AI Labor and Economics

This page tracks AI strategy, labor-market effects, junior engineering, data-market shifts, and Jevons-paradox-style demand effects.

Sources in this batch

• Canada’s National AI Strategy gives policy context.
• Shopify’s junior-engineer hiring stance contrasts with narratives of AI replacing entry-level developers.
• ClickHouse argues AI is reshaping the database market.
• Citrini Research’s “2028 Global Intelligence Crisis” is a forecast/market-intelligence source.
• Mike Grouchy applies Jevons Paradox to AI-enabled software development.

Research interest

The surprising hypothesis is that AI may increase demand for some forms of software labor by lowering marginal cost and expanding scope, rather than simply substituting for humans. This is empirically testable: track hiring, project volume, code review burden, junior ramp-up, and infrastructure spend as agent tools improve.

Open questions:

• Does AI raise or lower the value of junior engineers over multi-year horizons?
• Which markets expand because AI makes new workflows feasible?
• What leading indicators would distinguish substitution from Jevons-style demand expansion?

Related

• coding-agents-and-skills
• ai-data-infrastructure
• local-ai-hardware-and-inference

Remainder-batch update

New related sources include Dallas Fed productivity commentary, Nvidia/OpenAI market-structure analysis, and policy/geopolitics sources. See ai-semiconductors-and-geopolitics.

Updated: 2026-06-27