# data center revenue — X 热门讨论 (2026-10-08 22:48 UTC)

## @ShakePryzby1 (Shake Pryzby) · 10-08 20:48 · ♥107 ↻11 💬16 God dammit Clement 🫠

Druck shouted this book out speaking with hedge funds last month. I rushed to read it, as I see my friend did here as well. Great read, very unfortunate consistencies between now and then. Hope it's all wrong, but what can we do other than read the tea leaves?

The whole book looks at the relationship as if Data Centers now are the railroads back then. Railroads in the 1860s are the AI infrastructure of today, transformative technologies that require enormous amounts of capital upfront.

Their finance mechanism of choice?

MASSIVE BOND ISSUANCES to fund construction.

When investors began questioning whether railroads could generate enough revenue to service their debts, financing dried up.

The big red flag in similarities is the building of infrastructure ahead of demand as they bet the building of said infrastructure would create demand. They were developing railroads in sparsely populated areas thinking they'd attract settlers. Sometimes it worked like a charm, other times companies went bankrupt before the anticipated economic activity came through.

The analog works as such:

-Hyperscaler builds a massive data center assuming AI inference demand will explode. -It purchases GPUs based on the expected utility several years in the future. -Signs long term power contracts and infrastructure agreements. -Financial projections assume customers will pay enough to justify the enormous investment.

WHAT BROUGHT DOWN THE WORLD ECONOMY BACK THEN: the anticipated economic activity failed to justify the lofty financial projections and the enormous debt accumulated to fund them.

The 1873 crisis wasn't necessarily about railroad stocks collapsing due to lack of growth, it was more about the railroad bond market losing its ability to finance the continued expansion. The railroad businesses were booming! They were simply not growing enough compared to the aggressively lofty expectations.

The aspect most striking to me was the net positive that railroads did for society and still lead to the market influx. The railroad boom was absolutely correct in its future utility. They DID transform commerce as they connected national economies, reduced shipping costs and overall helped create modern capitalism. Just like AI WILL cure diseases and all these other amazing things. So the technology was ABSOLUTELY evolutionary, but the capital allocation is what lead to the market top.

THE BIG DIFFERENCE THOUGH, between now and then, were the financiers. Hyperscalers got a lot of cash and generate a whole lot more whereas the financing in the bond offerings simply dried up back then when investors began to doubt the growth projections. Jay Cooke got cooked back then but we know guys like Zuck will spend forever. They are all in and will keep spending to keep this trade in motion.

I have no idea what happens next, I am not calling anything. I have been on margin long for weeks until today.

The one thing i DO KNOW, is that memory looks like absolute shit after today.

$DRAM here was looking like a base for weeks and with today's failure is resembling much more of a stage 3 top.

Again, I am not saying this is set to happen. I am simply explaining @Clement_Ang17 's post. If this post triggers you in any sort of way ... BLAME CLEMENT! > 引用 @Clement_Ang17: Well, anybody heard of the railroad panic of 1873? 😆 https://t.co/FwC0Rgz2Q7 https://x.com/ShakePryzby1/status/2108298466267136101

## @ces921 (Craig Shapiro) · 10-08 17:55 · ♥36 ↻3 💬7 For weeks the AI worry was financing: Oracle, CoreWeave, data center debt. Nobody was pricing demand.

Today we are hearing word that OpenAI cut revenue guidance.

AI credit wider, NQ lagging small caps, correlation rising, long bonds rallying.

The assumption nobody questioned just cracked. Hmmm https://x.com/ces921/status/2108254903155966369

## @gabrielkuettel (gabe) · 10-08 17:58 · ♥32 ↻4 💬4 Okay, so... Algorand needs to really reconsider how it fits into agentic commerce.

x402 is a request-response flow. At 2.9s per round, a tool loop of a few dozen calls picks up a minute in pure block latency before you count signing, facilitator round trips, etc.

It's competing with other blockchains that are much faster and have deterministic finality also. Arc’s own docs put finality in under a second -- they've benchmarked like ~350ms.

"Seconds" is not machine speed. It might be fine for AI-assisted human checkout.

But the bigger problem is that Algorand is outside of the Arc/CCTP ecosystem. So an agent that gets paid in USDCa doesn't have access to the same burn-and-mint path every other major USDC chain uses. It's walled off.

Saying this in the spirit of "tough love" because Algorand has a limited runway, limited amount of time to find revenue, and I haven't seen good answers to these problems, yet it's a major component of the strategy and spend.

That doesn't mean Algorand is precluded from the agentic ecosystem entirely -- maybe it finds value as a layer above or below that takes advantage of its public, decentralized validators (vs Arc's data center chain), or PQ accounts, or atomic settlement, or something else. https://x.com/gabrielkuettel/status/2108255826070880524