Unknown F
Unvalidated
attribution: low
00:29:59
aitech
Over the medium term (the next 5 years from June 2025), GPUs will remain the central compute architecture for training and running leading AI models; alternative architectures will emerge but will not displace GPUs as the primary platform.
“Look, I think to me, number one, I still think Nvidia right. I don't see the GPU kind of getting displaced. I see additional architectures kind of coming on board right. And growing the market. But, um, at the end of the day, all roads still lead to the GPU for all of these models.”
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The video AI model referred to as "Vo 3" (likely Google's Veo 3) will cause such disruption that Hollywood, as an industry in its current form, will be effectively "done" within approximately one year from this June 2025 recording (by mid-2026).
“like Vo three, which we haven't really spoke about, is going to destroy Hollywood like in the next year, like Hollywood is done, I think.”
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Explanation
AI video generation tools like Veo 3 have impacted parts of media production, but Hollywood as an industry was not 'done' within a year of this June 2025 prediction; the industry has continued operating.
In the near term (within a few years from June 2025), China will develop advanced semiconductor manufacturing processes that create a significant competitive threat to Nvidia’s current dominance in AI chips.
“So I do think that there's going to be an emergent competitive threat coming out of China to Nvidia. And just like we were knocked over by deepfake, I think we will be knocked over by some semiconductor manufacturing processes, um, coming out of China in the near term.”
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Explanation
Chinese semiconductor manufacturers have made notable progress, but Nvidia has remained the dominant AI chip supplier without a clear near-term competitive takeover from Chinese chipmakers.
Unknown F
Unvalidated
attribution: low
00:46:52
marketsai
If Apple were to acquire OpenAI for around $500 billion, Apple’s stock price would rise on the day the acquisition is announced (the market reaction would be net positive).
“But I would love to see them be a little bit more aggressive. I mean, you guys remember when Steve Jobs bought Fingerworks, right? It was this tiny acquisition they made, this little trackpad that you could use your fingers on. No one figured out why they did this and then in turn into multi-touch and scrolling. Right. So I think it's it's going to be fascinating to see what they do.”
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CoreWeave, Circle, Chime, and similar newly public high‑growth tech companies will emerge as the next generation of compounders, with many of them able to grow revenues at roughly 25% per year over the next 5–10 years.
“over the next 5 to 10 years, what are the companies that can compound and maybe 25% per year over that time frame? And I think companies like Core Weave and Circle and Chime, by the way, and others are going to kind of fill that gap.”
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Explanation
These are recently public companies as of mid-2025, and it is far too early to assess a 5-10 year, 25%-per-year compounding growth claim.
Over the coming years, essentially all major enterprise and business software systems globally will be rebuilt end‑to‑end using new AI‑enabled development toolchains, replacing the current generation of vertical SaaS and custom software.
“I think, Jason, if you look at the entirety of the software that runs the world, we're going to rebuild it soup to nuts. All of that”
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Explanation
AI-driven rebuilding of enterprise software is an ongoing, multi-year trend that has not yet reached the described end-to-end scale.
Over roughly the next decade, within the S&P 493 (S&P 500 ex‑‘Mag 7’), there will be very large performance dispersion between companies that aggressively adopt AI to rebuild their business software and workflows and those that lag, creating some of the largest relative-return opportunities for public‑equity investors in decades.
“do you think that we enter an era where there is a similar dispersion, as we're talking about seeing in the Mag seven with the S&P 493, where there are going to be probably the biggest money making opportunities for investors that we've seen in decades between those that do adopt and do rebuild using AI and those that don't or are lagging.”
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Explanation
The predicted decade-long window for large performance dispersion between AI adopters and laggards has not elapsed.
Chamath agrees that in the coming decade the S&P 493 will see very large dispersion in equity returns between AI adopters (which rebuild software and workflows with AI) and laggards, producing unusually large money‑making opportunities for stock pickers.
“100%.”
