Why Roomba Died + Tech Predictions for 2026 + A Hard Forkin’ Xmas Song
63m 30s
The transcription covers various topics, starting with Juliette discussing favorite New York Times game "Connections". Casey Neum recounts being rescued from a ride at Disneyland. The conversation shifts to Colin Engel, former CEO of iRobot, explaining the company's bankruptcy and failed acquisition by Amazon, attributing it to competition and strategic decisions. The discussion delves into the impact of regulatory actions on the tech industry and American innovation, highlighting the importance of nurturing American robotics companies for future economic growth. Overall, the conversation provides insights into the challenges faced by tech companies and the implications for the future of American technology and manufacturing.
Transcription
10484 Words, 56592 Characters
Hi, I'm Juliette from New York Times Games and I'm here talking to fans about our games. So you play New York Times games? Yes. Do you have a favorite? Connections. H's Scratch is an H in my brain. It's really out of the box thinking of that game. I play with my husband every night. I refuse to let him play it without me. I love that it's like a real-life connection. Yes. While you guys play connections, it's very sweet. I promise I didn't play that. New York Times Games subscribers get full access to all our games and features. Subscribe now at nytimes.com/games for a special offer. Casey, what's going on? Well, Kevin, I want to get ahead of something before you and all of our listeners read this in the tabloids. I did have to get rescued off a ride at Disneyland this weekend. Come on. Yeah. Really? Yeah, we were over there at Tiana's Bayou Adventure. That's the recently rebranded Splash Mountain. And we were just about to go up the big hill and come down for the big splash when the ride broke down. And after 20 or 30 minutes, some very nice people came and walked us out of the Bayou Adventure through the sort of backstage area. And I won't say that it was scary, but there is something sort of embarrassing about having to be pulled off of the log flume. Wait, you're not kidding. This is an actual thing that happened here. This is a real thing that happened to me. And this is part of the story of technology is that you can have suspended your disbelief and you think you're floating through a magical Bayou Adventure. But in reality, Kevin, the tech could break in any second. And then you're going to have to get pulled off by a man and a hook in his arm. Yeah, it sounds like instead of going on the Bayou Adventure, you almost went on the Bayou Adventure. I'm Kevin Rousseau, tech columnist at The New York Times. I'm Casey Neum from Platformer. And this is hard for this week by Robot, Roomba co-creator Colin Engel joins us to talk about why the iconic vacuum company went bankrupt. Then our 2026 tech predictions. And finally, we're going caroling. A hard forking Christmas makes its annual return. Gloria, get my earplugs. Well, Kevin, as we kick off the show this week, a legendary American company is entering an exciting new chapter. Unfortunately for them, it's chapter 11. That's the bankruptcy chapter. That's correct. On Sunday, I robot maker of the Roomba filed for chapter 11 bankruptcy after finding itself outcompeted by a bunch of Chinese fast following companies. Yes. So this is one of the longest running robotics companies in the world. I robot was started in 1990. The first Roomba came out several years after that. And it has been sort of synonymous with the whole category of the household robot vacuum. But as you mentioned, they have been running into some issues in recent years. You could say they've been bumping into wall. Yes. And in 2022, they had their biggest obstacle, their biggest wall, which is that it looked like I robot was going to get acquired by Amazon. One made an offer to buy the company for $1.7 billion. But anti-trust regulators in the US and the EU stepped in and said, we don't like this and we're going to attempt to block it. That made the deal kind of fall apart and in 2024, they officially walked away and the company now is bankrupt. They kind of zoomed away, you know? They could turn around and scoot it away. And we should say, I think this is a fascinating story, not just about a company that made an iconic product and then fell on hard times. But of the complicated balancing acts and trade-offs involved in regulating the American tech sector. Yeah. And one of those trade-offs, Kevin, is that now I robot will be owned by a Chinese company named Pisia Robotics, which is its largest creditor and a competing design manufacturer. And there are now those who say, hey, this is actually a much worse outcome for us because now there is no longer an American company that is making a very popular household robot. And instead, this is one more category of manufacturing that we seem to be seeding to China. So all of that gives us a lot of good reason to talk to the founder and former CEO of Irobat Colin Engel. Yeah, Colin co-founded Irobat in 1990 after working at MIT's AI laboratory and eventually went on to serve as CEO of the company for 33 years. He stepped down in 2024 after the attempted Amazon acquisition fell through. And today he is making a case that basically Irobat was a casualty or roadkill, as he put it, the direct result of misguided antitrust enforcement by the US government and a tragedy for American innovation. Yes, but as you will hear, he is also willing to admit that he did make some mistakes along the way. And that gives us a rare opportunity, Kevin, because usually when CEOs come on this show, they want to make the case that they are one of history's greatest geniuses and that they are about to change the world for the better for all of us. It is much rarer for a CEO to come on and say, hey, look, here are some of the hardest calls I had to make and here are some of the ones I got wrong. Yeah, so in order to hear his angle, let's bring in Colin Engel. Colin Engel, welcome to Hard Fork. Great to be here. So we've invited you on today to talk about Irobat, the company that you started and ran for many years, the maker of the iconic Roomba robot vacuum. And to start, I'd like to kick things off with just the most basic question possible. Why did Irobat go bankrupt? You know, it's a complicated question, simple to ask, hard to answer, and we led the world, we invented the category of consumer robotics back at the launch of the of the Ruben 2002. And for 17, 18 years, really grew the category and then, you know, as it got more competitive and the world changed, we had to change with it. So ultimately, the bankruptcy is something that happens when you need some external help to take the next step in the chapter of development. Liam McCabe at the wire cutter who's reviewed house cleaning robots for a long time argued recently that Irobat hit its peak in 2018 with the release of the Roomba I7 Plus, which could clean specific rooms on command and automatically dump the contents of its dustbin into its own dock. But shortly after that, Chinese competitors began to pull ahead, including Robo Rock, which I think became Irobat's biggest Chinese competitor, entered the US market in 2018. What were the core problems