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E17: Google - Bull, Bear, or Dodo? + Diversification Dilemma

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Manage episode 431488414 series 3589623
Content provided by Krzysztof and Luke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krzysztof and Luke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Is Google $GOOGL a bear, a bull or a dodo? Badger buys more, Monkey screeches Be Careful!

Meta $META was in a similar position not too long ago, but it has an impenetrable social network moat. Can the same thing be said of Google’s data in a time of AI with companies building language models from the ground up and redefining search?

Monkey explains this quandary is what the “too hard bucket” is for, whereas Badger remains confident in his fundamental understanding of the business.

We also answer a 7investing discord member who wonders whether allocating a majority of his portfolio to four companies is too concentrated. The devil is in the details and the answer is not so simple. Remember, cash is a position, too, and it’s hard to become wealthy, but also hard to stay that way.

Badger’s skiing season is being funded by some unsuspecting poor Lake Tahoe poker players. Should Monkey be worried about his upcoming visit to Austin’s card rooms?

Want to become a better investor? Download the 10 Laws of the Jungle at wallstreetwildlife.com.

---

Fed up with the stock market giving you a hard time? - Invest like seasoned pros with over 40 years in the game

- Discover the world's leading companies

- Sharpen your best investing practices and ditch the worst

- Learn how to start investing

- Essential investing principles to boost your returns

--- investing in stocks for beginners, stock trading for beginners, stocks and shares for beginners, investing 101, learn how to invest, stock market for dummies

---

Follow us on X at @7lukehallard and @7flyingplatypus

  continue reading

122 episodes

Artwork
iconShare
 
Manage episode 431488414 series 3589623
Content provided by Krzysztof and Luke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krzysztof and Luke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Is Google $GOOGL a bear, a bull or a dodo? Badger buys more, Monkey screeches Be Careful!

Meta $META was in a similar position not too long ago, but it has an impenetrable social network moat. Can the same thing be said of Google’s data in a time of AI with companies building language models from the ground up and redefining search?

Monkey explains this quandary is what the “too hard bucket” is for, whereas Badger remains confident in his fundamental understanding of the business.

We also answer a 7investing discord member who wonders whether allocating a majority of his portfolio to four companies is too concentrated. The devil is in the details and the answer is not so simple. Remember, cash is a position, too, and it’s hard to become wealthy, but also hard to stay that way.

Badger’s skiing season is being funded by some unsuspecting poor Lake Tahoe poker players. Should Monkey be worried about his upcoming visit to Austin’s card rooms?

Want to become a better investor? Download the 10 Laws of the Jungle at wallstreetwildlife.com.

---

Fed up with the stock market giving you a hard time? - Invest like seasoned pros with over 40 years in the game

- Discover the world's leading companies

- Sharpen your best investing practices and ditch the worst

- Learn how to start investing

- Essential investing principles to boost your returns

--- investing in stocks for beginners, stock trading for beginners, stocks and shares for beginners, investing 101, learn how to invest, stock market for dummies

---

Follow us on X at @7lukehallard and @7flyingplatypus

  continue reading

122 episodes

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