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Explanation
Same reasoning as the related prediction: too early in the predicted decade-long window to assess.
Traditional enterprise SaaS, sold as ever‑proliferating vertical tools with per‑seat or escalating license models, will structurally underperform going forward: growth rates will materially decelerate and return on equity will fail to meet prior expectations as customers increasingly reject ‘yet another tool’ in favor of AI‑driven, cheaper custom software.
“I think that the jig is totally up for software.”
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Explanation
Traditional SaaS has faced real AI-driven competitive pressure, but it has not clearly and broadly underperformed to the degree implied by 'the jig is up.'
Over the long term, pure consumption‑based pricing models for data platforms like Snowflake (where customers pay variably for large and growing data storage/compute) will prove unsustainable: many customers will migrate to lower‑cost alternatives (e.g., Postgres/Supabase and similar) and Snowflake‑style models will underperform or be forced to change.
“in this world, nobody's going to pay consumption because you're like, how do you expect me to, you know, hold and store and pay for terabytes and terabytes, potentially a day of data? It's not sustainable.”
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Explanation
Snowflake and similar consumption-priced data platforms have faced competitive pressure from lower-cost alternatives, but consumption-based pricing has not been shown to be broadly unsustainable across the industry.
In the next five years, public equity markets—starting with the Mag 7 and extending to the broader S&P 500—will exhibit unusually high dispersion between winning and losing stocks driven by AI adoption, making it an exceptionally attractive period for active stock pickers.
“for me as a stock picker, right. I think over the next five years, I couldn't think of a more interesting time where we're actually going to see dispersion between winners and losers.”
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Explanation
The predicted five-year window for high stock dispersion has not elapsed.
Many traditional ‘IT services’ and similar rolled‑up service businesses will face a lack of terminal buyers within roughly the next decade as AI agents become capable enough that much of their value proposition is automated away, depressing exit values for private‑equity roll‑ups in those sectors.
“I think the problem is that even if you take some of these kind of May industries and roll them all up, you ultimately have to find a buyer who wants to own that business after you...the fear that I have is that there is no terminal buyer for many of these companies.”
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Explanation
This is a roughly decade-long prediction about IT-services roll-up exit values that cannot yet be assessed.
Over the next 1–2 years, the US IPO market will remain open for high‑quality growth tech companies (e.g., Figma and peers), with multiple ‘fantastic’ assets successfully going public and being well‑received by investors.
“I think we're going to see fantastic assets coming out. And I think the market is saying we're open for business...So bring on the new cohort.”
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Explanation
The IPO market has remained relatively open and active for high-quality tech companies through 2025-2026, including successful listings like Figma, CoreWeave, Circle, and Chime.
In the coming years of the AI transition, a strategy of shorting the broad S&P 500 while going long a small number of emerging ‘category killer’ AI beneficiaries will be unusually attractive and likely to outperform passive S&P 500 exposure.
“I think it's the first time you could probably argue that you could go short the S&P and pick a couple of winners...you could start to see category killers emerge out of the S&P.”
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Explanation
This is a forward-looking strategy characterization rather than a clearly verifiable discrete outcome, and insufficient time has passed to assess it definitively.
By roughly five years from now, Microsoft’s global employee count will be higher than it is today (around its ~250,000 peak), despite AI‑driven productivity gains.
“I suspect Microsoft's employee base grows.”
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Explanation
The predicted five-year window has not elapsed, and recent Microsoft layoffs in 2025 complicate a clear read on the headcount trajectory so far.
Within about five years, Microsoft’s total employee headcount will be lower than its recent peak of roughly 250,000, as revenue growth slows and AI and competitive pressures reduce the need for staff.
“I think shrink.”
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Explanation
The five-year window has not elapsed; while Microsoft made notable layoffs in 2025, it is too early to confirm a sustained multi-year headcount decline.
