Concrete supply crisis analysis defies the 'AI bubble' narrative with hard data
Larry Fink just buried the AI bubble. $11 trillion backs that call. Larry Fink named four shortages: 1- Power 2- Compute 3- Chips 4- Memory He was describing a structural supply crisis that I… | Mohamed Krizi | 173 comments
Verdict
$11 trillion backs that call." Anchoring bold claims with specific figures, Mohamed Krizi offers a perspective that sidesteps the usual abstract hand-waving. The concrete mention of Microsoft's $80 billion in unfulfilled Azure orders due to power shortages isn't just an anecdote meant to impress; it's a vivid illustration of the structural supply crisis he outlines. By listing tangible shortages like power and chips, Krizi paints a more grounded picture than typical posts mired in vague predictions. His line about utility constraints—"Data center timelines are slipping 24 to 72 months because utilities cannot connect new capacity fast enough"—adds layers of practicality often missing from discussions on AI's future. Here, Krizi provides not just numbers but context that makes those numbers resonate beyond their immediate shock value.
The author makes a bold claim without any false modesty, so the humility is minimal.
Citing Larry Fink provides some authority, but the argument stands more on its own content.
'Imagine all of these factors' suggests an insight but lacks depth in analysis.
The message is consistent with the medium, focusing on a supply crisis without contradiction.
'Follow to empower your work with AI' leans towards self-promotion at the end.
'Buried the AI bubble' and 'structural supply crisis' are overused phrases lacking originality.
Cringe highlights
- $11 trillion backs that call.