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@invest091 we recorded this a couple weeks ago, and I really liked that we ended up NOT talking much about semiconductors and high tech. Thanks for taking the conversation that direction, this week we all need those first principle reminders!
Here are this week's CSI Youtube videos that you might have missed.
1. The Memory Boom’s Real Winner Isn’t Just SK hynix
2. Everything You Need to Know Before the Anthropic IPO
3. What Happens If Data Center Construction Stops?
All videos are linked in the comments.
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I started investing in 2005. Suffice to say I had a short window before I received my first ass whoopin' from the market.
In 2008, I was a mess. But I stuck with it. One of the very few GOOD decisions I made at that time was buying $V not long after the IPO.
Suffice to say that ALSO didn't go very well for quite a few months. But my premise was simple, and I kept reminding myself: "Visa doesn't actually lend any money!"
Things eventually worked out very well. But it required the proverbial "do nothing" approach. It also helped that I had other things to do rather than stare at a stock chart every day.
Data center operators can increase compute capacity without necessarily building new facilities.
Upgrading existing infrastructure across three key areas can help make this possible by power delivery, cooling systems, and building infrastructure.
For hyperscalers and other data center operators, retrofitting offers another path to expand capacity while leveraging existing facilities.
Watch the full analysis. Linked in the comments.
#AI #Investing
Who's shopping today?
Pretty hard to have an extended bear market when earnings are still in high-growth, and widely expected to continue that way into next year.
Investors in the so-called "AI trade" are nervous about midterm election results, and the possibility of a slowdown or halt in new AI data center construction.
This risk isn't new, nor is it an insurmountable obstacle. In fact, we discussed this risk with in late March on CSI Semi Insider all the way back in March (with special guest Jacob Goldstein, "What we can learn from the Luddites"). https://t.co/VUsaXETytA
Additionally, a slowdown or halt to new data center construction could even be viewed as healthy, and be the first sign that hyperscaler CapEx-to-revenu is about to peak in 2027. Join us this week on Chip Stock Investor for more on this discussion, or book a time to discuss these developing tech trends one-on-one. https://t.co/2K87x6Y7t1
How much revenue is Anthropic generating from its compute spending?
Revenue per dollar of compute reached $2.08 in Q2 FY2026 before easing to $1.72 in Q3.
Can this efficiency last as Anthropic scales?
Watch the full analysis. Linked in the comments.
#Anthropic#Investing
The question is does AMD's latest report strengthen the case for sustained growth, or do expectations already reflect much of the opportunity?
See what else we're watching in the Semi Insider Dashboard. Explore the free demo here: https://t.co/W9tUlmSWl2
$AMD : Revenue came in at $13.4B, up 45% YoY, with GAAP EPS of $1.46 and non-GAAP EPS of $2.09.
Here's how the results compare with expectations and what changed across the business.
As always, the guidance is what matters.
AMD expects Q4 2026 revenue of approximately $17B, plus or minus 3%, with non-GAAP gross margin of around 55%.
Management's results highlight continued Data Center momentum, while the next quarter will provide further insight into AI demand, revenue growth, and margins.
And Then there's $RDDT .
Reddit delivered strong Q3 revenue growth, but its Q4 guidance points to a slower growth rate.
As AI changes search, discovery, and internet traffic, the implications extend beyond Google and Meta to platforms that depend on advertising.
The question for investors: Who benefits from the next evolution of internet monetization, and who could be disrupted?
We explore more of companies, numbers, and implications in our latest video. Exclusive only for our CSI members. Join now to watch the full analysis: https://t.co/037aG492hf
Internet advertising is changing, and AI could reshape how some of the biggest platforms make money.
$GOOGL and $META are adapting to a new environment where AI is changing how people search, discover products, and interact with online content.
What does this mean for the advertising business?
$META tells another interesting part of the story.
Advertising revenue increased 26% YoY, supported by higher average ad prices. However, ad impression growth slowed to 8%, even as its platforms reached 3.64 billion daily active people.
Meta is also exploring how AI agents could change product discovery and online shopping, potentially creating new ways to monetize transactions beyond traditional ads.