Jevons paradox
Coverage of Jevons paradox in the Nexus archive.
- As AI creates more entrepreneurs and a skills mismatch, Gen Z faces the choice of being a specialist or a ‘general-purpose nerd’
Gen Z faces a skills mismatch as AI drives demand for specialized talent while entry-level corporate jobs decline. The labor market shows surging openings in AI-related fields but struggles with talent shortages, while entrepreneurship tools enable solopreneurs. Economists highlight diverging career paths between specialists and generalists.
- Nearly a third of workers admit to sabotaging their company’s AI—and smaller paychecks may explain why
A study by Apollo Global Management suggests AI adoption is causing wage compression rather than job losses, with workers resisting AI due to fears of reduced pay. Economist Torsten Slok shifted his analysis from predicting AI-driven job creation to highlighting slowed wage growth in AI-exposed occupations.
- The most reassuring argument about AI and jobs quietly explains why Gen Z can’t get one
Wolters Kluwer, a Dutch software company, argues AI won't eliminate jobs due to the 'lump of labor fallacy' and Jevons Paradox, explaining AI shifts tasks rather than replaces jobs. Legal teams now seek AI-trained junior professionals to validate AI outputs and manage workflows, as efficiency gains increase client expectations rather than reduce demand for services.
- Tokens are getting cheaper, but companies are spending even more on AI as a result, top economist warns
The cost of AI tokens has dropped over 90% since 2023, but corporate spending on large language models has doubled, driven by increased usage despite lower unit costs. Economists warn this reflects Jevons paradox, where efficiency gains lead to higher overall consumption, as companies automate more workflows and deploy AI extensively.