In short
European venture and AI news, arguing that Europe’s venture market still relies heavily on public/state capital; plus a debate on “AI doomerism” and AI safety oversight; and how higher interest rates affect AI capex and venture funding.
Guests
The episode is hosted by Mads Pri and Pri (Langdok is mentioned as a startup, not a guest). No other guests are interviewed in the transcript.
Guest backgrounds (mentioned people, not guests): Satya Nadella (Microsoft), Jensen Huang (NVIDIA), Elon Musk (xAI/SpaceX), Dario Amodei (Anthropic), David Sacks (Craft Ventures), Bill Gurley (VC), Brad Gerstner (Altimeter), plus others discussed (e.g., Mark Zuckerberg, Sam Altman, Demis Hassabis).
Key claims
State money is “fragile” politically versus pension capital; AI safety proposals converge on “auditors/evaluators” (labs red-teaming each other) rather than a true slowdown; higher rates raise the immediate cost of AI capex debt, potentially shrinking the capex envelope and pressuring NVIDIA’s growth.
Notable examples
All-In Summit AI safety debate (Trump/Jensen/Elon); Landdok moving from US Delaware to German Societas Europa for enterprise sales; Eurom/Dealroom data on state funding (governments/sovereign wealth ~26%); NVIDIA take-rate math (53%); OpenAI delaying IPO and raising privately; OpenRouter traffic showing OpenAI models winning on “Luna”/“Haiku” equivalents.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOExploring the Shift in Financial Models
0:00 to 0:45
Discussion on the evolving financial landscape and the impact of debt on capital projects.
“Today, we are in a different world because it's no longer just about what are these cash flows going to be discounted at at some future state.”
Introduction to Today's Topics
0:45 to 1:52
Hosts introduce themselves and outline the topics to be discussed in the episode.
“We've got AI Doomerism, what's the real story behind the scenes?”
Reflections on Jet Lag and Recent Events
1:52 to 3:00
Hosts share their experiences at the All In Conference and their feelings about it.
“Mads, you and I are a little bit jet-lagged, and we're going to talk about why in a second.”
Analyzing the All In Conference Highlights
3:00 to 4:13
In-depth discussion about the key speakers and moments from the All In Conference.
“But Mads, let me ask you the provocative question.”
Debating the Role of Capitalism in Society
4:13 to 6:35
Hosts discuss the implications of capitalism and its impact on innovation and free resources.
“I don't know if I think it's particularly right-wing.”
Reflections on Trump and AI Safety
6:35 to 8:07
Discussion on Trump's call during the conference and perspectives on AI safety and innovation.
Diverse Perspectives on AI at the Conference
8:07 to 11:35
Hosts reflect on the varying views regarding AI, safety, and industry implications from the conference.
“I loved Bill Gurley, who's one of my favorite, favorite people in our world.”
Exploring Future Innovations in Technology
11:35 to 14:01
Discussion about future technological innovations presented at the conference, including space travel and AI.
“which obviously we've touched a little bit on now.”
Innovative Aviation Dreams
14:01 to 15:00
Exploring entrepreneurial ambitions in modern aviation and engineering feats.
“And that level of ambition, last time we had supersonic jets, well, it was Britain and France that created the Concorde.”
Canada's Relationship with the EU
15:00 to 17:46
Discussing Canada's potential associate membership with the EU and its implications.
“A few little quick notes before we crack onto the main docket.”
Show all 33 chapters
AI Startups and European Market Dynamics
17:46 to 20:22
Examining the transition of a US AI startup to a European entity and its implications.
“to go here we're going to do this and that's what she's trying to do and it'll be really really difficult, but, you know, applause for taking the first step.”
Venture Capital Trends in Europe
20:22 to 22:45
Analyzing the role of government funding in the European venture capital landscape.
“really a precedence, but it'd be lovely to get more businesses.”
The Impact of Public Money on VC Growth
22:45 to 23:55
Discussing the reliance on state capital in European venture funding and its fragility.
“there would have been this huge retreat.”
Doomerism in AI Discourse
23:55 to 28:00
Exploring the rising concerns over AI risks and the recent discussions surrounding it.
“And we've touched a little bit on this at the top of the show.”
Exploring AI Model Safety and IP Concerns
28:00 to 29:10
Discussion on ensuring AI model safety and addressing IP theft concerns.
“everybody, you have assessors, testers from the other labs that have access via an API to test the models and make sure they behave in the way one would want them to behave.”
The Concept of Recursive Self-Improvement in AI
29:10 to 30:40
Understanding recursive self-improvement and its implications on AI development.
“And in a recursive way, if I have enough computing power, you create a spiral that can go very, very fast.”
Regulatory Challenges and Global Cooperation in AI
30:40 to 32:50
Debate on the need for global regulation and cooperation among AI labs.
“Auditors don't typically have an employee badge.”
AI Leaders' Perspectives on Accountability and Safety
32:50 to 34:00
Discussion on the responsibilities of AI leaders and accountability in AI development.
“And then, of course, we have Satya didn't commit and said AI cannot be controlled by a few large entities and is sort of his pitch for open weight models.”
Financial Implications of Rising Interest Rates on AI
34:00 to 36:30
Analyzing how interest rates affect AI capital expenditure and project financing.
“This is what makes it so hard to deconstruct this whole argument because everybody's got commercial requests as well.”
The Future of AI Spend and Market Dynamics
36:30 to 41:20
Insights into future AI spending trends and potential market impacts.
“How will inflation pushing interest rates up?”
Impact of Global Economic Factors on AI Sector
41:20 to 42:00
Discussion on how global economic factors, including debt levels, affect the AI sector.
“And so this is not a forecast, but just an attempt to try and connect some of the dots here and follow the money.”
Impact of Rising Rates on Investment
42:00 to 42:31
Learn how rising interest rates affect investment in various sectors.
“That crowds out money that could have been going into investing in infrastructure and technology and education, et cetera.”
OpenAI's Financial Status
42:31 to 43:36
Explore OpenAI's current financial situation and ad revenue growth.
“But that's the reason why we're talking about the rates is because they impact indirectly and directly.”
Monetization Challenges for ChatGPT
43:36 to 45:54
Discuss the monetization challenges and potential for ChatGPT's ad revenue.
“You've got a billion dollars annualized across more than a billion weekly users of ChatGPT, which I guess is about a dollar a head.”
IPO Prospects in Europe
45:54 to 46:56
Examine the upcoming IPOs in Europe and their implications for the market.
“I think there's a lot more growth in that billion run rate.”
Developments in Humanoid Robotics
46:56 to 49:40
Learn about recent advancements in humanoid robotics and their implications.
“And then I guess to round it off, how should we look at the kind of the IPO moves, what's happening for the hyperscalers?”
Eisenbard's Innovative Manufacturing Model
49:40 to 55:16
Discover Eisenbard's model for modern manufacturing and its impact on the industry.
“I want to talk about physical AI, mainly humanoid robotics this week.”
Exane's Funding and Focus
55:16 to 56:06
Learn about Exane's recent funding round and their focus on firmware security.
