OpenAI slashed the price of its GPT-5.6 Luna model by 80% and its Terra model by 20%, leading to a surge in usage that boosted revenue, according to TD Cowen analysts studying OpenRouter data. Luna's …
Wolters Kluwer, a Dutch software company, argues that AI will not eliminate jobs due to the lump of labor fallacy and Jevons Paradox, but it explains why entry-level hiring is struggling as AI automat…
AI is not replacing entire jobs but specific tasks, devaluing mechanical work while increasing the importance of judgment and unique skills. Professionals who rely on repetitive tasks lose out, while …
Token prices for large language models dropped roughly 80% between 2025 and 2026, but engineering teams are seeing AI bills explode due to the Jevons paradox—cheaper tokens drive much higher usage, es…
Global AI spending is accelerating as inference costs have dropped more than 98% since early 2023, with companies building 50 times more applications rather than reducing their AI budgets. The economi…
A reader corrected a columnist's argument that the AI industry's massive investment in larger models is misguided, pointing to economist William Stanley Jevons' 1865 observation about coal efficiency.…
The economic principle of Jevons Paradox explains why falling AI costs are increasing demand for human labor rather than eliminating jobs. As AI model prices dropped roughly 99% between 2020 and 2024,…
The AI job automation paradox, rooted in the 19th-century Jevons Paradox, shows that automating 90% of a task does not reduce work by 90% but instead increases total output demand. As AI lowers the co…
Jevons paradox, where increased efficiency in using a resource (like coal) leads to higher total consumption, and applies this concept to AI-assisted software development. It argues that by lowering t…