To The Moon

$ServiceNow(NOW)$ 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

Going into the Q2 GDP release, I expect a result close to market consensus rather than a major surprise. Consumer spending has moderated, but strong AI-related capital expenditure should continue supporting growth. To me, the economy remains resilient despite signs of cooling. I'm focusing more on what the GDP data means for the Fed than the headline itself. A stronger-than-expected reading could push yields higher and pressure growth stocks, while a weaker result would likely support AI, semiconductor and software names through lower rate expectations. My strategy remains unchanged. I stay bullish on the long-term AI cycle and will continue using market volatility to accumulate quality companies instead of chasing short-term rallies. Patience and disciplined position building remain my p

$Corning(GLW)$ 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