 100 million users in 90 days. But in fact, it took 75 years baking in the oven because AI has been worked on by some in labs for literally decades, even longer than the Internet.
1:17So it's sort of a, the difference is it was very, very slow for the buildup of the internet, faster on terms of the adoption of both consumer enterprise adoption of AI because all these platforms have built, all the connectivity existed. So when you had something interesting, a lot of people can adopt it really quickly. The other dynamic, which is sort of startling for me, is when we launched AOL, our first round to get going, the first round of venture capital was$1 million over seven years. We raised a collective toll, grand total over seven years, several rounds of$10 million. We went public in 1992, the first Internet company to go public.
1:57In our IPO, we raised another$10 million. And now, of course, companies are getting seeded with a billion dollars and going public at a trillion dollars. So that is certainly different. And the last point I'd say is I'm more on the policy, politics side of it. when the Internet was coming out and started to build in the 80s, in particular the 90s. There was a debate about what the right public policy should be in terms of what the rules of the road should be, what sort of guardrails should be. But because it was growing so slowly, the general sense was sort of a light touch regulation made sense until we saw more cards.
2:36AI obviously is growing quite rapidly. The adoption is really kind of astronomical, which is forcing folks, whether it be here in Washington, D.C. or Brussels or other places, to say, OK, what should we do here? And obviously, there's a tension between just letting it rip and trying to maximize innovation but take some risk or going too far the other direction and constraining things prematurely. And so the policy debate is now happening faster with AI than it did with Internet. I think the size of those rounds that you raise, and you are the pioneering company of the internet era compared to today, is definitely illuminating.
3:13Another stat I heard was you guys took nine years to get to a million users, which was a huge number at the time. I think ChatGPT got to 100 million users in a year or so. Do you think that that? No, even SAG, it was like three or four months. So no, it was crazy. And, you know, again, venture capital back then in the 80s, there was a small number of firms writing relatively small checks. And the only companies that really could get funded were companies that were viewed as pretty capital efficient. Now there's so much more money. You can take some bigger bets. And obviously that's what you're trying to do at Giant.
3:49So that's positive. You know, more innovation can happen. The part that I'm not as wild about is these companies, whether it be SpaceX now at$2 trillion or Anthropic OpenAI, probably going public around$1 trillion. That's great for those companies. It's great for those investors. But it's not great for retail investors. One of the things I loved about AOL was when we went public, the market value that day was$70 million. Seven years later, when we were merging with Time Warner, it was$160 billion, something like 11 ,000 % increase. that one's in the pockets of retail investors. And so the fact that companies are going public much, much, much later at much, much, much higher valuation, there's some upside, but a lot of downside for the public investors.
4:33And that part of it doesn't, I don't allow. But obviously I celebrate innovation. I celebrate entrepreneurship and I certainly celebrate these recent successes that are not going public. Do you think that reality and phenomenon will reverse and there will be more opportunity for retail investors to, I mean, you could see, I guess, with Robinhood and the likes, that is, there is a bit of a tide moving against that where people are getting access to some of these companies in the private markets. Well, I'd say, yeah, certainly the late stage private markets have been so robust that it did give access to capital that was unprecedented.
5:07And so there was less of a need to go public. And in my era, you really raised, you know, and we weren't alone. I mean, we were a little bit lower at 70 million, but Microsoft, Amazon, NVIDIA, all went public around 500 million. And so these rises to the trillion-dollar-plus level, again, happen in the public markets. I do think the IPO market window, if you will, is opening. There are clearly dozens of companies, some of which we're involved in, that are confidentially filed to go public. And so I think you'll see a pretty robust IPO market over the next 6, 12 months, assuming these big, big IPOs hold.
5:46So going to the early days of AOL, you were really ahead of the wave. How did you in those early days distinguish from when it wasn't necessarily so easy from being too early or whether you were right on the money? Well, we were definitely early at the time. As I said, a small market. There weren't too many competitors. Most people didn't see it as being that big a market. I remember having a big debate with the personal computer manufacturers at the time, the IBMs, the Apples of the world. because when we started, in order to get online, you needed to have a modem in your computer. And modems shipped as a peripheral device.
