https://www.nakedcapitalism.com/2026/09/ai-off-balance-sheet-obligations-hit-a-subprime-like-reset-wall-in-2027-and-2028.html by Yves / naked capitalism
Critically, it is these “frontier labs” that contract for, lease and build data centers. The very little I have seen about this process has caused me concern. For instance, I read of Meta contracting for a data center for what sounded like 20 years but was 4 back-to-back five year leases. Recall that the once AAA rated General Electric has taken a big fall in investor grace. How strong will the now-mighty-seeming Meta be, particularly if AI bets come a cropper?
Groundbreaker has identified a key element of risky AI leverage, which are obligations that are not accounted for as debt at the AI sponsor. Those of you who are corporate finance literate will know this is a cardinal sin. When I was a wee young thing at Goldman, where we went through hard copies of financial statements to extract key data which we entered into green accountants’ ledger paper, one of the aims was to determine total debt to assets. One of the footnote items we would root out was operating lease payments. For instance, big companies often use leased mainframes. We would capitalize them and treat them as a long-term liability.
=> https://www.groundbrkr.com/p/the-teaser-period-why-the-ai-boom
The take-or-pay compute contract - the instrument at the center of the AI build-out - has a structural feature that almost no one prices: its payments do not begin at signing. They begin at delivery. A lab signs a multi-year capacity commitment today, but the payments do not start until the data center is energized, the capacity is accepted, and the contractual ramp schedule commences - an interval set not by finance, but by construction: siting, powering, and filling a gigawatt-scale campus takes 24-to-36 months from signature - mirroring the two-to-three-year teaser of a subprime ARM.
Going to take me a while to digest this one

The thing that bothers me the most is that while this happens in Cambridge but over at Data Colada, Ariely is just like "whoopsie" and gets to keep his job. https://datacolada.org/138 - personally I consider fabricating your entire study to be worse than sloppy quotes, but it is insane how these two people are treated so differently.
I also think it's really lazy that BBC couldn't even mention Claudine Gay (AND Martin Luther King) since it was the exact same thing. Different country I guess.