“They've raised$270 million at a$1.7 billion valuation led by Headline, Sofina, Goldman's, and a host of other groups.”
Exploring Firmware Security
56:06 to 56:56
Learn about the importance of firmware security in today's tech landscape.
“They figured out how to do this and get to a nice big market position.”
DeepMind Spin-Out and New Ventures
56:56 to 57:48
Discover the new startup Emulate and its focus on world models.
“The startup, the world model startup by Jack Parker Holder, Matthew McGill, and Philip Ball.”
Innovations in Consumer Glasses
57:48 to 58:48
Discuss the launch of Specs and their competition with Meta.
“You can put these glasses on and then you can be on the train and you can read a book in front of you.”
Upcoming Political Summit and Implications
58:48 to 59:49
Understand the significance of the upcoming summit between Trump and the Chinese premier.
“It's going to be the second summit of the year.”
Super X Events and Future Plans
59:49 to 1:00:36
Get insights on upcoming Super X events and initiatives in the tech sector.
“We record our portfolio founders and give them like little promo videos to kind of tee up what they do.”
Transcript
Automatic transcript. May contain errors.0:00Today, we are in a different world because it's no longer just about what are these cash flows going to be discounted at at some future state. It's actually debt that goes into funding a lot of the build out of the CapEx. And therefore, it's immediately the cost today of some of these big projects. If the view is, look, these models are going to be incredibly powerful, we need some level of supervision in terms of figuring out, you know, where are the risks and are they aligned with the intent of the creators and the users? He said, who is going to be able to do that work? who's going to be able to check those models?
0:31And his suggestion was effectively... I guess state capital is technically fragile, right? State money is political. In the next government or in the next election, this could be cut versus a pension fund that allocates capital into venture has 40-year liabilities to match and it's more permanent. It's always important, A, to listen to people that you don't agree with and to hear the full story in the full context because we live in a world of rage bites and rage clicks and click rage and you need to just stop and as you always say to me don't always worry about the messenger just tune in to the message hello and welcome to upside where every week we look behind the headlines that are going to affect european venture this week it is mads pre and myself and what have we got on the docket?
1:20We've got AI Doomerism, what's the real story behind the scenes? Rates, how they'll affect AI CapEx. A big week for humanoid robots. And as usual, week ahead, predictions plus deal of the week.
1:45This show is not investment advice and the hosts of this episode may be invested in the funds and companies featured. Mads Pri, lovely to see your faces. Mads, you and I are a little bit jet-lagged, and we're going to talk about why in a second. But apart from the jet-laggage, how are you? Fabulous. Back in London. Fake it till you make it, baby. Oh, loving it, loving it. We had such a good time, and we're going to talk about that in a sec. Pri, what's happening with you, my love? Haven't seen you all week. How are you? Yes, it's been a great week. Spent some time at Cambridge Tech Week this week.
2:16How was that? Busy. It was great. It was good. Some great speakers met some exciting startups. More to share. Okay. All right. Lovely. Mads, let's talk a little bit about why you and I are kind of a little bit blurry eyed this morning. I've had three coffees. If I'm a bit nonsensical and a bit fuzzy, that's possibly why. We were at the All In Conference in Los Angeles. So that was Sunday through Wednesday. my first time your fourth time just to tee it up all if you don't know the all-in conference kind of what rock have you been hiding under i'm sure you know the besties the kind of the ultimate pin-up child of vc podcasts and they do a conference every year called the all-in conference no great surprise i think it's summit dan oh sorry the all-in summit i'm not a massive fan of the podcast because I find it a bit red red pilly and you always shout at me for this but I've always found a little bit a little bit kind of right-wing maggotastic however you can't deny the speaker lineup right you can't deny I mean they had Elon they had Jensen they had Satya Donald Trump dialing in we were sat almost front row when Donald Trump dials into Jensen Huang on the stage which was just surreal and it's also lovely hearing a full dialogue rather than just the rage bites that you see on youtube or here on the news you hear the full context of the full story so i think it's it's it's just an incredible two full days three thousand people this year was at the shrine auditorium in la and oh my goodness do the yanks know how to put on an event i mean the parties, the side things, the speakers.
4:00It's just an incredible thing. But Mads, let me ask you the provocative question. So is this the future of society, business, tech, or is this just a right-wing think tank taking airtime and getting eyeballs? Go with that one. I don't know if I think it's particularly right-wing. I think, if anything, it's a celebration of capitalism. I think capitalism is the bedrock of - Which has its own issues, right? As soon as you say that, you could argue people are going to be like, maybe not listeners to this pod, but that could be contentious on itself and that's celebrating capitalism. Interestingly, I think even many kind of sort of centrist labor politicians will maybe in a weak moment admit that if there is no capitalism, if there is no business, then this is the foundation for all the wealth we have that pays for all the nice free things.
4:53Yes. You know, if if if we don't have entrepreneurs creating businesses that creates wealth, there's nothing to tax. Nothing's going to happen. So, you know, I think you could argue since the Industrial Revolution, there's really been no progress without it. And it was interesting, you know, some of these things that have come out over the last year. I thought it was Mac Fadden, who was fairly senior in the Labour government, who sort of said, look, you know, one of the problems he has in some of the meetings that people have internally is that people are saying, you know, who can we tax next in order to pay benefits or to fund some free stuff?
5:24People can argue you can sit on different levels of the spectrum of how much free stuff there should be. But I think we all agree there has to be some free stuff in the sense of we have to fund some things, even if it's just kind of basic safety, policing, basic education. But if you also want good health care and all the other things, well, the more of that nice free stuff you want, the more wealth you have to create. And it turns out it's the entrepreneurs are the ones that create it. And so I think if anything, it's a celebration of that. At least that's how I take it. Yeah, I agree. I think one of my key learnings was leaning into what I was saying about with Trump.
6:01It's always important, A, to listen to people that you don't agree with and to hear the full story in the full context because we live in a world of rage bites and rage clicks and click rage and you need to just stop and as you always say to me don't always worry about the messenger just tune into the message and have have a proper consider and a ponder as to what the real message is rather than just responding to the person delivering it and i found being able to hear from the leaders in tech AI politics of JD Vance was there as well he dialed in and just removing personally my removing my emotion center for a second and just tuning in I I found absolutely enlightening now Pri you were sat on the outside of this obviously you were watching the news clicks and we were talking about it behind the scenes how did what was your perception or what would you tune in on as an outsider what did you what did you hone in on well i guess the part that like the whole effectively the whole world was tuning in on was trump's call to yes and then i don't think it was a setup i i you never know what's going on but i don't think it was a pure setup i think maybe i mean listen it probably was but it just it how it happened and the the technical mess they had to do to get him on speaker and it was it was an interesting moment in time hearing all that piece going on but sorry carry on yes that well i mean that was probably a bit that a lot of people tuning in on because the whole topic of of the this month has been a real focus on ai safety and i think it's been the whole discussion of dario's essay which i'm sure we'll cover a little bit more in detail but talking about the these all these key players and sort of everyone coming together and talking and and of course jensen on the one hand saying you know let's defend invidia's demand curve do we do we really need to slow down on AI is that's one side of protecting videos of revenue and then credit to Dario on the other side where he's saying let's actually commit to something where we where we do not put a pause but slow down on AI and I think it's like weighing up those sides and having that outsider's perspective of the essay yeah we're going to talk a bit more about that in a minute yeah I won't go to these yeah that was the bit that I honed in on I'm excited to see what they share from um the summit I guess this kind of week.
