Gil Luria, Head of Technology Research at D.A. Davidson, discusses debt-financed infrastructure buildouts in the AI sector.
Opinion
Luria: Palantir is the best company in the world right now
“Palantir is the best company in the world right now. I'm not gonna even say the best software company. They're the best company in the world right now, because what they're able to do is go into a company and ask them, what's your biggest need right now? What …”
Prediction Not checkable as stated
Luria: Falling GPU rental prices could trigger systemic AI debt defaults
“If we are here two years from now and there's hundreds of billions of dollars of debt, And the demand for AI stabilizes, or we built enough data centers to support the demand we have at that point in time, and the price for leasing pieces of AI for renting acc…”
Opinion
Luria: OpenAI's $100 Billion 2027 Revenue Projection Is Completely Disingenuous
“So for them to say, oh, we're gonna have a hundred billion dollars of revenue by 2027, which Sam Altman just did, is completely disingenuous. He has no idea. He's competing against much bigger, more powerful companies that have technology that's at least as go…”
Prediction Not checkable as stated
Luria: Three-year GPU depreciation would drastically cut Oracle and CoreWeave profits
“If you told Amazon and Microsoft, and certainly if you told companies like Oracle and CoreWeave, no, no, no, no. These chips will only generate meaningful revenue for three years. Their profitability would decline very dramatically. So again, from Microsoft, A…”
Prediction Not checkable as stated
Luria: Three-year-old AI chips will not generate sufficient revenue to run
“And that's where we think in a three year timeframe, three year old chips will just not be able to do enough computations to be worth keeping them on. So either we replace them or we use them for much less important things. That will generate much less revenue…”
Prediction Not checkable as stated
Luria: OpenAI won't make it if it builds datacenters and chips
“If they go down the current path, over committing, Deciding that they have to build their own data centers, they need their own hardware, they need their own chips, they won't make it.”