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The AI Gold Rush: Why the Shovel Sellers Are Winning (and the Miners Are Going to Starve)

  • Writer: Mark Kendall
    Mark Kendall
  • Jan 20
  • 3 min read


The AI Gold Rush: Why the Shovel Sellers Are Winning (and the Miners Are Going to Starve)



by Mark Kendall — Learn · Teach · Master


Today I read that 50,000 people are cloning themselves so they can “scale their knowledge,” “monetize their wisdom,” and “build passive income with AI versions of themselves.”


Which sounds impressive until you ask one small, inconvenient question:


Scale… to sell what, exactly?


Because here’s the part nobody likes to talk about.


Most of these clones don’t have a platform.

They don’t have customers.

They don’t have products.

They don’t have jobs lined up for their clones.


They just… have a digital version of themselves.


Congratulations. You’ve created the world’s most advanced voicemail.





The Oldest Trick in Every Gold Rush



This isn’t new.


In every gold rush, the people who got rich weren’t the miners.


They were the ones selling:


  • Shovels

  • Pans

  • Tents

  • Jeans



While everyone else went into the mountains chasing dreams and came back tired, broke, and slightly delusional.


AI is no different.


Right now, everyone is selling:


  • “Clone yourself” tools

  • “Build your AI twin” platforms

  • “Monetize your knowledge” courses



They’re not selling gold.


They’re selling shovels.


And the business model is perfect:

If you fail, it’s your fault — not the shovel.





A World Where Everyone Sells and Nobody Builds



Let’s take this to its logical conclusion.


If 350 million people all sit around:


  • Selling courses to each other

  • Coaching each other

  • Cloning each other

  • Monetizing “personal brands”



…who exactly is:


  • Building software?

  • Running hospitals?

  • Designing networks?

  • Shipping products?

  • Running companies?



If everyone is an influencer,

who is doing the actual work?


An economy cannot survive on motivational speeches and subscription newsletters.


At some point, somebody has to:


  • Write the code

  • Fix the pipeline

  • Secure the platform

  • Design the system

  • Deliver the service



Hype machines don’t produce GDP.


They produce noise.


And noise eventually starves.





The Part That Actually Matters: Learning Machines, Not Ego Machines



Here’s where I part ways with the cloning crowd.


I don’t want an AI version of me selling my personality.


I want learning machines.


Machines that:


  • Teach real skills

  • Explain real systems

  • Train real engineers

  • Help people get real jobs

  • Help companies build real products



Because in the future, people are still going to need:


  • Income

  • Careers

  • Corporations

  • Engineers

  • Architects

  • Operators



The future is not 8 billion personal brands selling advice to each other.


The future is:


Humans + learning machines building real things.


That’s where the money is.

That’s where the stability is.

That’s where the dignity is.





Why the Clone Hype Will Collapse



Here’s the uncomfortable truth:


Most cloned experts will discover three things very quickly:


  1. Nobody knows who they are

  2. Nobody wants to pay their clone

  3. Their clone competes with 10 million other clones



When supply goes infinite, price goes to zero.


An AI clone of “generic wisdom” is worth exactly what generic wisdom has always been worth:


Almost nothing.


The only clones that will survive are:


  • People with real audiences

  • Real platforms

  • Real demand

  • Real businesses behind them



Everyone else just bought an expensive mirror.





My Rule of Thumb (Stolen From 20 Years in Architecture)



Here’s the rule I live by:


If it doesn’t help someone build, ship, operate, or earn —

it’s probably hype.


Clones are interesting.


Learning machines are transformative.


Ego scales fast.


Education scales forever.





Final Thought: Don’t Chase the Gold Rush — Build the Mine



The smartest people in this cycle are not:


  • Cloning themselves

  • Selling hype

  • Racing to be first



They’re quietly building:


  • Training systems

  • Enterprise learning agents

  • Developer copilots

  • Knowledge platforms

  • Teaching machines



Because when the hype collapses — and it will —


Companies will still need:


  • Skilled people

  • Trained engineers

  • Working systems

  • Real output



And the people who built the mines will still be standing.




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