SpaceX IPO, Iran War Fallout, Quantum Bitcoin Hack, The Space Opportunity

Private AI company associated with Grok and X; tracked as a standalone off-market company mark even when reported as combined with SpaceX.

SpaceX IPO, Iran War Fallout, Quantum Bitcoin Hack, The Space Opportunity SpaceX IPO, Iran War Fallout, Quantum Bitcoin Hack, The Space Opportunity (0:00) Bestie intros! (0:12) SpaceX IPO, the economic opportunity of space: a new industrial frontier (21:00) 2026 IPO explosion, OpenAI down round? (36:33) Iran War costs, fertilizer crisis, downstream impacts (49:58) Trump's Iran messaging problems, Bondi out, why the US is in Iran (1:04:18) Quantum Bitcoin hack possibilities, how crypto should react Retardmaxxing: https://www.youtube.com/@ElishaLong Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.bloomberg.com/news/articles/2026-04-01/spacex-is-said-to-file-confidentially-for-ipo-ahead-of-ai-rivals https://companiesmarketcap.com https://www.youtube.com/watch?v=Tf_UjBMIzNo https://courts.delaware.gov/supreme/oralarguments/download.aspx?id=5549 https://polymarket.com/event/ipos-before-2027 https://www.bloomberg.com/news/articles/2026-04-01/openai-demand-sinks-on-secondary-market-as-anthropic-runs-hot https://x.com/DrewPavlou/status/2038967293343096896 https://polymarket.com/event/us-x-iran-ceasefire-by https://polymarket.com/event/us-forces-enter-iran-by https://tradingeconomics.com/commodity/urea https://www.natesilver.net/p/trump-approval-ratings-nate-silver-bulletin https://polymarket.com/event/march-inflation-us-annual-higher-brackets https://www.instagram.com/reels/DWhj1SrjvTU https://www.youtube.com/@ElishaLong #allin #tech #news All right, everybody, welcome back to the number one podcast in the world, The All In Podcast. David Sacks couldn't make it this week, but we have the trio. David Friedberg is here, your Sultan of Science, Chamath Palihapitiya, SpaceX filed confidentially to go public on April 1st, targeting a $1.75 trillion, with a T, valuation. When SpaceX goes public, if it's at that $1.75 trillion valuation, so we're just a trillion-dollar valuation for an IPO, they would be the eighth largest company in the world, right behind TSMC and Saudi Aramco. They're both worth $1.7 trillion at the taping of this podcast. Tesla is number 10 with $1.37 trillion valuation. Hey, if you were to combine those two, as many people are speculating, will happen at some point, and you can buy the stock ticker ELON, that would be a $3.1 trillion company, and that would make them the fourth largest company ahead of Microsoft. They're aiming to raise Chamath $75 billion, which would be the, by far, the biggest raise ever in an IPO. Expected to go out in June. I think they were trying to hit the 4/20 date because that would have been even more hilarious, but they're not going to be able to do that. SpaceX recently acquired X.ai for $250 billion. That includes X and Twitter and the XAI large language model AI company. Starlink, generating between 50 and 80% of SpaceX's revenue. We'll have all those details shortly. And it'll be close to $20 billion a year, according to reports. Launch of rockets is the other 40% of the business, $5 billion in 2024, according to reports. Total revenue 2025, $15 to $16 billion with $8 billion in profit, according to Reuters. So let's stop there. And we're going to talk about all the other IPOs that could be coming. Chamath, I think people really want to know, and you may have mentioned this on an earlier episode, what are the chances that Tesla, after if this IPO goes well, that Tesla and SpaceX could wind up being the same company? We saw they're collaborating on a fab. 100% is what you're putting it on. Okay. Okay, sorry, let me, let me be clear. 99.999%. Okay. What will that mean when, if those two companies, or when those two companies merge, one of the great things that happened in my career was there was a point where, you know how like you grind at a level and then, you know, you just get exposed to things at a different level and then you grind for years and you get exposed to things at yet another level. In one of those steps, I was very fortunate to be introduced by Thomas LaFont, actually, to the head of Wachtell Lipton. The law firm. Law firm. And his name is Ed Hurley. And he said, this is the most important, well-known, well-run, powerful law firm in America. Then I looked at the transactions and they're just in the middle of everything. And now, you know, my lawyer, Raj Narayan, who does everything for me, one of the senior partners at Wachtell, I can attest, are incredible. And they said to me in the middle of all of this stuff when I was doing a bunch of deals, they said, Chamath, just get ready to pay a tax. And I said, what does that mean? They said, the way that the American capital markets are set up is both that you can be incredibly creative and do incredible things, but, and we talked about this a little bit last week, there's a bunch of tort that allows folks to hang around the hoop and get paid no matter what. You see this in all IPOs. Shareholder lawsuits abound. And they try to create a class out of it. And the reason they do that is that there's D&O insurance that then will pay out some number of millions of dollars, the attorneys take 40 or 50%, and then these plaintiffs get a few bucks. You saw how egregious this tort manipulation was when this guy with 10 shares sued Elon's comp package at Tesla and won. And what was that really? That was the trial lawyers trying to get paid hundreds of millions of dollars by exploiting a scene. It was a shake down. It was a shake down. Why am I bringing this up? If you take the Raj and Ed example of this, this SpaceX IPO is going to set up a couple of things. The first is there is just going to be the natural noise in the market. And Elon will have to sort through all of the little ticky tacky things. But the most important positive thing that will happen from the IPO is a validated external mark-to-market valuation of SpaceX. And the market every day in real time gives you a valid mark-to-market assessment of the value of Tesla. And this allows you to put these two things together to minimize these losses. And I think that that's what Elon really needs. It'll make his life tremendously simpler from a governance perspective. It'll make the companies and this quibbling about his time a non-issue because again, nobody talks about Zuck or Satya or Sundar or Jensen allocating time across various projects inside of Meta or Google or Microsoft or Nvidia. Nor should they really make this claim from Elon because as you're seeing, there's actually an enor

