For my choice: C — Stay between $310 and $330 I think C is the most reasonable scenario. Apple is already up strongly, so a lot of good news may already be priced in. If the iPhone 18 Pro and foldable iPhone are close to expectations, investors may take some profits. At the same time, Apple has a very strong brand and customer base, so I would not expect a major collapse unless the event disappoints badly. My view: Above $330: Needs a clear positive surprise. $310–$330: Most likely if the event meets expectations. Near $310: Possible if investors “sell the news.” For a long-term investor, one-day movement matters much less than iPhone sales, AI progress, profit growth and cash flow. Bottom line: C for the short term; watch the fundamentals for the long term.
For my choice: AI monetisation I think AI monetisation will have the biggest influence on U.S. stocks in Q4. Why? AI spending is already huge. The next question is: “Is all this AI spending creating real profits?” I would watch this simple chain: AI spending → Revenue → Profit → Cash Flow If companies show strong AI revenue and improving cash flow, investors may continue supporting AI stocks. If spending keeps rising but profits and cash flow disappoint, expensive AI stocks could face a sharp correction. My Q4 priority: 1) AI monetisation 2) Interest rates 3) Earnings 4) Inflation 5) IPO cycle Bottom line: Q4 may be less about “Who is using AI?” and more about “Who is actually making money from AI?”
For my choice: A — META I agree most with JPMorgan upgrading META. Meta has a huge user base and a strong advertising business. If AI improves advertising, recommendations, messaging and new products, Meta has a good chance to turn its AI investment into higher revenue and profit. The call I may disagree with: B — NBIS NBIS has exciting AI infrastructure potential, but the US$355 target looks very aggressive. The business has higher execution and valuation risk than META. My ranking: 1) META — Best balance of growth and quality 2) INTC — Interesting turnaround, but risky 3) NBIS — High potential, high risk LAC — Depends on lithium prices NVO — Growth concerns Bottom line: For 5–10+ years, I prefer META. Don't buy a stock just because an analyst gives it a high price target. Bus
For my view: I strongly agree. Oracle is a good example of why investors should not buy a stock only because of its AI story. The most important things to check are: Cash flow — Is the company actually generating enough cash? Profit — Are profits growing? Debt — Is the company borrowing too much to fund AI expansion? Real AI demand — Are customers actually paying for AI services? Execution — Can management turn AI investment into real revenue? For Oracle, the AI opportunity is huge, but building data centers and AI infrastructure requires a lot of money upfront. So I would not ask, “Is Oracle an AI company?” I would ask: “Is Oracle's AI investment producing enough cash and profit to justify the spending?” Bottom line: AI is the story. Cash flow is the proof. For a beginner in
For my view: I strongly agree. The biggest lesson is: AI should improve the business, not simply replace people. If a company cuts employees too quickly, it may save money today but lose knowledge, experience and productivity later. I prefer Enterprise AI — AI built directly into the company's systems and processes. This means the business can continue using the knowledge even when employees leave. For investors, I would look for companies where AI: Reduces costs Improves productivity Increases revenue Keeps knowledge inside the company Creates long-term competitive advantages The important point is that AI adoption alone is not enough. A company can use AI everywhere and still make poor decisions. Bottom line: Don't ask, “How many employees can AI replace?” Ask, “How much bet
For my choice: C — Stay bullish, but focus on AI infrastructure. I think C is the best choice. AI models may slow down because of safety concerns, but AI still needs: Chips: AMD, NVIDIA Memory: SK hynix, SanDisk, Micron Data centers: CoreWeave Power: Bloom Energy Even if new AI models develop more slowly, existing AI systems still need huge amounts of computing power, memory, data centers and electricity. The $315 million options trade is a positive signal, but I would not blindly follow it. We don't know the full strategy behind those trades. What I would do Long term: Stay bullish on AI infrastructure. Short term: Be careful. Triple Witching and high valuations can create big price swings. I would rather buy strong companies during pullbacks than chase stocks after a big rise
For my simple view. I agree with the main lesson: More AI does NOT automatically mean more value. The Xero example is important for investors. A company can add many AI features, but if customers feel that AI is replacing them instead of helping them, it can actually hurt the business. For me, there are 3 things to check: Does AI save customers money or time? If yes, AI creates real value. Does AI increase revenue or profit? More AI features are meaningless if they don't improve financial results. Do customers actually use and pay for the AI? This is more important than management saying “we are an AI company.” Investment lesson I would not buy a stock simply because it uses OpenAI, Anthropic, or AI. I prefer companies where AI: increases revenue improves profit margins redu
I would split the move roughly like this: Oil/geopolitical tension: 60% Brent oil moved close to US$108. Higher oil prices can push inflation higher. That makes investors expect higher interest rates for longer, which pushes Treasury yields up. Fed/rate expectations: 40% Stronger inflation data increased expectations of a rate hike. Markets were pricing around 89–92% probability of a hike this week. This directly supports higher Treasury yields. My view The oil shock was the main trigger, while Fed expectations amplified it. The important point is that a 5% 10-year Treasury yield is a big deal for expensive growth stocks. Higher yields make future profits worth less today, so high-valuation technology and AI stocks can face pressure. For investors: Short term → I would be caut
For my views. AI infrastructure still looks like the theme with the strongest runway. Dell's $60.9bn of AI-server orders and $95bn backlog suggest this is not merely an AI narrative anymore; customers are actually committing huge amounts of capital. The interesting part is that demand is also spreading into storage, networking and traditional servers. The catch is valuation. DELL has already had an enormous run, so I would not chase a vertical move simply because it made another high. Fresh highs backed by rising earnings and guidance can keep making fresh highs, but the margin for disappointment gets smaller. Healthcare royalties such as RPRX and HALO are attractive for their recurring cash flows, but for growth momentum, I still favour AI infrastructure. My pick: A, DELL. Strongest them
I choose C — Somewhere in between. MSBT attracting inflows while the wider Bitcoin ETF market had about $463 million in outflows is definitely interesting. But four days is too short to prove that Morgan Stanley has created a strong, long-term institutional demand. The bigger point is that Morgan Stanley is building more ways for traditional investors to access Bitcoin, Ethereum and Solana. For me: Short term: Interesting signal, but not enough evidence. Long term: More important if MSBT continues getting inflows during future Bitcoin market weakness. Also, 7,855 BTC does NOT mean Morgan Stanley itself invested $600M of its own money. Much of that Bitcoin backs investor demand for the product. My answer: C — Watch it, but don't overreact yet.