Money as Algorithm: Why Computer Science and Economics Solve the Same Problem

At its core, computer science and economics are solving the same problem: how to optimize outcomes under constraints. In this episode, Alex and Philipp pick up a conversation about what money actually is — not as a financial instrument, but as an information-processing algorithm. Starting from the observation that the German word *Informatik* captures something the English "computer science" misses, Alex argues that what he has spent thirty years doing is identifying the optimization logic underneath systems — and that money, viewed this way, is simply one solution among several to the problem of coordinating human activity when information is expensive to store, transmit, and process.

The conversation moves through a series of precise analogies: between money and packet routing, between currency and token ring networks, between property ownership and the limits of what can be epistemically tracked. Alex and Philipp examine what changes when those information constraints disappear — when transaction costs approach zero and granularity becomes unlimited. The implications reach from Marx's concept of alienated labour to the function of stock exchanges, from the logic of ETFs to the structural risk of centralized digital systems. The episode ends with a two-by-two matrix and an open question: if digital-centralized already beats everything analog, what does the path to digital-decentralized actually look like — and does anyone have an interest in getting there?

- Why the definitions of computer science and economics converge: both are frameworks for solving optimization problems under constraints

- Money and bureaucracy as parallel algorithmic responses to scarce information — and why neither has ever worked in isolation

- The token ring and packet routing analogies: what network architecture reveals about how money distributes access to shared resources

- Micro-shares as an alternative to ownership: how eliminating information constraints could restructure property, labour compensation, and economic crises

- The two-by-two matrix: centralized vs. decentralized, analog vs. digital — and the risk that digital-centralized systems outcompete analog markets before digital-decentralized ones exist