in your view that started to erode that market leadership? You know, it's certainly the advent of this new type of competitor, the Chinese fast follower who had access to the Chinese marketplace, which Irobat effectively did not for various pragmatic and political reasons, gave a protected market to cut your teeth on for the competition. I also think that the marketplace was not a level playing field as I described. What do you mean by not a level playing field? Do you mean the ability to sell in China specifically or is there something else? Yeah, Irobat was, you know, for a small period of time, Irobat was the leading manufacturer of vacuuming robots in China, then it stopped because China decided that this was a market of interest, and they were going to ensure that Chinese companies were advantage to succeed there. You know, the Chinese government provided subsidies, direct subsidies to our competitors, and we have to overcome that as well. So, you know, when an emerging marketplace, you know, it's a cage match, and it certainly got hard, and it, you know, it got increasingly competitive. So, you know, companies need to adapt, and ultimately we were open to other strategies to enable us to continue to do it, which is why when Amazon came and said, hey, we think we have a vision that is compatible with your vision, it made a lot of sense, and we were excited. And we want to talk about the acquisition, but I have one more product question first. Sure. And I want to say, like, it's really hard to invent a whole category until, like, be a market leader for, like, 18 years, and as you say, like, competition is brutal, and so I do appreciate you're just, like, you know, sitting through our questions about, you know, about some of the difficult decisions that you had to make along the way. Some of which didn't turn out, right? This is just something that happens to CEOs, but I think there's one question that comes up over and over again when you read the, the sort of Rumba obits, and it is that Rumba relied on cameras stand around and not LiDAR, this sort of next generation technology. And it seems like the Chinese competitors really embrace LiDAR, and consumers prefer that over time. So while you were the leader, you guys didn't embrace LiDAR. And I'm curious what role you think that played in all this. You know, it's, I'm entertained by the question. Because it's wrong. It was wrong that it's wrong now. I mean, does your autonomous driving vehicle have a LiDAR on it? No. Why? Right. Because it is a dead end technology, which gives you no situational awareness. Wait, but Waymo's have LiDARs on them. I mean, this is sort of the classic Waymo Tesla divide, sort of, sort of shut down to the household robot. Well, sure. Then call it the Rumba Rock. I robot divide. And under my leadership, I was playing the Tesla card, which said, I will put every penny of COGS in the Rumba against better visual understanding. Because I believe at the time, this was very publicly stated, the Rumba with a camera could understand what it was doing, could understand what it was doing, a good job or a bad job, and could play a role as the hub of a smart home in a way that a robot driven by a LiDAR could not. Because the maps that you make with a camera are more rugged and robust to moving furniture. And, you know, we explicitly decided not to put LiDAR on Rumba because it took away from the COGS that I could put against CPU and other technologies. And so this was not the, why did you fail to innovate? This was a strategy. Right. I guess I'm not contending that most consumers care whether their robot vacuum uses LiDAR cameras. I don't think most people know. I don't think most people care. I certainly had bought Rumba's for my first apartments and homes before I knew what technology was running on them. I just care, does this thing clean my floors or not? And I think, you know, over time, there started to feel like a gap between Rumba's and some of these Chinese competitors with other features, things that were unrelated to navigation, things like does this thing have a wet mop as well as a vacuum in it? Can there sort of be these other features that can maybe make this thing a little more useful or require a little less oversight? So are there other features that the Chinese competitors and other competitors introduced into their robots that you wish the Rumba had adopted earlier? So honestly, we got wetmopping wrong. We built our first mopping robot two years after Rumba, and we felt like creating an independent mopping solution was the right strategy, and it gave the best customer benefit. It did the best job. You guys have been having a separate robot that mops the floors than the one that vacuumed the floors? Yeah. We called it scuba, and, you know, we built it. It worked great, but the customer didn't go for it. It was never going to work as an independent product, but it was going to work as an incremental feature, and we reacted late, and we took some damage and had to do some rugged hustling to go catch up. So, you know, I deserve arrows for the for mopping. I believe that the light art people are still wrong, and I just wish we had moved faster and had a longer runway before that could that led to a great place? Let's say, I feel like we sort of miss the middle of the story, which is the attempted sale to Amazon. You mentioned it earlier, but I kind of want to revisit that. So in August 2022, Amazon offers to buy iRobot for $1.7 billion. It ultimately falls apart over antitrust concerns. I think some people look at that, and they think, "Well, that seems fine, because Amazon's already plenty big, and I don't want it to own, like, you know, every vertical of e-commerce in existence. But I imagine that you may feel quite differently. So make your case that this was a bad outcome for America that iRobot was not able to become a part of Amazon." Well, that's pretty easy. We got to a point where, for very good and understandable reasons, the market pressures and the competition led to an economic model where iRobot was fighting itself pressured to innovate. And, you know, iRobot was a proxy for the United States because we were the only public company doing consumer robotics and so that if you were a fan of having consumer robotics, being an industry where America could claim leadership, you needed iRobot to continue to be able to invest like big dogs and create innovations that was going to give consumers the choice that they were asking for. And so the challenge was the acquisition seemed to become all about Amazon and not at all about consumer preference, leadership and the consumer robot industry and doing what the European Commission and the FTC are charged with doing is defending the worst abuses of monopoly. I mean, at the time, iRobot's market share in Europe was 12% and declining. The market leader in Europe was a company that had been in the marketplace for three years. That's kind of the definition of a vibrant, dynamic marketplace. How do you even create an argument that says there are monopolistic forces, antitrust forces that are at play here? What was the room as market share in the US at the time? I'm just curious. I mean, it was hanging around 50% okay, so not like an overwhelming