Counterpoint: The article identifies real risks, but it repeatedly jumps from “AI economics are challenging” to “a systemic financial crisis is likely.” That’s a much bigger claim than the evidence supports.
First, falling token prices are treated as proof AI is becoming uneconomic. History suggests the opposite is often true. Compute, storage, bandwidth and cloud all became dramatically cheaper—and usage exploded. The key question isn’t whether prices fall; it’s whether demand grows faster than prices decline. So far, inference demand appears to be doing exactly that.
Second, it conflates frontier model developers with the entire AI ecosystem. Even if OpenAI or Anthropic struggle to earn attractive margins, it doesn’t follow that NVIDIA, TSMC, Broadcom, Micron, power suppliers, networking vendors or enterprise software companies face the same economics. Infrastructure providers and application developers have never captured value equally.
Third, the comparison to 2008 is weak. The mortgage crisis was driven by hidden leverage, opaque securities and fragile bank funding. Today’s AI capex is largely being funded by some of the world’s strongest balance sheets—Microsoft, Alphabet, Amazon and Meta. A capex slowdown is not the same thing as a banking crisis.
Finally, the piece largely ignores supply constraints. Much of today’s spending reflects shortages in HBM, advanced packaging, power and transmission—not speculative overbuilding alone.
There are legitimate questions about frontier-lab profitability and capital efficiency. But the more plausible downside is a multi-year capex normalization and industry consolidation—not a Lehman-style collapse. History shows transformative technologies often experience investment bubbles while still permanently changing the economy. Hat trick AI
It is obvious that printing presses with movable type created reproductions of written materials much more efficiently than scribes churning out handwritten copies. However, the question is whether there was a pre-existing market for printed materials from a literate public or did the availability of printed materials make literacy a more valuable skill? (If there is little available to read, why learn to read?)
The same questions could be asked of AI. Is AI meeting (or will AI meet) an existing market need more efficiently than current methodology or will the availability of AI create new markets/uses? If it's the latter, buckle up, hold on to your money, there will be some turbulence.
This is one bearish report that is very realistic! Already states like New York are pushing back against data center construction , I think people need to start regulating these companies before we have a leveraged crash in the market similar to the crash of 2008!
F*cking feeding frenzy of wealth attempting to hit the jackpot in the next tech Ponzi scheme... instead of investing in other traditional and boring enterprise that does not have the massive ROI potential.
However, I am away of much more family offices investment groups that are reaching out for small business private equity positions. I see more capital seeking to benefit from the Trump Administration moves toward a new national industrial revival.
Counterpoint: The article identifies real risks, but it repeatedly jumps from “AI economics are challenging” to “a systemic financial crisis is likely.” That’s a much bigger claim than the evidence supports.
First, falling token prices are treated as proof AI is becoming uneconomic. History suggests the opposite is often true. Compute, storage, bandwidth and cloud all became dramatically cheaper—and usage exploded. The key question isn’t whether prices fall; it’s whether demand grows faster than prices decline. So far, inference demand appears to be doing exactly that.
Second, it conflates frontier model developers with the entire AI ecosystem. Even if OpenAI or Anthropic struggle to earn attractive margins, it doesn’t follow that NVIDIA, TSMC, Broadcom, Micron, power suppliers, networking vendors or enterprise software companies face the same economics. Infrastructure providers and application developers have never captured value equally.
Third, the comparison to 2008 is weak. The mortgage crisis was driven by hidden leverage, opaque securities and fragile bank funding. Today’s AI capex is largely being funded by some of the world’s strongest balance sheets—Microsoft, Alphabet, Amazon and Meta. A capex slowdown is not the same thing as a banking crisis.
Finally, the piece largely ignores supply constraints. Much of today’s spending reflects shortages in HBM, advanced packaging, power and transmission—not speculative overbuilding alone.
There are legitimate questions about frontier-lab profitability and capital efficiency. But the more plausible downside is a multi-year capex normalization and industry consolidation—not a Lehman-style collapse. History shows transformative technologies often experience investment bubbles while still permanently changing the economy. Hat trick AI
It is obvious that printing presses with movable type created reproductions of written materials much more efficiently than scribes churning out handwritten copies. However, the question is whether there was a pre-existing market for printed materials from a literate public or did the availability of printed materials make literacy a more valuable skill? (If there is little available to read, why learn to read?)
The same questions could be asked of AI. Is AI meeting (or will AI meet) an existing market need more efficiently than current methodology or will the availability of AI create new markets/uses? If it's the latter, buckle up, hold on to your money, there will be some turbulence.
This is one bearish report that is very realistic! Already states like New York are pushing back against data center construction , I think people need to start regulating these companies before we have a leveraged crash in the market similar to the crash of 2008!
F*cking feeding frenzy of wealth attempting to hit the jackpot in the next tech Ponzi scheme... instead of investing in other traditional and boring enterprise that does not have the massive ROI potential.
However, I am away of much more family offices investment groups that are reaching out for small business private equity positions. I see more capital seeking to benefit from the Trump Administration moves toward a new national industrial revival.
Regulation in the Trump "administration"? Surely you jest. Even keeping the lettuce clean was too much regulation for them.
One thing AI does provide, is easy and plentiful fact checking. May be worth doing it on your next article!
https://chatgpt.com/s/t_6a5d04e2983881919d8762f716d2db2b