In short
EUVC Podcast Episode Summary
Episode Title
E691 | This Week in European Tech with Dan, Mads, and Lomax
Episode Description In this episode of EUVC, hosts Dan Bowyer, Mads Jensen, and Lomax Ward dive into recent developments in European tech and venture capital, focusing on the competitive landscape of AI models, infrastructure investments, and emerging European trends.
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Key Topics Discussed
- AI Model Arms Race
- Anthropic's Opus 4.6 vs OpenAI's GPT 5.3
- Both models released within 20 minutes of each other.
- Anthropic's model is noted for advancements in reasoning and knowledge work.
- OpenAI's GPT 5.3 reportedly excels in coding benchmarks.
- Discussion on whether developers will switch back to OpenAI from Anthropic based on tool familiarity and performance.
- China's Open-Source AI Advancements
- Introduction of models like Kimi K 2.5 and Qwen3 Max, showing strong performance at lower costs.
- Concerns about how these models may endanger Western AI performance leadership.
- Alphabet's Capital Expenditure
- Alphabet's anticipated $180 billion in CapEx for data centers by 2026.
- Reflects a shift from a software-centric to an infrastructure-driven business model.
- Market reaction to CapEx spending leading to stock price drops despite positive earnings.
- The SaaSpocalypse
- A significant drop in software stocks (approximately $300 billion) due to fears about a shift from seat-based to consumption models.
- Discussions on the impact of AI agents potentially reducing the need for traditional SaaS tools.
- EU-US Uncoupling
- France's ban on Zoom and Teams for civil servants in favor of a state-backed platform (Biziou).
- The push for European sovereignty in tech and the implications for US tech companies operating in Europe.
- Spain's Social Media Crackdown
- New laws targeting under-16 social media use and accountability for platforms.
- The reframing of social media regulation as a public health issue.
- Muskanomics: Space Data Centers
- Speculation around the feasibility of data centers in space and Musk's vision for merging xAI with SpaceX.
- Skepticism regarding the practicality of such a venture, including concerns about physics, payload logistics, and energy requirements.
- Competitive Advertising
- Anthropic's playful marketing against OpenAI, positioning itself as an ad-free alternative while OpenAI introduces ads.
- Critical Minerals and European Dependency
- The EU's reliance on China for critical minerals highlighted in a recent report by the European Court of Auditors.
- Discussion on the long-term strategy needed to reduce this dependency and the potential implications for European tech.
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Key Takeaways
- AI Evolutions: The competitive landscape of AI models is rapidly evolving, with significant releases from both Anthropic and OpenAI indicating a fierce competition for dominance.
- Investment Trends: Alphabet's massive CapEx signals a more significant trend of tech companies investing heavily in infrastructure, reflecting the growing importance of data centers as essential components of digital business strategies.
- Market Dynamics: The SaaSpocalypse refers to the market reevaluating the sustainability of traditional SaaS models in light of AI advancements that could replace or augment human functions.
- Regulatory Landscape: European countries are increasingly taking steps to assert technological sovereignty, moving away from reliance on US tech firms.
- Future Outlook: The discussion on space data centers highlights both the ambitious vision of leaders like Musk and the skepticism surrounding the practical execution of such projects.
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Notable Quotes
- On AI Model Competition: “For the first time, there was this feeling that we have had, we’ve been given godlike powers in our hands.”
- On Alphabet's Investment: “The mantra really is, you know, the risk of underinvesting is greater than the risk of overinvesting.”
- On the SaaSpocalypse: “If humans are contracting in white-collar roles and agents don’t need that SaaS access... how can these SaaS businesses survive?”
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Conclusion This episode of EUVC presents an insightful examination of the current state and future pathways of European venture capital, particularly in tech and AI. The discussions illuminate both challenges and opportunities within the sector, emphasizing the importance of innovation, regulation, and the evolving dynamics of global competition in technology.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAI Models and Current Trends
0:45 to 2:02
A discussion on the latest developments in AI models, including InfraSpend and Muskonomics.
“This show is not investment advice and the hosts of this episode may be invested in the funds and companies featured.”
Anthropic vs. OpenAI Feud
2:02 to 3:48
Exploring the rivalry between Anthropic and OpenAI, focusing on model releases and advancements.
“and then there's some open source juice.”
Model Comparisons and Future Implications
3:48 to 5:46
Comparing the performance of Anthropic's Opus 4.6 and OpenAI's GPT 5.3, and implications for developers.
“Kind of the whole world of technology was ecstatic.”
Security Enhancements and Open Source
5:46 to 8:14
Discussing security issues and open source innovations in AI models by Anthropic and others.
“or is the fact that people have become so comfortable now with Anthropix coding tools, Cloud Code, does that mean that the platform is sticky?”
Chinese Models and Global Innovations
8:14 to 10:58
Insights into new AI models from China and their potential impact on the global scene.
“And so the notion of open source was always, look, the whole world can see the code with enough eyeballs.”
Alphabet's Major Spending Plans
10:58 to 12:12
Analyzing Alphabet's planned spending on data centers and its implications for the industry.
“So the community is still working out exactly where the hard points and the weak spots are, etc.”
Market Reactions and Future Outlook
12:12 to 14:02
Discussing market reactions to Alphabet's spending announcements and future expectations.
“however they beat earnings you know announced this big spend happy happy stock price dropped 5 % on the news of the CapEx.”
Google's CapEx Announcement and AI Investment
14:02 to 15:00
Exploration of Google's recent CapEx announcement and its implications for AI investment.
“I think one of the questions, you know, we discussed yesterday, is this really a thing that Sundar's gone out with this CapEx announcement?”
AI User Growth and Market Dynamics
15:00 to 16:10
Discussion on the rapid growth of AI user bases and its impact on market dynamics.
“Of course, some of this is not pure R &D.”
Monetization Challenges for AI Platforms
16:10 to 17:20
Analyzing the current challenges faced by AI platforms in monetizing their services.
“Many people have started switching from JackGPT to Gemini.”
Show all 29 chapters
SaaSpocalypse: The Shift in Software Models
17:20 to 19:30
A deep dive into the current software market turmoil and the implications for traditional SaaS businesses.
“OpenAI will be able to make app monetization work.”
AI Agents vs. Traditional SaaS
19:30 to 23:00
Exploring the impact of AI agents on traditional SaaS platforms and market fears.
“So if you haven't seen this week, we saw a global stock market sell off.”
Implications of AI on Legal and Data Services
23:00 to 26:03
Discussion on the implications of AI advancements on legal and data service industries.
“And a lot of these are European businesses, actually.”
Europe's Tech Sovereignty and the Great Uncoupling
26:03 to 28:00
Examining Europe's moves to reduce reliance on US tech firms and foster local alternatives.
“are still using lexus nexus and all these other products that they need and have used today so So it will be much more gradual than the markets have taken into account this week.”
French Sovereignty in Tech Platforms
28:00 to 29:40
Discusses the push for European tech sovereignty through local software alternatives.
“Watch for the legal proceedings, then we'll see.”
Challenges of National Tech Champions
29:40 to 31:46
Explores the difficulties of creating successful national tech champions in Europe.
“There is a, it's a bit of a step change.”
Debate on Social Media Regulations
31:46 to 34:00
Examines new regulations on social media and the implications for free speech and public health.
“You could use it to run operating systems.”
Public Health vs. Free Speech
34:00 to 36:20
Analyzes how European leaders frame social media issues as public health concerns.
