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"For those around for the .com bust it does feel very similar." I was around for the .com boom and it feels very different. I experienced the boom as exuberan

"For those around for the .com bust it does feel very similar." I was around for the .com boom and it feels very different. I experienced the boom as exuberant without limits, the current situation is much more nuanced.

apercu 1y ago
I was around as well and while tech financing is more sophisticated and mainstream, it feels like a similar cliff in regards to valuations - what are some of the nuances you see that separate these too time periods?
- noosphr 1y ago
  My grandmother wasn't using altavista in 2000. She is using chatgpt in 2025.
Applejinx 1y ago
Maybe you were in the handbasket for the .com boom, and more of an outsider this time around?
- weinzierl 1y ago
  I am certainly much older now;-) So my question to the youngsters in the handbasket: Do you feel pure and completely untroubled for being part of something big that is certainly not going away anymore? Do you look into your future and see bright skies without the slightest hint of a cloud?
pjmlp 1y ago
I did as well, and then we had a few layoff rounds after having "positive" results when the VC money dried out, and those that stayed like myself, had several months of delayed salaries.
arevno 1y ago
I was also around, and I concur. NVDA has a P/E of 55, which is definitely elevated, but nowhere near the 230+ that CSCO had at that time. TO say nothing of SUNW. The big AI labs are definitely losing money, but they're doing it on the back of tens of (rapidly growing) billions of dollars in ARR, versus the dot com e-commerce and portal flameouts who would go public on (maybe) a million in revenue, at best. We also have large AI teams at FAANG who are being funded directly by the fat margins of these companies, whose funding is not dependent on the whims of VC, PE or public markets. These times are not really comparable.
- potatototoo99 1y ago
  Tesla's P/E is at 177.04, a lot of other AI companies are private so we can't really say.
  - kasey_junk 1y ago
    Teslas pe imbalance long predates the ai cycle so is not relevant.
AIPedant 1y ago
I don't think Mark Zuckerberg salivating about data centers bigger than Manhattan is "nuanced." People gleefully predicting a 30% increase in national energy consumption strikes me as pretty darn exuberant.

apercu 1y ago

I was around as well and while tech financing is more sophisticated and mainstream, it feels like a similar cliff in regards to valuations - what are some of the nuances you see that separate these too time periods?

noosphr 1y ago
My grandmother wasn't using altavista in 2000. She is using chatgpt in 2025.

Applejinx 1y ago

Maybe you were in the handbasket for the .com boom, and more of an outsider this time around?

weinzierl 1y ago
I am certainly much older now;-) So my question to the youngsters in the handbasket: Do you feel pure and completely untroubled for being part of something big that is certainly not going away anymore? Do you look into your future and see bright skies without the slightest hint of a cloud?

pjmlp 1y ago

I did as well, and then we had a few layoff rounds after having "positive" results when the VC money dried out, and those that stayed like myself, had several months of delayed salaries.

arevno 1y ago

I was also around, and I concur. NVDA has a P/E of 55, which is definitely elevated, but nowhere near the 230+ that CSCO had at that time. TO say nothing of SUNW. The big AI labs are definitely losing money, but they're doing it on the back of tens of (rapidly growing) billions of dollars in ARR, versus the dot com e-commerce and portal flameouts who would go public on (maybe) a million in revenue, at best. We also have large AI teams at FAANG who are being funded directly by the fat margins of these companies, whose funding is not dependent on the whims of VC, PE or public markets. These times are not really comparable.

potatototoo99 1y ago
Tesla's P/E is at 177.04, a lot of other AI companies are private so we can't really say.
- kasey_junk 1y ago
  Teslas pe imbalance long predates the ai cycle so is not relevant.

AIPedant 1y ago

I don't think Mark Zuckerberg salivating about data centers bigger than Manhattan is "nuanced." People gleefully predicting a 30% increase in national energy consumption strikes me as pretty darn exuberant.