$ServiceNow(NOW)$ I continue to dollar-cost average (DCA) into ServiceNow (NYSE: NOW) because I believe the company is one of the strongest long-term beneficiaries of enterprise AI. While many businesses are still experimenting with AI, ServiceNow is already embedding AI agents and automation into mission-critical workflows, helping customers improve productivity and reduce operating costs. As AI adoption accelerates, I expect demand for its platform to continue expanding. Another reason I remain confident is ServiceNow's consistent financial execution. The company continues to deliver strong subscription revenue growth, high renewal rates, expanding margins and healthy free cash flow. These qualities give it the ability to invest aggressively

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I’m leaning toward Option B — the Fed keeps rates unchanged through year-end. The 9–3 vote shows growing concern about inflation, but higher Treasury yields are already tightening financial conditions. Unless inflation picks up again, I think the Fed will wait for more data. I’m watching core PCE, CPI, and the labor market most closely. If inflation continues to cool and job growth slows gradually, another rate hike becomes less likely. However, persistent oil-price strength could keep inflation sticky and delay any policy easing. For investing, I expect high-growth stocks to stay volatile while yields remain elevated, whereas energy stocks could benefit from firm oil prices. I’m staying selective and focusing on companies with strong earnings rather than reacting to short-term market mov

I see this selloff as more than just a reaction to the Fed holding rates steady. What changed was the market's expectation for future policy. A more hawkish tone, combined with higher Treasury yields, puts pressure on high-valuation growth stocks that have rallied strongly this year. At the same time, geopolitical risks are making investors even more cautious. Rising oil prices and tensions in the Middle East could keep inflation elevated, making it harder for the Fed to begin cutting rates. That uncertainty is increasing market volatility across multiple asset classes. For now, I'm not changing my long-term strategy. If fundamentally strong AI and technology companies pull back because of macro concerns rather than weaker earnings, I'll continue to accumulate them gradually. Volatility c

Apple's rally reinforces my view that the market is rewarding AI returns over AI spending. Its asset-light model, strong free cash flow and massive ecosystem give it an advantage over companies investing heavily in AI infrastructure. I believe this supports Apple's premium valuation. I'm also encouraged by Apple's AI progress in China. Regulatory approval for Apple Intelligence, resilient iPhone demand and high-margin services strengthen its long-term outlook. Continued share buybacks also provide support for shareholder returns. While valuation is becoming more demanding, I remain focused on the long term. Short-term volatility is possible, but I believe Apple's ecosystem and AI strategy will continue to drive sustainable growth. @AI_Focus

I found this livestream insightful because it reinforced my view that AI is shifting from hype to real business value. Singapore has one of the world's highest AI usage rates, but many businesses are still in the early stages of adoption. That creates a compelling long-term investment opportunity. To me, the biggest winners may not be AI applications, but the infrastructure behind them. As enterprise adoption grows, demand for data centres, semiconductor testing, precision engineering and digital infrastructure should continue to rise. These are the "shovel sellers" of the AI era. I'm optimistic about Singapore's AI ecosystem. With strong government support and rising compute demand, I believe SGX-listed AI infrastructure companies have a long growth runway. My focus is on accumulating qu

$Corning(GLW)$ When Corning ($GLW) pulled back, I didn't see it as a reason to panic. Instead, I saw an opportunity to average down my position. My investment approach has always been to increase exposure when I believe the long-term fundamentals remain intact but the market becomes overly focused on short-term concerns. For me, price volatility creates opportunities, not reasons to abandon quality companies. One of the biggest reasons I remain confident in Corning is its growing role in AI infrastructure. While many investors focus on AI chips, data centers also require high-speed optical connectivity, specialty glass, and advanced materials to support the explosion of data traffic. Corning is a key supplier in these areas, and I believe dema

I would choose B first, followed by A. I remain most bullish on the AI hardware supply chain because regardless of which platform wins, hyperscalers will continue investing in GPUs, networking, memory and power infrastructure. As long as capex stays strong, hardware demand should remain well supported. Microsoft's $Microsoft(MSFT)$ results also show the market has shifted from rewarding AI spending to rewarding AI monetization. Azure and Copilot are already generating visible revenue, while Meta $Meta Platforms, Inc.(META)$ still needs to prove its AI investments can create meaningful cash flow beyond advertising. I don't think the AI trade is over—it is simply becoming more selective. I'll continue accu

I don't own $SK hynix(SKHY)$ or $CSOP SK Hynix Daily (2x) Leveraged Product(07709)$ directly, but I've been increasing my exposure to the memory-chip sector through Micron and leveraged semiconductor ETFs during this pullback. I believe the selloff reflects overly high expectations rather than weakening fundamentals. AI-driven HBM demand remains a strong long-term growth driver. I prefer buying quality companies during periods of fear instead of chasing momentum. I've been adding to Micron and SOXL on weakness because I expect AI infrastructure spending and memory demand to keep expanding. Volatility creates opportunities for patient investors. The leverage change to 07709 makes sense from a risk-manag