6:26For the first decade, you had to buy a computer and then decide, I want a modem and go buy a modem and plug it in and figure out how to make it work. Otherwise, that was not a connected computer and you couldn't access, obviously, the internet. And you had some quite creative ways of trying to get people connected, right? From a marketing standpoint. Well, the first time, we're trying to get those modems built in. And so we'd be debating this with the PC manufacturers, build the modem. Then they said, why would we build the modem in? Only like 20 % of people who buy computers end up buying modems.
6:54So why would we make it, you know, raise the cost to everybody when only a few want? I said, well, we actually think that's the killer app of the personal computer. And eventually they did it. And eventually that's when things started accelerating. We also, as you know, were very aggressive in trying to get our free trial disk. At the time we launched, most of our competitors were charging for the software, charging upfront fee to join the service. We said we're going to make the software free and give people a free month because we believed that they actually took the time to try our service.
7:23They'd fall in love with it and become ongoing subscribers. And that worked well. We distributed a gazillion free trial disks and really kind of slammed their foot in the accelerator trying to drive adoption. And you were 26 at the time, right? Going up against the balance. Yeah, when we started, I was 26. Yeah. What gave you the confidence to do that? You've said, I think, many times that confidence is a key criteria of successful entrepreneurship. Take us back to 26-year-old Steve Kaye saying, I'm going to take on these titans. Well, I think some of it was probably youthful naivete, which I think is sometimes healthy.
7:56I think I thought it'd be easier that it turned out to be. But I really did believe in the idea of the internet, which, again, of course, seems obvious now, but the time seemed kind of crazy, quixotic. And so I just couldn't get it. I didn't know exactly how it was going to play. I didn't know exactly how our company would work, whether we would even survive. But I believed in the idea of people getting connected. I believed in the idea of communicating in new ways with texting and message boards and chat rooms. I believed that content would eventually be distributed in different ways. I believed e-commerce would eventually happen.
8:33So I just fundamentally believed, which I think gave me on the team we had, that sort of the, you know, the grit, this, you know, the kind of stick-to-itiveness to stick with it because, you know, it seemed like that idea eventually was going to happen. Sometimes it felt like the light was in the tunnel, into the tunnel, it was flickering, and sometimes people were adding more tunnel because it just seemed like it was hard to really break out, but fundamentally believed eventually it would happen. And so I think it was a combination of that, But, you know, kind of just 26, you know, kind of being willing to take the risk, able to take the, you know, the risk coupled with really fundamentally believing that the idea was a sound idea.
9:15And somehow, some way we would, you know, get the world online. That core insight and that belief in the Internet that allowed you, I guess, to outmaneuver the incumbents who, I guess, perhaps were a bit slower to seeing the value of it. or yeah, I'm just trying to figure out how you just bit, maybe a bit more tactical, how you outgun these guys with so much less capital. Well, I think the main thing was there was a few other venture-backed startups, but not that many. Most of the big players were, were, as you say, the incumbents, a big force like AT &T, the largest, you know, phone company or CompuServe and the source for, you know, two of the early, early pioneers.
9:52One of them was owned by H &R Block. GE, General Electric, was launching a service called Genie. Microsoft was planning to enter the market with their own service. So there were kind of big companies trying to figure out what to do about this emerging opportunity, but they didn't see it as that big an opportunity. They didn't necessarily put the A-team on it. They didn't necessarily kind of devote the time to it, which is always a challenge with large companies. They have a lot of priorities. And for us, there was one priority, which is staying alive and trying to figure out some path to thrive for others.
