1. How to leverage general-purpose technologies to magnify your impact and produce your best work. 2. Why stocks could fall if AI fails to meet its lofty expectations, because earnings-per-share growth will disappoint.

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Show Notes

Episode 568 Slides

Ada Lovelace Already Answered the Big Questions About A.I. by Tala Schlossberg—The New York Times

How software engineering is changing: a tale of two eras by Gergely Orosz, Jessica Salmon, and Ivan Klaric—The Pragmatic Engineer

Transcript

Episode Transcript

Topics Include:

  • How to use AI to 10x your productivity and do your best work
  • Jeff Bezos at AWS re:Invent 2012: focus on what won't change
  • Building a 401(k) portfolio analysis tool with AI
  • AI as a general-purpose technology: Ada Lovelace and Licklider
  • How electricity, the internet and cell phones faded into the background
  • How many AI tokens does a heavy Claude user use per week?
  • What a $100 Claude Max plan really costs Anthropic
  • SpaceX's 6-gigawatt data center and AI power demand
  • Is there too much AI data center capacity? Chat vs. AI agents
  • Stock market risk: record analyst earnings growth forecasts
  • Fast earnings growth is followed by slower growth
  • How investors use AI: listener survey results
  • Ask the Archive: an AI chatbot built on our podcast archive - Why trusted sources matter for AI answers


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