monopoly, but a dominant player in the market. And the market share, unfortunately for us at the time, was going down. Well, there was multiple healthy competitors that were seeing their market share going up. Again, very difficult to say, okay, this is a monopolistic position. In your view was the failure of the antitrust regulators that they kind of misjudged what kind of acquisition this was, that this was more of a lifeline or something strategic to sort of let the company keep operating from a place of weakness rather than sort of Amazon trying to gobble up a company on the rise that was sort of going to enable it to extend its dominance into another area. It would be impossible for me to believe that anything was missed. I mean, I robot spent tremendous amounts of its own resources and Amazon spent many, many times what I robot spent over the course of 18 months doing our best to make incredibly clear the facts and circumstances regarding the acquisition. There was nothing unsaid and there was no g golly, I wish we had asked that question, but we did. So why did it get blocked? It wasn't ignorance. One concern that came up a lot at the time was I robots famously use these cameras and there were worries that Amazon was just going to have detailed views inside the homes of many, many Americans and this could be used for some targeted advertising or just other uses that people might find creepy. Of course, now we're in a world where it's going to be owned by a Chinese company and so all those same images are going to be in China. I'm curious, what was the conversation around that at the time with those regulators and did you float the possibility that like, look, if it's like not Amazon that has access to this data, it might be something that you like even less. You know, I think that we and to my knowledge, continue to have incredibly rigorous privacy and security. In fact, images never leave the robot, you know, we defended in depth, meaning that all of that use of cameras was all done on the edge on the robots. No image ever left the robot unless you gave explicit permission to the exact image that we showed you that we were going to share all opt in and I robot adheres to the highest level of cyber and security. We were the first consumer product company to ever meet the requirements of sort of the gold standard and data security. So if it wasn't the privacy concerns that you think led the FTC to block this acquisition and if you don't think it was ignorance on their part, what was it? Why do you think the government stepped in to prevent this merger from happening? I have no logical answer to that question. I do not believe there is any economic rationale, which would say that the FTC or the European Commission had any evidence that the consumer was going to be negatively harmed by the acquisition of I robot by Amazon. I believe that, passionately, the consumer only lost and so that if that's not the reason, why did the Fetal Trade Commission with the Commissioner Lena Khan outspoken in her opposition of being tech, choose to take a position contrary to the formal charge of the FTC to protect the interests of the consumer and answer it with your own gut. What is your own gut? I believe I robot had nothing to do with the blocking of the deal with the FTC. That it was essentially just Lena Khan didn't want Amazon to get bigger and that was the end of the conversation. I believe I robot was, this is Colin's personal view. We were roadcube. Well, let's talk about it as we sort of are running out of time here. What you think the implications of this are for future efforts to get robotics companies off the ground in the United States. We've had some robotics companies on the show over the past several months. What does your experience tell you about their likely path forward? What concerns do you have about the future of American manufacturing? The tragedy of the blocking of the transaction is we did it to ourselves. The net result, which I have argued was done with eyes wide open, was putting the consumer robot industry in a box, gift wrapping it and handing it to someone else. Markets are difficult to create. They're fragile, they need to be nurtured, they need to be cared for, and there are many, many people who are working incredibly hard to take any scent of an exciting new market away from the inventor. We as a nation need to decide what we want to happen. Now here we're sitting around with physical AI, a humanoid, it's at an exciting point. Billions of dollars have been invested in leadership and creating American companies that are doing tremendously exciting research, and the ramifications is worth trillions of dollars of value creation in the future, what has been written and invested and is to be believed. So, are we going to protect and catalyze American companies to continue to lead? We need to reestablish confidence that the FDC's role is to prevent the abuses while catalyzing American competitors. I have real concern that that may not be the commonly held view of the role of the FDC. So, if nothing else, the tragedy of the events of the Amazon attempted acquisition of a robot to serve as a lesson as we think about an industry which honestly could be a thousand times larger than robot vacuuming, now let's not screw it up, let's treat this as the golden goods that could help the US economy drive economic leadership for decades to come because it is in our hands. Well, Colin Engel, thanks so much for joining us. Great to be here, thank you for the conversation. When we come back, I predict that I crushed Kevin at last year's tech predictions, let's talk about it. I gave my brother a New York kind subscription. It has given us a personal connection, we change articles and so having read the same article, we can discuss it, the coverage, the options, not just news. Such a diversified bit, I was really excited to give him a New York Times cooking subscription so that we could share recipes and we even just shared a recipe the other day. The New York Times contributes to our quality time together. We're reading the same stuff, we're making the same food, we're on the same page. Connect even more with someone you care about. Learn more about giving a New York Times subscription as a gift at nytimes.com/gift. Well Casey, we're coming down to the end of 2025 and as is our custom on this show, it is time to stare into our crystal balls and look at our predictions for the coming year. Let's look at those balls. But before we talk about our predictions, we should make our disclosures, the New York Times company is suing open AI and Microsoft over copyright violations related to the training of large language models. My boyfriend worked in Anthropic. So Casey, remind me what your predictions were last year. Well Kevin, as you know, each year we make three predictions at different levels of confidence. So each year we say something that we are highly confident is going to happen, something that we are medium confident is going to happen and something that we have a low confidence is going to happen. And so let's dive into them. Well, last year, I said with high confidence, I think that in 2025, the AI culture war is going to begin. Yes. And you really nailed this one. Thank