8:23I loved Bill Gurley, who's one of my favorite, favorite people in our world. He did a lovely piece, didn't he, Mads? He absolutely did. He talked about kind of in, you know, throughout history, whenever there's been big disasters that could have had some man-made explanation like the, you know, Boeing 737 MAX scandals or kind of Fukushima or, you know, some of these things that have happened. we always put inquiries in place to try and work out what actually did happen and what cost it and how can we prevent it from happening again in the future. And the thing he really honed in on is, why haven't we done that thoroughly with COVID?
9:02Why can we today still not really, truly answer where this came from? And was it really, was it gain-of-function research that was sponsored, maybe even financed by US taxpayers. You know, there are indications that it might have been, and we don't really know. And I think his talk was, well, look, if 15 million people died from COVID, and if it cost us trillions of dollars and lost years for a young generation that were locked out of schools, et cetera, then don't we all deserve to know what was behind it? And I just thought the way he sort of calmly and rationally built up the case for an inquiry here was very well done.
9:44Yeah, and it wasn't obviously tech, and it wasn't AI. And there were a few segments that weren't. There were a couple of influencer segments. There was Clavicula and Jake Paul that came on stage, which I struggled with. I'm now going to renege on my initial open your mind and listen to everybody piece because I just couldn't. I just don't have the, I can't tune into what I see as ridiculousness. So I had to tune in a little bit on that. Mads, what other highlight for you? What else would you say was a highlight? Number one, for sure, was seeing the debates around AI and AI safety play out in real time.
10:24Yes. Seeing, you know, opening with Satya Nadella, you know, addressing some of the risks and concerns that Dario had been, you know, raising the day before. And then seeing Jensen Wang on stage giving us his take, having Donald Trump weigh in. People can say, look, he's no AI expert, but he is the most powerful person in the world. And just kind of seeing that in real time and then having Elon come on and give his perspectives on how do we resolve this. Why is that interesting? Well, because on one hand, people see him as a tech accelerationist. But on the other hand, he's been one of those that have said, look, there are risks around AI.
11:02And he'd stood on the weekend, he'd been tweeting, look, I agree with Dario. Dario's right about some of this stuff. But having a different prescription, a different suggestion to how this should be addressed and seeing all of that resolved and being discussed in real time, I just thought was phenomenal. Yeah, I think so. I think so. I mean, we're going to talk a little bit more about AI doomerism later in the show because I would like to unpack some of the theories going into conspiracy theories and just kind of do a little bit of a roundup of the AI doomerism piece, which obviously we've touched a little bit on now.
11:38I really like Satch's quote. He said, if it's a showstopper, stop the show or something like that. I think, and with Saks, we'll talk a bit, obviously we'll talk more about this later, but David Saks said something like, you guys, you are the frontier. You are the problem. So be the solution. I can't remember. Do you remember what he exactly said, Mads? Something like that? Well, look, there were so many takeaways, right? I mean, one was, look, if your models are so smart, have them come up with a way to address this. I mean, it's, right? So, but many, many other takeaways, you know, Sachs was talking about how, if you look forward in the next 12 to 18 months, 60 % of the AI compute that's predicted being stood up, right, in terms of new AI capex, is for the two frontier labs, is for Anthropic and OpenAI.
12:27And we've seen some companies really lean into this. You know, Google and Amazon and Oracle have been leaning in very heavily. Nadella from Microsoft was a little bit more cautious. He said, look, a supplier to two model companies, that's not really a business, which is why Microsoft have not been as aggressive on CapEx as some of the other businesses. Interesting to see that taken in real time. We saw Brad Gerstner from Altimeter talk about what's going to trigger either a kind of a continued acceleration of spend and a validation of the boom or not. And he said, look, much will come clear when we see some of the revenue numbers come out of the big labs.
13:09Are they doing a$4 billion a run rate right now? Are they doing$8 billion a run rate revenue right now? And if it's$8 billion monthly, well, this is going to continue for a while. So that was another interesting perspective. I mean, there were also many of these other talks we saw, right? Isaacman from NASA, who was talking about the mission to get back to the moon and for the U.S. to try and be first there to beat China to be kind of in this second race. The other one, as interestingly, is before we were born. It's so long time ago, right? So there's a new one happening now. Really, really interesting to see the level of ambition.
13:43And also a bit of a trying to feel like Europe doesn't really feel like we're in the game. And if a European astronaut is going to make it to the moon, it's probably going to be on a US launcher. It feels like a shame that we're not up there. We saw Boom talk about getting back to supersonic air travel. He was great. I love that story. He was phenomenal. He was phenomenal. And that level of ambition, last time we had supersonic jets, well, it was Britain and France that created the Concorde. and obviously such a beautiful plane and just such an incredible feat of engineering, but obviously it wasn't economical, didn't survive kind of some of the oil shocks and some of the prices, et cetera.
14:25And now we might be back, but it's built by entrepreneurs and not by sort of a state funding. So that was an interesting one as well. It's about 50 people, isn't it? His story about Rolls-Royce pulling out of building the engines and then they went, all right, we'll build our own engines. and they've got a flying craft that's in test. I mean, I can't remember, is it like an engineer or a sales guy from Amazon or something? It's such a sideways founder story, building something that's just so nuts. How many times they must have nearly gone to the wall. But I found that super fascinating as well.
15:00A few little quick notes before we crack onto the main docket. So Canada joining the EU, I don't know if obviously everyone has seen this, But Carney said, obviously, Canada wants a unique alliance with the EU and then von der Leyen basically making them associate member, although it doesn't look like it's gone through yet. Trump calling it laughable, as he would, and then and then going on to call the EU a terrible trade partner, threatening more tariffs and a halt on trade. Now, Mads, if this is successful, could this unlock the path for the UK was my first question for you. I think it possibly could.
15:33I mean, I don't. It's so it's an associate member as opposed to a member. But I think this is really interesting that the EU has got some key partners like Switzerland, like Norway, you know, hopefully like a UK and potentially a Canada where, you know, there are countries that want to trade together and want to have close relationships without necessarily having a sort of a strong political alignment in the political union. And I think it would be preferable if the UK was part of a political structure. So we have that influence. OK, we're not going to get there short term. And so I think the second best is if you can have an arrangement like this where you've got arrangements around the customs union, you can boost trade, you can partner in lots of other ways and have that be done in a structure that can be replicated across the different countries.
16:18I think that's a great thing. And of course, Trump would hate it. The Romans always talk about divide and conquer, right? You know, divide your enemies, split them up into lots of little bits and have them either fight each other, pick them off one by one. Of course, he would prefer to negotiate with and be able to bully every European country one by one. And the fact that the EU is there and can stand up to him is not something he would like because that means he can't do the stuff he likes to do. And that just tells me what a good idea it is. Yeah. I mean, I think I'm right in saying that there's been a deal with the EU between Canada and EU since 2017.
