In this YouTube short, speakers discuss the unprecedented scale of wealth being generated by AI leaders, citing the emergence of many new millionaires from companies like OpenAI, Anthropic, and NVIDIA. They estimate that AI could create up to 100,000 "deca‑millionaires" (individuals with $10 million+ net worth). The conversation then shifts to the potential impact of this concentrated wealth on the Bay Area housing market, questioning whether ordinary residents will still be able to afford homes as corporate profits and market caps soar while consumer incomes lag behind. The speakers highlight a growing disconnect between rising corporate valuations driven by AI‑boosted productivity and stagnant or modest consumer wage growth, prompting concerns about broader economic inequality and housing affordability.
Have we ever seen liquidity at this scale? When we look at the number of millionaires minted from OpenAI, soon to be Anthropic, when we look at the NVIDIA millionaires that exist already, is anyone going to be able to buy a house in the Valley?
There's a lot of things that seem silly in AI 12 or 18 months ago, but if NVIDIA has 20,000 deca-millionaires, right? Now I'm going to do a wag, but based on the math, I'm going to say we're going to produce 100,000 deca-millionaires out of these AI leaders. Okay, the worry is— I don't want to spend too much— the worry is that we do see this concentration of wealth at the same time as everyone else gets leaner.
So you have AI boosting productivity and corporate profits and market caps of companies, inflating headline economic figures, but actually consumer income doesn't scale with market cap and enterprise value. How do we analyze and assess that?
I'm gonna call bullshit here. In other words, is AI going to replace coding? Is AI going to replace DoorDash? Is AI going to replace Amex, right? In other words, and the wonderful thing is I think that's something this group is well equipped to do because we're all investing in venture companies who are the tippy point of the spear in terms of adoption. I'm allowed to have an informed opinion on question 1, which is micro level. Are these changes gonna happen? Then the second big picture question, lumping all the other things into the others is what are the macro consequences consequences of this, right? In other words, if you assume that there's a high level of AI adoption over a short period of time, then everyone— and that's, as I say, what we can talk about because we understand— then everyone gets to pontificate on global macro, which is what you were starting to do there, right? But I think jumping straight to the, oh my God, the GDP is ending with no thought process to— I even believe that basically he was hypothesizing a 2-year adoption cycle of almost everything such that everything from ServiceNow to DoorDash, to Amex gets rolled over in 2 years. And I think if you believe that's happening, going to happen very quickly, then you do graduate to the global macro question. And I still think he's wrong about that. But if you don't think the adoption is going to be that quick, you can literally ignore the rest of the piece.