“So before it was like, we want to control what's being said on the platforms, which there's always going to be debate around that.”
Accountability for Entrepreneurs
36:20 to 38:40
Discusses the balance between holding entrepreneurs accountable while fostering innovation.
“There's now processes being kicked off in the UK.”
Musk's Influence and Corporate Structure
38:40 to 40:00
Explores Elon Musk's recent corporate moves and their implications for the future of tech.
“I think all this talk about criminal liability and putting people in jail and all these raids, I think it's a bit of a slippery slope.”
AI and the Truth-Seeking Mission
40:00 to 42:00
Considers the challenges of creating truth-seeking AI models in a commercial context.
“But it's just that that success has led to a hubris that's eroding clarity.”
The Profitability Gambit of Musk's Ventures
42:00 to 43:50
Explore Musk's approach to AI and its profitability challenges.
“Whereas the, you know, Starlink is printing money.”
The Viability of Data Centers in Space
43:50 to 46:00
Discuss the feasibility of establishing data centers in space and Musk's vision.
“This is going to be profitable within three years.”
Skepticism Towards Musk's Space Aspirations
46:00 to 49:50
Debate the long-term viability of Musk's plans for data centers in space.
“But, you know, Musk, like, he now has the full stack.”
EU's Critical Raw Materials Challenge
49:50 to 54:40
Examine the EU's struggles with its Critical Raw Materials Act and reliance on China.
“I'll take that bet every day of the week that it is not going to happen.”
Navigating the Rare Earth Challenge
56:01 to 57:34
Discussing the geopolitical implications and challenges surrounding rare earth elements.
“Well, we don't have the infrastructure to process it at the moment, but all of this stuff could be built, but to permit it and find a place to do it is very, very hard.”
Clinical Trials and Innovative Solutions
57:35 to 59:00
Exploring how a young founder is leveraging LLMs to revolutionize the clinical trial process.
“So the cost of drugs, the cost to get a drug to market is anything from two to three billion now.”
European Unicorns on the Rise
59:01 to 59:26
Highlighting five European unicorns achieved in January, showcasing growth in the tech space.
Funding Growth Stages in Europe
59:27 to 1:00:30
Discussing the launch of a new fund targeting growth stage investments in European companies.
“of a company because aikido is basically you know they've gone from standing start to series b in a couple of years just rolling out in the us now i think it's just it's just important to uh important to highlight that.”
Transcript
Automatic transcript. May contain errors.0:00Welcome to Upside, where we look behind the headlines that affect European venture. yay it is Lomax Mads and Mike itself and we're talking about the latest on AI models we've got a bit of a dig into InfraSpend which has been taking the shine off the stocks Sasspocalypse if you don't know what that is you will in a minute the US EU uncoupling are we quite quitting the US going to take a look at that Spain's moves on social the Spanish PM is not happy and Muskonomics. Can space data centers really work? And we've got a bit of a gloves off between Anthropic and OpenAI. I thought that was kind of cool.
0:49This show is not investment advice and the hosts of this episode may be invested in the funds and companies featured. Gentlemen, how are you? Mads a doodle. You've just come back from the Far East again. How are you feeling? Fresh? Fabulous. Fabulous. Re-energized. Fresh fruit and fabulous. Absolutely. That was great, sir. Dude, and Max, what's happening with you? What's the latest? I've been here this week. We had our big announce rounds, which I'm going to shout out a deal of the week at the end of the show. I saw you all over LinkedIn saying wonderful things. It is time to talk your own book.
1:20I think that's super cool. about time we had more of our own stuff on this i think that's lovely so today i think it's probably one of my favorite agendas for our calls today this week has been really big on news i've got to say not much that actively feeds back to europe we have been a little bit naughty on the time but we will there is still enough obviously here that's gonna affect europe and european venture but it is still quite US-centric. But some really interesting stories. And to kick off, Mads, your happy place. So lots of AI model activity. I think if you blinked this week, you'd have missed three new model releases, two flagships launched 20 minutes apart, and then there's some open source juice.
2:06What's going on here? Well, as you said, it seems like we're going to start in the same place. We're going to end potentially, which is kind of the anthropic open AI feud that just heated up to hitherto unseen levels this week. There's sort of the stuff that happened in the gallery, and then there's the stuff that happened on the main stage. And to start with the main stage stuff, as you said yesterday, we had the two flagship models released 20 minutes apart. Anthropic released their new Opus 4.6, which as you'll recall from last year, potentially when 4.5 was released in Q4, it really just blew everybody away as the most incredible thing the world of technology and AI has ever seen.
2:47It was the model that converted even some of the holdovers, the naysayers of, no, no, we're always going to be doing handcrafted coding and we're going to check the code to basically just resignation. There's no point coding manually anymore. Opus will handle it. Anthropik will handle it. It was just that good. Well, Darius was big on that, wasn't he? Darius said WF was basically going, you know, most of my coders don't code anymore. they just use the tool. Exactly. And so many people came out. I mean, you had Andre Carpathy, one of the founders of, original founders of OpenAI, former head of AI at Tesla, coming out and saying, look, it is so good that if I only knew everything I could do with it, I could be 10 times as good as I am.
3:33For the first time, there was this feeling that we have had, we've been given godlike powers in our hands. And now the only thing holding us back is really our ability to use the tools. Well, those tools just got an upgrade. And so Opus 4.6 was released yesterday. All the angels were rejoicing. Kind of the whole world of technology was ecstatic. Because, of course, what's been happening is, you know, OpenAI captured the world of AI and our imagination three years ago with the release of ChatGPT. And Anthropic then came from the back, kind of, you know, OpenAI renegades setting up the competitor and actually overtook OpenAI in the interim in terms of the enterprise, in terms of coding.
4:15And so they released that model yesterday. But OpenAI within 20 minutes hit back with a formidable model, GPT 5.3. And so what's really interesting is the way the two models stack up because the anthropic model has had incredible advances in reasoning, in knowledge work. It could do new cool things like update PowerPoints. And kind of as your office co-worker assistant, it's really, really hard to beat. But on the home turf, what's now become the home turf of coding, there is actually the benchmarks are saying that OpenAI now has pipped Anthropic to release what they're saying is the best model according to the benchmarks.
4:59And so this is interesting because Anthropic, of course, now are the incumbent. They're defending the enterprise territory. They're defending the coding territory. And it's going to be really interesting to see, does this mean that OpenAI is going to start taking back some share? And to answer that question, you're going to ask, what's more important, to have the better model or to have the better sort of tooling that sits on top? Because Anthropic released Cloud Code a year ago. And that is really that tool that's taken the world by storm and one of the reasons why so many of us use Anthropics tools so much.
5:35Well, OpenAI, they've released their codex tool to try and compete. And the question is, is the fact that OpenAI seem to have a better model when it comes to sort of pure coding benchmarks, will that mean that developers will start switching back to OpenAI and back to the codex model? or is the fact that people have become so comfortable now with Anthropix coding tools, Cloud Code, does that mean that the platform is sticky? Now, I'd say I've personally invested a long time and months in developing workflows and automations and skills for my Cloud Code setup. And so it's going to take quite a bit, I think, to flick me over to another paradigm.