10:26There's a bunch of things on their agenda. So they should have prevailed. They had great brand names. They had obviously unlimited capital compared to what we had, but they just didn't have the same passion. They didn't have the same focus. It also helped, though, because in retrospect, I think it helped because it was growing so slowly. It wasn't like everybody was trying to get into it. People just thought it was sort of this niche thing. I'd go to personal computer conferences. some of the PC forum and agenda and things like that in the 80s, even the early 90s. There'd be hundreds of people there, all of them focused on hardware and software and, you know, chips.
11:05You know, like I was a guy focused on the Internet for many of those years. So it was kind of lonely at one level, but also that was not as hyper competitive as it became, you know, 10 years later when suddenly there was a gold rush mentality around the Internet. So, you know, if you're early, I think the lesson is sometimes revolutions happen in more evolutionary ways and you really have to be patient and be a little bit of a contrarian. But that also means that you might have the opportunity to build some capabilities before everybody else piles in. Well, history doesn't repeat, but it rhymes.
11:38But we're back to chips these days now. That's the focus. But I think one thing that has changed is, you know, you were up against maybe sleepy or slower incumbents. But the incumbents today, the Googles, the Metas, the Navidias, the Amazons, they are so on the ball, right, for every kind of technological transformation. They're at the forefront, again, of this AI one. So in some ways, I think there's stiffer competition than 40 years ago from the incumbent leaders. So what do you think applies today from some of the lessons from AOL? And what do you think people maybe misunderstand about AI where there might be an opening?
12:11Well, I'd say it's hard to take on the big boys in sort of the core platform AI, sort of the LLM side of things, because that's really, you know, kind of like$100 billion plus ante to play. So that one is basically, you know, whether it be the Googles or the Microsoft or others have really been the leaders there. Thankfully, they have some new companies, obviously Anthropic and OpenAI in particular, But OpenAI largely, I think, because of the partnership and the money from Microsoft that really fueled their growth. So on that side of things, I think definitely the big tech incumbents have a big structural advantage and does result in essentially big tech getting bigger.
12:57Where it's now shifting quite rapidly is what I think is more like vertical AI as opposed to more platform AI. And that's where the technology meets the real world. And that's where it's not just about what you're building. It's how you then integrate it into these industries, health care and transportation and agriculture, big, big sectors, big, big important aspects of our lives. And the incumbents there are a little bit different, not just the tech giants in places like Silicon Valley. It's also the leaders in health care like UnitedHealth in Minnesota. And so how do you work with those incumbents as an entrepreneur?
13:35I think partnerships are going to become much more important in this next phase, what I've called the Internet's third wave. And you're seeing that kind of take hold where the incumbents recognize things are happening, recognize they need to move, don't necessarily have the team in place. and the agility to move. So see the value of partnerships and the younger companies see the value of those partnerships as well as accelerating their growth and their ability to kind of enter markets more quickly with more credibility. Now, partnerships are hard, so it's tricky to form those. But I think you're seeing more and more of that.
14:09Some of the companies we back, like Clear, the biometric technology now, a public company that allows you to move through airports more quickly, kind of a fast pass. that, you know, that biometric technology is interesting, but it was the partnerships they formed with the airports, the airlines, with the transportation authorities that really resulted in the value creation. Similar back to company, also public now called Tempest, using AI focused on oncology and other kinds of things. Again, the core technology they built was terrific, but the partnerships they formed with the leading cancer hospitals, so that in data they're able to ingest is what really makes that company kind of work.
14:46And that dynamic of partnerships, I think, becomes much more important. So as entrepreneurs, I think part of this is saying, okay, who are you competing with? And is there an opportunity for some co-opetition? Rather than assume they're going to be a competitor, is there some way to align with them? And that was a philosophy I had in the early days of AOL. I said, everybody's a potential competitor until they start shooting at us and then we'll say, okay, they're a potential partner until they start shooting us and then we'll have to redefine them as a competitor. But leaning into this and trying to kind of co-opt big, big players and have them on your side, I think is very important.