you. So basically predicted that we were going to see congressional hearings about the way that ChachiBT responds to certain questions and outrage about the way that LLM's respond with sort of, you know, politically sensitive topics. And if you sort of go back through the past 12 months, you can see that in March, representative Jim Jordan, subpoenaed 16 tech companies in an effort to discover whether the Biden administration had pressured them to quote censor lawful speech in their AI products. And then in July, Missouri's attorney general announced a new pressure campaign against many of those same companies by complaining that when it came to President Trump, chatbot makers weren't being nice enough to him. It found that it was sort of ranking him low on various lists that the attorney general thought that he should be ranked highly on. So this was exactly the sort of thing that I thought was going to happen. Honestly, it seemed obvious to me and it didn't fact happen. Yes. And we also saw the woke AI executive order in July, which sort of put some sort of shiny government gloss on this requirement that chatbots remain ideologically neutral if they're going to be sold to the government. So yeah, I think this was a good prediction and you made it with high confidence. And it came true. Yeah. Look at you. Look at me. What was your high confidence prediction? My high confidence prediction for 2025 was that a newly released crypto meme coin would briefly reach a market cap of $100 billion before crashing. And the closest we came was the Trump meme coin, which peaks in value in mid-January at a market cap of around $15 billion. And then crashed as of this recording, its market cap is just over $1 billion. So it did not kind of reach the high point that I thought maybe it would. But I think in spirit, I'm going to chalk this one up to a win. Yeah. I don't think it's a win. You got 15% of the way to it being true and failed. That's an F, my friend. All right. Let's talk about our medium confidence predictions. Mine was that in 2025, Waymo would go mainstream. And I think I got this one right. I thought maybe there might be an SNL sketch about it that did not happen. But Waymo is now about to start operating in New York City, which I do think will be the gateway to it becoming more mainstream. There was also a question about Waymo on jeopardy, and it just announced that it was going to expand into a lot more cities, including Miami and Washington, D.C. It currently operates in the Bay Area LA Phoenix, Austin and Atlanta. Next year, it's going to Nashville and London. So I do really think that Waymo went mainstream this year, Kevin. Wait, I, if I get a fail for my prediction about a trip to crypto meme coin, you do not get a passing grade for predicting that Waymo would go mainstream. How do I not? There was no SNL sketch. That was your resolution criteria. And I would say for the most part, like Waymo is still mostly a California phenomenon, sure it's operating these other cities, but it's been slower to roll out than expected across the country. There's been some resistance to it in some of the East Coast cities where it has announced plans to launch. So yes, I agree it has been a big year for Waymo, but I still think there is more to come as far as the public's embrace and understanding of the driverless car. Well, of course, there is more to come, but I think Waymo has become a household word in 2025. Okay. I'll let you have this one because I am a fair and generous co-host. Thank you. What was your medium confidence prediction? My medium confidence prediction for 2025 was that Apple would acquire SNAP. And Casey, I did not get this one right. You know, you have my sympathy here because I thought that was a pretty good prediction. SNAP has sort of been languishing for well over a year now. SNAP Chat is a very widely used product, but the business they built around it has just never been very good. And I think there was at least some thought that Apple might kind of pick them up and do something with its hardware, which I think they could have really turbocharged, but they had other plans, which was to do nothing with Siri. Yes. Yes, they were busy not building AI features. So this one will have to wait if it happens at all until next year. That brings us to our final predictions for last year, our low confidence predictions. And my low confidence prediction was that X, the former Twitter would be merged into XAI. And Casey, did that happen? Believe it or not? It did. It happened in March in an all stock deal that valued the social media site at $33 billion and XAI at $80 billion. Both of those numbers seemed ludicrous to me. But what can you do? It's a private company. So anyways, so if you listened to our predictions episode last year and then you went on to Polymarket or one of these other, you know, prediction market sites and you placed a large bet on the Casey Newton low confidence prediction. You made some money. You, I mean, I think arguably I did go three for three. And I'm told that possibly our producers have made a sound effect. Wow, look at that. Thank you. That was very satisfying. Yeah, this is a double edged sword because sometimes if you go three for three, it means that you were sort of, uh, you weren't going very far out on a limb. But I don't know. I don't know if a lot of other people were betting that X and XAI were going to emerge by March of this year. Yeah. Well, I give you a 2.5 out of three, which is still pretty good. Fair enough. All right. What was your low confidence prediction? My low confidence prediction for 2025 was that at some point during the year, open AI will officially declare that they have achieved AGI. And Casey, that did not happen either. No, it does. That was another miss for me. And I'm told that our producers have also made a special sound effect for me. Sometimes when you swing for the fences, you do strike out. Yes. Yes. This was my low confidence prediction for a reason. I did not actually believe it was highly probable that open AI would declare AGI. I did think that it was possible because among other reasons, they had this sort of contract with Microsoft that in my view incentivize them to kind of jump the gun or declare AGI early in order to get out from under their commitment to share their IP with Microsoft. As it turned out, they found another way to sort of get around that by just completely restructuring the company and redoing some of their language in that Microsoft deal. So they don't have quite the incentive to declare AGI early that they might have a year ago, but they did not do it by just getting on stage and having Sam Altman declare that the machine God had arrived. They did it. Now, interestingly, Kevin, just within the past few days, Dean Ball, recent Hartfork guest and former AI advisor to the Trump administration said that he believed that Claude Opus 4.5 met open AI's definition of AGI, which I also think is a bit out on a limb there, but does speak to the fact that if nothing else, maybe we made some progress toward AGI this year. Yeah. I mean, I think if I've changed my view on AGI at all in the past year, it's that it will not be kind of a single point in time. There will not be like one day when everyone