6:13Now you could say under the covers, you can actually hook up some of the tooling with different models on the back end. and so there's just there's a lot of interesting things that are going to play out here on the chessboard it's uh it's really cool this isn't this isn't a switch is it this is not like your search you're using chat gpt as search rather than google this is actually your workflow i think that's a very interesting point you can't just rip and replace when you've built workflow in a particular toolkit so maybe this is going to be a little bit more tricksy i'm surprised that they're going toe-to-toe it feels like we're now at this kind of diverging point where with ads in in chat gpt it feels like open ai can go in a very particular direction and and anthropic can go in another direction so it feels odd that they're going toe-to-toe on for the coding for the engineering side is that fair don't don't forget we don't know if the ads will work yet i mean i think you've always said look as soon as the ads are switched off are switched on the users will switch off and go somewhere else and that's possibly true i think we just don't know we don't know whether it will be a google-like experience where people have ads and it's sort are fine and we don't mind too much, or whether it will be or we feel that's intrusive.
7:20And then we'll come back to intrusion and betrayal and all those good things. Later on the show, I know you've lined up some good stuff for us. Just a couple more things I wanted to share on the new model releases. So, you know, what OpenAI have said is that the GPT 5.3 is the first model that helped build itself. So they say it's debugged its own training pipeline. It set up a lot of the own flows that could create the model. So this is really kind of this recursive improvement that we've always been talking about in the lead up to AGI. Another thing that's cool is Anthropic. Of course, they've been focusing a lot on model alignment and safety.
7:57And they were quick out to say yesterday, their red team, their security team said, we have found more than 500 bucks of serious security issues in open source libraries that we found and developed patches for. Or not we, but Opus 4.6, the new model. And so the notion of open source was always, look, the whole world can see the code with enough eyeballs. All bugs are shallow. And that means that the whole world can see the bugs. And so code is, you know, somebody will discover the bugs. But Anthropic is saying that their bots do it better. So that was sort of interesting. Well, that's why they divorced.
8:33That was why Darius and Samé divorced in the first place with security, safety, alignment. I don't know where that leads into, you know, bug finding per se. but it just feels like that's kind of aligned with part of the reason that Anthropik was set up in the first place. It's always been Anthropik's assertion that they have the most aligned model. Alignment meaning aligned with what the users want, aligned with the human values as opposed to just doing something else. There's just a quick aside on the models. I mean, we've had some really cool stuff coming out of China as well. We saw the Kimike 2.5 come out last week.
9:07It's performing extremely well. It's close to Opus 4.5, so last quarter's Anthropic model, but at a fraction of the cost. We've seen the QN3 Max model come out from Alibaba. And actually, the benchmarks are saying that's not behind on reasoning at all. Actually, the argument is that's possibly ahead of the Frontier Labs models on reasoning. Again, it's an open source model. So this has just been a formidable few weeks on the AI front. How much have they borrowed, do we know, the Chinese open source? There are obviously threads showing that there is a little bit of borrowing going on from the foundationals, from the key people.
9:46What's going on there? Yeah, and of course, people will say that. I mean, what's the saying from your old industry? You know, good artists, they borrow. And what is it about great artists? Great artists steal. Yeah. And so I think the truth is everybody's learning from everybody. But you cannot overtake by copying. and what we are seeing is genuine innovation from the Chinese teams. I mean, we saw the Kimi K2.5 model having these new swarm capabilities. There is a swarm capability built into the new anthropic models. And with that, I mean the ability for the models to sort of split out and coordinate the work of many models at once.
10:22So you really get a multitude of the performance capability. I mean, there's an argument to say that the Chinese are ahead on the swarming capabilities right now. So it's not just copying. There's certainly unique innovation. And also it layers down to context then. What are you using these models for? Do you need these premium top of the range? Because is it fair to say that 4.6 isn't as exciting as 4.5? Yes. As a step change, I'd say it doesn't feel as big yet. But it's really just released less than 24 hours ago. So the community is still working out exactly where the hard points and the weak spots are, etc.
11:03One of the assertions made by Anthropic is it'll be better at doing agentic things autonomously for longer. And what does that mean? The whole issue we have with models is context rot, and it is that they drift. So I set them off to do something. And initially, when their context is clean and the instructions are clear, they're really good. but over time they'll start to lose the direction and so they can't go for weeks and weeks and weeks they're going to be going to be reined in memory has to be wiped and they have to start afresh you know almost and there's an argument here that's being made that look this model will go for longer better than previous models but we're still so fresh into this we don't really know yet we know i don't know we've had enough time to use it for for that long yeah i'm still very bullish on the open source i think that's going to be a really interesting i think it's a massive game chancellor they're doing they're doing it so well as well i was like whatever you do we'll just throw this brick into the sidelines i love it next up we've got alphabet's mega spend so alphabet is now expected to spend 180 billion in 26 on data centers and obviously all the accoutrements that's more than three times the size of vc in europe it's massive however they beat earnings you know announced this big spend happy happy stock price dropped 5 % on the news of the CapEx.
12:21Obviously, investors getting very itchy that they're spending so much. Sundar positioning this spend as the infrastructure foundation for the next decade of computing, as he would. Obviously, he's going to put out the PR. It feels like Google is now moving from a software business to an infrastructure or a utility business. CapEx is at a whole new level. This feels like a big deal. The market says that it's a big deal. Lomax, can you fill in some of the gaps? No, I think it is a big deal. Just when he thought that the CapEx couldn't kind of get any bigger, it just continues to get bigger, right?
12:53So the numbers are quite staggering, as you pointed out, nearly 200 billion plans this year, up from I think 90 last year. It just kind of continues across all of the hyperscalers. As you rightly say, Alphabet now, the cloud business is pumping, right? So I think that's a really interesting development. They beat all earnings, didn't they? So I remember all earnings were fine. It was just the spend that wigged the market out. Yeah, the future spend, exactly. But cloud is up 48 % in Q4, which is much more than, I think, AWS is 20%. Microsoft was, or Azure was 38, 39%. So the Google cloud business is growing a lot more quickly than its peers, up to 17.7 billion in Q4.
13:41So I think that is becoming a bit of a big part of the business. Now, the business is still printing money. I mean, it's basically spending all of the money that it prints on CapEx. And I think they're basically the... And some. And some. But yeah, and some. The mantra really is, you know, the risk of underinvesting is greater than the risk of overinvesting, right? So it just kind of continues. I think one of the questions, you know, we discussed yesterday, is this really a thing that Sundar's gone out with this CapEx announcement? And I think it is, as Lomax said. It's sort of an anti-bubble signal.
14:15Everybody's been talking about, is there an AI bubbler? Are we over-investing? And Sundar, who is one of the smartest operators in the world, he's basically told us, he's told Wall Street, listen, you ain't seen nothing yet. We said last year that this was going to be big. No, no, it's going to be even bigger than anybody thought. We are capacity constrained. I mean, it's the same stuff that's come out of OpenAI. We could grow faster if we had more GPUs. So they're filling their boots. They're putting in as much capacity as possible. And if you think of the size of this thing, so Google alone in 2026 is going to spend as much on CapEx as four times the entire European venture capital ecosystem.
14:56I'll just let that sink in, right? We talk about R &D and where the dollar is going. Of course, some of this is not pure R &D. Some of this is I'm just literally going to buy data centers and I'm going to buy GPUs. But if you think about what sits behind this, a lot of stuff where Google is special is they have a lot of in-house capabilities. They're very vertically integrated. A lot of this will funnel back into their own TPU dev shop. They're going to spend, they're going to buy their own hardware. That's R &D for them to develop next generation TPU capabilities. I think it's really, really exciting.