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AI has reached a stage where the question is no longer whether we should adopt it, but how we can create real business value from it. My biggest takeaway is that while many companies have experimented with AI, only a small % have successfully integrated it into their core operations. The real challenge is turning AI into measurable business results. I also found the discussion on the three AI risks particularly insightful. Moving too slowly could leave a business behind, while rushing in without a clear strategy could waste resources. Doing nothing, however, may be the biggest risk of all. AI adoption needs a clear roadmap and measurable objectives, not just hype. From an investment perspective, I appreciated the focus on the SGX AI value chain instead of chasing only the biggest AI names

I would choose Option D. I'm still bullish on Micron over the long term, so I see this pullback as an opportunity rather than a reason to panic. I'm not trying to catch the exact bottom. Instead, I'm adding gradually while keeping cash available if the sector weakens further. For me, the investment thesis hasn't changed. AI infrastructure, HBM demand, and data center memory growth remain intact, even as the market resets valuations after the earlier rally. That's why I'd rather accumulate quality companies at better prices than react emotionally. History has shown that the best long-term returns often come from buying quality businesses during periods of fear. If volatility remains high, I'd also consider a cash-secured put at a price where I'd genuinely be happy to own more shares. The p

I voted YES, but I'm adding positions cautiously rather than going all in. When fear takes over the market, that's usually when I start accumulating quality companies at better valuations. I don't try to catch the exact bottom—I simply buy in stages and keep some cash in reserve. The recent pullback in semiconductors has created opportunities that I don't want to ignore. While headlines around the Middle East and macro uncertainty remain noisy, I believe many leading AI and technology companies still have strong long-term fundamentals. That's why I'm selectively adding to my U.S. positions instead of waiting for the "perfect" moment. Risk management is still my priority. If markets fall further, I'll continue averaging in gradually rather than chasing prices. For me, consistency beats try

I’m backing Microsoft $Microsoft(MSFT)$ to deliver the strongest post-earnings performance. Azure demand has stayed resilient, and I believe Copilot is gradually becoming a meaningful revenue driver. If Microsoft reports strong cloud growth while proving AI investments are generating returns, it could further strengthen the AI bull case. Meta $Meta Platforms, Inc.(META)$ is my second choice, with AI continuing to improve its advertising business, although expectations are already high. Apple needs to show Apple Intelligence can drive a new upgrade cycle, while Amazon’s AWS could surprise if AI cloud demand accelerates. Overall, I think this earnings season is about proving AI spending can translate in

I would choose B, while keeping D in mind. I'm still bullish on the AI infrastructure ecosystem because I believe we're in the early stages of AI adoption. Nvidia, TSMC and the broader semiconductor supply chain continue to have strong long-term demand. The financing concerns around Nvidia are worth monitoring, but they don't change my long-term view. China's immersion DUV progress is strategically important, but the real test is customer qualification, production stability and repeat orders—not just the first machines. I'll be watching execution rather than headlines, as successful mass production would be a meaningful milestone for the semiconductor industry. Apple reclaiming the top spot shows the market is placing greater value on cash flow and capital efficiency. I believe the next w

I'm watching both A and B because AI platforms and semiconductor suppliers are closely linked. Microsoft, Meta, Amazon and Apple need to prove AI spending is generating real returns, while NVIDIA, TSMC, Broadcom and Micron need to show demand remains strong. These earnings are a key test for the AI cycle. The oil pullback is positive for growth stocks, but I'm not treating it as an all-clear signal. Geopolitical risks remain, and the Fed could still shift market sentiment. I'd rather see earnings and the Fed confirm the current optimism. For now, I'm adding quality AI and semiconductor names on weakness instead of chasing rallies. I believe volatility creates opportunities to accumulate high-conviction positions at better valuations. If earnings, the Fed and oil all align, I believe the A

I believe the recent AI memory correction is more of a valuation reset than the start of a new downcycle. The concerns Ross highlighted are valid, but I don't think they change the long-term AI infrastructure story. As long as hyperscalers keep investing in AI data centres, demand for HBM and advanced memory should remain strong. The signal I watch most is hyperscaler capex. Memory prices and inventories can fluctuate, but continued spending from Microsoft, Meta, Amazon and Google would confirm that AI demand is still expanding. I also think open-weight AI models could increase overall demand by encouraging more enterprises to deploy AI. For my portfolio, I'll stay focused on fundamentals instead of short-term volatility. If supply continues to grow much slower than AI demand, I believe t

One of my biggest takeaways was the discussion on open-source AI models and memory demand. I hadn't fully considered that larger context windows and always-on reasoning could actually increase memory requirements. It was a good reminder that greater AI efficiency doesn't necessarily mean lower demand for advanced memory. The comparison with Kimi K3 also gave me a different perspective on the AI memory cycle. If open-source models continue gaining adoption, demand for HBM and high-performance DRAM could remain stronger than many investors currently expect. That supports my long-term bullish view on the memory sector. As an investor, I try to focus on structural trends rather than short-term market reactions. This session reinforced my conviction to stay patient, keep following the fundamen