
Rate Of Return🔥📊 Yesterday, both Buffett and Duan Yongping adjusted their portfolios in sync: The AI theme is becoming "institutionalized and concentrated."
In the latest disclosed holdings from yesterday, there's a signal more important than price movements—
Big money is converging, not dispersing.
I'll talk about the commonalities first, then the divergences.
First, commonality:
Both Buffett and Duan Yongping hold Google.
This in itself isn't surprising, but in the current AI competitive landscape, it looks more like a bet on "underlying computing power + data gateway."
Google isn't just search; it's:
AI foundational models
Cloud computing
An advertising cash flow machine
It belongs to "deterministic infrastructure assets," not high-volatility themes.
Second, commonality:
Both reduced their positions in Apple, but it remains their largest holding.
This looks more like a structural rebalancing, not a trend of bearishness.
Apple is already a super cash flow asset; reducing the position is more about portfolio management than a shift in logic.
What's really worth dissecting is the divergence.
Duan Yongping significantly increased his position in $NVIDIA(NVDA.US), directly elevating it to his third-largest holding, just behind Apple and Berkshire.
This isn't a tactical trade; it's a strategic bet.
When a long-term investor who emphasizes "circle of competence" actively pulls Nvidia into his core portfolio tier, it shows he already sees it as a representative of "AI infrastructure pricing power."
Looking at the new additions:
$Coreweave(CRWV.US)
$ASML(ASML.US)(ASML.US)(ASML.US)
$Tempus AI(TEM.US)
The commonality of these three is: they are all deeply related to the AI or semiconductor chain, but at different levels—
$ASML(ASML.US)(ASML.US)(ASML.US) is the equipment leader
$Coreweave(CRWV.US) is related to computing power/cloud
$Tempus AI(TEM.US) leans towards medical AI data
This isn't random position building; it's a layout around the upstream and application ends of AI.
Looking at the institutional level.
Bridgewater and Baillie Gifford also increased their positions in $NVIDIA(NVDA.US).
When two types of institutions with vastly different styles simultaneously increase their bets on the same asset, it usually indicates:
Not emotion-driven, but trend confirmation.
They aren't betting on "how much it will rise," but on "the sustainability of AI capital expenditure."
SoftBank's moves are even more contrasting.
Q4 liquidation of $NVIDIA(NVDA.US) was interpreted by the market as a shift of funds towards OpenAI.
But at the same time, they built a position in Circle.
This represents another line of thinking—
Not betting on computing power, but betting on "AI + financial infrastructure."
Circle is a stablecoin issuer, essentially the hub for on-chain US dollar liquidity.
If the AI economy expands, payment and settlement infrastructure will also become foundational support.
So what you're seeing now isn't "who is bullish on AI," but:
Funds are beginning to stratify within the AI track.
First layer:
Deterministic computing power leader — $NVIDIA(NVDA.US)
Second layer:
Foundational platform — Google
Third layer:
Equipment chain — $ASML(ASML.US)(ASML.US)(ASML.US)
Fourth layer:
Application and derivatives — $Tempus AI(TEM.US), $Coreweave(CRWV.US)
Fifth layer:
Financial infrastructure — Circle
The real question isn't "whether to participate in AI," but:
Do you value computing power pricing power more, or the speed of application diffusion?
More crucially—
When institutions are already highly concentrated in Nvidia and Google, is this consensus a safety cushion, or a future crowded trade?
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