My pick: D — Expectations are already high. I’m still bullish on Nvidia’s business, but at this stage, the biggest risk isn’t whether AI demand exists—it’s whether future growth can beat what the market has already priced in. The US$3–4 trillion AI infrastructure opportunity is enormous, and Nvidia’s move from GPUs toward full AI systems, networking, robotics and cybersecurity could expand its addressable market significantly. But a great company doesn’t automatically mean a great stock at any valuation. Rising competition, supply constraints, customer concentration and eventually slowing growth could all pressure the multiple. Burry closing his puts is interesting, but I wouldn’t treat it as a buy signal. For NVDA, execution must keep outrunning expectations.
I think the 50% share can hold in the near term, but it is becoming a much higher bar to clear. Goldman itself expects AI infrastructure beneficiaries to drive roughly half of S&P 500 earnings growth, while Q2 data showed AI infrastructure already contributing about one-third of EPS growth. The key question is no longer whether companies will spend on AI—they clearly are. It is whether that spending converts into recurring revenue and margins. If hyperscalers keep expanding capex, the suppliers can continue winning. But if financing costs rise or ROI disappoints, the earnings concentration becomes the market's biggest vulnerability. So my view: 50% can persist, but it probably cannot keep rising indefinitely. AI remains the engine; valuation and cash-flow discipline decide how far the
For me, I would choose A — Hike 25bp. The latest inflation data is too sticky to ignore, especially with core CPI accelerating and oil prices back above US$100. I think the Fed would rather make a small adjustment now than risk allowing inflation expectations to become harder to control later. I would not expect a 50bp hike at this stage because that could create unnecessary pressure on economic growth and financial markets. A 25bp hike would be a more measured approach, while keeping the door open for the Fed to pause if inflation starts cooling again. If the Fed hikes, my pick for the biggest short-term impact is 🤖 AI & tech stocks. Higher rates usually put pressure on high-valuation growth stocks because future earnings become less attractive when discounted at higher rates. I rema
For me, 50% is already a very meaningful contribution, and I think AI can maintain a large share of S&P 500 $S&P 500(.SPX)$ earnings growth. The AI cycle is no longer just about chips. It is spreading into cloud, data centres, networking, software and productivity gains. That said, I would not expect AI spending to grow at this pace forever. Oracle shows both sides of the story: huge future demand, but also massive CapEx and cash flow pressure. The market will increasingly reward companies that can turn AI demand into real earnings and cash flow. I remain bullish on AI long term, but I prefer selective accumulation rather than chasing. For me, the next phase is not about who spends the most, but who can turn that spending into sustainab
AI booming too fast? Will the world become like terminator?
Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions. So even AI creators themselves are worried and concerned about the rapid rate that AI is developing right now. The main researcher from Anthropic recently left his post, verbalizing his concern that AI might cause human extinction by the end of this decade. Strong words indeed from an industry expert. Every company are just pushing each other to improve their AI models in order to keep up with demand. But are they shooting themselves in their foot because of this constant rat race? So with everything such as escalating Iran/US conflict, Fed rate decision, constant questions revolving around pace of AI innovation, steaming CPI/PPI numbers, tradit
$Surf Air Mobility Inc.(SRFM)$ 🔴 SRFM — Extremely Negative Review ⭐ 1/5 — A stock that keeps finding new ways to disappoint Surf Air Mobility (SRFM) has become an extremely frustrating speculative stock. Even when the company releases apparently positive developments, the share price seems unable to sustain meaningful upward momentum. Instead, shareholders have watched the stock grind lower from around $0.80, through $0.70 and $0.60, and now toward the $0.50 area. The biggest concern is that good news isn't translating into shareholder returns. The recent Mokulele contract should have been encouraging, yet the market continues to punish the stock. That suggests investors are much more concerned about losses, financing requirements, dilution and t
I keep hearing the bull case, and apparently it now requires Kevin Warsh and the Fed to perform a magic trick. Suppose Warsh miraculously doesn’t hike. Fantastic. Pop the champagne, fire up the algos and buy everything because disaster has officially been postponed until the next FOMC meeting. Except the threat of a hike doesn’t disappear. It simply becomes the charming little macro landmine sitting underneath the market for the rest of the year. Every inflation print, jobs number, oil spike and Fed speech becomes another episode of “Will They or Won’t They?” And if the Fed does hike? Congratulations—the bulls get the tightening they insist is already priced in. If the Fed doesn’t hike? Congratulations again—the market gets to spend the next few months wondering when Warsh finally pulls th
US 10-Year Yields Reach 5%, Highest Since 2023
Benchmark 10-year U.S. Treasury yields climbed above 5% on Monday.