Over the next five years, Microsoft’s overall business (revenue and scale) will be larger than today, and its total employee count will also increase, as growth in businesses like Azure more than offsets any AI‑related efficiency layoffs.
“I'm in Thomas camp, where I actually think the Microsoft business will be bigger if anything on on kind of usher alone. And that at the end of the day. Uh, we'll just need more people to support it.”
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Explanation
The five-year window for both Microsoft revenue and headcount growth has not elapsed.
Over the next several years (on the order of five years), Microsoft will achieve very strong revenue growth while keeping its total employee headcount roughly flat around ~250,000 (±10%), leading to significantly higher revenue per employee.
“I'm predicting incredible growth and the same number of employees.”
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Explanation
The predicted roughly five-year window for strong growth with flat headcount has not elapsed.
An equal‑weighted index consisting only of AWS (if separable), Microsoft Azure, and Google Cloud Platform held over the next five years would deliver such strong returns that an investor ‘wouldn’t need to own anything else’—i.e., it would outperform the broad market and most diversified portfolios.
“If I could somehow automatically create an index of all three of those businesses right over the next five years...you wouldn't need to own anything else.”
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Explanation
The predicted five-year outperformance window for a cloud-provider-only index has not elapsed.
Friedberg concurs that over the next five years, a portfolio effectively owning just the three major public‑cloud businesses (AWS, Azure, GCP) would outperform owning the rest of the market.
“100% own anything.”
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Explanation
Same reasoning as the related prediction: the five-year window has not elapsed.
Within a few weeks of this June 2025 discussion, the US House of Representatives will pass the Genius Act (the stablecoin bill), after which President Trump will sign it into law during his current term.
“And I would expect the House will act in the next few weeks on this. And then the president will have a bill he can sign.”
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Explanation
The GENIUS Act stablecoin bill passed the House in July 2025 and was signed into law by President Trump that same month, matching this prediction closely.
Following passage of the Genius Act, major US banks will launch their own US‑dollar stablecoins under the new regulatory framework.
“in the wake of this genius act, the stablecoin bill that the banks have now talked about getting into stablecoins, they're going to issue one.”
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Explanation
Following passage of the GENIUS Act, several major U.S. banks began exploring or launching their own dollar stablecoin initiatives under the new regulatory framework.
Under the Genius Act, Tether and other currently offshore USD stablecoin issuers will, within three years of the law’s enactment, relocate their stablecoin operations onshore to the United States and comply with US regulatory requirements.
“tether will under this act will have three years to come on shore. But the bottom line is they will have to operate in the United States.”
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Explanation
The three-year window for offshore stablecoin issuers like Tether to relocate onshore under the GENIUS Act has not yet elapsed as of 2026.
The referenced crypto-related bill that has passed the Senate will also pass the U.S. House of Representatives in the near term ("very quickly") following this episode's recording in June 2025.
“So hopefully this can pass the House very quickly.”
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Explanation
The stablecoin bill did pass the House relatively quickly after Senate passage, becoming law in July 2025.
Later segments of this same All-In Podcast episode (beyond this transcript chunk) will include about 90 minutes of discussion on the Israeli conflict with Iran and Ukraine, featuring guests John Mearsheimer and Jeffrey Sachs in the second, third, and fourth hours of the show.
“We got two hours of classic all in. Uh, in part two of the show, we're going to do an hour and a half on the Israeli conflict with Iran. We've got 90 minutes. Ukraine. And we've got Ukraine, Ukraine, Ukraine. Mearsheimer and Jeffrey Sachs joining us in the second and the third and fourth hour of the All In podcast.”
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Explanation
This is a meta-prediction about the structure of this same episode, which did include extended segments on the Israel-Iran conflict and Ukraine with the named guests.
The hosts (including speaker A and F) will meet in person on the upcoming Saturday night after this recording, in connection with the planned tequila launch event.
“Yes. We'll see you Saturday night. Absolutely.”
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Explanation
There is no verifiable public record of this specific in-person meetup occurring as described.