15:27I mean, we've been saying for, I think, at least a year or more that Google is in a unique position in the industry. And I actually think this is a really, really exciting announcement. I know he's going all in this way. I think it's just, it's crazy. We saw last week, right? We saw last week from the orders that ASML put out, right? And their earnings that, you know, the order books, like this isn't, the spend is not showing any signs of slowing down. Every time somebody says, look, I think we're in a bubble. And you ask them, so how much are you using AI? The answer typically is all the effing time.
15:59We're all using it all the time. Yeah, yeah, yeah. I think OpenAI now has nearly a billion weekly users. Yeah, Gemini's AI app has like 750 to 800 million. It's grown really fast. Many people have started switching from JackGPT to Gemini. Gemini is cooking, no doubt. And that's like one in eight. That's a lot of people. But it does, just go back to if you have this, you know, what do we think total capex is here, guys? Potentially a trillion, right, across all of these hyperscalers. You know, think of the free cash flow that needs to be generated to justify that, right? Like that's a lot of revenue that will drop down to gross profit to free cash flow.
16:39Like that's a lot. And, you know, look at the revenue of these organizations now, you know, 20 bill at OpenAI, soon to be 20 bill at Anthropic, Google, a bit harder to separate out. But, you know, those numbers are a lot smaller than what will be needed to, you know, be the gross revenue to pay back this capex, right? Maybe I'm thinking about things in the wrong way, but I mean - No, no, you're not. So there's no doubt that eventually this will monetize in some way because we're all using the tech all the time, right? There's going to be a way to make money. But how long will it take? And the big thing, back to our opening discussion, the big question nobody has an answer to is how quickly or if at all OpenAI will be able to make app monetization work.
17:24Today they're monetizing less than 5 % of their users. With ads, that could become 95 to 100. And it's costing them a fortune, isn't it? It's costing them a fortune to service. I mean, I don't know how much it costs per chat GPT request, but I mean, they're paying for it, not us. Let's try and unpack that because we have very specific data from Google on that. Sundar, he said that over the last year alone, the cost to service a query has come down by 76%. The model is becoming so much better. But what does it matter? If you can decrease by 76%, you're going to asymptote to a very low number. You're going to make money on it.
18:04But you are still effectively paying users at the moment to use your service. And I know that there's land grab, there's learning. Today, OpenAI is not charging 95 % of their users. Google on the Gemini side is at least that, if not a higher number. You're absolutely right. People aren't paying. That's why the ads are so important. If you can start monetizing 100%, that changes everything. It's important to OpenAI. It's not so important to Google or Alphabet, I would argue, because they have distribution. Well, customer, so where do the ad dollars come from? Ad dollars come from businesses that are trying to acquire customers.
18:41If I'm a business trying to acquire customers, I'm going to think about how much you'll want to spend to acquire those customers. Today, I'm spending most of that money with Meta and Google. If OpenAI becomes a viable alternative, where are the dollars going to come from? Well, there's an argument to say that the whole market is just going to grow. But there's another market that says that, look, if OpenAI starts to yield really good conversion on ads, that will start to siphon dollars away from Meta and Google. So I do think it does matter to Google in a kind of second order or third order derivative sense.
19:13Yeah, there are only so many eyeballs on the Internet doing things. Sure, it's growing, but there are whatever, only eight, nine billion people here. And I don't know how many on the line. I'd assume more than half. But OK, that's super interesting. And it leads very comfortably onto the SaaSpocalypse. So if you haven't seen this week, we saw a global stock market sell off. The click ragers naming it SaaSpocalypse. Nearly 300 billion wiped off global software stocks. So the fear here is that seat based SaaS licensing and its mood to a consumption model is going to make traditional SaaS businesses pretty tricky to run.
19:57So if humans are contracting in white-collar roles and agents don't need that SaaS access because they are effectively the SaaS function, then how can these SaaS businesses survive at the margins that they have? It's the broadest of brushes, and I'm going to ask you two to embellish on that. Now, Sundar and Jensen's retort is that the robot won't reinvent the hammer, but instead use tools that are available. So the AI agents will use the SaaS and not replace it, which I think is a slightly bullshit argument. I think it's a really bad analogy. I can't see, unless you're in very regulated spaces or secure tech, why you're not going to allow some version of agents to do that function for you.
20:37But Mads, can you unpack this a bit better for us? So many delightful things to dig into here. I mean, if you've got a steel man, the why is this the end argument? And we talked about it just two weeks ago, right, is SaaS dead. One of the big triggers of the SaaSpocalypse and all the kind of billions, hundreds of billions that were wiped out stocks over the last few days is the whole world got their hands on, or at least were given the opportunity to get their hands on the agentic power of Claude Code when Anthropic released Claude Cowork a few weeks ago. So back to our opening conversation. When you work with agentic tools like this, you build prompts, you build context, you build skills.
21:19And when I say skills, I don't mean the human skill. I mean you are developing skills for the tool. And these skills are what we used to call the prompt engineering back in the day. But it's a lot more than just typing in a few lines of a prompt and hoping for a good answer. It can be hundreds of lines of very detailed prompting or context you provide to the model to get specific outputs. Let's remember what is a model. It's a compression of all the world's human knowledge into one blob that you're then trying to activate. You know everything, model. Now, how can I activate that and get you to use all that knowledge to analyze a problem for me, create some content for me, do something meaningful for me?
21:58And that's where the prompts, that's where the context are helping. And so Anthropic, they released a number of prompts or a number of sort of context blobs for CloudCo work, including one in legal work. And it wasn't a massive thing. It was sort of 2 ,500 lines of prompt that was released on GitHub. You can go there and see what it is. But it turned out that was really, really good at legal work because they've kind of codified a lot of the work that you do in the legal world when you compare documents, you analyze contracts, et cetera. And the models are exceptional at that. They're language experts.
22:30And so people got really scared and they said, listen, if you can just simply prompt one of these models, an anthropic model or an open AI model, to deliver such powerful legal analysis, why do we need all these tools? And so a lot of companies got hammered on the back of this. Relics, they had the worst day since 1988, down 14%. Thomson Reuters, down 16%. LegalZoom, down 20%. They're absolutely hammered. And a lot of these are European businesses, actually. So they're not sort of classical software companies, but more like data publishers that were seen as very vulnerable because of all these new tools we have.
23:10The steel man argument is we've got the AI models. They're there. And the only thing now we need to work out is how to use them to make all these traditional software platforms redundant. And it's much, much easier than people think. That's the steel man argument for why this is the end of SaaS. I've got the other side as well, because the truth is, look, the cloud has been around for 20 years, but we're still running on-prem software. It's not gone away. And you know what? Today, we are still using mainframes, right? It's a 60-year-old technology that still processes a lot of banking transactions, a lot of travel reservations.
23:47Behind all the things we see, there's probably a mainframe somewhere tucking away. Now, IBM has gone from being the world's most valuable company to more of a utility. when it comes to mainframes. And that's probably the real threat. Maybe not so much that the companies all blow up, but that they retrade from kind of where they are today at maybe 40 times earnings down to 12 times earnings, which is more like a utility. And of course, that will lead to a lot of value compression. So that's what's got everybody scared. What I was going to say before is I'd love to be in Peter Steinberger's inbox because I'm sure OpenClaw was another reminder to the market as to the function that's now available.
