#AIStocksWhatNext
$NVDAB $SKHY $TAO
For months, the same question has dominated the market:
How much higher can AI stocks go?
But I think there is a more interesting question:
What happens after the first wave of AI winners?
NVIDIA has already demonstrated the extraordinary scale of this cycle. Its latest quarterly revenue reached $96.2 billion, while Data Center revenue reached $89 billion.
Those numbers tell me that this is no longer simply a story about artificial intelligence.
It is becoming a story about infrastructure, computing power, memory, energy, data centers and capital expenditure.
And that changes the way I look at the market.
I’m watching five very different pieces of this ecosystem:
NVIDIA —> the computing engine.
SKHYNIX —> HBM memory powering AI accelerators.
TESLA —> autonomy, robotics and physical AI.
TAO —> decentralized AI infrastructure.
RENDER —> decentralized GPU computing.
These are not identical investments. They represent very different technological and economic models.
And that is precisely why I’m watching them.
My view? I’m bullish on the long term AI cycle, but selective about where that growth will be captured.
I’m not interested in chasing a sudden price explosion.
I want to know whether the technology is creating sustained demand.
Because if AI adoption continues expanding, the winners may not only be the companies developing the most visible AI products.
The next phase could belong to the companies and networks supplying the computing, memory, infrastructure and physical systems required to make that AI work at scale.
But there is a risk we cannot ignore.
AI valuations have risen dramatically, and the market is already asking whether expectations have moved too far ahead of fundamentals.
At the same time, governments are treating AI as a strategic technology, while some industry leaders are calling for greater caution around its development.
So we have two forces moving simultaneously:
Accelerating investment — and increasing scrutiny.
That makes the next phase particularly important.
My approach is simple:
I don't want to predict the next AI winner. I want to follow the evidence.
Revenue, Demand, Adoption, Infrastructure.
And ultimately, whether the market continues rewarding technological progress with sustainable economic value.
Maybe the biggest opportunity isn't the AI stock that has already made the headlines.
Maybe it's the next layer of the AI economy that the market hasn't fully priced yet.
That is the question I’m watching.
What comes next?
