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The article argues that AI is not leading to job losses as predicted; instead, companies are hiring more in new roles like engineering and sales, with Jevons paradox in effect.
The article observes that hard drives tend to be full regardless of size, drawing analogies to other areas like software optimization, technical debt, and personal scheduling, and suggests imposing artificial constraints to manage resources effectively.
Token prices have fallen dramatically but enterprise AI bills are rising due to increased token consumption from agents and background inference, illustrating Jevons paradox.
The tweet discusses Jevons paradox in the context of agentic engineering, suggesting that increasing efficiency of AI agents will increase demand for knowledge work rather than reduce it.
A discussion on how rapidly falling inference costs (280X for GPT-3.5-level in under 2 years) will lead to Jevons paradox, driving far more demand for AI and making multi-agent systems ubiquitous with cheaper open-source models.
Andrej Karpathy discusses how AI-generated software is increasing demand for software, referencing Jevon's paradox.
Cheaper AI technology is increasing demand and creating more jobs, with no evidence of widespread AI-related job losses, according to an Apollo report.
The tweet points out that although some believe AI will replace programmers, data shows demand for software engineers has actually surged. This may be because the cost of using AI (like Claude) is too high, prompting companies to prefer hiring human programmers.
A commentary highlights that AI's ability to find more security vulnerabilities will increase the need for human engineers to triage and fix them, predicting a security engineer boom.
Despite predictions that AI would replace customer service roles, offshore call center employment in the Philippines has nearly doubled over the past decade, illustrating Jevons paradox where AI-driven efficiency lowers costs and increases demand for such labor.
This essay applies Jevons Paradox to AI-powered Torah learning, arguing that as AI models like Yochai and Rav Dicta make Jewish texts freely accessible, demand for deep insight and human rabbinic guidance will paradoxically increase.
Anthropic CEO Dario Amodei shifts his narrative on AI's impact on employment from warning of job losses to citing the Jevons Paradox, suggesting that increased efficiency may expand demand for human labor.