16:54It just hasn't been fully ratified, I think, if my EU memory serves me well. So it feels like this is not a particularly new thing. It's just been accelerated by the new world order. And hopefully, I think also they need all 27 members to ratify the deal. So I don't know how that's going to work. And also with people like France and ag, I don't know how that's going to work fully, but hopefully it will go through. Look, the countries, the national governments were immediately up and saying, oh, we're not sure about this. And maybe if underlying is moving too quickly. and again it sort of makes me think look she's onto something here yeah there are so many vested interests that will try and stop all progress and nothing will ever change and we'll all just sit around and look at each other and do things and try to do things the way we did last year right but we need change we need progress and we need some people to be bold and say look we're going to go here we're going to do this and that's what she's trying to do and it'll be really really difficult, but, you know, applause for taking the first step.
17:57Yeah, no, it's great. Pri Langdok, a US AI implementation startup looking, I think they've already moved to Berlin. I think they've gone from becoming a US company to a German company. What the, how the, what the? Have you got any notes on this one? Yeah, I do. So you're right. They're a Berlin enterprise AI platform, YC founded in 2023 and their ARR went from a million in 2024 October to 50 million in August 2026 which is incredible and they've done the opposite of what we were talking about last week they dismantled their Delaware Holden company and pre-registered as a German sort of societus Europa so they took most of 2026 to do this and it cost them millions in euros and the reason they did this is because they had a US parent as like a lot of I guess European American companies do a US parent no employees no infrastructure no access to any production system and this cost them deals when it came to sales because every enterprise customers lawyers so when they were selling into enterprise had to run a cloud act analysis before signing so it was slowing them down by having this this US entity and we were talking about this last week with in relation to EU Inc.
19:11And we were comparing this to the Delaware option. So for 10 years, companies would go to Delaware and this Delaware flip was a free option. And you did it to make fundraising easier. And there was no downside. And LandDoc just paid millions of euros to undo their Delaware setup because a holding company with no staff, no servers, was turning into an objection for their customers and their sales cycles or slowing down their sales cycles. And I guess what does this reflect it basically reflects that sovereignty is where your company is set up and it's not being a political preference and this is the final bit is what ties to our EU segment from last week they used a Societist Europa which has existed since 2004 and almost nobody uses because it's expensive and it requires operations in two member states so Landoc is basically proof that the demand is real and the proof is the existing instrument is what we need in the EU to make it easier for companies to set themselves up across all EU member states.
20:11And they paid millions for something that should really have costed them a few hundred euros. And that's basically the entire argument that we're talking about last week for EU Inc. Well, I mean, I'm sure this isn't really a precedence, but it'd be lovely to get more businesses. I'd love to find a structure, a way or some kind of accelerated way of getting more US companies into Europe. That'd be great. The other thing talking about Europe, Eurom at Dealroom just put out a report about, well, it's data from Invest Europe. And it was looking at the last 10 years of activity and who is investing in venture.
20:47So no great surprise, governments and sovereign wealth, they committed the lion's share at about just over a quarter, about 26 percent. Between them and family offices and private individuals, around 45 percent in total. corporates the next on the list at 17 and europe pension funds at about 4.5 now that was more than i thought that i thought that was going to be in the ones and twos so that's more obviously much more than uk and it's been static for around 10 years pre what else anything else that you would pick up on the deal room report yeah so governments over the last decade governments and sovereign funds have put 37 billion dollars into european venture funds and as you said european pension funds are put in a much smaller amount.
21:30Government money is the only category that grew almost every year from 1.2 billion in 2015 to 5.6 billion in 2025. So the growth of European venture has been, a lot of it has been state funded. The ECB has government entities at about a third of European VC investors. And in America, it's 4%. That isn't a criticism at all. But the point is that 10 years on the private I guess private capital does not seem to be behind this it seems to be a lot of state capital and I guess state capital is technically fragile right state money is political and you know in the next government or in the next election this could be cut versus a pension fund that allocates capital into venture has you know 40-year liabilities to match and it's more permanent so we build an asset class I guess by that by having state capital into into venture capital, we've got an asset class that is slightly more reversible.
22:25And the money in European venture, as we talked about a couple, I think a couple of weeks ago, a lot of money coming into European venture, so into European startups, is either foreign money or it's public money. And very little of it is actually private. But I've always seen that the reason that there's been this kind of what looks like more public money is because we had the big 22 meltdown where there would have been this huge retreat. So the proportions would have looked larger. That was always my take. We had this really weird moment in time, didn't we? 21, 22, when we went from like crazy, ridiculous, everybody throwing money everywhere to that all being and all the tourists leaving venture and that all being extracted.
23:07So my assumption is that some of these figures are going to be skewed because of that massive wave and then trough. And I'm also most intrigued about how this is going to play out, what numbers we're going to see in 10 years looking back on this. And my assumption will be there'll be a whole raft of new private capital flowing in because AI and this kind of mega tech wave, although we don't know maybe in five years what's going to be the trough if there is one on the other side of this. But I can't help but think that that 10-year bucket they're looking at is fairly skewed in the stats, stats and damn stats, as they say.
23:44I'll tell you what, let's move on to the Doomerism piece. I'm super intrigued and I can't believe that people weren't glued to X and the news feed about the Doomerism news. And we've touched a little bit on this at the top of the show. Last week, we discussed Coxon's Russian goodbye resignation tweet or X or whatever they're called these days. And then the day after we recorded the pod last week, the whole world rallied in and the world melted with AI doomerism. The floodgates were unleashed. So Dario's essay was next, which then with Elon's endorsement got even more news. Then we saw Jack Clark's kill switch.
24:27Then OpenAI published more misbehavior. Loads and loads of dialogue. The mainstream media piled in. Celebrities, politicians, the whole bloody lot we've got to stop ai before it kills us all then came the theories as to why dario released his essay in the first place with a whole bunch of what i perceive as conspiracy theories here's a here's a few just for some flavor from the more benign to the more outlandish and ridiculous so ai is plateauing so it's a save save the ipo job fine regulatory capture i think that that's been bounced around a bunch before. Lock-in export control, or is it open sources eating our lunch and we've spent too much?
25:07As if I was an AI frontier lab CEO, maybe that's a point. Scare governments, if we can get them to invest or them engage, we can share some liability, become too big to fail. They might already be so far. Squeeze the Neo clouds, who are now serving too much open source. This was one of my faves. All of the AI hacks and all of the cyber risk that we're seeing means that we will have basically a currency collapse. So we have to move all of our currency to digital and into crypto. And obviously, if they're hacking everything, that means that all the voting labs are going to be hacked. So democracy isn't safe.
25:44So Trump is doing this to stay in power, get rid of the deficit, move everything into crypto. So that That was a really interesting theory. And then Huang on stage at the All In conference, or sorry, All In Summit, Mads, All In Summit, basically telling Trump there will be no slowdown. And then Trump absolutely going for it, saying it's all a hoax, hoax, hoax, hoax. So what now? I guess I don't even know where to go with this, but Pri, have you got any notes on this one? So I guess this whole conversation between Huang and Trump was, Trump said, I think Huang said, was talking about a slowdown and Trump said, you're right.
