To The Moon

The market might still be underestimating hyperscalers. Morgan Stanley estimates they're generating 31% ROIC in AI infrastructure businesses and 25%-46% ROIC in AI inference businesses. If those numbers hold, the AI capex story looks very different. A lot of the focus has been on how much companies are spending on data centers, GPUs, and infrastructure. But the bigger question is what kind of returns those investments will actually produce. If AI infrastructure spending is generating strong returns, the largest cloud companies could see massive free cash flow expansion over time. Names worth watching: $Microsoft(MSFT)$ , $Alphabet(GOOG)$ , $Amazon.com(AMZN)

$ServiceNow(NOW)$ $Microsoft(MSFT)$  I'm hoping Microsoft's earnings can give the broader software space a lift. If that happens, the rotation into software could actually gain some traction.

$Alphabet(GOOG)$ Amazon Web Services and Microsoft Azure still hold larger overall market shares, but Google Cloud is seeing a major financial and structural acceleration right now. As of mid-2026, Google Cloud is growing faster than any of its major competitors, driven almost entirely by the enterprise shift toward Artificial Intelligence. Here is why Google Cloud looks positioned for sustained, long-term success in the cloud market: 1. The Enterprise AI "Super-Cycle" Google is successfully translating its foundational AI research into practical products that massive corporations are heavily adopting. Explosive Revenue Growth: In Q2 2026, Google Cloud revenue surged 82% year-over-year to $24.8 billion, significantly outpacing analyst expecta

$NVIDIA(NVDA)$  Another red day across the MAG 10, but I'm not reworking my long-term watchlist over one session. PLTR -2.2%, AAPL -1.75%, AMD -1.25%, NVDA -1.0%, AVGO -1.0%. When quality names pull back together like this, I pay more attention, not less. I'm not trying to nail the exact bottom, but these are the moments when my watchlist gets more interesting. Sometimes the best setups appear when sentiment is at its weakest.

$SUPER MICRO COMPUTER INC(SMCI)$ $NVIDIA(NVDA)$ Put-to-call ratio is one of my favorite leading indicators. It's at an extremely low 0.19, which is very encouraging.

$SUPER MICRO COMPUTER INC(SMCI)$ $Alphabet(GOOG)$  The company looks set to increase capex again. Stubborn shorts could be in for a tough time. There's no reason to panic yet.

$Alphabet(GOOG)$  It's pretty wild to think that Google's capex announcement tomorrow could either tank chip and memory stocks or send them up 10%. That's some serious kingmaker power right there.

Microsoft ($Microsoft(MSFT)$ ) is trading around $398.00, and the lithography leader ASML ($ASML Holding NV(ASML)$ ) is up +4.74% to $1,821.50, absorbing short-term volatility above key demand zones. The expansion of the AI ecosystem is the main theme. $Microsoft(MSFT)$ 's support for Mistral is strengthening European AI adoption, while $ASML Holding NV(ASML)$  continues to benefit from long-term semiconductor capex and advanced chip demand. The market always leaves clues, and learning to recognize them is key. Watching support levels and capital flows remains critical.

$Alphabet(GOOG)$  $Microsoft(MSFT)$ $Meta Platforms, Inc.(META)$ $SPDR S&P 500 ETF Trust(SPY)$ $Invesco QQQ(QQQ)$ It's a bit ironic that big tech stocks are selling off when they're the ones funding most of the AI innovation and growth, and they're also the ones positioned to capture the rewards from it.

$Tesla Motors(TSLA)$ Florida is turning into a key demonstration area for Tesla's autonomous driving. In a short span, they've moved from Miami to Orlando to Tampa. If the unsupervised FSD system handles these three major urban areas well, the path seems open to gradually widen the operational zones. Florida's regulatory stance is already among the most supportive for autonomous vehicles in the U.S., and the state leadership has expressed public backing. The broader implication might not be about ticking off cities one by one, but about linking them to achieve coverage across the entire state.