Stephen and Andrew ignore the headlines and the Twitter drama and look at Tesla the company — the EVs, the $30 billion robotaxi bet, the robots, and a balance sheet holding roughly $44 billion in liquid assets. Both are bullish on the business. Neither will touch the stock at $393 with a trailing PE over 300. Along the way: Stephen's biggest investing regret (an Army signing bonus that could have bought Tesla at the IPO), why Andrew isn't shaking his 11% Uber position, and the question hanging over it all — how much of the Tesla bear case is just feelings about Elon?

What You Will Learn

Why letting personal bias about a CEO dictate allocation destroys wealth

The story of Stephen's Tesla IPO miss — and what it taught him about IPOs

What Tesla's $30B in new financing is really funding (robotaxis, semis, robots)

The robotaxi debate: constitutional concerns vs. the unit-economics reality

Why Tesla's balance sheet looks like Apple's — and why Moody's disagrees

Where to draw the line between investing with your conscience and investing on vibes

Timestamps

00:00 – Why we're talking Tesla (and ignoring all the drama)

02:00 – Confession: the Jeep guy loves EVs

06:00 – Stephen's biggest regret: the IPO that got away

10:00 – Tesla today: $30B financing, new mission statement, Megapack

15:00 – Robotaxis: Stephen's concerns vs. Andrew's Uber bull case

25:00 – Valuation check: $393 stock, 331 PE, waiting for $275

37:00 – The $44 billion balance sheet

40:00 – "I'm not looking at him as my friend, I'm looking at him as an ATM"

47:00 – Can legacy automakers catch up?

51:00 – Robots building robots, and why optimism wins

Resources Mentioned

The Value Spotlight Newsletter: ⁠https://einvestingforbeginners.com/value-spotlight-newsletter⁠/

Have questions or want your story featured? Email the show at ⁠newsletter@einvestingforbeginners.com⁠ or comment below. Your feedback shapes the podcast!

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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