Editor's Notes: * The SaaS pressure story is not new, but feels like market is reacting to it more seriously now. Before it was more like long-term concern, now it is hitting prices fast. If AI can replace workflows, then per-seat model becomes weaker. You can see
Editor's Notes: * Right now the market feels very fragile to headlines, almost too sensitive. Small news, even just comments or posts, can move futures and oil very fast. It gives feeling that trading is less about fundamentals and more about reaction speed. The risk around Strait of Hormuz
Editor's Notes: This is the second part of the earnings summary for last week — I shared part 1 yesterday. * The biggest shift that stands out is how Chinese EV players are finally crossing into profitability, but in a very different way than before. It’s less about selling
Editor's Notes: * This is part 1 of our earnings recap from the past week. We’ll share part 2 tomorrow given just how packed the calendar has been. One thing that stands out right away: AI is no longer a side narrative, it’s embedded everywhere, but the
Editor's Notes: * The AI trade isn’t breaking, but it is running into real-world constraints at the worst possible time. Power and infrastructure have been known bottlenecks, but what’s changing is the pressure coming from regulation and geopolitics. The SMCI fallout makes it clear that enforcement
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Editor's Notes: * The market is starting to internalize a pretty uncomfortable mix: AI is driving a new wave of demand-pull inflation (that $185B hyperscaler capex number keeps getting bigger), while geopolitics is reigniting cost-push pressures through energy. The Qatar LNG disruption is going to keep inflation
Editor’s Note * This is a genuinely useful read-through because it cuts through the AI hype and shows what’s actually monetizing today. What stood out to me from Tencent is that AI is already driving pricing, ad performance, and cloud profitability. That’s important context going into Alibaba
The current market sentiment reflects a convergence of geopolitical tensions, revised Federal Reserve interest rate expectations, and evolving AI infrastructure demands. Key takeaways include concerns about stagflationary pressures impacting the Fed's policy, significant shifts in Japan's monetary policy, divergent growth trends in Hong Kong and China,
Editor’s Note * We’re firmly in a “compute over labor” market now. The shift is becoming hard to ignore — companies like Meta and NVIDIA are effectively reallocating from people to machines, and doing it at scale. What’s interesting is the market is still taking this in stride, even
Editor’s Note * This print really comes down to whether AI is starting to show real returns. For Alibaba, the focus is less on headline earnings and more on whether cloud growth and early monetization can justify the scale of investment. AI agents in particular are getting a lot of
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Editor’s Note * AI is becoming a full industrial buildout. Capex from players like Meta and AT&T is starting to look more like utilities or telecom cycles than tech. And once you follow that thread, it pulls in everything else — networking (Ciena), semis, even obscure inputs like helium.
Investment
Editor’s Note * AI is quietly moving from concept to real operating leverage. What stood out this week wasn’t just companies talking about AI, but showing how it actually changes the economics of their business. Software names like ServiceTitan are already seeing meaningful ROI from AI-driven automation, while