To be honest, the productivity boost brought by AI is a certainty. Just like the internet wave back in the day, it is now rapidly penetrating every industry.
I’ve used quite a few AI tools myself and truly believe we need to clarify our stance. Discussing the benefits or risks of AI hinges on defining clear boundaries.
First and foremost, the key question: Are the macroeconomic benefits simply that every economic sector can reap the rewards? Clearly not. An AI bubble will definitely form; the question is, how far will the bubble inflate—will it be in certain industries? Or specific companies? How and when will these bubbles burst? No one can really say for sure.
Looking at recent hot topics, there are disagreements from the very definition of AGI, not to mention the recent buzz around embodied intelligence. After CES, this field has become even more crowded, but the core challenge remains—what are the truly practical application scenarios? How large is the market potential? That determines everything. For those working on embodied intelligence, what is their core competitive advantage? What is their financial situation? Is their valuation reasonable? These are all uncertain.
Finally, regarding leading companies in the model domain, how many can truly last until the end? Looking back at the last internet wave, only a handful of companies survived. Will this AI wave really follow the same script?
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TopBuyerBottomSeller
· 01-14 15:42
Wake up, when the bubble bursts, everyone will have to pay the price.
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VitaliksTwin
· 01-13 22:00
That's so right. The core issue is indeed the bubble, not AI itself.
Probably only a few companies will survive, and the rest will be reshuffled.
I also don't quite understand the area of embodied intelligence; it feels like just hype.
What lessons have been truly learned from the internet bubble era?
Macroeconomic positives ≠ everyone profits; this point has been overlooked by too many people.
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MEVHunterX
· 01-13 21:52
The bubble thing is really hard to say, but judging by the way those companies with embodied intelligence are burning through money, it seems like the big wave of淘沙 will have to wait a few more years.
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GasFeeWhisperer
· 01-13 21:49
Well said, that's exactly the point. Not many of the internet wave from back then are still around, and this wave of AI probably won't be much different.
Where will the bubble burst? Nobody knows.
Embodied intelligence is just a joke; where are the application scenarios? I really can't see any.
Top companies' financial reports easily reveal the truth.
The track is crowded, and there are plenty of casualties.
Valuations will eventually correct themselves.
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tx_pending_forever
· 01-13 21:49
No one can predict when the bubble will burst, but those who go all in should be mentally prepared...
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OldLeekMaster
· 01-13 21:47
Bro, this analysis is really on point. When the bubble will burst is truly unpredictable.
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gas_guzzler
· 01-13 21:43
The bigger the bubble, the worse the crash. That wave of the internet is a lesson from the past.
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MidnightTrader
· 01-13 21:37
You're absolutely right. It's the era of financing through stories. When the bubble bursts, you'll see who's swimming naked.
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StableNomad
· 01-13 21:36
lol not financial advice but... statistically speaking the embodied AI hype literally gives me UST collapse flashbacks. nobody's asking the real questions about unit economics tbh
To be honest, the productivity boost brought by AI is a certainty. Just like the internet wave back in the day, it is now rapidly penetrating every industry.
I’ve used quite a few AI tools myself and truly believe we need to clarify our stance. Discussing the benefits or risks of AI hinges on defining clear boundaries.
First and foremost, the key question: Are the macroeconomic benefits simply that every economic sector can reap the rewards? Clearly not. An AI bubble will definitely form; the question is, how far will the bubble inflate—will it be in certain industries? Or specific companies? How and when will these bubbles burst? No one can really say for sure.
Looking at recent hot topics, there are disagreements from the very definition of AGI, not to mention the recent buzz around embodied intelligence. After CES, this field has become even more crowded, but the core challenge remains—what are the truly practical application scenarios? How large is the market potential? That determines everything. For those working on embodied intelligence, what is their core competitive advantage? What is their financial situation? Is their valuation reasonable? These are all uncertain.
Finally, regarding leading companies in the model domain, how many can truly last until the end? Looking back at the last internet wave, only a handful of companies survived. Will this AI wave really follow the same script?