https://www.stlouisfed.org/publications/regional-economist/a...
https://www.theguardian.com/business/1999/dec/20/nasdaq.efin...
This time, "AI" has been hyped up more than tech in 1999 by the media. The media has just reversed course in 2025 because they found out that most people hate "AI". in 2023-2024 it was mainly hype.
Yet, the markets continued rapidly upward for another FOUR years. Shorting the high-flying stocks with negligible income in 1997 or 1998 would have been completely sensible. And it would have wiped you out, as you would have been years too early.
It just proves the adage: "The markets can remain irrational longer than you can remain solvent."
Today, the levels of (over-)investment compared to investment are even more extreme. But when is the time to call it?
"The notion that Amazon.com will be allowed to corner the market in on-line book sales is wholly implausible."
What does Ja Rule think about bubbles? Ask him why markets can remain irrational longer than you can remain solvent.
If you could simply "value the market" in some analytical way, then any simple neural network would (universally) approximate it. Instead you see the vast vast majority of machine learning quant funds fail. Here are the specific details as to why: https://www.youtube.com/watch?v=BRUlSm4gdQ4
That's called "anecodtatal gambling success" and a lot of smart people suffer from this fallacy.
Applying formal causal inference procedures such as propensity score matching, doubly robust estimators, causal forests, and targeted maximum likelihood estimation (TMLE) to test whether standard fundamental variables like P/E, P/B, EV/EBITDA, ROE, ROA, gross profitability, or free cash flow yield causally influence forward equity returns consistently shows that these metrics exhibit negligible average treatment effects once confounders and colliders are controlled for.
In other words, across modern causal inference frameworks, the estimated causal impact of common fundamental signals on subsequent returns is statistically indistinguishable from zero, which indicates that most traditional fundamentals have no meaningful predictive or causal power for future price performance. There's no alternative opinion to be had. You're just wrong. You can continue gambling if you like, but you're not doing any kind of predictive analysis.
He does this because he understands how money works and how Bitcoin works.
It’s reasonably obvious that there are some very high expectations baked in to certain equity valuations.
Leave it to the reader to take a view on whether it makes sense.
This isn't rocket science - do anybody sane believe that OpenAI will spend what, 1.5 Trillion $ they project ? Quite a big chunck of Oracle, Nvidia and others projections are based on this 1.5 Trillion $. They are loosing money and their revenue is 1% of this figure.
And is it really overvalued if AGI is achieved? Sounds like risk:reward profile is already priced in the gamble, and the valuation is appropriate....But I guess if you take it to the logical conclusion... if AGI is achieved, everyone will be out of a job, so scarcity-based economics, based on scarce labor input, itself will have to be redone. Wild speculation there.
What ? Who's profitable except NVidia who is selling shovels (increasingly to itself) ?
Edit. Profitable on AI, if by profitable you mean from other sources then yes.