AI Hype Cycle or Revolution? Why We're Still in the Early Days

After 2.5 years of ChatGPT dominating headlines, Matt, Soham and George dive deep into the biggest question in tech: 

Are we witnessing the next revolutionary technology or heading for another dot-com style crash?

What We Cover:

The AI Bubble Debate
  • Why OpenAI makes $10B in revenue but still isn't profitable
  • Johnny Ive's mysterious $6.8B device deal - innovation or insanity?
  • How "wrapper" companies are getting billion-dollar valuations for prompt engineering
What's Actually Working vs. What's Still Hype
  • Why coding achieved true product-market fit with AI (while email writing didn't)
  • The 90/10 rule: AI gets you most of the way there, humans perfect the last 10%
  • Why the best developers from 5 years ago are also the best at using AI today
The Coming Hardware Revolution
  • Why we might be in "summer 2012 Bitcoin territory" - right before ASICs changed everything
  • How China's DeepSeek proves innovation happens under constraints
  • The specialized hardware breakthrough that could make AI incredibly profitable
Future of Work Reality Check
  • Why "AI will replace everyone" is wrong - but so is "AI changes nothing"
  • How to use AI without becoming dangerously dependent on it
  • The rise of AI loyalties: "We're a ChatGPT family, son"
White-Collar Work Revolution
  • Why law firms and accounting will be next after coding
  • The death of control+F - hello context search across 300-page contracts
  • How everything needs to become "LLM accessible" to stay competitive
Key Insights:

💡 "There will be two types of people: those who make LLMs smarter and those who teach them the world" - The future job market split
💡 "It's like having a junior developer who's incredibly good at syntax" - How to think about AI capabilities
💡 "Humans evolved through effort - the more you put in, the more you get out" - Why shortcuts backfire

Perfect For:
  • Young professionals wondering how AI will impact their careers
  • Anyone trying to separate AI hype from reality
  • Developers and tech workers navigating the AI transition
  • People considering which AI tools are actually worth learning
  • Those who want to understand where the technology is actually heading
This isn't another "AI will save/destroy the world" take. It's a practical analysis of what's working, what isn't, and how to position yourself for whatever comes next.

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AI Hype Cycle or Revolution? Why We're Still in the Early Days
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