The math used for training AI—minimizing the gap between an internal model and external reality—also governs economics. Successful economic agents (individuals, companies, societies) are those with the most accurate internal maps of reality, allowing them to better predict outcomes and persist over time.

The scenario where AI automation leads to a recession is economically incoherent. A recession requires a shrinking productive frontier, but AI creates an abundance shock. For this to cause negative growth, wealth holders would have to irrationally stop all consumption and, crucially, all investment.

The standard economic production function based on Capital and Labor is becoming obsolete. In an economy dominated by AI and robotics, a more useful model distinguishes between Hardware (physical labor, robotics) and Software (cognitive tasks, AI). This new framework better captures the value contributed by both humans and machines.

For the first time in history, AI could create a world where our ability to produce goods and services outstrips our capacity to consume them. This poses a fundamental challenge to traditional economic models built on scarcity and resource allocation.

The AI buildout won't be stopped by technological limits or lack of demand. The true barrier will be economics: when the marginal capital provider determines that the diminishing returns from massive investments no longer justify the cost.

The Industrial Revolution shifted economic power from land to labor. AI is poised for an equally massive transition, making capital, not labor, the primary driver and limiting factor of production. As AI increasingly substitutes for human labor, access to capital for machines and computation will determine economic output.

Beyond automating tasks, Emad Mostaque's "Intelligence Theory" suggests AI's deepest impact is shifting the foundational axiom of economics. Instead of scarcity, the new core principle is persistence: how complex systems (like firms or AIs) maintain themselves by accurately modeling and predicting reality.

In a future where AI agents are the primary economic actors, traditional currencies like the US dollar may become obsolete. Instead, compute itself will function as the ultimate store of value and medium of exchange, as it is the fundamental resource required for all AI activity.

As AI agents become primary drivers of value creation, the ability to command computation will define wealth. Stored energy, convertible into computation, will be the ultimate resource. This makes finite, sovereign digital energy proxies like Bitcoin increasingly relevant as a foundational asset.