To The Moon

Speaker: @Selina_Han_Insights (Founder of Han Insights, Former Cboe Economist, Holding a Ph.D. in Applied Economics from UIUC)

Live Date: August 21, 2026 (Live Review >>)

In this livestream, Selina Han unpacked why Big Tech's Q2 earnings looked strong across the board yet tech stocks — including AI leaders — sold off sharply through late July, walking through five very different AI CapEx strategies at Alphabet, Microsoft, Meta, Amazon and Apple, a hedge fund's forced unwind that rattled the whole AI trade, and what the Fed's next moves could mean heading into Jackson Hole.

Want a deeper dive? We broke this session down into 4 full recap articles, each covering a different piece of the puzzle>

• 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-To The Moon

Prefer to watch the highlights? Catch these key moments from the live session in short clip form>

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

• 【Livestream Clip 2｜Selina Han: Meta's Ads Are Improving, But Is Its AI Spend Worth It】

• 【Livestream Clip 3｜Selina Han: Everyone's Burning Cash on AI, Why Isn't Apple】

• 【Livestream Clip 4｜Selina Han: That Late-July AI Chip Selloff Wasn't Really About Earnings】

🐯💬 Join the discussion: Share your market view or questions below. Every useful and thoughtful comment will receive Tiger Coins!

🎯 5 Key Takeaways

• Six weeks of overlapping catalysts — FOMC, payrolls, CPI, and a wall of Big Tech earnings — drove the S&P 500 down -1.1% total return between Jun 20 and Aug 18, even though Q2 earnings themselves were broadly strong.

• All five Big Tech names raised or reaffirmed aggressive AI CapEx, but the market rewarded them very differently: $Microsoft(MSFT)$ (+13.7%) and $Alphabet(GOOG)$ (+13.1%) held up best over three months, $Meta Platforms, Inc.(META)$ fell -11.1% despite the strongest ad revenue growth, and $Apple(AAPL)$'s capital-light approach only managed +4.1%.

• A separate, non-fundamental shock hit AI-adjacent names in late July: a concentrated, leveraged hedge fund (Situational Awareness, founded by ex-OpenAI researcher Leopold Aschenbrenner) was forced to liquidate after margin calls, dragging six unrelated AI-linked stocks down together before Citadel stepped in to buy the position.

• Selina's framework treats AI CapEx as fundamentally different from normal operating expense — it's a bet that infrastructure spend eventually converts into AI services, revenue growth, and cash flow, not a guaranteed one.

• The next major catalyst is the Jackson Hole Economic Policy Symposium (Aug 27–29) — not a rate decision itself, but a chance for the Fed to shape expectations ahead of the Sept 15–16 FOMC meeting.

📊 Six Weeks That Moved the Market

The FOMC held rates steady on Jul 29 (though three members favored a hike), payrolls came in stronger than expected on Aug 1 (easing urgency for cuts), CPI cooled on Aug 12 (reviving rate-cut hopes), and FOMC minutes on Aug 19 turned cautious again. Layered on top, all five Big Tech companies reported Q2 earnings within about two weeks of each other — several alongside major AI CapEx announcements — turning late July into one of the more volatile stretches of the year.

🖥️ Five Companies, Five Very Different AI Bets

$Alphabet(GOOG)$ is playing across three time horizons — Search (cash flow today), Cloud (growth today), Gemini (optionality tomorrow). $Microsoft(MSFT)$ is already the clearest monetizer, converting Azure and Copilot adoption into visible recurring revenue. $Meta Platforms, Inc.(META)$'s AI-driven ad flywheel is working, but $130–145B in FY2026 CapEx guidance compressed free cash flow to just $784M and triggered the worst stock reaction of the five (-11.1%). $Amazon.com(AMZN)$ plays both sides — AWS sells AI infrastructure to everyone else while Retail, Logistics and Alexa use it internally. Apple stands apart entirely, keeping CapEx "Selective" and betting on ecosystem lock-in and on-device AI instead of a data-center race.

📉 The Hedge Fund That Broke the AI Trade

A single concentrated, leveraged fund's forced selling explains why AI-adjacent names like memory and chip stocks fell so much harder than earnings alone would justify. Situational Awareness had returned +439% in H1 2026 on a high-conviction bet on AI infrastructure suppliers — until margin calls forced liquidation, causing a reported -67% reversal with roughly 56% of its public portfolio concentrated in just two stocks. Selina's read: it wasn't a fundamentals problem, it was concentration and leverage — a reminder that even a strong thesis can go wrong at the position-sizing level.

🏦 What's Next:

Jackson Hole and September Interest rates are the discount rate behind stock valuations, which is why every FOMC, payrolls, and CPI print moved the market so much this cycle. Jackson Hole (Aug 27–29) isn't a rate decision, but it's the Fed's key chance to signal tone ahead of the Sept 15–16 FOMC meeting. Selina's framework for what comes next: strong AI earnings + a cooling economy + easier Fed policy would support growth stocks further; sticky inflation + higher-for-longer rates + already-elevated AI valuations would risk another valuation reset.

🔍 Discussion Highlights

• On where the money rotated during the pullback: Selina pointed to real-time evidence in $Alphabet(GOOG)$'s own CapEx breakdown — heavy data-center allocation, yet data-center-linked stocks have lagged even after the hedge-fund story passed, partly due to state-level pushback over data centers' water and electricity usage.

• On whether this is an AI bubble: Selina's view is it's too early to call — chip makers, memory makers, and power companies haven't finished fulfilling existing demand yet. The more useful lens is picking winners and losers within the buildout, or diversifying via ETFs rather than concentrating into single names.

💬 Words from Selina Han

"It's not about who spends the most on AI — it's who converts that spending into earnings and ROI."

"AI CapEx is not just spending — it creates assets that support future growth."

"If a stock has already gone up 10 times, why would you join the party at the peak?"

🐯 Your Turn: Join the Discussion

Share your view on one of these questions:

• Which of the five Big Tech AI strategies do you find most convincing — Alphabet's three-horizon bet, Microsoft's monetization engine, Meta's expensive flywheel, Amazon's picks-and-shovels model, or Apple's capital-light contrarian approach?

• Do you think the late-July selloff was mainly a hedge-fund liquidity event, or a genuine repricing of AI CapEx risk?

• Where do you think the S&P 500 heads after Jackson Hole — does the Fed's tone support growth stocks, or set up another valuation reset?

• Would you rather own the AI "spenders" (Meta, Alphabet) or the AI "sellers" (Amazon's AWS, chip/memory suppliers) from here?

🎁 Every useful, thoughtful, and well-explained comment will receive Tiger Coins.

Let's compare different views and learn from one another.