15:23Okay. So going back again in history to a moment, which in many ways marked the top of the kind of first, I guess, internet bubble, your merger with Time Warner. It has been described as the worst business deal or merger of all time, which I think is perhaps not fair, but looking back on it, what do you think people misunderstood? Do you regret it? Any lessons for entrepreneurs listening to this today? Well, I think it's fair to say it was the worst merger because it didn't work. Ultimately, it had to be unwound. It wasn't the worst merger, I'd say, for AOL shareholders, which was my job. If I recall the deal, it was over 25 years ago, but our shareholders got 55 % of the combined company and our valuation had soared from, I mentioned 70 million when we went public and 160 billion when we did the merger.
16:13I think a year or two before the merger was like 20 billion. So it gone up dramatically. And so we really felt it was strategically important to use that currency, if you will, to have a more diversified set of businesses. And we also believed it was strategically critical that we were the leader, AOL was the leader of narrowband dial-up internet, but we didn't have a real path to broadband. So merging with the largest cable company in the United States, which also had these content brands and had a much more diversified business, I think we had$30 billion of revenue, and we were like$5 billion of revenue, something like that, it strategically made a lot of sense.
16:47And to this day, I still think strategically makes a lot of sense. And some of the things we said we could do 25 years ago have become companies like Spotify and Netflix and other things that absolutely could have been part of AOL Time Warner. But the lesson really is about execution. You know, the vision of what these companies could do together, the vision of convergence of technologies, I think now is pretty obvious. The fact that the company wasn't able to capitalize on its assets and its lead ultimately came down to people and priorities. There was a culture clash between the old and the new and sort of the more traditional business models and new business models.
17:27It never really came together as one company, never really had much collaboration, never had much integration, and as a result, ultimately had to be unwound. And so to me, that was a rather searing lesson that kind of knowing where you want to go is important. But having a path to get there with the right people on the bus and the right seats working together in the right way is really where the rubber meets the road. And I've tried to carry that lesson forward in the things we've done more recently. Would you do it again? Yeah, we'll do it again. Just from an AOL standpoint, as CEO of AOL and representing shareholders, it was strategically the right thing to do, even if it didn't work out the way, obviously, I and others were hoping.
18:07And you've been in a previous bubble, the internet bubble. Is your kind of pattern-matching antenna going off at this moment in time? Yeah, no, obviously, things have changed, and the scale of the revenues that companies like Anthropica are achieving is staggering. There are a lot of companies going public around 2000 that essentially had no revenues. It was more kind of an idea on a napkin or talking about how many people were using their product, but they hadn't figured out a path to monetize it. So that is quite different. The scale of the revenues are really quite extraordinary now, and the growth rates are quite extraordinary.
18:42That said, as I said earlier, the valuations are up there. And so there is likely at some point to be a correction and a sorting out. And that's like a healthy process. Having more things funded, more things form, more things scaling, I think is great. But eventually there is a winnowing process. And I think we'll inevitably see that in AI and probably in the next year or two, three. But that doesn't mean that, as I said before, the continued pace and arc and momentum around innovation won't continue. And that happened with the Internet. When the dot-com crashed, some people said, ah, the Internet's a fad.
19:21I guess we should pull back and stop investing. That was exactly the time to double down because the Internet wasn't a fad. And what's happened since that, you know, the last 25 years has been staggering. And so I think there's a difference between how markets evolve and some of the cycles of those markets, how consumers and enterprises adopt, you know, kind of technologies and how investors, you know, kind of underwrite that, whether as private investors or public investors. And, you know, you shouldn't confuse the two. They're really two separate things happening and you have to kind of take a step back to make sure you understand that.
19:55How has it been for you as both an entrepreneur and investor living through the 90s and then living through this current era? How would you describe the cultures between those two decades? Well, it's obviously venture capital has grown up. Entrepreneurship has grown up. When I was starting AOL and I was 26, it was viewed as kind of weird and kind of risky. Most people were working for big companies or big consulting firms or big banks or what have you. Entrepreneurship was more fringy. Now it's more mainstream. More people take that path when they graduate. And obviously, there are a lot more investors as well.