26:23Sorry, he said to Trump, you're right. We're not going to let that happen. And Trump said, this is all a hoax on AI slowdown and on Darius's essay. But I think his own line was slowing down is definitely a long strategy. He also said that. And I think this is the bit that gets completely lost is that Jensen endorsed third party evaluators in the same session. He said, if you'd like to have party evaluators, that's no different to financial control. We have auditors, right, for the banks. So I think like, if we take a step back, and Mads, you might argue again, to be honest, are Jensen and Dario, like, we're saying they're on two different sides of the argument, but they're effectively saying the same thing.
27:00Like, we do still want auditors. I think the part that is much more difficult to sort of put into place is, if we have auditors, if we have evaluators, who pays their access, how long do they get, and what happens the first time a third-party evaluator says no. Well, hold that thought, Pri, hold that thought, because Mads, let's bring in the Elon statement, One of the, I thought was one of the most pertinent things he mentioned on stage at the All In Summit. Can you talk to that a little bit? A hundred percent. Yes. So when he's saying Dario is right, what is it he's agreeing with? Because Dario said lots of things.
27:37And if the view is, look, these models are going to be incredibly powerful. We need some level of supervision in terms of figuring out, you know, where are the risks? and are they aligned with the intent of the creators and the users? He said, who's going to be able to do that work? Who's going to be able to check those models? And his suggestion was effectively, look, let the labs have access to each other's models and red team them so that in the pre-release, before the model is released in the wild to everybody, you have assessors, testers from the other labs that have access via an API to test the models and make sure they behave in the way one would want them to behave.
28:17And so, of course, immediately the question comes up, well, what about IP theft? Are people then going to use them to distill the models? And he said, effectively, look, there'll be logs. And if anybody, you could see how people are using the models. If they're just using them for distillation. That's where my brain went to. It's like, oh, I see. So that means that everyone can see everything. But he absolutely went into why that won't be the case. So, yeah, I think it's totally defensible. And it's interesting coming from him, right? I mean, he's obviously, he's an engineer. He's thinking about it in that way.
28:45I thought it was good. A step back, people talk a lot about this slowdown and slowing down. I'm not sure that's what Dario is saying. If you think about, it's this whole notion of RSI, recursive self-improvement. And what does that mean? Well, it means if I have an AI that's powerful enough, it'll be able to figure out how to make itself better. So I create an AI and it thinks about how to make a better AI and it makes that AI and that then thinks about how to make a better AI. And in a recursive way, if I have enough computing power, you create a spiral that can go very, very fast. And what Dario is talking about is, what if we take some of those gains from that speed up and instead of just headlong accelerating more and more and more until this thing careens out of control, we use some of those speed gains and allocate some of those to making the model safe and allied instead.
29:47So my take was it's actually mainly about that at the first level. Then he's got some second and third order stuff, which is about creating kind of global regulation and getting kind of having a global regulator that needs to look at models from the US and China. And it just that seems completely fictional. And I just can't see how that will happen right now. But I actually think his level one is probably not such a bad idea. I think to have the labs check the homework of other labs, just feel, I mean, there's not like there's 50 of them. There's two of them. No, exactly. Or three of them, I guess.
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30:23His level one is effectively invite the assessors into the organization. Give them an employee badge. Give them access as if they're employees, which he says is different from having people sit on the outside. That's not what you do with an auditor. Auditors don't typically have an employee badge. Yes, they can get access to everything they ask for, but they're not sitting in all the meetings. They're not necessarily seeing how the sausage gets made in real time. And his argument is that's probably the step we need to take. Musk is then one step away from that saying, look, there should be API access.
30:59We should be able to test each other's models. So maybe that's to your point, Pri. When you get into that, it seems like maybe a nuance in terms of different views as opposed to qualitatively people just completely disagreeing. They are probably closer than some people think. This reminded me of what Sack said very early at the All In conference and basically speaking to Sam Altman and Daria Amadei, basically saying, but they're your models. You fix this. You work this out. They're yours. You are the frontier. There's only two of you. And I went, of course, you can blame. Like Daria going, oh, we need to do this.
31:34Hold on a second. You do it. It's on you, this. So I think that was very, very pertinent. Pri? Yeah, I think you're sort of bringing together quite a nice point, which is that we're having the opinions of all of these sort of leaders in AI talking about what they believe. And Mads, you covered the sort of the three of the points that Dario had outlined in his essay. So, of course, the first one being having sort of employee-level access and the right to publish findings that a company can't redact, and then labs in democratic countries coordinating and coming together on what they agree the safety standards should be.
32:06And then like eventually some version of that from China. And then you mentioned what Musk had said. And within a few hours, Sam ultimately agreed and committed open AI to the same evaluator access. So and also push the IPO out of 2026, of course, with a lot of the AI, I guess, fear mongering or not fear mongering. So in a very rare scenario, you have Dario, Sam, Elon all agreeing on something. And then Demis, I guess. They're not agreeing on Elon's plan to check each other's homework. They're agreeing on the more higher level. We need some form of homework checking. Yes, totally that. Totally that.
32:43I'm just bringing together all the thoughts of like these different leaders as opposed to. So then we've got Dennis from DeepMind saying direction was correct, but he didn't commit Google. And then, of course, we have Satya didn't commit and said AI cannot be controlled by a few large entities and is sort of his pitch for open weight models. and then mark zuckerberg that came in and said ai companies already feel a responsibility to be safe because of liability so i guess in other words did he say no um he basically said well he wrote almost an i told you so retort which just irritated me he wrote this massive long essay saying well we didn't release muse because of these things and we're smarter than you and i thought oh okay right fine after the horse is bolted but i think there's um i think yeah i i don't know where that that's all going to land mads what else what other points have we missed on the doomerism how else would you round this out or how or alternatively if you want to go there how do you think this is going to play out over the next kind of six to twelve months pre-touched on it a little bit because sam altman has now come out and said look maybe now isn't the time to ipo and i don't know Let me raise some private money.
33:56Let me raise some more at 1.2, right? Yes, exactly. I think the truth is he would have found it really difficult to IPO right now in the way he would like to because every time you go out and see an allocator, Anthropic would have already been there with more revenue, better profitability, better growth rates, yada, yada, yada. This is what makes it so hard to deconstruct this whole argument because everybody's got commercial requests as well. So who is doing what for what kind of reason? I think I always find it really hard to decipher. Well, I mean, I think it's fair to analyze the two scenarios, right?
34:37You can take it at face value or you can also try and look behind the scenes. Why is Dario going out in the way he is? Well, is it because he really truly believes that his company is about to melt the earth? Or is it because he's created a company culture and hired a lot of people that believe this. And actually he's under a lot of pressure internally to say these things. And you can guess and second guess. And sometimes it's just like you get so, you know, confused by who's got what motives. Yeah, yeah, for sure. And obviously the end game here is that they build the most incredible models that we will benefit from.
