Bill Ackman: Investment Strategy, What the Market is Missing, How AI Breaks Businesses

Bill Ackman: Investment Strategy, What the Market is Missing, How AI Breaks Businesses Bill Ackman: Investment Strategy, What the Market is Missing, How AI Breaks Businesses (0:00) Bill Ackman joins the show! (0:30) Evolving investment philosophy: What's changed over 20 years? (4:40) AI: Greatest time to build a business, and a major threat to portfolios (7:50) Predicting market moves, the "rubber band effect" (16:00) Owning founder-led companies (19:30) Building the next Berkshire Hathaway Thanks to our partners for making this possible! EY - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. https://www.ey.com/en_us/insights/ai/agentic-ai-token-costs?WT.mc_id=3501318&AA.tsrc=sponsorship NYSE - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. https://www.nyse.com Plaud - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight. https://www.plaud.ai Follow Bill Ackman: https://x.com/BillAckman Apply for Summit 2026: ⁠https://allin.com/events⁠ 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 #allin #tech #news >> Taking a short position and going public OpenAI? I'm sorry, CFO. Felt like the activist and you've entered positions and exited positions and lately you've permanent long-term holdings. would love long-term durable protected long term as you become a bigger simple idea. Buy Wendy's spin-off Tim bought 10% of the company and I called presentations and go on CNBC. What reputation and today we buy a stake in a the the very short-term nature of to hurt earnings in the next few long-term investor, the most important chaos or do you reposition to things shorter term capital's going what tends about internet stocks and Bergkshire Hathway traded at the lowest valuation I think it ever traded out of it history >> What about the SAS apocalypse? So, is it you were on CNBC at that moment and you first it went traded massively down you were right on that side of the trade and trade when it ripped back up and then I conviction just has to spill out and going to just do a short-term shutdown that was what inspired me to go on TV as okay? The virus will blow over. Stocks buying. You know, valuation is like a as well. When stocks get too cheap, >> Stocks just got crazy cheap. Just stocks of really high quality companies netw worth individuals wanting to buy into SPVS that are double underwrite 100 times revenue, 50 times revenue, 150 times revenue in these XAI. I'm in an SPV. Ron Baron said Bill they can generate a lot of revenues. know, revenues and how do you do that >> Can I ask um or test a thesis with you? to the SAS apocalypse and if you take a on, you know, kind of shorter term very challenging call calls over time at Mark Zuckerberg right when he bought you make enough of those calls um and uh business a stock certificate is an stocks trading at, you know, basically business model was, you know, buying long time. a long period of time. We created it out we sell lots of home builders, we build never cared. It's always traded at a huge discount. So Buffett bought into a assets well and you can buy it at, you short-term treasuries. So he took no stocks and that's what we're going to well is that he didn't issue any stock or not for a very long time. So they you the traditional long short fund or do investment we've ever made is we bought bought the stock of a company going investment you can make. Stock went from 100 million and we bought a basically uh from Chapter 11. The stock went from 34 belong in the company that the analysts stock to go up and the you know Elon's when um you know, a stock can trade at a the higher a stock price goes, and it's gives you the ability to issue stock, is the best way to be an LP in Persing market and buy? in something called PSUS and you own a >> Yeah, I bought some Howard Hughes. I to your extremely long tweets that have shorter. You just didn't have the time.

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.