20:29So it's matured in a significant way. At the same time, some of the core fundamentals about being curious, kind of peeking around corners, getting a sense of what you think might happen next and deciding, Is it something you so, you know, have so much conviction about, so much passion about that you want to be part of making it happen when jumping in either as an entrepreneur or as an investor to try to kind of steer it? So that dynamic, I think, remains the same. And I think there are opportunities, as we were talking about, because of the fact that these new sectors, the biggest industries in the world, the most important aspects of our lives are now up for grabs.
21:07That creates an unprecedented level of innovation disruption. And so the opportunity of the next 10, 20 years are going to be just phenomenal. Yeah, one thing I would observe is that, I mean, technology entrepreneurs have always been, I think, at the forefront of culture over the last 20 years. you were on, I think, the cover of quite a few magazines back in the day. But the centrality of technology to culture, both the economy, but also kind of softer culture, I think, is really accelerated over the last decade, I'd say. I'd say that's true. But it's also, I think, a growing backlash against technology and particularly focused on around AI.
21:43I think we need to be a little careful and bring some humility to this, because sometimes when we all are talking, as we just were talking about, disruption is a good thing. Well, for a lot of people, disruption is a bad thing. It means job loss for their family, job loss for their community. And there's a growing backlash around technology, use of smartphones and social media, AI, what the impact is going to be, robotics, what's the impact going to be? Is it sort of going to be more of this dystopian world where there's a lot of job loss and so forth? And that's starting to bubble up. Even this recently, last month or so, a number of people making commencement speeches when they mentioned AI got booed.
22:22And I think you're going to see this as a growing political issue, maybe even one of the beyond affordability, one of the core issues in the next, you know, in the United States, the next presidential kind of campaign. Because there is a dynamic here that is building. That's part of the reason why we've been so passionate over the last decade in arguing for the disperse of innovation. don't just back companies in Silicon Valley, back companies all across the country, what we call rise to the rest. Now we've made over 200 investments in 100 different cities. That's partly an investment thesis where there are great entrepreneurs building great companies and valuations tend to be lower so we can generate great returns.
22:57But there's also a broader purpose to it, which is the biggest job creators are young companies, the innovators, you know, the startups under five years old. And so backing more of them in more places, creating more jobs in more of those places will offset, at least in part, at the job loss, it's inevitable from disruption, including from AI. And so we've got to make sure people all across the country, all across the world, see the benefits in their own lives, in their own families, in their own communities of what's happening with technology. Otherwise, you're going to see a growing and potentially very significant backlash that could hobble the development of some of these technologies just as they're starting to take flights.
23:36I think we all need to celebrate what's happening and, you know, cheer on what's happening in terms of the innovators, you know, kind of, you know, taking these risks and taking these shots on goal and trying to figure out better ways to deliver health care, better ways to think about farming, better ways to, you know, manage money, whatever it might be, but also recognize that, you know, with that disruption, it creates, you know, dislocation and frustration and anger. And, you know, we just need to figure out a balanced way as a society to get the benefits of innovation, but make sure there is a more inclusive innovation economy, not just a few people on the coast benefiting and everybody in the middle of the country, you know, feeling left out and left behind.
24:15Otherwise, we're going to have a real political revolution in this country and around the world that could set back the pace of technology innovation quite a bit. So it's just about, you know, I think it's about balance and nuance and, as I said, maybe a bit of humility as well. Yeah, you've been pretty consistent that you think AI is a long-term benefit, but in the short term, perhaps pretty destructive to jobs. And I guess that is another cultural kind of difference maybe from the 90s. I would say technology perhaps had a slightly more idealistic kind of, yeah, view on things than maybe it does now.
