Tech Stocks Are Down—Is It “Tech Rot” or Just Noise?
Author: Andrew Sather, Stephen Morris, and Evan Raidt
July 2, 2026
Duration: 47:50
Tech stocks dip and suddenly the media declares the bubble popped—“AI is over,” rates are killing growth, and data centers cost too much. Stephen and Andrew cut through the headlines and explain what’s actually going on: why broad labels like “tech rot” are mostly clickbait, and how small drawdowns get spun into a crisis narrative that can scare newer investors out of the market.
Then they get practical. You’ll learn why growth stocks react harder to interest rates, what it means when a stock is “priced to perfection,” and why volatility isn’t automatically “bad”—it’s often just the tuition you pay for playing the game. They also hit the SaaS/software selloff and how to think about rebounds without blindly chasing “cheap” charts.
What You Will Learn
How to separate media noise from real fundamentals
Why growth stocks are more sensitive to rates and discounting future cash flows
What “priced to perfection” means
How narratives can cascade into “spirals of doom”
A cleaner way to think about volatility
Timestamps
00:00 — “TechRot” headlines and doom narrative setup
05:19 — “40B to a trillion” AI numbers: why sloppy stats are a red flag
08:10 — Manufactured hype + IPO cycles
10:49 — The real question: AI ROI—does it ever show up?
12:06 — Where AI is useful vs. where it still breaks
16:05 — MAG7 snapshot & why “down” doesn’t automatically mean “broken”
18:01 — Downstream AI names volatility
22:09 — AMD vs. NVIDIA: valuation, PE, and why “priced to perfection” hurts
40:45 — SaaS wrap: case-by-case rebounds, Salesforce history, disruption playbooks
Resources Mentioned
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
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Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.
Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.
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