Podcast-style discussion covering: (1) US policy/regulatory pressure around open-source AI vs closed models (Anthropic/OpenAI) and China model progress (Kimi K3); (2) a reported ~$1.5B Anthropic piracy/IP settlement (private company) and broader IP enforcement risk; (3) public-market reaction to surging AI capex with Google and Tesla cited as “tanking”; (4) NYC political rhetoric around evictions/property rights (potentially negative for exposed landlords/NYC CRE sentiment). Actionability is moderate: investable angles are mainly via hyperscalers/AI supply chain and China internet/AI proxies; many primary entities discussed (Anthropic/OpenAI) are private.

Mark Cuban compares the current AI market to the dot-com bubble, arguing that many AI-linked companies with weak fundamentals could get "wiped out" while real, revenue-producing platforms and infrastructure winners persist. He highlights enterprise AI adoption as harder-than-expected (integration, workflows, ROI, data/privacy), discusses a shift to AI-first work, and mentions healthcare/biometrics as a longer-horizon opportunity area. Actionability is moderate because the content is thesis-level and not tied to specific catalysts, but it maps cleanly to a "quality AI vs. hype AI" positioning framework.

Only a headline is provided (no article detail), so actionability is limited. The title suggests: (1) AI industry self-regulation vs impending formal regulation, (2) Stripe potentially moving deeper into PayPal’s core markets (payments/merchant services), (3) Chinese AI capability closing the gap, and (4) New York policy restricting datacenter development/operations.

Messy transcript-style discussion: former Intel CEO critiques Intel’s past capital allocation (stock buybacks vs buying EUV tools), highlights how Nvidia/TSMC out-executed Intel (GPU/SIMT compute shift; foundry scale/process progress; ecosystem standardization + EDA tooling). Second thread references “vibe coding”/AI-assisted software creation and the possibility of new software entrants building on hyperscaler infrastructure (AWS mentioned).

The provided source contains only a title and no substantive body content, so it offers limited actionable signals. The title implies AI disruption in (1) voice/voice agents, (2) legal services workflows, and (3) pricing pressure on time-based professional services ("end of the billable hour").

Only a headline is provided (no article body/details), so actionability is very limited. The title suggests: (1) renewed IPO/mega-IPO optimism, (2) very bullish private AI valuation talk (Anthropic), (3) Meta/Zuck initiating or escalating a “price war” (likely in ads, AI services, or consumer subscriptions), (4) potential China policy shift affecting open-source software, and (5) “Trump accounts” (likely Trump Media / platform monetization or regulatory/account reinstatement news).

Transcript-style discussion about open-source AI models, multimodal generative tooling, and rising demand for AI compute/data centers (explicitly mentioning AWS wanting more data centers). Also references frontier-model claims ("AGI is here"), regulatory/compliance contexts (HIPAA/FINRA), and partnerships/geography (UAE/G42). Actionable market signal is mainly the continued capex cycle for AI compute and data-center infrastructure; the rest is largely narrative and non-specific.

The provided source contains only a headline (repeated) with no supporting details, numbers, timing, or confirmed facts. Actionability is therefore very low; any trade mapping is speculative and should be treated as a watchlist prompt rather than a signal.