【Livestream Clip 1｜Selina Han: Why Microsoft Has the Clearest AI Monetization Path】

TBlive
08-21

【LIVESTREAM RECAP｜2026 Q2 Earnings Review: Big Tech, AI CapEx & Why Tech Stocks Pulled Back】

Hi Tigers! In this session we took a deep dive into Big Tech's 2026 Q2 earnings, AI CapEx, and why tech stocks pulled back in late July. The flow was clear: first the macro timeline from late July into August (FOMC, payrolls, CPI, Jackson Hole), then a company-by-company read of Google, Microsoft, Amazon, Meta and Apple with their AI spend, and finally the big question everyone's asking — why did stocks fall even when earnings were strong?
Full replay 👉 2026 Q2 Earnings Review: Big Tech, AI CapEx & Why Tech Stocks Pulled Back

【ABOUT THE GUEST】

Our speaker, Selina Han@Selina_Han_Insights, is the founder of Han Insights and an independent researcher. She was the first economist at CBOE — the largest equity options exchange in the U.S. — specializing in U.S. equity markets, listed options, market structure, exchange economics and financial regulation. What makes her perspective rare: she reads markets not just from the investor side, but from the exchange and market-structure side, tying macro, earnings and the AI narrative into a framework you can actually use.

【HIGHLIGHTS】

1. Macro timeline: how FOMC, payrolls, CPI and Jackson Hole moved the tape, and the back-and-forth on rate expectations.

2. The AI CapEx scoreboard: a sentiment-driven rating of each company's AI spend (green/yellow/red lights) so you can see who's leading at a glance.

3. Strong earnings, sold off anyway: reports looked solid, yet tech stocks dropped in late July — what was really going on.

Live Recap:

Live Recap 1: Why Tech Stocks Fell Despite Strong Earnings — Six Weeks That Moved the Market
Live Recap 2: The Big Tech AI CapEx Scorecard — Who's Actually Turning Spending Into Earnings
Live Recap 3: The AI Basket Broke Together — Inside the Situational Awareness Forced Unwind
Live Recap 4: Fed Policy, Jackson Hole, and What Comes Next — Q&A Highlights

【THIS CLIP】

Why does Microsoft have the clearest path to AI monetization? Selina starts from her own experience: Copilot and Azure land on Microsoft's deep enterprise advantage, and the AI in Teams and Outlook already "reads what you want to write." Why it's worth watching — while others are still debating whether the spend will ever pay off, Microsoft is already showing real monetization, a very different storyline from its peers.

We genuinely recommend watching the full replay to fill in the market-structure and AI CapEx piece so many people overlook — it's the key to understanding this pullback. Take your time; there's more here than you'd expect.

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💡 Watch it to the end and follow us — the more you dig in, the more you'll take away. See you in the comments!

(For education only, not investment advice.)

Full replay 👉 2026 Q2 Earnings Review: Big Tech, AI CapEx & Why Tech Stocks Pulled Back

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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Comment（3）

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  • Tiger 123
    ·08-22
    The first half of 2026 had already priced enormous growth into AI infrastructure stocks. Memory, semiconductors, equipment and related names had risen dramatically. Morningstar notes that some AI hardware stocks had appreciated 2x, 3x or even 4x before earnings. Consequently, merely reporting “excellent” numbers wasn’t enough anymore — companies effectively needed to beat already extraordinary expectations and raise the outlook.
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  • Jerry Lam
    ·08-21
    我最大的收获是：现在看AI巨头，不能只看Capex有多大，而要看谁最先把Capex变成收入和现金流。

    微软相对更容易理解，因为Copilot、Azure、Teams、Outlook本身就有成熟的企业客户和付费渠道，AI不是从零开始找商业模式，而是在原有生态里直接提高客单价和黏性。

    这也解释了为什么“财报强但股价跌”并不矛盾。市场已经从 “谁敢花钱做AI”，进入 “谁能证明花的钱有回报” 的阶段，再叠加利率和仓位拥挤，单纯超预期已经不够。

    一句话：下一阶段AI投资，比的不是Capex规模，而是变现速度和自由现金流。

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  • quixzi
    ·08-21
    Google looks clearer to me; search integration feels more direct than Microsoft, and Amazon cloud monetization also seems easier to track.
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