NVIDIA unveils the new generation Rubin AI platform at CES 2026, but the market's reaction is unexpectedly lukewarm—shares slightly dip to $188.11, and investor enthusiasm clearly cools down. This phenomenon warrants in-depth reflection.
From a technical perspective, Rubin AI claims to significantly boost AI model inference speeds, with theoretical performance touted as "the strongest in history." However, the market has not bought into this promise, for several obvious reasons.
First, investors are beginning to question: is this truly disruptive innovation, or just a routine iteration of existing technology? In multiple product launches by Jensen Huang's team, some promises often fall short in actual implementation, making the market more cautious. Second, the AI chip race has entered a heated phase. Not only NVIDIA is making efforts; other chip manufacturers, Microsoft Azure, and players are fiercely vying for market share, threatening NVIDIA's monopoly position. Investors are well aware: exclusive advantages no longer guarantee huge profits.
Another more pragmatic factor is that the financial report has not yet been released. The market is voting with its feet, waiting for concrete revenue and profit data. At this point, even the most dazzling new product launches seem somewhat pale.
From a risk perspective, several pitfalls must be guarded against. Rubin's inference acceleration data may only be ideal in laboratory conditions; whether it can meet expectations in commercial applications remains a big question. Additionally, competitors won't sit idly by; their exploration of hardware-software integration could lead to new breakthroughs. Another easily overlooked point is investor fatigue. The AI concept has been hyped multiple times; any slight movement in the market tends to trigger a sell-off first, with questions coming later.
Interestingly, there are rumors and gossip about the name "Rubin," but from NVIDIA's history, it is actually a tribute to the company's early programming language. However, these gossip topics clearly cannot divert market attention from solid business data.
If you hold NVIDIA stocks, now might be a good time to wait—wait for the financial report data to be released. Investors aiming to profit from the AI wave should broaden their horizons, paying attention to the movements of certain chip manufacturers and companies like Microsoft; their combined strategies might break the current pattern.
Speaking of AI dividends, the cryptocurrency market is also experiencing a similar cooling-off period. Futures trends of mainstream coins like DOT, AVAX, and ATOM are testing the market's true confidence. At this moment, investment decisions should be more cautious; data remains the best compass.
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ProxyCollector
· 2h ago
Another "the strongest in history" story, hearing it so many times really gets a bit tiring
Boss Huang's PPT always looks better than reality, Rubin's case is no exception this time
The real heartbreak is when monopolies are gone; the days of exclusive advantages are gone forever
Wait for the financial report, don't trust the press conference, data is the real gold and silver
AI chip development is now a blood-soaked track, everyone wants a bite
Data in the lab doesn't necessarily mean commercial viability; investors are well aware of this
The term "aesthetic fatigue" is very fitting; after so many rounds of AI hype, who still believes it
Instead of staring at Nvidia, it's better to see how Microsoft and others are playing; maybe the trend is about to change
Crypto is also calming down; futures of coins like DOT and AVAX can reveal true intentions
View OriginalReply0
OffchainWinner
· 01-06 13:59
It's that same "strongest in history" rhetoric again. This time, Boss Huang doesn't seem to be as popular anymore.
View OriginalReply0
quiet_lurker
· 01-06 13:59
Boss Huang is telling stories again, but this time the audience doesn't seem to be buying it as much.
Wait for the earnings report; technical indicators are just floating clouds, data is the real boss.
Rubin sounds pretty impressive, but laboratory results and real commercial use are two different things...
The monopoly break-up has actually been obvious for a while; competitors just can't hold back anymore.
Aesthetic fatigue is really a problem. After so many rounds of AI hype, who still believes it?
Instead of staring at Nvidia, it's better to look at the collaboration between Microsoft and other chip manufacturers—maybe that's the dark horse.
The crypto market is also cooling down now; DOT, AVAX, and others are testing their bottom lines. We need to wait for real data before making moves.
The stock price has fallen but not drastically, indicating the market isn't completely hopeless yet. It all depends on how the upcoming earnings reports will be presented.
Looking at history, every new product launch has a cooling-off period—that's normal.
No rush to enter the market; let the bullets fly a little longer.
View OriginalReply0
FloorPriceNightmare
· 01-06 13:59
Has Huang Laoban had a setback this time? Laboratory data and real-world commercial use are two different things. It's high time to see through this trick.
One word: wait. The financial report is the truth; all the flowery words are false.
Competitors are all fighting for market share. NVIDIA's monopoly won't last for a few more years; it's time to diversify risks.
Aesthetic fatigue is real. Who still believes in the AI concept after all this hype? Let's wait for the dip before making any moves.
Switching to Microsoft and other chip manufacturers? Nice words, but it just means NVIDIA is no longer attractive.
On the crypto side, DOT and AVAX are also testing confidence. The entire market is in a cooling-off period; being cautious is the right move.
If you don't go all in this time, wait for the financial reports to land. In the face of data, everyone has to bow and scrape.
View OriginalReply0
SelfStaking
· 01-06 13:50
Is this another "strongest in history" hype? I'm tired of Old Huang's tricks. Lab data always looks the most appealing, but once it goes live, it shrinks by 50%. This time is no exception, right?
NVIDIA unveils the new generation Rubin AI platform at CES 2026, but the market's reaction is unexpectedly lukewarm—shares slightly dip to $188.11, and investor enthusiasm clearly cools down. This phenomenon warrants in-depth reflection.
From a technical perspective, Rubin AI claims to significantly boost AI model inference speeds, with theoretical performance touted as "the strongest in history." However, the market has not bought into this promise, for several obvious reasons.
First, investors are beginning to question: is this truly disruptive innovation, or just a routine iteration of existing technology? In multiple product launches by Jensen Huang's team, some promises often fall short in actual implementation, making the market more cautious. Second, the AI chip race has entered a heated phase. Not only NVIDIA is making efforts; other chip manufacturers, Microsoft Azure, and players are fiercely vying for market share, threatening NVIDIA's monopoly position. Investors are well aware: exclusive advantages no longer guarantee huge profits.
Another more pragmatic factor is that the financial report has not yet been released. The market is voting with its feet, waiting for concrete revenue and profit data. At this point, even the most dazzling new product launches seem somewhat pale.
From a risk perspective, several pitfalls must be guarded against. Rubin's inference acceleration data may only be ideal in laboratory conditions; whether it can meet expectations in commercial applications remains a big question. Additionally, competitors won't sit idly by; their exploration of hardware-software integration could lead to new breakthroughs. Another easily overlooked point is investor fatigue. The AI concept has been hyped multiple times; any slight movement in the market tends to trigger a sell-off first, with questions coming later.
Interestingly, there are rumors and gossip about the name "Rubin," but from NVIDIA's history, it is actually a tribute to the company's early programming language. However, these gossip topics clearly cannot divert market attention from solid business data.
If you hold NVIDIA stocks, now might be a good time to wait—wait for the financial report data to be released. Investors aiming to profit from the AI wave should broaden their horizons, paying attention to the movements of certain chip manufacturers and companies like Microsoft; their combined strategies might break the current pattern.
Speaking of AI dividends, the cryptocurrency market is also experiencing a similar cooling-off period. Futures trends of mainstream coins like DOT, AVAX, and ATOM are testing the market's true confidence. At this moment, investment decisions should be more cautious; data remains the best compass.