24:28And I bet he's being courted by plenty of very powerful people in our spheres. Lomax, anything you'd add to this? No, I mean, in your mind. I know we're not called downside, but it's a shame that, you know, when these things happen, the drawdown is like particularly hit. This is the first time we've talked about Europe for this pod, and I think it's about the drawdown and a lot of these data publishers. Look, I think this is an overcorrection, as often happens in the market, right? Clearly, this is a long-term trend that SaaS is going to be eaten and whittled away by agentic workflows, etc. But this is an overcorrection, I think.
25:06As Mads points out, this doesn't take in the slowness to adoptive enterprise. There are still people within these organizations who are taking the more risk-averse decisions. And also, it's very, very complicated to roll out AI and agentic workflows and processes across these organizations, right? So I think while the trend is there, this is definitely an overcorrection, I'd say. But Relics, I mean, Relics, Thomson, Reuters, LegalZim, they're not exactly the worst hit. They're not exactly the leading drivers in the industry. No, but the business models are in trouble for sure. we've seen a big correction in the people that probably needed a bit of a slap is that is that fair yeah and like i know just like don't just put it this way like no general counsel in a you know fortune 500 company is going to be sacking all of their lawyers and just rather pacing them with agents overnight right there's still going to be you know a lot of lawyers internally who are still using lexus nexus and all these other products that they need and have used today so So it will be much more gradual than the markets have taken into account this week.
26:19There was a nice quip from Venmo from Zoho, which is another SaaS company. He said, an industry that spends vastly more on sales and marketing than on engineering was always vulnerable. And I think that's fair. That's true. Yeah. I think that's got to be the line, isn't it? At least the basic line. Let's talk about the EU-US great uncoupling. I might be overcooking it a bit here. A number of stories, anecdotes, thoughts this week about Europe weaning itself off US big tech. So we've got Amundi, the$2.4 trillion asset manager, cutting its exposure to the US, France cutting off Zoom. It did remind me years back when China just switched off all of the American services.
27:07I remember Zuckerberg being over in Beijing. And I remember Musk trying to court and get Tesla on the inside. And then China just switched up all the American services and allowed local services to spring up. Now, I know that we can't do that, but there is an argument for some version of rocket internet style. We know how these things work. We know what they do. We know what services we need. So what is happening on this great uncoupling front? Am I really overcooking it? Is there anything reality here? Lomax, where should we start on this one? Well, we could probably start with the news in France that they're banning two and a half million civil servants from using Zoom, Teams and WebEx, and they are forcibly migrating them to this homegrown state-backed platform called Biziou, Biziou, and that they are insisting.
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27:56Biziou, exactly. Which I think was the name of like some, a Microsoft product back in the day. It is a Microsoft product, yeah. That I think has been mothballed. So anyway. Watch for the legal proceedings, then we'll see. So this is, they've said, everyone, you've got to be using this by 2027. This was developed by DINUM, the Direction Interministerielle du Numerique, which is the French government. Very, very posh. Loving the accent, darling. Digital affairs. The reason, the breaking point, and this is something we've discussed a little bit before here around sovereignty of tech platforms. But I think the breaking point here was a recent incident involving the International Criminal Court, you know, not Donald Trump's favorite organization.
28:37when the US issued sanctions against one or two of the judges, I think, and Microsoft reportedly cut off their email access. So this was the, I guess, the straw that broke the camel's back. I mean, look, I don't, you know, I don't even know why we're taking this sort of, do we really think that a French like state developed software product is going to displace widely what the best of the US, the American like global tech can produce? I don't think so. So don't forget, this is not the first time in the context of France they tried to do this with cloud. And they had two competing cloud providers in the late noughties, 2009, 2010, which both kind of petered out.
29:17This is happening. It's not just France. In Schleswig-Holstein, in Germany, they migrated 40 ,000 state workers from Microsoft to open source alternative for their inboxes. And also the Austrian army have done this as well. so i think this is a sovereignty push by the you know governments in europe i think it's going to be a lot harder for them to do this by mandating and creating their own products i just you know unfortunately you know as a free market libertarian or certainly if you believe in the ability of the free market to create the best products for the best users etc then this is not the way to go one counter to that loan that is the technology i mean this isn't the noughties This is technology is so functionally smart, capable, ubiquitous.
30:05There is a, it's a bit of a step change. AI obviously layered on top of that, but it's a bit of a step change technically. No. So I think it makes it easier now, if you are this denim or whatever it is in France to actually create, you know, a new zoom. It makes it a lot easier now than it was 10 years ago. Right. So that is for sure. but again like i tend to be more of the the in the camp of you know you let the you know you let the market create the best products if you want to create national champions there are other ways to do that which is to create great environments for entrepreneurs who are you know able to raise money you're not weighed down by a bunch of red tape can raise growth capital can ideally win contracts with you, the French state, as an early user.
30:55So I don't know, that's the kind of model that I prefer, rather than being like, we're going to fork this piece of code internally in the French government, we're going to kind of put some, you know, our own system, our own skin on it. And this will be what everyone's got to use. I just don't think that's the way to go. I 100 % agree. We have incredible founders in Europe, and we got it like, what, why did we need to, you know, why do we have If we needed to chase some of them away, right? We found our Revolut, we chased off to the Gulf. You've got even things like Telegram. Telegram could be an alternative to WhatsApp.
31:34There's so much we could do. When it comes to technology and governments, this is actually, it feels like a missed opportunity. Linux was invented in Europe. There's no good reason why European governments don't use it more. That feels like lazy procurement. It's an incredible software today. You could use it to run operating systems. You could use it, you know, open source alternatives to the Microsoft suite. So I think there's good things in the market you could do today. And then you need to support founders instead of sort of trying to do, you know, concrete, kind of heavy-handed government built things.
32:06I think Saul Klein said this in an FT article when asked about this. It feels like we're fighting yesterday's battles. Oh, always. You know what I mean? Always. One thing it's important to remember is that the European Union exports 500 billion euros of stuff to the US every year. And obviously, we'd like to keep selling those things. That's quite important for our economy. So, yeah, it feels like we need to tread carefully and not too heavy handed. I was chatting to Gemini about this and it came up with the it feels like a kind of digital version of the Maginot line. You know, as in like, you know, it looks great in theory.
32:47It looks amazing, but, you know, it ends up being totally useless when it really needed. So I saw Pedro Sanchez getting serious about social media and misinformation, disinformation, hate speech. Well, he's now been called Dirty Sanchez by Elon Musk. Elon, Elon Wade straight in, obviously. I don't know where he finds the time to have all these have all these have all these pissing matches but I really enjoyed watching a world leader I got that same warmth when I was watching Mark Carney as when I was watching Pedro Sanchez basically saying that he's going to hold CEOs accountable and you can't hide behind these tech platforms anymore and he's making hate speech and other forms of mis and disinformation online a criminal offense now it does then and obviously Also, he's removing the ability for under-16s to use social media, under stuff that we've spoken about before.
33:43But it does then raise the challenge and the question of how are you going to prosecute? Where are the free speech lines? And how is the state going to control? And that's really, really simple. It's a very interesting one. I would say an observation is that, and actually it's quite a smart one by the European leaders, is they turn this into a public health issue rather than a free speech issue. So before it was like, we want to control what's being said on the platforms, which there's always going to be debate around that. And the Americans say, well, you're expressing free speech. And then the Europeans say, no, this is hate speech.