kind of agrees, like, oh, it's here. I think it will be a steady progression of things that feel like AGI for some people and not for others. And that makes me sad because I was planning to take AGI day off. I thought if we get there, I'm going to the beach, but now I guess I can't do that anymore. No. All right. So those were our predictions for 2025, Casey, what is your high confidence prediction for 2026? Well, you know, Kevin, after going three for three this year, I've never felt more pressure on me than I do right now on the hard fork podcast, but I, but I think I have one thing that I'm going to feel confident about with high confidence in 2026. And it's this, I think that 16 plus becomes the new norm for social media accounts worldwide. Recently on the show, we talked about the fact that Australia had just said that you must be 16 to have an account on 10 different apps, including YouTube, Instagram, TikTok, Snapchat and more. I think you're just going to see more and more countries do this. Malaysia and Norway are looking into it as we discussed last week. And I would bet that by the end of 2026, we've seen at least five other democracies introduce similar rules. This thing is just sweeping the nation. And I think it makes a lot of sense. And we're just going to get a really interesting experiment into what happens. Once you kick kids off these big mainstream apps, I like that. Do you think that what would this sort of resolution criteria for this would be? Would it be five countries, ten countries? Let's say five more countries enact under 16 bands of roughly the same shape as the Australia band. Wow. Okay. So that will go into our predictions. For next year, we are, as always, going to put these up on manifold, the prediction market site where you can bet play money on whether they'll happen or not, basically just have some fun with figuring out whether you agree with us or not. And kids, this prediction market is not in roadblocks yet, but stay tuned. Yes. Okay. I like that prediction. I agree that it is likely to happen than not. Kevin, give me a high confidence prediction for 2026. My high confidence prediction for 2026 is that an AI company will solve one of the millennium prize problems. Tell us about the millennium prize problems. So the millennium prize problems are a set of difficult and important open problems in mathematics. This so-called millennium prize was started in the year 2000 by the Clay Mathematics Institute. And they basically said, here are seven of the hardest problems that we don't have solutions for. If you solve one of them, you get a million dollar prize. Hey, can you give me a little flavor of this because I did get a B in high school trigonometry? Yeah, so you're probably not a candidate for solving one of the millennium prize. I have chat GPT access. But these are things like the Raymond Hypothesis. If you've heard of that, the Navier Stokes equations that describe the motion of fluids, the Yang mils and mascara. Well, I can describe the motion of fluids. Dramatic, beautiful, inspiring. The Birch and Swinnerton dire conjecture. You solved that one? No. I actually don't even have a conjecture about what it's about. I'm really kind of a square one there. So basically, these are problems that are not just sort of hard computationally. They, some of them require kind of entire branches of mathematics to be developed in order to even start solving them. And these have been seen for years as kind of the ultimate prizes for mathematicians and others in the hard sciences. And AI companies in particular have been watching these problems very closely to figure out, hey, could we throw one of our models at one of these and come out with a solution? They don't really care about the million dollar prize, a million dollars, you know, buy your snacks in the microkitchen, but it gets you one meeting with their top AI researcher, right? Right. But it's more the principle of the thing, the idea of sort of cracking open some of the hardest unsolved problems in mathematics that is very appealing to them. There were some reports earlier this year that DeepMind was working on one of these problems in particular, the Navier Stokes equations. So my prediction is that in 2026, one of these problems will be officially proven and solved. All right. There it is. I don't know how to think about the likelihood that that comes true, but I see no reason why it couldn't come true. Yeah. Well, I think if one of the AI companies doesn't do it, you should commit to doing it. You know what, I have a lot of time open in the back half of next year, so I might take a crack at it. All right. Let's talk about our medium confidence predictions, you're Kevin, but here is mine. I believe that in 2026, we are going to see a group of Democrats win big in the midterms by leaning into anti AI sentiment. Oh, I like this one. Yeah. So we are already seeing some sort of stirrings of anti AI feeling, coalescing into political action in recent days, a Senator Bernie Sanders called on a moratorium on the construction of new data centers to try to give us more time to figure out how to regulate AI. So to me, that was kind of a bellweather announcement. We've also seen a lot of sort of nimby behavior in counties where data centers are being constructed. People are saying, I don't want you to build this here. I'm worried about the environmental impact and also I don't want you to take my job. And so don't build this thing here. And if we've learned one thing from American politics in the past 20 years, it's that nimby movements are extraordinarily powerful. Yes. You want to get somebody to the polls, make them think that their vote will result in something not being built. Right. And it will work. You know what I mean? Exactly. And so you have a bunch of Democrats who are still kind of casting around looking for a message. And I think you have the president giving them a gift because he is still very much in league with the Andreessen Horowitz wing of the Republican Party, which is all gas no breaks when it comes to AI development. And Trump is basically giving them free reign to say you write the policies that you want in including backing a moratorium on all state level AI legislation. Yeah, it does kind of feel like AI is polarizing in a very predictable way. You know, Republicans think it's good Democrats think it's bad. I think that's why this is a reasonable prediction. I don't know if it's going to happen in the 2026 midterms in the 2028 presidential election. But I agree that this will become a very salient issue for voters in one of those two elections. Yeah. I mean, you say that Republicans think AI is good, but I would say Republicans do not necessarily think data center in my backyard is good and they do not necessarily think AI takes my job is good, right? So like that is the actual political opportunity here. And I just think you're going to see some Democrats season. And by the way, I also think you're going to see some Republicans season. And like if you want a sort of secondary prediction here, is that you do see some sort of schism next year within the Republican party over this very issue. And what would a resolution criteria for this be? What would convince you that in 