35:15And they do their commercial fundraise. They build their businesses and they do their massive capex spends or whatever it is that they need to do these incredible things. I think that's the kind of keep your eye on the prize, I guess, is the context. Watching that to what you were saying, Mads, watching that play out in real time on stage in front of us when we were sat in row four looking at Jensen Wang talking to the guys and then Trump dialing in and Satchett saying what he's saying. It's like that was such an incredible moment in time for us just to be at the front row while those conversations were playing out.
35:52But let's talk about the spend because obviously we've all seen and I guess it was expected, although no one really knew if Trump was going to get his way. But Kevin Walsh actually did pump rates up a bit, only 25 bps. But the interest rate in the States has gone up. The Bank of England has held rates steady in the UK. Not that we have much of a dog in the race here, but that's another interesting little mark in the sand. And we also saw for the first time in three years, the US 10-year bonds go up above, sorry, the yields go up above 5%. So this is, I guess the story here is how will this impact AI capex?
36:34How will inflation pushing interest rates up? How will all this, and obviously bonds in the background, not too far away. How will all this impact the AI spend? Over to you, Mads. There is sort of the old way and the new way of thinking about tech finance and interest rates. And the old way was, look, you know, tech companies, when they start out, they're loss making forever and ever. And then at some point in the distant future, then the cash flows will come. And because they're very far away, we need to discount them back to today's value. And so because they're quite far away, we need to discount them for many years.
37:11And as the interest rate goes up, there's the sensitivity that, look, there's just a big difference between whether I'm discounting at 1 % or 4 % or 8 % when it's many years down the line. Fine. Today, we are in a different world because it's no longer just about what are these cash flows going to be discounted at at some future state. It's actually debt that goes into funding a lot of the buildout of the CapEx. And therefore, it's immediately the cost today of some of these big projects. And so, you know, we've seen how Meta has been raising money for the Louisiana deal. Oracle has been raising lots of bonds.
37:48NVIDIA is guaranteeing debt on leases. So it directly impacts right now what's the cost of financing these projects. And so how much slack is there in these projects as the rates go up? Amazon came out and said, we've got a three-year payback on the CapEx. We're kind of the dollars we're plowing into the ground on AI CapEx right now. That's pretty good, right? Even if you go from a three - to four-year payback, that's probably still a deal worth making. So the question is not so much whether the first 100 basis points, they're stopping projects. We expect that they'd still go on. But the question is the elasticity.
38:25JP Morgan said, look, AI, the AI CapEx boom, about$5.5 trillion of CapEx here over the next few years. And the question is, how much do rates have to go up before that 5.5 become 5, become 4, become 3? And obviously, that does make a huge impact on the whole system. And where does it break? Well, no way better, I think, to analyze that than to look at NVIDIA. If you have$5.5 trillion of CapEx, I think our estimate is that today, NVIDIA, they have a take rate of about 53%. So as the world spends a billion, sorry, a trillion on AI CapEx, NVIDIA would get 530 billion of that. 53 % of everything that's spent.
39:14This is the 20, just to clarify, this is the spend expected up to 2030. Yeah, okay. To 2030, exactly. Next year, the guide is 690 to 700 billion of revenue for NVIDIA. That's what they're guiding. and they gave us a forecast for next year's revenue for the first time. And so for them to be there on a 53 % take rate, you need about$1.3 trillion of CapEx. Okay, so we can kind of work our way backwards from what does the CapEx need to be for NVIDIA to take the revenue they've told us they're going to get. Right now, that$5.5 trillion runs out within a few years, meaning that for NVIDIA to keep growing, if they're already such a big portion of the market, That CapEx number has to keep growing, but nothing will grow forever.
40:03And might it even shrink? That's the question. Shrink the envelope to$4 trillion. Well, NVIDIA's growth is going to stop and that revenue is going to start to decline. Shrink it to$3 trillion. Gosh, we're all going to be in a world of pain. And so that's really, I think, what the market is grappling with right now. And you could say, how does that impact us at the venture level at the earliest stages? Well, today, we're in the unique situation where ambitious early-stage companies, they can raise 20, 50, 100 million really, really early on because the returns are so visible. So SpaceX went public, Anthropic is going to go public, OpenAI, well, it might not be next month, but it looks like it could be soon.
40:47So everybody's excited and the money's cycling through the system. And of course, NVIDIA is the big backstop that's been funneling lots of capital back into the ecosystem. But their margins are still rather fat. I mean, the last time I looked at them. Their margins are super fat. They're dropped. I mean, I think it went from 79 % to 73%, but they're still fat margins, right? They are fats. But, of course, the question is if their growth suddenly is going to stop or maybe even go backwards because the CapEx isn't there because people can't fund the data center build out, well, that is going to impact the whole ecosystem.
41:20And so this is not a forecast, but just an attempt to try and connect some of the dots here and follow the money. I guess that's more a case of how long can they remain the bank for? The reason we bring this up is because we're talking about interest rates. And you could sort of say, okay, you know, the Fed, Bank of Japan, raising rates, yawn, why do we care, right? A quarter of a percentage point. But Japan raising rates is a good thing, right? Is it, though? Is it? You look at the level of debt they have. Debt to GDP is astronomical. It's really expensive for them now. I mean, you can have 200 % debt to GDP if you're not paying anything on the debt.
42:02Suddenly, rates go up. You have to start servicing that debt. That crowds out money that could have been going into investing in infrastructure and technology and education, et cetera. Well, I thought it would strengthen the yen, and I thought that would make Besant happy. I don't know. I'm just slightly talking out of the top of my wheelhouse now. And also, it's 1 to 1.25. I mean, their interest rates are crazy low compared to the rest of the world. So I don't know. So we'll keep eyes and ears out on that. Sorry, I interrupted you, Mads. Anything else to close this off before we move into other AI news?
42:34But that's the reason why we're talking about the rates is because they impact indirectly and directly. They impact this. And so, yeah, you're absolutely right. We do keep an eye on it. Staying with AI, let's talk a little bit more about open AI. So IPO is off for now. But as we've spoken about already, they're looking to raise at 1.2 trillion. So they're looking to do a private round. The other thing, Pri, I want to talk to you about this. So we saw that ChatGPT ad revenues are up in the billion. So a billion run rate, should I say, just to be clear. So Astra's crushing it. They're doing really well.
43:06I saw the OpenRouter share of wallet token usage. I always thought that Anthropic, again, would be crushing it there. But OpenAI is eating their lunch with new models. And so this is still a two-horse race. But Pri, anything else on that before we move into the rest of the AI news? Yeah, just a quick thought. And tell me if I'm thinking about this the wrong way. But I guess we talked about ChatGPT ads reach a billion annualized run rate. And that ad number sounds enormous, but is it actually tiny? You've got a billion dollars annualized across more than a billion weekly users of ChatGPT, which I guess is about a dollar a head.