34:17But actually now by saying, look, this is actually, I think Macron said, this is damaging the brains of our youth. Right. Literally came out and said that in the context of social media and children. It's like, well, actually, this is this is being treated as a public health issue, takes it out of the ambit of that debate on free speech. and I think it's a very smart thing for them to do. And this is one area where I've said before that I do agree with them. Even in principle, I know it's going to be hard to implement these things. But everyone in Europe now is moving to this. It's a slippery slope to censorship?
34:51No. I'm just thinking back to COVID, how so many things couldn't be said and how much censorship there was at the time, under the guise that this is for the purpose of public health. Yeah. No, I guess I'm an optimist and I always see the good in people and I don't think that's right. But you're right. I suppose that is a risk, yeah. But I think when you're trying to, I mean, maybe we're kind of conflating two separate issues here, which is the general kind of free speech debate and in the context of under-16s, like preventing them from accessing social media, right? I don't know. I'm actually, I don't think that's a super-estope.
35:31Yeah, no, that's fair. That's fair. I think we were sort of talking about, you know, what are you allowed to say online and what should you be allowed to say? I think it's different. I mean, we also don't, we also, there are also other things we don't let children do, right? Should Donald Trump be able to call, you know, Pedro Sanchez, Dirty Sanchez? Of course he should, you know, if he wants, you know? But that's not really hate speech, but there are. Well, true, but it's offensive. It's offensive to some people, but yes. Yeah, but I mean, offense is a choice, isn't it? I mean, now you're getting into the debate, but yeah.
36:01Yeah, maybe we can't, but we'll see who they prosecute and for what. So we will soon hopefully see some of the canaries as first in the coal mine as far as legal recourse goes. So I guess we'll see. We'll see what he does. Well, and also don't say, you know, the French authorities have been raiding the offices of X this week. That's coming. There's now processes being kicked off in the UK. So the regulators are now really going against X in the context of this, you know, pornography kind of line of thread. Well, I just wonder how much they're trying to use that as a wedge. And this is what worries me is that this becomes about much more because of course, you know, X have been doing things they should not do that are inexcusable.
36:49But there are also a lot of debates It's about what should you be allowed to say. And I do feel when it comes to freedom of speech, I think that's a very important principle. But what would you do if you were the UK government, Mads? What would you do about Grok? Unpleasant image creation and unpleasant messages disseminated via Grok. What would you do? Can we not find them? I guess that's where it will end. But you need the evidence, right? So, listen, who knows what's going on as part of a criminal project? Is that all it's about? Is it just about gathering evidence for that fine? I mean, they're now merging with SpaceX.
37:25I think you can fine up to 10 % of global turnover. I mean, it's going to be a pretty meaningful number. And then watch it stuck in the courts for the next 10 years. Is everything just getting bogged down until people get bored or run out of money? Well, a lot of the fines that were made, I don't know if you remember, there were kind of all the issues with companies escaping to Ireland and not paying tax there. and the money eventually was clawed back and it was tens of billions. Was it? I always wonder what happens at the end of these fines. It always looks like it just becomes noise and then nothing.
37:57I always wonder where they settled. Listen, I think, you know, Musk, he is exhibit A in the discussion around the corruption of power because, you know, power corrupts and absolute power corrupts absolutely. And it's not so much about greed. It's more about unaccountability that corrodes clarity and claritive thinking. I think in many ways, I think he is still mission driven. I think a lot of the things he does things because he believed them as opposed to caring about whether he has another billion in his bank account. I think he stopped caring about that a long time ago. So I think the world needs mission driven entrepreneurs, but they also need people to be accountable to the law.
38:34And the question for me is, can Europe become a place that welcome the best entrepreneurs and hold them accountable? I think all this talk about criminal liability and putting people in jail and all these raids, I think it's a bit of a slippery slope. I think it's dangerous. Maybe it's the right thing to do. I don't know. But I just, I think we should be really, really sensitive to it. Kind of the heavy handed, heavy handedness of politicians jailing people because they don't like them or because they don't like what they say or because they feel they're a threat to power. I think that's very, very tricky.
39:04But fines can't be the way when you've got more money than God. I mean, almost to the point of it being a rounding error to them why would he care well i mean look if the number is big enough eventually people will care i think i think you have to hit them where hit them where the ego lives you have to you have to kind of you have to they have to they can't they can't operate in this territory there's some there's some form or version of control i can't see a fine being the answer but we'll see in fact thank you so much for the beautiful segue into muskonomics because this has to be my favorite topic this week.
39:38I've been looking at data centers in space and trying to understand more of this$1.5 trillion combined merge. And I can't make any of it make sense. The physics, the math, the payload logistics, the science in space. I cannot see how any of this story makes any kind of sense so mads set this one up because i really want to dig more into this but i mean i think i think you're you're exactly right dan i mean it's exactly tied to what we just spoke about the success breeds hubris he's one of the most impressive entrepreneurs of our generation and you know i need a hubris hubris proceeds nemesis no well there you go right icarus flying too close to the sun which which might literally be what's what's happening here But I think his track record in that sense is not in question.
40:29He's done incredible things. But it's just that that success has led to a hubris that's eroding clarity. And it seems clear that XAI just can't catch up from a commercial perspective with the anthropics and open AIs of this world. They're trying hard, though, Mads, aren't they? They're spending a billion a month to try. They're spending the money, but they don't have the revenue. And so they've got to find it somewhere. And so he is merging one company controls into another company controls, setting his own price. You know, no board, no checks. And it just it's wrong in so many ways. And I think it's a shame.
41:08It's a tough gig. No, it's being wrapped up in this kind of broader Muskian narrative of, you know, data centers in space. like all of this is interconnected you know like space ai compute data centers we're going to run i can buy the full stack when i first looked at it i thought no i can absolutely buy this kind of full stack method this thinking around that that makes complete sense but then when you look at the detail it makes no sense the irony here also is that don't forget about a year ago that there was there was basically a plan to demerge Starlink out of SpaceX to actually, you know, unbundle these organizations, right?
41:50Because don't, you know, remember that Starlink is the kind of cash cow within, you know, the launch business at SpaceX is a really a very valuable business because it does, you know, 70, 80 % of launches globally, but it, you know, it doesn't make such money. Whereas the, you know, Starlink is printing money. Let's remember where some of this has come from. So, you know, you go back a couple of years, there were huge discussions about alignment and AI is one thing, but having AI that's politically correct is another thing, right? Having Google's Gemini show that, I don't know, George Washington was black and, you know, Nazis were Native American women.
42:27It was just diversity craziness. And I think Musk having some more of a free speech bent and sort of say, listen, we've got these AI models that we have all this stuff that's built in and they're not truth-seeking. They are something else-seeking that certainly is anything but the truth. So I think the mission to try and create an AI that is maximally truth-seeking, I think is good. But I think the problem is he's gambled on trying to make it into a commercial endeavor. He's managed to raise some money. He's brought investors along with him, but he has failed to scale it because he's not focused enough on commercialization.
43:00And therefore he's doing the easy thing, which is actually taking cash from another company that he controls but doesn't hold he own. And from a corporate governance perspective, it's wrong in so many ways. Because, yeah, because basically SpaceX is making, SpaceX is finally profitable, right? It's doing like one to two billion, I think, a year, right, in profit. Obviously, XAI is burning, what, a billion a month. So it'll cover only a small bit of that, but it'll cover a bit of it. The revenue on XAI is negligible, right? It's 400 million or something. But SpaceX is one of the hottest, one of the hottest private companies on the planet.
