Why Every Hype Cycle Produces the Same 25 Roles

The structural argument

Every emerging technology ecosystem requires a predictable set of functions to mature. Someone must build the foundational technology. Someone must commercialize it into products that non-technical buyers will actually pay for. Someone must explain it to the people who don't have time to read the whitepaper — and evaluate it critically for the ones who do. Someone must fund the whole thing and connect the people who otherwise wouldn't find each other. Someone must negotiate the technology's relationship with existing legal and regulatory structures. And someone must provide the infrastructure on which everyone else runs — and profit from the price inefficiencies that immature markets always contain.

None of these functions are optional. An ecosystem without builders doesn't scale beyond a research paper. Without educators, adoption stays niche. Without capital, promising ideas die in the trough of disillusionment. Without legal navigation, promising ecosystems get shut down before they prove their value.

Six categories. 25 roles.

The 25 archetypes across six categories aren't arbitrary — they map to these six functional necessities:

Bitcoin vs. AI — same cast, different costumes

Consider the Tech Genius archetype. In the Bitcoin cycle, it's Satoshi Nakamoto and Vitalik Buterin — people who invented the foundational protocol. In the AI cycle, it's the authors of the Transformer paper and Ilya Sutskever. The role is identical; the names changed.

The Educator in the Bitcoin era was Andreas Antonopoulos — making cryptographic concepts accessible on YouTube before anyone else thought it was worth doing. In the AI era, it's Andrej Karpathy doing the same thing for neural networks. The monetization path (audience → courses → speaking → consulting) is structurally identical.

The Infrastructure Landlord in Bitcoin was Bitmain selling ASICs — whoever controlled the hardware controlled the margins. In the AI cycle, it's CoreWeave and Lambda Labs selling GPU compute. The insight is the same: in any gold rush, sell shovels.

The pattern holds across every category. The specific technologies differ. The archetypes don't.

Why most people pick the wrong role

Most people default into a role by identity rather than by fit. Someone who writes code becomes a Developer by default — even if their actual comparative advantage is explaining things (Educator) or building small autonomous products (Micro-Founder). Someone with a law degree becomes a Lawyer — even if their network and relationship skills are the real asset (Connector or Community Organizer).

The mismatch is costly because the roles have very different requirements for pain tolerance, capital, time horizon, and skill profile. A Scaler-type who tries to operate as a Micro-Founder will be bored and undercapitalize. A Freelancer-type who tries to build a VC-backed startup will resent the loss of autonomy. A Capital Provider who can't stomach the variance will exit at the bottom.

The assessment doesn't ask which role sounds good. It measures which one fits — based on what you can actually tolerate, what energizes you versus drains you, and what you've built so far.