43:45And bear in mind that that's a run rate. So it's roughly 83 million a month. just to clarify run rates i'm sure people know this but it's just it's almost like taking your previous figures and then and then rolling them forwards and generally how they do this is at the highest usage number so they can be a little bit overcooked yes thank you for explaining that so i guess annualized so that's not a billion collected so either that's the most like under monetized audience in the history of the internet and maybe maybe i'm saying this because i'm because i'm my age but oh it's early evidence that that a conversation is a much harder thing to sell advertising in a sort of versus in a search box so you're on a you're on a chat format is it harder to sell advertising in there versus google in the search box and chat gpt's format is closer to like let's click to chat here versus as a chatbot is versus clicking into a website which is what google will do as part of their search box so then is is that is that something which we need to learn to measure to be able to drive more revenue out of this.
44:42So could this number be higher is effectively what I'm saying. Preet, you're right. It's still a small number, but the business is effectively six months old. They're ad business and it had a bit of a stumble and Anthropic had a big dig at them at the start of the year, kind of saying, you know, if is this really private, I've had my chats and then it's going to be being used to push products my way. I would have thought they can accelerate this. I think you're right. It is under-monetized right now, but you can look at that as a problem or you can say, what an incredible upside. Because if you can get to a billion in run rate, you can get to 10.
45:15And if you can get to 10, you can probably get to a hundred. And that's when the business starts to become interesting. And so still, I know Anthropica really, and sorry, OpenAI have really pulled back towards a leadership position in model development. They've got great coding tools today. Astra is phenomenal. We talked about Open Router and some of the traffic trends we're seeing there. We can also talk about why that may not be as important as just kind of the headline numbers are saying. But even so, I think Anthropic, very much the enterprise business model. And I think OpenAI can build a formidable consumer business.
45:51And I think they'll do that. And, yeah, I think this is a down payment on that as opposed to the final number. I would expect a lot of growth there. I think so. I think there's a lot more growth in that billion run rate. I can't see how. I mean, especially the context that they have around the user and being able to supply relevant ads. I mean, it also leans in a little bit into Meta's You Are The Product model in the new Muse release where they're looking to say, let us use your data. And obviously Altman's gone the other way and said, well, we're already using it, but here's an ad and we're going to monetize you in that way.
46:30So I think there's a lot more to go. Well, the other thing I wanted to chat about with you, Mads, was I wanted to see coming to Europe, coming to the UK, we need a chunk of IPOs to happen right. We've got to at least hit last year's figures and we've only got the autumn, only got basically whatever Q4 to do it. Will we make it? Five bill, yeah, I think so. Okay, boom. And then I guess to round it off, how should we look at the kind of the IPO moves, what's happening for the hyperscalers? Any other notes on them over the other side of the pond? Maybe picking up a little bit on the open router numbers, I think both top models on Walker's chart are open AIs.
47:15They've got the Astra by dollars. Yeah, by quite a margin. They've got Luna by tokens. I think what Anthropic did effectively is they've got now the four model tiers, right? They've got the Fable, Opus, Sonnet, and Haiku. And Haiku is kind of the cheap and cheerful, mega fast, super cheap, but slightly less performant model. I think, effectively, what Anthropic did was they said, look, we don't want that super cheap model to cannibalize Sonnet, which is a relatively expensive model, very good, relatively expensive. And so they just haven't released an update to it for a very long time. We can see Fable now is on version 5.1.
47:55Opus is 5.2. It's just been soft release, and I think will come out more generally over the next week or so. And Haiku is on 4.5. So it's way behind. And it's actually not very good right now comparatively. And what OpenAI did was when they released the generation 5.6, they had to solve the Terra, the Luna. Luna being kind of the Haiku equivalent, and it's really good. It's really fast and it's really cheap. Cat and mouse, baby. We've been switching workloads to Luna. I know a lot of other people have. And that's what you could see in those open router charts. I think it's just great that we have this competition.
48:29Oh, 100%. Long way it lasts. So I think the other point on the open router data is that is for people that route traffic via open router and will route some traffic via open router and others will. I promise you, 98 % of enterprise traffic does not go via open router. Yeah, it's only one market. They're on enterprise agreements directly with the anthropics of this world. It would be skewed that way, right? Is that what you're saying? The numbers would look like that? 100%. The traffic you see in open router is done by developers, by tinkerers, by smaller companies, by startups that are playing a lot with different models.
49:08If I sit in an enterprise, I've been standing up some kind of data pipeline and there's some LLMs that do some analysis there. I am not going to swap my model every two weeks. This thing has been baked. It's been tested. I've got it on my enterprise agreement. It's sticky. That's why enterprise revenue is nice. That's fair. That's fair. I think it's a really interesting vector because we get caught up in these kind of little soundbitey things on LinkedIn or Substack or X. and I think context is often missing. So that's an important point. I want to talk about our happy place. I want to talk about physical AI, mainly humanoid robotics this week.
49:45I think it's been a relatively large week for the humanoids. This week, Agility has said with their digit five, they are ready to put humanoid robots next to human workers. We saw Isambard open a factory in central London. That was a lovely story. Biggest since the second world war. Ubi Tech, I don't know if I'm saying that. Is it UBTECH or UBTECH? I'm assuming it's UBTECH. It's mass-producing humanoids in China. Bain has raised or is raising 1.6 bill to back that category. Is it a big week for robotics? Big week for physical AI, Mads? It's all happening. Back when we started talking about physical AI, people were looking at us a bit funny.
50:25In 1954 in black and white. Exactly. You know what? That's exactly right. There's so many interesting things here. I thought, UbiTech, I don't know if you saw, do you know what they're running the factory on? No, I don't. What software are they using? I had not seen them until the news story, no. So they've implemented a spanking new implementation of Siemens factory management software. I thought you were going to say like Windows Vista or something. I was waiting for the hook. Well, to some people, maybe it's the same thing. I just thought it was super interesting. You know, there's been so much doom and gloom about how European and especially German automakers are getting beaten up by Chinese competition.
51:08So I thought it was nice to see some European tech going into the kind of these next-gen factories. So it's Siemens Digital Twins. It's traceability software. It's kind of all the tech, all the software they're using in that plant at UB Tech is Siemens. Anything more on the humanoid piece? So Digit 5, I think, is interesting. is this robot where they're sort of saying, look, there's not going to be any barriers. We've often talked about how one of the issues with humanoid robots is if you've got to cage them off from humans, then what's the point? Yeah, yeah, yeah. The whole idea of a humanoid is they can fit right into a place where a human would have operated.
51:46And that, of course, works best if you can still have humans there that can do their thing. And so what they're saying now with the new robot is it's designed, it's made, it's built to operate alongside humans. And that's interesting. The question is, will this form factor really deploy at scale with customers? I'm not convinced. No, our assertion has been, look, other form factors will be more useful. It'll be much more like, why would you buy a humanoid robot to drive your forklift? You're just going to put intelligence into the forklift. But there are people doing, who is the company that's doing the half-height humanoids where they're on pallets, but they've got arms and they can move around.