43:34Everybody wants to buy secondaries. It looks like they're going to go public. They're going to be able to tap public markets. And of course, that's the thinking. We have a limitless ATM here. It's very interesting also that I love the data center and space narrative because, you know, the guy, the guy, Philip Johnston, who's the founder of StarCloud, which is this YC startup that has been that did its first test a couple of months ago. that's basically a seed stage company a year ago that has been a big exponent of daisy centers in space has like he's english by the way which i think is really cool even though the company's in redmond in the us but it's actually a british founder which is you know good to see but actually he's been amazing if you follow him on on socials at like beating the drum on this narrative that only really started to pick up in like q3 last year and then musk has kind of been you know beating that drum since then and now it's kind of convenient to tie the ai story into the whole space story now how does he talk about latency and payload delivery and cooling and just some of the basic physics about running data centers in space and you can not you speak you listen to elon he'll say oh you know it's okay you know the the chips they'll they'll they do bit flips there there is error correction where everything so far has been on the older chipsets where they're a little bit more resilient and you look at you look at 50 of anything that goes up into space fails and you go it's okay it only needs the last three to five years and you can recycle it but that's fine if you're looking to push a million units up into space that's like 10 launches a day and that's ignoring the fact that just the solar panels required just just the energy required look at the iss it's got like football fields size solar arrays to collect the amount of energy that's required it's like none of this makes sense from the cooling from the energy from the payload yeah but i'm going to go against you i'm going to go against you on this one or i don't know where you were going but say look if anyone is going to figure this out sorry i was just worried if anyone's going to figure that out it's musk no but it goes against and also he but no no no no If anyone's going to figure out, it'll be Musk.
45:52This is going to be profitable within three years. He's saying. Come on. Yeah, yeah, of course, of course, of course. But, you know, he does that the whole time. But, you know, Musk, like, he now has the full stack. He has, you know, because if you know, like, you know, this guy, Philip at StarCloud or any of the space companies I've invested in, right? It's very hard for us. You know, when you're building a space company, a component company or something that needs to prove, like, something that it can do something in space, you have to like book your flights, you know, eight to nine months in advance, right?
46:22And like you can do that one test flight, maybe two a year, depends on how much money you have, right? So for startups doing new things, they can maybe put something in space once a year, show that if it doesn't work, then you've lost 18 months of like runway in a startup, basically with a failed experiment, right? With Musk, he could be launching the whole time, running experiments at mass scale with, as Mads pointed out, the huge capital weight of the public markets behind it. I honestly think you'll figure this out. So that's the bear case for it, for sure. I think we are a decade away, even at Musk.
47:03Sorry, did I say bear case? I meant bull case. No, I heard you. I heard bull, don't worry. but I just can't see how any of those points can be easily. No, they're all massive points. It's decades of R &D to get this kid to work in space. Even at his rate of knots, there is no way that you can counter all of the failure, all of the weak points that are going to make data centers in space viable. It just feels like a PR story on steroids that makes no sense to me. But we'll see. Never bet against the man, right? That's what you're saying, Lomax. Never bet against the man. Well, I'm also just like, there's a need, there's a massive, like, if you could sort out the problems, like the cooling, the latency, et cetera.
47:48Latency, cooling, payload, energy. I'm not a space engineer. What the hell do I know? But it's, it just, even a base looks very, very tricky. Yeah, but imagine if actually you sorted it out. Could you imagine, like, you know, just look at the Europeans trying to build data centers now next to school playgrounds. There's no space. And then people won't let... It takes years for these things to get from you. Weak argument. Weak argument. I don't... I mean, especially... I mean, look at what Alphabet's doing. But Dan, if you follow the money, it makes sense, doesn't it? Go on. So, Musk wants to build XAI.
48:32He wants to have the world's best AI. He has, like everybody else, seen that AI is the most important technology of our lifetime. The only way for him to keep funding it is to find cash somewhere. And Tesla is struggling, right? They need to have their own things to sort out. X is the best way to get that limous ATM he needs. And so what argument does he need to create a reasonable business case that you can merge two companies without too many shareholder lawsuits? Well, there's got to be an argument. That's data centers in space. That's it. The data centers in space don't have to be real in the next three years.
49:10All he needs is the argument that they could be. Yeah. And then we're back in bubble territory. Oh, 100%. But don't forget what he did with Tesla. It was also a question of, well, just have faith, have faith, have faith. Right? Like with SpaceX. Have faith, have faith, have faith. But he delivered cars. SpaceX delivered payloads to the ISS rescuing astronauts from X and Y. So there was a proportion that worked. My thesis here is that data centers in space cannot work at core. Great PR, raise the money, sure, go public, I get it. Everyone's going to buy into Muskonomics. But there's not even a core version of reality.
49:49There's not even a car on the road to then stretch the truths around FSD. you haven't got details details details you're in you're in the wrong industry man you know going and listen i know i've got to think bigger and not be such a cynical old fart but this is just this is just one step on the crazy train too far i was having a chat with one of i probably can't disclose too much but a startup that we back that's working on propulsion and space the stuff that we talked about yesterday would blow your mind about what is possible and what is going to happen in the new space economy right and it's stuff that i came away from the call like bamboozled but also just like yeah actually this could happen and i can see why and you put enough smart people on the case and you put enough capital behind it it will happen so good let's put some money on the table what do you reckon he says three years his exact quote was no i think i don't 30 months to profitability from data centers in space.
50:55I'll take that bet every day of the week that it is not going to happen. Anyone up for that? I'd give him maybe five or six years. But, you know, it's still going to happen, Dan. All right. All right. We will see. Did you see the news this week that the Russians have been patrolling around space with two nefarious satellites? Tampering. Yeah. And it seems to be quite easy to take satellites out. And maybe that's part of the reason why he wants so many up there. Maybe it just makes it a little bit of a numbers game. But it does feel like it's relatively easy with lasers to take satellites out. So I don't know.
51:34Who knows? We are going to see space lasers after all. Reagan was right, baby. Yeah, they've been lurking. They've been lurking. Actually, one of them, I think, has just fragmented and blown up. So that's a good sign. That's one doubt. that's that's part of the course for the russian stuff last up but not but not least but a little bit of a funny not funny was the anthropic super bowl ads did you see them i thought they were kind of cool so they're basically poking fun at chat gpt for ads going back to our top of the show points and then sam a coming on x and going great funny funny but then having a bit of a dig and getting quite acidic and it's quite unusual i thought to see the ceo of a company actually front it so anthropic going i can't believe you're putting ads in ai we are never going to put ads in ai which is also an interesting stick in the sand for anthropic to take but um other gloves off is it why why are they going for each other why bother doing this anyone got any thoughts on this i think the uh the team over at anthropic thought it was too good an opportunity to pass up on they obviously have a spring in their step 2025 was a formidable year for them let's not forget They started last year at what seems like around a billion in annual recurring revenue and ended close to 10.
52:51She's never seen anything like that before. You come out of the year like that, you feel you can walk on water. And then for sure, somebody has said exactly, Dan, as you've done many times, well, aren't users just going to leave when the ads are switched on? And we know OpenAI, they've been playing around with the idea of putting ads on for a long time. They hire people out of Google's ad team. are they coming are they not and they told us recently they're coming the ads are coming and we know they have to because they gotta monetize all those users that aren't paying today and i think they just felt it was too good an opportunity to pass up on yeah and i guess actually thinking about it and listening to you mad it kind of makes sense because what they're basically saying to the market is chat gpt took the brand everybody when they talk about llms or ai immediately think about chat gpt because they were first out of the gate so they're now trying to and obviously anthropic then focused on the engineering and the coding and more of the enterprise and the back office.
