A theory I’ve come up with – the discontinuity thesis

Exploring the Discontinuity Thesis: A New Perspective on AI’s Economic Impact

As advancements in Artificial Intelligence accelerate, many are pondering how these developments will reshape our societies and economies. Recently, I’ve been formulating a theory I call the Discontinuity Thesis, which offers a fresh lens through which to view the ongoing AI revolution. I’d like to share this framework and invite your insights on its validity.

Introducing the Discontinuity Thesis

At its core, this theory suggests that AI’s progression represents more than just a technological upgrade; it signifies a fundamental shift—an abrupt and profound discontinuity—in how economic and cognitive systems operate. Unlike previous industrial revolutions that mechanized physical labor, AI is now automating cognition itself, which could lead to unprecedented disruptions.

The Underlying Logic

Here’s a summary of the core reasoning:

  • Competitive Dynamics: When AI-enhanced systems and humans compete, AI often outperforms human efforts, leading to widespread job displacement. I believe we’re approaching a critical tipping point in this process very soon.

  • Economic Stability Risks: Post-World War II capitalism relies heavily on employed populations to sustain consumer spending and economic vitality. If mass employment isn’t restored swiftly, economic stability could be compromised.

  • The Prisoner’s Dilemma in a Global Context: On a broader scale, nations and corporations are caught in a kind of multiplayer prisoner’s dilemma—no one can afford to slow AI development without risking falling behind, which accelerates the displacement process.

Comparing AI to Complexity Theory

I’ve also drawn parallels to computational complexity theory, particularly the P vs NP problem. Essentially, AI transforms complex problems (NP) into ones that are trivial to solve once an algorithm or model is in place. What remains is verifying these solutions—something that can often be delegated to humans or automated systems, creating an elite class of verifiers that oversee and authenticate AI outputs.

Your Feedback and Insights

Am I overlooking something fundamental? This idea has been discussed with a few peers and tested against various perspectives, but I’d value input from anyone knowledgeable about AI development, economics, or related disciplines.

For a more detailed exploration of the Discontinuity Thesis, you can read my full write-up here: https://discontinuitythesis.com/


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