Lanceljx
11-16

Below is a concise, professional analysis in UK-SG English while addressing each point clearly.



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1. Does the Nvidia sell-down mean it is “doomed”?


No. A sharp reduction in holdings by a major fund does not imply Nvidia is fundamentally broken. Large institutions frequently rebalance, especially after extreme rallies. Nvidia has risen so much that funds often trim exposure to manage position size, portfolio risk, and concentration limits.

Unless Nvidia’s earnings show sustained deceleration in data-centre growth or major delays in new architectures, there is no evidence of a structural collapse.



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2. Do institutions have earlier information about an AI bubble?


Institutions do not receive secret earnings data, but they do have:


Faster access to macro flows and order-book trends


Better models on supply chain forecasts


Early signals from customer spending patterns (hyperscalers, cloud players)


Risk-management committees that force trimming after parabolic moves



This makes them earlier movers, not insiders. Their actions may look like they “know something”, but they are primarily managing exposure, not predicting doom.



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3. SoftBank selling Nvidia to fund OpenAI and Stargate – how to interpret this?


SoftBank’s strategy is different from a typical fund.


It is shifting from public AI chips to private AI infrastructure.


“Stargate” (OpenAI + partners) requires tens of billions of liquidity.


SoftBank is positioning itself as the infrastructure financier for the next wave of AI compute build-outs.



Selling Nvidia does not mean they think Nvidia is overvalued. It reflects a capital rotation: from owning the chip supplier to owning equity in the AI ecosystem they want to build.



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4. Should retail investors follow institutions?


Institutions trade for reasons that often do not apply to individuals:


Quarterly reporting pressure


Risk limits


Mandated diversification


Profit-taking after huge run-ups



Retail investors can afford to take longer time horizons, provided:


They understand Nvidia’s long-term thesis


They can tolerate volatility


Their portfolio is not over-concentrated



If your Nvidia position is small and you believe in its multi-year fundamentals, holding is reasonable.

If you are heavily concentrated, trimming is also reasonable.


Institutions are not always right — many funds trimmed Nvidia at US$150–200 before it tripled.

Challenge NVIDIA: Buy Dip of NVDA or AMZN?
Amazon announced a new in-house AI chip, which the company claims is more “cost-effective” than Nvidia’s. Marvell has acquired Celestial AI, betting on “next-generation optical interconnect technology.” Combined with previous developments such as Google’s TPU and Broadcom’s ASIC, multiple companies are now competing to challenge Nvidia’s chip supremacy. How do you view the growing competition against Nvidia? Are you optimistic about Amazon’s AI chip? Would you chase high of Google? Or buy the dip of Nvidia or Amazon? Amazon still lags behind among Mag 7.
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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