2026, a group of Democrats had one or found political purchase with this argument? Let's say you see like three Democrats flip seats next year who espouse anti-AI sentiment in their campaigns. I like that. My medium confidence prediction for 2026 is that a primarily AI generated work will be nominated for a major entertainment award. Now what do I mean by this? I mean, basically the big four, the Emmys, the Grammys, the Oscars and the Tonys. I think this is nano bananas. Why do you think this is true? So here's my case for this. Number one, we have talked about on the show this year that AI slap among many people is very popular, right? In the past few months, at least six AI or AI-assisted artists have debuted on the billboard charts. We also know that AI video is starting to get quite good. Filmmakers like Darren Aeronofsky have been experimenting with AI to do storytelling and visual effects in their films. We now have these sort of professional grade tools for Hollywood studios and filmmakers who are increasingly interested in using them. Some filmmakers obviously are not, but they are not going to be the ones who are proving this prediction true. And we've also seen some willingness on the part of the sort of groups that decide these awards to kind of allow AI to get its foot in the door. In fact, earlier this year, the Academy of Motion Picture Arts and Sciences, which votes on the Oscar winners, decided that the use of AI in films would neither help nor harm the chances of achieving an Oscar nomination. Basically, they said, it's about the quality of the work, as long as a human is involved in the film's creation, somewhere in the process, it can still be considered for an Oscar. I've also heard rumors that Demesis Abyss, a deep mind, is very interested in having them win one of these awards, too. Yeah, I bet he is. It doesn't mean it's going to happen. I'm also very interested in winning past picture Kevin. I think you've got a chance that Tony this year, very nice of you to say, look, this is not going to happen in 2026. I think particularly in the movies, and that is just because among the voter base for these awards, there is such justifiable anxiety about jobs being lost to this technology, that they are not going to want to clap it on the back at the end of the year and say, haza, what a great film you've made. So I think film in TV, it's not going to happen. What I will say is that when this does eventually happen, because I do think that yes, probably eventually something that is made like largely VAI does win one of these majors, it's going to happen in the Grammys, because I think there, people are already using so many software tools to make songs, and it's just not that big of a leap to say, I'm going to have something generate like a hundred hooks for me, and like, I'm going to pick the best one and make a song out of it. So I think it will eventually happen with a Grammy, but it's not going to happen in 2026. You might be right, but just so I'm clear, I did not predict that an AI generator work would win one of these awards, just that it would be nominated. That's the solution criteria. And it is an honor just to be nominated. Okay, Casey, what is your low confidence prediction for 2026? Take a flyer. My low confidence prediction is that OpenAI is going to retire Sora, the text to video generator. Sora is an app we talked about a lot on the show this year. It was OpenAI's move into social networking and generated a lot of attention in part because of just the novelty of being able to make a video out of text with your own image or the image of certain celebrities or OpenAI CEO Sam Altman, but it also generated a lot of controversy over in particular the fact that at least when it launched, it was very easy to make videos out of copyrighted IP. This is caused a bunch of legal headaches for OpenAI. Most recently they had to strike a deal with Disney and give them a bunch of stock just so that they could get access to some Disney characters. But I think by the end of 2026, they throw in the towel on this and here's why we know that there is a sense that they might be just beginning to fall behind the frontier labs when it comes to the quality of their models. That has huge business implications for them. This is a company that is running on a razor's edge of existence where it needs to raise so much money so that it can continue to lose so much money so that it can have a chance at inventing the model that will eventually turn a profit and I think by the end of 2026, Sora just looks like a big distraction. During this code red moment, Sam Altman said, we are going to place the focus on ChatGPT. I still think that OpenAI will see value in having video generation. They're just going to say, Hey, ChatGPT is our champion here. That is the app that is already on everyone's phone. We are going to pivot around building social features into ChatGPT rather than have this app out there that is already starting to decline in number of downloads. That is my prediction for low confidence in 2026. I think this one is a little crazy because I agree that it's possible that OpenAI will retire these Sora app and I think I would have agreed that it was possible they would retire the project altogether until this Disney deal from the other day which I think made me confident that this is something they feel like they can actually make real money from. The terms of the deal, we still don't quite know what they were but it is plausible to me that major entertainment studios are going to look to Sora as a way to cut their own costs. It's going to become maybe a more professional tool rather than a consumer social media product. But I think the video generation technology is good enough and useful enough to professional filmmakers that will continue to exist. I mean, I don't know. I think that over the next year we're going to see a bunch of like really weird and bad Disney IP Slop, you know, it's going to be like, you know, pregnant, Mickey kissing Sonic the hedgehog or whatever, Disney might have second thoughts about this and I wonder how many other companies are going to be lining up to sign a similar deal. All right. My low conference prediction for 2026 is that Apple will replace Tim Cook after his retirement with an outside CEO. Now, Casey, I'm you're shaking your head at me. I presume you do not think this is likely. I do not think it is likely either, which is why it is my low conference prediction. But I do think it would be interesting. Sure. I guess I agree. It would be interesting if Apple got a new CEO. I don't think it's going to happen next year, but why do you think it might? So I think Tim Cook is very likely to retire next year. The Financial Times recently reported that Apple was stepping up its succession planning efforts as it prepared for him to step down. And they also reported that there was a front runner for Cook's replacement. The Apple Senior Vice President of Hardware Engineering, John Ternis, and I think most people who are careful Apple Watchers expect them to go with someone safe, someone inside the company, someone with a long experience running a major division, maybe someone from the hardware side of the business, since that's where most of Apple's