The New Jobs AI Will Create

What It Covers

The AI jobs debate focuses almost entirely on labor displacement while ignoring demand expansion. This episode argues that AI creates six forms of demand elasticity — price, access, complexity, continuity, personalization, and relational — plus seven "human premium" categories that protect new roles even under AGI scenarios, using healthcare as a concrete case study.

Key Questions Answered

• •Lump of Labor Fallacy: Most AI job-loss predictions assume demand stays constant as AI increases labor supply — a historically false assumption. Recognizing that demand expands in response to supply shifts reframes the entire debate. Practitioners should analyze which of six demand elasticity types apply to their sector before concluding AI eliminates net employment.
• •Six Demand Elasticity Types: Price elasticity (too expensive), access elasticity (too scarce), complexity elasticity (too confusing), continuity elasticity (occasional vs. always-on), personalization elasticity (generic vs. custom), and relational elasticity (transactional vs. human-meaningful) each represent distinct growth vectors. Identifying which elasticities dominate a given sector predicts where new roles will emerge post-AI adoption.
• •Affordability vs. Possibility Unlocks: AI creates two distinct demand expansions. The affordability unlock delivers existing services to new buyers — a $5,000 design project becomes $500, activating millions of small businesses as first-time agency clients. The possibility unlock creates entirely new service models, like continuous preventative healthcare, that were operationally nonviable before AI reduced the underlying informational cost layer.
• •Seven Human Premium Categories: Even when AGI can perform a task, seven value dimensions remain attached to human delivery: relationship, embodied presence, trust, accountability, translation, behavior change, and provenance. These categories answer why AGI won't automatically eliminate new AI-enabled roles — demand for human-delivered versions of services persists independently of AI capability levels.
• •Healthcare Job Projections: A continuous preventative care model enabled by AI could generate 276,000 to 1.2 million net-new "continuous care navigator" roles in the US alone — comparable in scale to all high school teachers nationally. Additional roles include care plan outcome specialists and health data operations specialists, each protected by accountability, trust, and translation human premiums.