52:29So they're not fully human. It's the humanoid robot company called Humanoid. Oh, there you go. Based here in London. No, I'm with you. I don't think we're going to see a massive... I mean, obviously, there will be a use case for humanoid robots. There has to be. But I'm not convinced that it's going to be this kind of mega push. I'm not massively sold on the Optimus next to Granny, as you know, but we're going to obviously see how this all plays out. any pre i don't know if you've got any notes on this one or isambard or for either of you anyone got any notes on what's happening with them and the numbers and the factories and anything on that yeah so i guess the update is they've opened um global hq in a factory in southwark and london on monday um south of the river love south london bring it on yes and a bit on a bit on their business so it's machine precision metal parts for customers like andoril babcock um techover and Alex Fitzgerald, the founder, just under two years ago, they've raised about$59 million, a seed from Notion, a 50 million Series A led by USB in March.
53:36And the part that's quite impressive is that they started this year with four factories, and they now have 16 across the UK, the US, Germany, and France, with revenue up, I think, 10x. And you can't just build 12 factories in that shorter space of time. So what's actually going on with the business model is it's a franchise. And what makes, I guess, the UK exciting for this is that Britain is full of small machine shops with two or three CNC machines often run by someone in their 60s with no succession plan, which is a huge problem in manufacturing in the UK at the moment and in Europe, actually.
54:11And that person can't go and win aerospace and defense work because their certifications are expensive or because the sales cycles are brutal. And then Eisenbard comes in, and turns up with like an order book, the paperwork, the software that routes the work across their network, across their production lines. And their product isn't in just machining, it's the demand. So they're able to fix this demand issue. That's a lovely model. I like that. What an egalitarian model that is. Yeah. And they're now able to run their first franchisee with 22-year-old machine operators who can now run factories as opposed to the person who wants to retire.
54:47Oh, they've kicked out the boomers, have they? Yeah. Oh, maybe not Sue Egalit. Dan, you know what? They've retired. What, at 60? The slackers? Get back into the shop. What are you talking about? I'm telling you, it's a huge problem in manufacturing is retention of skills. It used to be you would train up on knowing how to operate certain machines and knowing how to do certain things. And it's just really hard because the people that know how to do this stuff, many of them retire. you can't get in the new workforce it takes too long to train up etc that's been one of the issues we've had but i think there's an ai for that anyway um mads deal of the week my good man exane is a european startup based of all places in rome you had me at european startup baby Yes, absolutely.
55:42They've raised$270 million at a$1.7 billion valuation led by Headline, Sofina, Goldman's, and a host of other groups. What do they do and what's the backstory? So Gianni Guzzo, he ran a firmware penetration testing firm. What is that about? Well, it's all about figuring out is my firmware so firmware is the software that sits inside a computer chip is it safe or is it vulnerable oh very needed the absolutely it's more needed now than ever why because physical ai because we're putting chips into everything because they're becoming smarter and smarter and so the bet is really about selling to chip makers and device manufacturers selling this capability and making every chip able to defend itself from vulnerabilities and from malware.
56:42They built some beautiful software. They figured out how to do this and get to a nice big market position. And obviously that's led to some great investment here. So well done. Well done to the team. I think I can do well. Mine is the DeepMind spin out. The startup, the world model startup by Jack Parker Holder, Matthew McGill, and Philip Ball. So they span out of DeepMind in August, I believe, and are looking to raise 700 mil at about four bill. That's just a cheeky little pre-seed round. And they're called Emulate, and they're a new world model outfit. I don't know their explicit angle, but I do know they were building games and other world model 3D, other world model stuff inside DeepMind.
57:30I think it's a very natural evolution for them, but we'll see how they do. Pri, what is yours? I've got a fun one that I saw this week, which was Specs, which is competing with Meta and have just launched by Snap. Oh, no. No more perv glasses. You know I love anything consumer. You can put these glasses on and then you can be on the train and you can read a book in front of you. So you can see the book through your glasses or you can be in a new city and you can navigate the city with maps and you can see the map in front of you on top of the real world. How are they going to compete with that?
58:05You can watch a Netflix show. How are they going to compete? It's a good question. But it's an incredible, it's an incredible launch on the market. I want a pair of those. i've got a pair of vichia beasts and mads and i were playing with the the latest meta specs at the all-in conference they're okay i mean i've got i've got a set of google glass still on my rack to my right which weren't very good um obviously what were they 2014 i think they came out 13 14 so they were super super early i'm not gonna listen i know that i've seen that meta are releasing a non-camera version so no no no no perv specs lovely lovely people any anything else what about what's coming up in the week ahead mads anything that we should keep an eye out for i think there was just one big thing that caught my eye which is the summit next week between trump and is he going ahead and and she well that's you know at time apart that that's my my impression He's going to be hosting the Chinese premier at the White House.
59:12It's going to be the second summit of the year. And they're going to be talking about AI and export controls. Of course, that will feed into chips. It'll feed into rare earths and all the other good stuff. And it will have big implications for everybody, including us here in Europe. So I think that's one to keep an eye on. I'm always intrigued as to what goes on behind closed doors and actually what we hear in the press. i'm sure there's a massive disconnect pre we've got a big week in super c towers this week what's cooking we do indeed so we've got super x on monday which is where we bring together founders and corporates from our network and we set them up with one-to-one meetings so the speed dating we get we get them get them get them get them kissing and canoodling well i don't know what's in my diary this week i'm still a bit jet lagged and a bit all over the place obviously super xing We're doing some more recordings.
1:00:05We record our portfolio founders and give them like little promo videos to kind of tee up what they do. So we've got a couple of those teed up this week to record with those. We're also doing a physical AI expose, which kicks off this week. Super X on Monday. So I will have to look because I have been delinquent with my diary management. That is it, I think. Thank you so much for listening. It has been a pleasure and a gift, Mads and Pri, my favorite people. and we will catch you all next week.
From the publisher
Europe’s venture ecosystem has grown, but how durable is the capital supporting it? Government and sovereign funding remain significant while European pension fund participation is still limited.
In this episode, Dan Bowyer, Mads Jensen and Priyanka Savjani of SuperSeed examine what Europe’s reliance on public capital means for the long-term strength of its venture market.
They also share their takeaways from the All-In Summit, discuss why Langdock reversed its Delaware structure, assess how higher rates could affect AI infrastructure spending and explore Europe’s role in physical AI and advanced manufacturing.
Highlights
- Why public funding can leave European venture politically vulnerable
- What limited pension fund participation means for long-term capital
- Why Langdock moved its corporate structure back to Europe
- Whether independent evaluation can address AI safety concerns
- How rising rates could reshape the AI infrastructure boom
- OpenAI’s advertising opportunity and the economics of conversational AI
- European technology’s role in physical AI and manufacturing
- The companies and technologies worth watching this week
Timestamps
- (00:00) Cold open
- (01:13) Introduction
- (02:39) Inside the All-In Summit
- (15:00) Closer ties between Canada and the EU
- (17:59) Why LangDock moved its corporate structure to Europe
- (20:38) Who funds European venture?
- (23:44) AI safety: Slow down or audit the models?
- (35:53) How higher rates could affect AI infrastructure spending
- (42:45) OpenAI’s advertising and monetisation opportunity
- (46:39) European IPOs and the OpenAI–Anthropic model race
- (49:41) Physical AI, humanoid robots and industrial software
- (55:37) Deals and companies of the week
- (58:48) The week ahead