Mojo has been coming from recently. But I think this is a company that is sort of coming to the realization, albeit slowly and belatedly, that it needs to shake something up. It is a stagnant, dormant company that is coasting on its laurels that it received during the tenure of Steve Jobs and the early years of Tim Cook. And I think that there is an outside chance, I would put it at maybe 20% or so, that the Apple Board gets Tim Cook's retirement notice and decides, you know what? We got to go with a dark horse here. And who do you think that dark horse will be? Okay. I have three ideas. Okay. Again. No, don't say Katy Perry. Not Katy Perry. Okay. Number one. Johnny Ive. Okay. Johnny Ive, of course, long time Apple designed Chief or Tender and Hand with Steve Jobs. If Apple were trying to convince the public and investors that it had still had that special Steve Jobs magic and its DNA, that it was returning to its roots as a design-led company, that better symbolic gesture could they make than by bringing Johnny Ive away from open AI where he was recently acquired to do a hardware product there and convincing him to come back and take up the flag and lead Apple into a bold new era that is really a bold old era. That's not going to happen. Number two. Number two. Also, probably not going to happen. Brian Chesky. Brian Chesky. CEO of Airbnb. Now, Brian Chesky has been running Airbnb. That's his baby. I don't actually expect him to leave. But I think this is the rare job that could actually convince him to leave Airbnb and do something new. He is known to be a huge Apple fanboy, a huge Steve Jobs fanboy. He has studied the careers of top Apple executives closely. And I think if the Apple board were looking for someone from the outside who's still very familiar with Apple's culture and its processes and the way it makes money, it could do worse than Brian Chesky. Well, I absolutely think he would do that job. And for this reason, who wants to run Airbnb? Oh my gosh. Come on. No thanks. Yes. Okay. I have a third Dark Horse Canada. This one. Ooh. This one would be a real humdinger. And that is Miramirati. Miramirati. The former OpenAI executive, now CEO of Thinking Machines Lab, a very busy AI startup, but not one that has spent a lot of time releasing products this year. I think there is a very remote chance. Maybe I would put this at sub 1% that Apple in its sort of attempt to reclaim some authority in the AI market would acquire Thinking Machines Lab, bring Mira and her team into Apple. And maybe as a result of that deal, they say, you know what, you're pretty good at this AI stuff. You should run the company. Hmm. Interesting. I had trouble seeing that happen unless like a virus wiped out some significant portion of the population and they thought who is kind of still around and they're like, what about Thinking Machines? Are they still up and running over there? So that's how I could see this happening. Okay. Well, that's why it's my low-conference prediction. But if this happens, I will be able to say, I told you so. Well, Kevin, as always, I appreciate you going way, way out on a limb with these predictions. And you know, and it's making me wish that I had, you know, perhaps gone further out on a limb. But I do think when the dust settles at the end of next year, I'm going to have gotten more of mine right than you will have on yours. Well, that's why we do these predictions at conference intervals. You're not. If you're batting 1,000, you're doing it wrong, that's true. But unfortunately, I am still batting 1,000. Anyways, what else is on the show? Okay. Well, that's our predictions. And Casey, you wanted to make one more set of predictions. That's right. This year. Talk about that. So here's the thing. I imagine listeners may get to the end of the segment and say, okay, guys, you know, thanks for these predictions. Here's what I really want to know. What is going to be the state of the AI bubble at the end of 2026? Is it still going to be foamy and frothy? Like it feels right now? Or is there going to be a major change in the landscape? Kevin, what say you to that? Yes. So this sort of separate category of AI bubble prediction. I think we are going to see some economic turmoil as a result of AI in 2026. I do not think we are going to see the kind of calamitous bubble pop market collapse that some people have predicted. I think in video, Microsoft, Google, OpenAI, and Thropic, these sort of tentpole AI companies will mostly be fine. I think there may be some startups that raised money at high valuations that will have to either do a down-round or be acquired at a discount, sell themselves off for parts, things like that. I'm skeptical of some of these so-called neo-clouds, the companies like CoreWeave that sort of exist to rent GPUs and other AI infrastructure to the big suppliers. I think they might struggle in 2026. I would be very surprised if we have a single huge.com style collapse in 2026. I don't want to make a prediction to that effect, but I do think that one possible thing that could happen next year is that there are companies that are so-called SaaS companies, software as a service companies, that start to really struggle. And why are they struggling? Because these are companies like a sales force, like a Zenefits, like a company that sells software to businesses on a premium subscription plan. I think that some of those companies' customers may start building software themselves. Because now with these AI coding tools, they can spin up a custom CRM, a custom benefits manager, a custom payroll software that suits their needs exactly, and they can do it at a fraction of the cost of buying a subscription from one of these big enterprise companies. So that is my AI bubble prediction. Is that some of the companies that claim that they are AI companies will start to struggle, but will not be because this technology has not panned out or is not useful. It will actually be because the technology is quite good. I think that is a very sensible prediction. I think my views largely align with yours. I think at the end of 2026, things will still feel quite bubbly and for this reason. The Frontier AI labs are going to be making tens of billions of dollars more revenue by the end of next year than they are this year. And that is going to prop up large swaths of this economy, right? Like there is absolutely no sign that businesses are going to stop buying services from these Frontier labs or that consumers are getting turned off of them. And that is the thing that is powering this whole bubble. Now as you say, on the margins, some companies may not be able to figure out, and I wouldn't be surprised if we saw some big flame outs next year, maybe some of the companies that you mentioned. But I do think that at the end of 2026, this thing is like the engine is still going to be very, very hot and be interesting to see that happen. I'll make one more quick AI bubble prediction, which is that 2026 is the last year to buy a house in San Francisco because I think this year, this coming year, we will see the IPO's of at least one major AI company anthropic is reportedly planning an IPO for next year. We may also see open AI, go public, SpaceX, me go public, Stripe, me go public. They're