I buy the thesis, but not necessarily the price after a 14% jump. AI creates a strong structural tailwind for cybersecurity. More autonomous agents mean more identities, endpoints, cloud workloads and attack surfaces to monitor. Security is also one of the harder IT budgets to cut when the threat itself is getting stronger. But cybersecurity cannot simply replace the semiconductor trade. The addressable spending pool is much smaller, and after CRWD and PANW jumped 13%+ in one session, a lot of enthusiasm has been pulled forward. So I would buy the theme, not chase the spike. CRWD and PANW are my preferred names on a pullback. The real confirmation comes when AI-security fears translate into sustained ARR growth, larger contracts and higher guidance. More dangerous AI = more security spendi
For me, Burry closing his Dec 2026 NVDA puts is interesting, but I would not take it as a reason to turn bullish immediately. It suggests even a well-known bear is becoming more selective about the timing of the downside trade while Nvidia’s fundamentals remain strong. I am more focused on Jensen Huang’s US$3–4 trillion AI infrastructure opportunity through 2030. If AI spending keeps expanding across hyperscalers, enterprises, neoclouds and sovereign AI, Nvidia has multiple ways to capture that growth. Its move toward full rack-scale systems and higher-value platforms also increases its exposure to AI capex. That said, I would still watch valuation closely. Strong demand does not mean the stock is cheap. I remain cautiously bullish and would prefer accumulating on meaningful pullbacks rat
For me, today’s selloff looks more like a repricing than a sign that the AI cycle is over. If frontier model development slows, I think AI spending could simply shift from training the next massive model toward inference and deploying existing models at scale. I am especially watching AI agents and inference demand. As companies like Microsoft, Google, Amazon and Meta integrate AI deeper into everyday workflows, the demand for GPUs, HBM, networking and data-center power could remain strong. In some ways, broader inference adoption could create an even wider market than frontier training. That said, I would not ignore valuation risk. If cloud companies start cutting capex while GPU utilization, HBM orders and networking demand weaken together, that would be a much more serious warning. For
Investing in $Intel(INTC)$ is like deciding whether to buy a house that needs a lot of fixing up. It could be worth a lot more later, or it could cost you more time & money than expected. Reasons to buy Intel: The US government wants chips to be made in America & they are giving Intel billions in support to make that happen. The Comeback Plan: Intel is building massive new factories to make chips for other companies, which could unlock huge new profits in a few years. High Demand: Right now, there is a shortage of computer processors or CPUs. Because of this, Intel can charge higher prices for its products. Reasons to Pause: Tough competition: Fierce rivals like AMD are still winning a lot of market share & I
🌟🌟🌟Is $Oracle(ORCL)$ a Buy or Sell? The case to Buy: When Larry Ellison cancels a share sale, it signals that he believes the stock is undervalued & better days are still ahead. Oracle's backlog growth: Oracle's remaining performance obligations have grown rapidly, showing that the long term pipeline for its cloud and AI infrastructure services is robust. The Case To sell: Squeezed Cash Flow: Oracle is spending billions on GPUs & building massive global data centres. This exerts heavy pressure in the short term. Execution Risk: Building infrastructure is capital intensive. The Verdict: Hold firm if you believe in Larry Ellison's track record & view Oracle as a winner in the AI cloud infrastructure race over a long t
$ParkwayLife Reit(C2PU.SI)$ ParkwayLife Reit - I think gd price is back. At 3.98, yield is about 4.4 percent seem not bad. ParkwayLife Reit - 1st Half Results is out! DPU is up 14.6 percent to 8.77 cents. DI is up 14.6 percent to 57.2m, awesome.XD 12th August, paydate 8th September 2026. Estimating yearly dividend of 17.54 cents, yield is about 4.18%, seem not bad! gross revenue for the half year stood at S$77.1 million, while net property income was S$72.4 million. Compared to the corresponding period last year, gross revenue and net property income have declined by 1.6% and 2.0% respectively, mainly due to the depreciation of the Japanese Yen and lower rental income from affected Japan assets. These were partially offset by continued c
