As of the market close, $NVIDIA(NVDA)$ market cap dropped to $2.79 trillion, with a daily loss of $265 billion. Tariffs and chip concerns accelerated Nvidia's sharp decline yesterday.
The impact of Trump's previous tariffs on Nvidia is still fresh in memory.
The US-China trade war in 2018 caused Nvidia’s stock to plunge more than 50% in October. Today, both Trump and Chinese government have announced new tariffs.
However, Phillip Capital believes that
the tariff and retaliation announcements will be less severe compared to 2018, as Nvidia has a smaller revenue exposure to China (~13% in FY25) compared to ~24% in FY19.
Singapore chip shipment investigation: What does a 20-year sentence mean?
Recently, Singapore police and customs carried out joint operations, arresting 9 people, and seizing related documents and electronic records. If convicted, they could face up to 20 years in prison, fines, or both.
There are rumors that the sentencing in Singapore will have little impact on Nvidia’s shipments, as most chips are likely being routed through Japan and South Korea.
However, the fact that only a small number of chips were reportedly seized in Singapore, combined with the arrests, seems to highlight the government's stance. The impact of tariffs on Nvidia's future ecosystem will likely be more significant than the actual impact of the shipments.
According to foreign media reports, the Trump administration is considering introducing a new round of chip control measures, which would prohibit all AI chip exports to China, including Nvidia’s H20/B20 designed specifically for the Chinese market.
Is it time to buy the dip in Nvidia, or look at other AI opportunities?
After consecutive declines, Nvidia's forward P/E has dropped to 25.29, even lower than the 2022 low.
Despite the booming demand for chips, Nvidia recently released optimizations for Deepseek R1, but investors are still concerned about 2026 and whether the gross margin will remain at 75% as margins are compressed during the Blackwell ramp. This situation is expected to ease by 2026.
Tiger analysts believe that
semiconductor and downstream applications are now on the same boat.
Since semiconductor demand depends on downstream applications, for investors betting on AI, why not directly bet on downstream applications?
After all, if there is a massive explosion in applications, the risk-reward for betting on downstream applications should be better than betting on semiconductors.
Would you invest in the SaaS ETF- $iShares Expanded Tech-Software Sector ETF(IGV)$?
Or would you buy the dip in Nvidia around $110 or $100?
Between Nvidia and Tesla, which one do you think is a better buy?
Leave your comments and also post to win tiger coins~
You are also welcome to post directly in our topic:
Comments
Tesla, on the other hand, is facing its own challenges, with the stock down 40% YTD amid slowing EV demand and increased competition. While the company remains a leader in the EV space, its near-term growth trajectory is under pressure.
Both Nvidia and Tesla are high-growth names that have delivered significant returns in the past, but macroeconomic headwinds and industry shifts make careful risk assessment essential. Whether it’s AI or EVs, long-term potential remains, but navigating near-term volatility will be crucial.
@Tiger_comments @TigerStars @TigerGPT @Daily_Discussion
While i am positive about nvidia’s longer term outlook, I normally prefer to buy ETFs as it is less volatile and requires less work on my part to study it well. China has also proven its technical capabilities with deepseek. I believe we will see chips that rival Nvidia in the near future. So, ETFs like IGV and SMH will be my preference instead of Nvidia. I will be looking at Chinese chip companies as an alternative too.
至于英伟达,股价已从高点回落,但AI趋势依旧强劲。100-110美元(拆股后)是较具吸引力的支撑位,但真正的买入时机取决于市场情绪和财报数据。若未来几个季度数据仍然强劲,短期调整可能是不错的布局机会。
在英伟达和特斯拉之间,我更倾向于英伟达。尽管特斯拉有自动驾驶和机器人业务的长期想象空间,但短期销量压力较大,且电动车市场竞争激烈。相比之下,英伟达的AI生态系统已形成护城河,算力需求仍在增长。因此,若只能二选一,我会优先考虑英伟达,尤其是在回调至合理估值区间时逐步加仓。