sort of these other sort of very highly valued private companies that may go public when that happens. Their employees get rich and they go buy houses. And so if you are looking for real estate in San Francisco, the right time to buy was yesterday. Well, that's enough predictions. Let's do a production. When we come back, our annual Christmas Carol, the people demand it. What's the worst that could happen? What we could say. Well, Casey, the holidays are upon us. And as always, at this time of year, we have a special gift for our listeners. We do. And it's the sort of gift that I think maybe this is the year that Kevin will want to give this gift. Maybe he'll come up with a different gift. But in fact, it is the same gift that we will now re-gift to you in 2025. You hate this part of the episode, but I love it because it is our annual chance to break out our Malif Lewis singing voices and show our audience the Christmas spirit. Yes. And this is my annual chance to remind you that Kevin is an accomplished singer and longtime choir member while I have the singing voice of a broken harmonica. Yes. I think you're a very good singer for it. Thank you. And it is also our annual chance to wear our ugliest holiday sweaters. If you are not watching this on YouTube, you are missing out because you are wearing sweater with Santa as a golfer. That's right. As huge golfer, I thought what better chance to bust out the sweater that I spent $50 on yesterday because it was the only sweater that could arrive in the studio on time. Wow. I'm so impressed. Where is Kevin? He's wearing a beautiful sweater that says tree rex on it and has a T-rex that has a star on top of his head. And it also has many flashing real Christmas lights that are affixed to the sweater. So you got a really high-tech production going on over there, Roos. I do, yes. And I'm being warned that this may cause seizures for some of our YouTube audience. So I'm going to turn off the electric blinking lights here and just wear the tree rex sweater. But yes, this was a big hit at the kids holiday party last week. The last thing we need is the seizure cancellation scandal to take us out into 2026. Okay, Casey. Well, if you will indulge me in our annual caroling tradition, it is time for this year's rendition of a hard fork in Christmas and wait to say that if you heard it last year, it's not the same song. Things have changed. See if you can spot the differences. Your lyrics. Thank you, sir. Do you want to do some scales to warm up? No, let's, let's just croak it out. Okay. Who's going to be the alphabet and who's going to be the Glinda? You're definitely alphabet. Okay. No, this is not a wicked thing. This is, this is a Christmas classic, iconic. Families will be singing this around the hearth this year called that hearth fork. Oh boy. So Casey, let's close our laptops for the year and wish our listeners a happy holidays. With the hard fork in Christmas, let's do it. On a hard fork in Christmas, my true love gave to me a bar trained on our IP. On a hard fork in Christmas, my true love gave to me two robot pants and a bar trained on our IP on a hard fork in Christmas, my true love gave to me three code reds two robot pants and a bot trained on our IP on a hard fork in Christmas, my true love gave to me four humane pins three code reds two robot pants and a bot trained on all our IP on our fork in Christmas, my true love gave to me five bomb bomb creams delivered from a drone four humane pins three code reds two robot pants and a bot trained on our IP on a hard fork in Christmas, my true love gave to me six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me seven white house meme coin six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me eight mecha hitler staff seven white house meme coin six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me nine mecha hitler seven white house meme coin six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me ten signal seven white house meme coin six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me 11 chimpanzee signal watch at nine better rewards eight mecha hitler seven white house meme coin six robot scandals five bomb bomb creams four humane pins three code reds two robot pants and a bot trained on all our IP on a hard fork in Christmas, my true love gave to me 12 AI bubbles 11 chimpanzee signal watch at nine better rewards eight mecha hitler seven white house meme coin six robot scandals five bomb bomb creams bomb bomb bomb four humane pins three code reds two robot pants and a bot trained on all our IP that's an intellectual property can as we climb do that I don't think so Merry Christmas you filthy animals Merry Christmas see you next year Hard fork is produced by Whitney Jones and Rachel Cohn were edited by Jen Poient today's show was fact-checked by Will Peishel and engineered by Chris Wood original music by Alicia but YouTube Diane Wong and Dan Powell and Casey Newton and Kevin and Kevin Bruce with an assist from cloud video production by Sawyer okay Pat Gunther Jake Nichol and Chris shot you can watch this full episode on YouTube at youtube.com/hard fork special thanks to polish human Puywing Tam Dahlia Hadad and the amazing team that helps us make this show every week we hope you all get some time off and happy holidays you can email us as always at hard fork at nytimes.com with what your true love brought to you this holiday season we'll have more next week we have a couple special episodes coming up for you over the holidays so stay tuned but mostly have fun with your families recharge your batteries we'll see you next year. 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Podcast Summary
Key Points:
Juliette from New York Times Games discusses favorite game "Connections".
Interview with Casey Neum about being rescued from a ride at Disneyland.
Colin Engel, former CEO of iRobot, talks about company's bankruptcy and failed acquisition by Amazon.
Discussion on iRobot's downfall, competition from Chinese companies, and strategic decisions.
Impact of regulatory actions on the tech industry and American innovation.
Importance of nurturing American robotics companies for future economic growth.
Summary:
The transcription covers various topics, starting with Juliette discussing favorite New York Times game "Connections". Casey Neum recounts being rescued from a ride at Disneyland. The conversation shifts to Colin Engel, former CEO of iRobot, explaining the company's bankruptcy and failed acquisition by Amazon, attributing it to competition and strategic decisions.
The discussion delves into the impact of regulatory actions on the tech industry and American innovation, highlighting the importance of nurturing American robotics companies for future economic growth. Overall, the conversation provides insights into the challenges faced by tech companies and the implications for the future of American technology and manufacturing.
FAQs
Connections.
Subscribe at nytimes.com/games for a special offer.
Outcompeted by Chinese fast following companies.
Antitrust regulators attempting to block acquisition by Amazon.
Cameras for better visual understanding.
Concerns over privacy and Amazon's market dominance.
Chat with AI
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