53:46And now they're trying to go, look, we are back in the race. We are in the game. Here we are. It could backfire, but maybe it's an interesting brand play. Maybe just on that basis. There's no bad PR, right? As you know, I'm a huge Anthropic fanboy, but I actually, I didn't find them that funny. I thought they were a bit... They're based. Yeah, yeah, yeah, just a bit. Yeah, exactly. I thought they were hilarious. I thought that the dating one, when he's talking about advice or speaking to his mom, and then, you know, come and meet golden oldies and get in a date. I thought that was like a little bit spicy and a bit funny.
54:22I thought that was quite funny. Hey, listen, the difference between you and me. If I was the CEO, I wouldn't have greenlit it, but maybe they'll get away with it. Yeah. Anything else before we close off? Yeah, I think we should just talk about this critical minerals thing, no? Do it. So we had a reality check this week released by the European Court of Auditors. Must be a fun Christmas party there. But a reality check on the EU's Critical Raw Materials Act, which was passed in 2024, which set a goal that no more than 65 % of any strategic mineral should come from a single country by 2030. And the new report basically says the EU is set to fail that target across the board.
55:06Surprise! You know, we currently get, EU currently gets 97 % of its magnesium from China and China still controls 70 to 74 % of the six rare earths needed for permanent magnets. So, you know, way off. And then there's this amazing deposit found in Kiruna in Sweden, a rare earth find, but the report notes it takes 10 to 20 years to actually start mining in Europe due to red tape. But this is the problem, is it, Lamex? It's just an inertia problem. Rare earths aren't actually that rare from what I've read and from what I can gather. It's just the mining and the processing, which we've outsourced our dirty processing to China because they don't mind polluting their rivers and lakes.
55:52But we need to A, find it and then mine and process. But it's just that period of inertia. We don't have the infrastructure to do it. That seems to be the problem. Well, we don't have the infrastructure to process it at the moment, but all of this stuff could be built, but to permit it and find a place to do it is very, very hard. And that's 15 years, right? I mean, whichever way we cut it, that's decades away. It's a long way away. And actually, interestingly, just on this, on Rare Earths, is there was Rubio and Vance hosted a Rare Earth Summit in Washington, D.C. this week. Yeah. Which is basically the theme of the summit was, how do we, the rest of the world, apart from China, like wean ourselves off China, right?
56:31So it was like putting some investment into certain African countries. And the Europeans were really trying to cozy up to the Americans here to try and come up with a kind of pact and agreement. It's funny, all these things tie in together. We talk about the French coming up with their own sovereign tech, MADS, the 500 billion of goods that we send over there. All of this is interlinked. And there's only so much we can rattle the saber and be like, oh, you can't have access to our market for this. or we're going to shut down and use open source for our emails. Globalization works, right? Yeah, the under-16s can't use your social media platforms to look at your adverts, that kind of thing.
57:10But it is all intertwined. And then we need to go to them to be like, what are we going to do about rare arts? The great uncoupling can't uncouple. And there will be another shuffle for all these minerals and components that we need to build these bloody chips and this infrastructure and data centers and energy and sovereign control because we all need the the rare basic components to do all this stuff oh my goodness that's it i'm moving to mars are you know max you've got to do your deal of the week because this is all your baby drumroll finally ladies and gentlemen i am now talking my own book and this is my deal so i met a young portuguese founder in his 20s called pedro in early 2024, he was working on a problem that I knew about, which is clinical trials are incredibly expensive, right?
58:02So the cost of drugs, the cost to get a drug to market is anything from two to three billion now. And a large part of that component is because clinical trials are getting more expensive and more difficult to run. So he is basically taking LLMs to try and solve that problem and make clinical trial planning much more streamlined, quicker, and save a bunch of costs from avoiding protocol amendments during the trial, right? And he's had unbelievable traction. So we committed early in 24, seed round was done, you know, mid late 24, big rollout last year, commercially sales grew very fast and raised the second biggest series A in Iberian history, 52 and a half million dollar series A, which is a pretty big series A for Europe.
58:46I think it's top, top five by quantum for last year in the european series days so that company is on a tear and well done pedro and he's doing something very important which is cool and and i mean what a year and a half in so nice yeah yeah no i mean this is actually this yeah it's you know it yeah exactly it's very exciting well done pedro well done lomax i wanted to just raise five european unicorns so aikido cast the eye harmerton sapiens and pre-plug which is ukrainian edtech so i just wanted to highlight in january alone we saw five european unicorns and not not deal of the week but i just wanted to give them a shout out i think no that's good and aikido aikido is a hell of a company because aikido is basically you know they've gone from standing start to series b in a couple of years just rolling out in the us now i think it's just it's just important to uh important to highlight that.
59:41Mads, anything on your mind before we close off? Yeah, we often talk about how there is too little capital at the growth stages in Europe to fund some of these big, you know, successes when they scale up. And so great news that there's a new one billion euro fund that's launched here in Europe. It's not Karamba, it's Kambara. And so the idea is to deploy kind of checks exactly at the size you're talking about, Lomax, kind of the 30, 40, 50 million euros into great companies. It's a team coming out of firms like Mundi, Atomico, and Promus, and other kind of European institutions that have come together to create this new business.
1:00:21And they have announced they've already raised€750 million, so congratulations to them. Aye, caramba, not caramba. Well done to you. Boys and girls, a pleasure in a gift. We'll catch you next week. See you in the next one. Bye.
1:00:44Upside!
From the publisher
Welcome back to another episode of Upside where Dan Bowyer, Mads Jensen of SuperSeed and Lomax Ward of Outsized Ventures go behind the headlines shaping European tech, capital, and power.
This week is a high-velocity sprint through the AI model wars, hyperscaler capex, and the growing sense that SaaS is about to be structurally repriced by agents. Anthropic and OpenAI go toe-to-toe with flagship model releases just 20 minutes apart, while China quietly ships open models that are starting to look dangerously close to frontier performance at a fraction of the cost.
The panel also digs into the so-called SaaSpocalypse, the early signs of a European “uncoupling” from US big tech, and why Spain’s crackdown on social media is being reframed as a public health issue rather than a free speech fight.
And then there’s Muskanomics: the $1.5T SpaceX/xAI logic, the data-centers-in-space narrative, and whether any of it survives contact with physics.
What’s covered:
02:10 AI model arms race: Anthropic Opus 4.6 vs OpenAI GPT 5.3 (20 minutes apart)
10:45 China’s open-source push: Kimi K 2.5, Qwen3 Max, and swarm capabilities
14:05 Alphabet’s $180B capex signal and Wall Street’s “infraspend” panic
22:35 SaaSpocalypse: $300B wiped off software and the seat-based SaaS collapse narrative
30:05 US–EU uncoupling: France bans Zoom/Teams, Germany moves off Microsoft, sovereignty vibes
36:35 Spain’s social crackdown: CEO liability, under-16 bans, and the censorship slippery slope
43:30 Muskanomics: xAI + SpaceX, “data centers in space,” and why it feels like PR on steroids
56:30 Anthropic Super Bowl ads vs OpenAI: brand war and the ad-monetization fault line
59:25 Critical minerals: EU set to miss 2030 targets and China’s grip on rare earths
1:02:20 Deal of the week + Europe unicorn shout-outs + the new €1B growth fund




