Jay Cuthrell reviews market and AI news: SpaceX's IPO creates an on-paper trillionaire, AI infrastructure costs are falling as open-source models proliferate, and the shift toward agentic systems is accelerating. He covers Apple Intelligence, governance concerns including Anthropic model takedowns, and regulatory moves by the FTC.
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Welcome to What the Fudge podcast for June 14th, 2026. This is the I'm back from the road edition. This week we're going to take a look at the market landscape that was obviously dominated by massive IPO interests and some of the more intensifying war motifs related to AI infrastructure, the elements of cost and ultimately control. Of course, the big thing this week was that SpaceX hit its IPO, entered the public markets, and almost $2 trillion in valuation was involved, which means that they raised just under $80 billion. So if you look at that in terms of what this means, there's, there's actually a lot more demand. So it was actually 4 times higher than I think most of the available shares that were available. So if you look at this in terms of where we see the, the story flowing after this. You have a person, Elon Musk, who is now effectively, you know, on paper, uh, the first person to be a trillionaire. Now whether or not we should have trillionaires, uh, there's always people asking the question like, should we have billionaires? The question is, uh, well, is it real? Um, so I'm not here to discuss that because I'm gonna stay under 5 minutes, but it is interesting to understand that there is going to be some controversy around that. So Everything that you see from this point forward will be in the wake of quote unquote the world's first trillionaire. Now, if we look at this in terms of what that means for trillions of dollars in valuation, the larger aggregate market, I think it's also reasonable to consider, is that money real? Because there is also a counter-narrative that the cost of AI and the commoditization of that is going to take place as well. So for example, as we build out additional infrastructure, there is a thought that while the high costs that we hear about now are capturing the news lines, what might be even more interesting over time is how cost might actually drop and the cost to access things like AI infrastructure might also drop. So if you're familiar with any of the prior open source models, open weighted models, some of those coming from other countries like China, for example, you might see a situation where someone says, well, you might have someone that cares enough to get the latest and greatest Frontier model, but there might be enough of the other AI models that were open source that are quote unquote good enough. And so it'll be interesting to see what happens as we go from the world of cutting-edge Frontier models to more of the mundane commoditized models. Of course, as that happens, there's interest in what happens as you move from going from the chat or, or, or bot interface moving to more what is described as agentic, or you, you basically set parameters for outcomes and you have a system that actually takes massive amounts of personalized context or situational task-based context and then does— executes multiple steps across many different apps, including going out to third-party services. And so this ocean of what's happening in that space means that now Apple as a company can come in and with their launch of Apple's— their AI definition, of course, is Apple Intelligence, which is a clever, you know, acronym. But that whole launch now that's kind of been told a couple of times, maybe this time is different. So if that's the case, then the Apple model would be around personalized sovereign AI and then how that would be personalized or integrated into what you're doing as a result of you investing in, say, an iPhone Apple laptops, for example, desktops. And so that gets us from the world of where originally you might have said to your Siri prompt something like, "Ask OpenAI" or "Ask ChatGPT" this to get you a better answer. There will probably be more Apple intelligence that doesn't require you to do a linguistic somersault just to get the outcome that you're looking for. But to get to agentic systems will probably need to see some drastic simplification, and that's something that Apple's been known to be great at over time. Of course, this means that as you go into more people using this in more places, the question around governance comes up, and especially the security related to that. So big news in this, uh, cadence for the week is that Anthropic, of course, back in the news again. Now they're pulling some of their models, and so we're starting to see that The US government has asked for things to be turned off. We now also know that there was a Microsoft GitHub breach that involves specifically Microsoft-owned maintained GitHub repositories. So a lot going on in terms of that. Some people are still arguing whether or not labor productivity is going to mean job creation, job loss. We also know that Google is also entering into different infrastructure deals. As well with companies like now SpaceX. And we now know that the government, like the FTC, is looking to figure out how to regulate other kinds of prediction markets. So we're at the 5-minute mark. Thank you for listening to What the Fudge, this week's edition for June 14th, 2026. Be safe and be well out there.
