Chapter 35 — The Economics of Technology

Modern technology has three features that make digital markets different from traditional ones:

1. Network effects. The value of a product increases as more people use it. Facebook is valuable because your friends are on it. Uber is valuable because many drivers are nearby. These effects drive winner-take-all outcomes: once one platform achieves critical mass, competitors can't attract users away.

2. Near-zero marginal cost. Once a digital product is created (software, a streaming show, a search algorithm), serving one more user costs approximately nothing. This breaks the standard pricing model (P = MC would mean P ≈ $0) and favors subscription, advertising, and freemium business models.

3. Data as a production input. User data feeds algorithms that improve the product, which attracts more users, which generates more data. Google's search quality improves with every query. This creates a data flywheel that reinforces dominance.

35.1 Platform economics

A two-sided market connects two groups that benefit from each other's participation. Uber connects drivers and riders. Amazon connects sellers and buyers. Airbnb connects hosts and guests. The platform's value comes from facilitating the match — and the more participants on each side, the more valuable the platform.

Platform pricing is often asymmetric: one side is subsidized to attract the other. Uber subsidizes riders (low prices) to attract drivers (who earn from the rider demand). Social media is free for users (subsidized) to attract advertisers (who pay for access to the users).

35.2 AI and the labor market

Chapter 21 introduced three scenarios for AI and labor. Here we give them deeper treatment.

The augmentation scenario: AI makes workers more productive. Lawyers use AI for research; doctors use AI for diagnostics; programmers use AI for coding. Demand for human workers stays high because AI complements rather than substitutes for human judgment.

The displacement scenario: AI replaces entire categories of work — customer service, data entry, basic writing, translation, routine legal work. Prolonged unemployment for displaced workers.

The polarization scenario (most supported by evidence): AI complements high-skill work and substitutes for middle-skill routine work. Growth at the top and bottom; hollowed-out middle. This is the pattern that has been developing since the 1980s (Chapter 13, Chapter 21) — AI accelerates it.

35.3 The gig economy

The gig economy (Uber, DoorDash, TaskRabbit, Fiverr, Upwork) creates flexible work via platforms. The central regulatory question: are gig workers employees (entitled to benefits, minimum wage, unemployment insurance) or independent contractors (flexible but unprotected)?

The case for "employees": gig workers are economically dependent on the platform, have limited bargaining power, and bear risks (no benefits, income volatility, no safety net) that employees don't. Contractor classification lets platforms avoid labor costs.

The case for "contractors": gig workers value flexibility (choose when and where to work). Reclassification would raise costs, reduce flexibility, and potentially eliminate some gig opportunities entirely.

The debate is unresolved. California's AB5 tried to reclassify gig workers; Uber successfully lobbied for an exemption (Proposition 22). The EU is moving toward a "presumption of employment" for platform workers.

35.4 The Millbrook Innovation Hub

The Millbrook Innovation Hub — the public-private tech incubator on the edge of the MSU campus — opened in 2025 with 15 startups, mostly in data science, agtech, and healthcare analytics. It represents Millbrook's bet on the technology economy: that a small Midwestern college town can attract and retain tech talent.

The Hub's success depends on: network effects (enough startups to create a community), talent supply (MSU graduates), capital (venture funding, which is scarce in the Midwest), and public infrastructure (broadband, housing, quality of life). Whether the Hub becomes the nucleus of a thriving tech ecosystem or a well-intentioned failure that fades after the initial funding runs out is a question the next decade will answer.

Key terms recap: network effect — value increases with more users two-sided market — platform connecting two groups that benefit from each other zero marginal cost — serving one more digital user costs approximately nothing gig economy — flexible platform-mediated work; contractor classification debate AI and labor — augmentation, displacement, and polarization scenarios