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24:51Would you agree with that? Yeah, I agree. And some of this is new technologies. Initially, people don't really pay attention. And when they start paying attention, a lot of people are kind of skeptical. It's not really going to work. And it finally starts getting some traction and growing. People start paying more attention. Then it really kind of starts taking off, sort of the dot-com boom kind of era. Maybe we're in that with AI now. Then it's sort of like this gold rush. Everybody wants to be part of it. And people only see the upside. They don't see the downside, either from an investment standpoint or from a societal standpoint.
25:25And then it settles out a little bit. And the Internet, I'm proud of the role we played in getting America online, getting the world online, and the impacts it's had in so many ways that are really quite profound. But I also recognize there are some unintended consequences, some things that happen, including what's happened with social media and some of the mental health issues related to that. We didn't really think about that 30, 40 years ago. We were just thinking about, oh, we can figure out different ways people can communicate, different ways people can create and distribute content. How can that not be all positive?
25:55And so just to me, the lesson there is focus on the positives, but also recognize and pay attention to some of the negatives and try to maximize the positive and hedge against some of the negatives. And that's going to be the necessary conversation with AI as well. You know, recognize all the different things it's doing that can, you know, make things work better in our lives, but also recognize there are going to be some, you know, some downsides to it. I think overall the impact of AI will for sure be significant. There will be some new jobs that we can't imagine today will be created. But there also is going to be a lot of job loss and probably the job loss will exceed the job gain, which then again creates more of a societal question.
26:35And what's the right policies associated with that? And we need to engage on those topics, not just have our head in the sand and ignore them. And we asked this question of all our guests that come on the show. If you had three photographs that defined your life or important decisions or moments, what would they be? Good question. I feel like I've had a little bit of like a Forrest Gump life, having multiple lives and met a lot of people in a lot of different ways. I'm not sure I could pick three. And, of course, I'm super proud of a family of five kids, six grandkids, and probably would pick some of those photos.
27:11But I'd say just in terms of the arc of my business career or life more broadly, I guess, probably one would have to be Hawaii. I grew up in Hawaii, born and raised in Hawaii. I was there for the first 18 years before I went to college. And I think that obviously was kind of a formative experience. experience. The second would have to be something related to AOL, whether it be a photo when there were just a couple dozen of us in a, you know, kind of a mediocre office trying to figure out how to survive or when the company went public and got started its rise in terms of prominence, that would probably have to be one.
27:52More recently, over the last two decades, revolution backed a lot of companies across a lot of sectors, but one area that we're particularly focused on now, which I think is really interesting, is what we call Revolution Places, which actually is recognizing that in a world where there's more technology, there's more AI, people are going to really value real people in real places, having real authentic experiences. We're doing a lot of things in travel and hospitality. Another photo would be just about a year ago, we opened our first resort in Costa Rica. We have a 600-acre peninsula there. We're master planning and opened that with the CEO of Hilton.
28:27And that was sort of a bringing that idea to life. And that would be another one I would put. But yeah, I could give you dozens of those. Those are just a few that come to mind. I have to ask, if you grew up in Hawaii, does that mean you're a mean surfer? I'm a body surfer. I'm board surfing, but mostly body surfing. And I do get back a few times a year. We also have some, you know, some companies in Hawaii. And so that was fun. I actually was just back a couple weeks ago for my 50th high school reunion, which I admit makes me feel a little old, but it was fun to be back. And it's a great school, actually.
29:01In the Forrest Gump-ish coincidences world, I actually went to high school with Barack Obama, who ended up being president. If you were a 26-year-old today, what would you be spending the next 10 years of your life building?
29:17Well, it's hard to generalize because I've learned that different people have different interests, different passions, different skills, and you have to understand not what just the market opportunity is, but how you're really good at and matches up with that. But if you have that innovation gene, that entrepreneurial kind of gene, I think recognizing that we are at a pivotal point in time, that the continued march of technology, including obviously AI, but other things as well, it's going to accelerate the opportunities for that across a whole variety of industries, not just AI from a Silicon Valley-centric, platform-centric, LLM-centric kind of way, but how that impacts more broadly some of the largest industries in the country.