For me, $CrowdStrike Holdings, Inc.(CRWD)$ and $Cloudflare, Inc.(NET)$ stand out the most. AI growth is creating more demand for cybersecurity and connectivity infrastructure. CRWD has strong ARR growth and cash flow, while NET benefits from rising AI workloads. I would rather watch these names than chase the energy rally after such a strong run. I am also watching $Marathon Petroleum(MPC)$ and $Valero(VLO
For me, Monday looks more like a rotation than a real change in the AI story. The market is questioning how fast AI training spending can grow, which explains the sharp selloff in memory and semiconductors. But a few comments about slowing frontier AI development are not enough to invalidate the huge AI infrastructure investments already underway. I find the cybersecurity move more interesting. The more AI systems and agents enter production, the more security and monitoring they will need. That makes CRWD and PANW interesting to me, although after such a strong one-day rally, I would rather wait for a better entry than chase. I am also watching the 10-year yield and oil closely because they are more immediate valuation risks. If yields stay near 5%, high-growth AI stocks could face more
AI Chip Stocks Are Selling Off Hard: Should Investors Buy, Hedge, or Wait? AI hardware stocks came under heavy selling pressure on Monday. The $PHLX Semiconductor Index (.SOX.US)$ fell more than 5% intraday, with $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , $Broadcom(AVGO)$ and $Micron Technology(MU)$ among the biggest decliners. Meanwhile, $Microsoft (MSFT.US)$ , $Alphabet-C (GOOG.US)$ and $Meta Platforms (META.US)$ moved higher, while cybersecurity stocks
I’d pick ② Identity security. The biggest AI-security shift is not just protecting models—it’s controlling what autonomous agents are allowed to do. An AI agent can access databases, execute code, move data and trigger workflows at machine speed. That makes traditional “user login” security increasingly inadequate. CrowdStrike is already building dedicated agent identities and continuous authorization, while Zscaler is developing Zero Trust controls specifically for AI agents. The interesting part is the economics: every new AI agent deployed into an enterprise could create another identity, permission set and attack surface that needs protection. So cybersecurity may become an unavoidable AI infrastructure tax. The winners won’t simply be companies selling “AI security” — they’ll be thos
Could Security Be AI’s Biggest “Second-Order” Trade?
U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files
I would choose C. I remain bullish on AI infrastructure because slowing frontier-model development does not mean companies will suddenly stop investing in chips, memory, data centers and power. The existing AI workloads still need to be supported, and enterprise adoption is still developing. I would not blindly follow the $315 million options trade either. Even if Leopold is behind it, large funds have different risk tolerance and strategies from retail investors. I see the trade as a useful signal, but not a reason to chase AI stocks after a sharp move. With Triple Witching this Friday, I would expect more short-term volatility. I would rather use any excessive pullback to gradually DCA into strong AI infrastructure names than try to predict every move. For me, the long-term AI story rem
🌟🌟🌟The count down is on for $SpaceX(SPCX)$ to double its weighting in the Nasdaq 100 index from 1.28% to 2.82% on September 21 2026. The Trader's Dilemma: Should I FOMO into SpaceX or wait for a pullback? The Case For Buying Now: Index tracking funds must hold the correct weight. That means $Invesco QQQ(QQQ)$ will be forced to buy USD 12.4 billion to USD 15.5 billion worth of SpaceX stock. SpaceX has recently been locked in AI compute deals which include a fresh USD 1.11 billion a month contract aimed at increasing their annual recurring revenue towards USD 100 billion by end of 2026. The Case For Waiting: There is SpaceX Lockup Expiration from late September to November. While August
I would choose ②. As AI agents become more connected to enterprise systems, identity and permissions could become a major security challenge. Companies will need to know which AI agent is acting, what it can access, and what actions it can take. I still like the broader cybersecurity story because AI deployment creates new security needs. CRWD, PANW and ZS could benefit if AI security becomes a bigger budget item, but I would not chase a double-digit rally. I want to see actual ARR growth and enterprise spending first. For me, the key question is whether AI security becomes a standard part of enterprise AI. If companies increase spending on identity, data protection and agent monitoring, cybersecurity could become another essential layer of the AI infrastructure stack.
Could Security Be AI’s Biggest “Second-Order” Trade?
U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files