Shyon

I would not rush to abandon Nvidia just because of leadership uncertainty. Jensen Huang has been instrumental in building its AI ecosystem, but Nvidia's competitive advantage also comes from its technology, CUDA platform, customer relationships and strong market position. AMD and Broadcom are attractive alternatives as AI demand continues to expand, but I would rather diversify than switch blindly. For me, this pullback is a time to reassess valuations and fundamentals, not react emotionally. Stay patient, manage risk and let the next earnings report provide more clarity.

I would not rush to buy NVDA immediately after the after-hours news. Jensen Huang has played a major role in building Nvidia into an AI powerhouse, but I believe the long-term investment thesis goes beyond one individual. AI infrastructure demand, data-centre expansion and GPU leadership remain the key fundamentals. I would rather wait for more clarity on the board's decision and observe how the market reacts before adding to my position. For me, patience is better than reacting emotionally to headlines.

Meanwhile, MU and SNDK's strong rebounds reinforce my confidence in the longer-term semiconductor and memory cycle, although volatility is likely to remain high. I am still constructive on AI but increasingly selective about valuations, capital expenditure and actual monetisation. My strategy remains to accumulate quality names gradually during meaningful pullbacks rather than chase sudden rallies. Consistency and discipline matter more to me than catching every short-term move.

I think the market is becoming increasingly sensitive to valuation, profitability and the sustainability of AI spending. Sea’s 43% revenue growth is certainly impressive, but revenue growth alone is not enough if margins continue to come under pressure. For NVIDIA, I remain constructive on its long-term AI prospects, although I would rather see some stabilization before adding aggressively. Meanwhile, the hotter CPI and renewed Fed rate hike concerns could keep volatility elevated across markets. I prefer to stay patient, focus on fundamentals and accumulate quality companies selectively during meaningful pullbacks rather than chase short-term rebounds. Consistency over noise!

I would still prefer to hold NVDA over AMD for the long term. AMD's recent rally is encouraging, especially with Google's adoption of its processors, but I believe Nvidia still has a strong competitive advantage in AI GPUs, software and its ecosystem. Jensen Huang's investigation may create short-term uncertainty, but I would not let headlines alone change my long-term investment thesis. Fundamentals and execution matter more.

I also see the broader semiconductor rebound as an opportunity, but I am not rushing to chase the rally. With Sea, CoreWeave and SMIC results coming up, I would rather assess earnings quality, cash flow and forward guidance before making further moves. My strategy remains to accumulate quality stocks gradually on meaningful pullbacks rather than chase short-term momentum.

I think the stronger-than-expected jobs report is the bigger concern for the overall market this week. A resilient labour market could give the Fed less reason to cut rates, while persistent inflation may keep Treasury yields elevated and put pressure on growth and AI stocks. I will be watching Tuesday's CPI closely because I believe inflation and interest rate expectations will have a greater impact on market direction than a single economic report. Even though semiconductor stocks have rebounded, I am not rushing to chase the rally.

Regarding Nvidia, the board investigation and Jensen Huang headlines may create some short-term uncertainty, but I would not change my long-term AI investment thesis based on headlines alone. Nvidia remains a key player in the AI ecosystem, although leadership and governance risks should not be ignored. I am more focused on whether AI investments can translate into sustainable revenue and earnings growth. For now, I prefer to stay disciplined, keep some cash reserves and accumulate quality companies gradually during meaningful pullbacks rather than react emotionally to market volatility.

I see this as a major reset in AI market expectations rather than the end of the AI growth story. The scale of the selloff shows that investors are becoming more cautious about valuation, capital expenditure and the potential returns from massive data centre investments. I would not rush to catch the dip, especially in leveraged semiconductor ETFs like SOXL, as volatility could remain elevated. I prefer to wait for the market to stabilise, watch whether key technical support levels hold, and gradually accumulate fundamentally strong companies when better entry opportunities emerge. For Singapore banks, I will also keep an eye on their earnings and valuations rather than reacting emotionally to the red opening. AI still has long-term potential, but I believe capital preservation and patience are more important than trying to catch the bottom.

I think the market is showing an interesting divergence between short-term sentiment and long-term fundamentals. I remain positive on Big Tech, especially companies with strong cash flow, established AI ecosystems and the ability to turn AI investments into real earnings. However, the weakness in chipmakers is a reminder that AI growth is not without risks. Data centre spending, financing costs and potential delays in infrastructure expansion could affect the semiconductor supply chain. I would rather wait for prices to stabilise than rush to average down, especially on leveraged positions.

For Singapore, $DBS(D05.SG) missing forecasts is worth monitoring, but I would not judge the entire banking sector based on one quarter. Trading income can be volatile, so I will pay closer attention to net interest margins, credit quality and dividend sustainability. Overall, I am staying selective and disciplined. Market volatility can create opportunities, but I prefer to accumulate quality businesses at reasonable valuations rather than chase a short-term rally. Consistency and capital preservation remain my priorities.

I see $AMD(AMD.US) strong results as a positive sign that AI demand remains healthy, especially with revenue growth and forward guidance beating expectations. However, I would not rush to declare the semiconductor selloff over just yet. The recent rebound could still be a relief rally, with valuations, AI spending returns and broader market sentiment remaining important factors. I am staying constructive on the long-term AI story, but I prefer to accumulate quality names gradually on pullbacks rather than chase short-term momentum.

For Singapore, $UOB(U11.SG) earnings miss and the STI correction deserve attention, but I am not ready to turn bearish on the banking sector. I will be watching $DBS(D05.SG) and $OCBC Bank(O39.SG) results closely for confirmation of whether this weakness is company-specific or a broader trend. My approach remains patience and risk management. Market volatility can create opportunities, but preserving capital and maintaining a disciplined entry strategy matter more than trying to catch every rebound.

I see the $Alphabet(GOOGL.US) selloff as a potential opportunity, but I would not rush to buy the dip just because the stock has fallen sharply. The market is becoming more selective about AI spending, especially when massive capex starts putting pressure on free cash flow. I would rather wait for clearer signs that revenue growth and profitability can justify the investment. For me, protecting capital and getting a good entry price matter more than catching the first bounce.

I am also keeping an eye on $Apple(AAPL.US) and $AMD(AMD.US) next week, as both could offer opportunities depending on their earnings and forward guidance. I remain bullish on the long-term AI and semiconductor themes, but I prefer to accumulate gradually during meaningful pullbacks rather than chase momentum. My approach remains the same: stay patient, diversify, and let fundamentals guide my decisions. Consistency over noise!

I would lean towards $Microsoft(MSFT.US) going into 2027 because Azure’s 48% growth shows strong demand for AI and cloud services. For me, AI investment is not just about spending billions on infrastructure, but also about turning that spending into sustainable revenue and cash flow. $Alphabet(GOOGL.US) still has long-term potential, especially with Google Cloud and Gemini, but negative free cash flow is something I would watch closely.

I believe both companies can benefit from the AI boom, but valuation, capital expenditure and return on investment will determine who comes out ahead. I would not chase either stock purely because of one earnings report. My approach is to accumulate gradually on pullbacks, monitor cloud growth and free cash flow, and stay disciplined. In this AI race, I prefer companies that can turn huge investments into real profits over time.

I remain bullish on the semiconductor sector because SK Hynix’s $SK Hynix(SKHY.US) sold-out memory supply highlights how strong AI demand has become. However, I do not want to chase prices after this rally. I prefer to accumulate gradually during pullbacks, especially in $Direxion Semicon Bull 3X(SOXL.US), while keeping an eye on Microsoft and Alphabet’s earnings for signs that AI spending is translating into real returns.