30:01That's a really big opportunity. So if there's something there, you know, healthcare or something else that you're particularly passionate about, that would certainly be one. What's happening in areas like drug discovery is extraordinary. So that would be one set of things. The other set of things, which is what I'm spending more time on now with what we call Revolution Places, is what are the industries, the sectors that AI is not going to disrupt? You know, what are the businesses that are really more defensible in a more AI-centric kind of world. And I think there is something to that strategy.
30:34And for us, that is directed around some of the things we're doing with real estate and hospitality in Hawaii and Costa Rica and with the Exclusive Collective and some other kinds of things. And Barry Diller is a great internet investor, studying with IAC, created dozens of companies, ended up being public. I don't know what the current, hundreds and hundreds of billions of dollars of value creation. Essentially, he's on the same path. His biggest investment now is in MGM, And he's in the process of trying to take it over. And he told me the reason for it is it's an industry that AI can't disrupt.
31:03So either go all in on AI and be kind of one of the pioneers there or kind of take what might be viewed right now as a little bit more of a contrarian view and what are the industries or sectors that either aren't going to be disrupted by AI or like physical places, resorts might actually be advantaged by AI and autonomous vehicles and other kinds of things that make being in places easier and the desire to be in those places with people you care about, you know, even more important. Yeah, I read about Barry Diller taking or making his bid for MGM, I think at 86, which is awesome. But he's got a good nose for what's next.
31:39So I think that's an RA manual as well, starting the events company to kind of, you know, take advantage of, I think, I think brand, like iconic brands, real world experiences. And I think anything that requires the human touch are the non-technology businesses that I think will really sustain. And then I think within technology, we talk a lot about things that require complex coordination or potentially harder tech stuff, right? Where there is some sort of real kind of industrial moat, regulatory moats, I think are another thing. So yeah, it's obviously a discussion in many ICs around the world at the moment.
32:14Which is great. It's not just, you know, what are the technology plays to invest in? But as you said, even this company, we have Exclusive Collector, which has exclusive resorts, since Brado and Fine Stay, these three brands, they're using a lot of technology, but we've learned that with a high net worth audience in particular, you know, there's a lot of decision fatigue and a lot of friction. And there is a desire to have somebody you can trust to make sure if you're planning a vacation with your family or, you know, that nothing's going to go wrong and everything's going to go right. So there's going to continue to be that personal touch in some industries and just understanding which are the ones where you can really move the The needle there, I think, creates opportunities for entrepreneurs and for investors.
32:56As always, when there's great change, there's great opportunity with the bounce of the ball. So, Steve, thank you so much for coming on Giant Ideas again to share your background, your story. It was wonderful to chat. Thank you. It was a great conversation.
From the publisher
Today, we're joined by Steve Case, the co-founder of AOL, to talk about what the first internet boom can tell us about this one.
Steve started AOL in 1985, when 3% of people were online. He took it public in 1992 as the first internet company to list, and now runs Revolution, the firm behind Rise of the Rest and more than 200 investments across 100 American cities.
Cameron McLain talks to Steve about why AOL raised just $10 million over seven years (while today's AI companies are seeded with a billion), why he still thinks the Time Warner merger was the right call, and why he thinks AI needs to be very carefully deployed to avoid a revolution.
He speaks about:
- The nine years it took AOL to reach a million users (ChatGPT took three months)
- Arguing with IBM and Apple about whether to build modems into computers
- Being 26 and taking on AT&T, GE and Microsoft with just $10 million
- Whether he'd do the Time Warner merger again
- The industries AI can't disrupt
Building a purpose driven company? Read more about Giant Ventures at www.Giant.vc.
Music credits: Bubble King written and produced by Cameron McLain and Stevan Cablayan aka Vector_XING.
Please note: The content of this podcast is for informational and entertainment purposes only. It should not be considered financial, legal, or investment advice. Always consult a licensed professional before making any investment decisions.




