AI's Hidden Threshold: Demand Explodes

The Jevons Paradox, an economic principle from 1865, is now profoundly influencing the artificial intelligence sector. Initially observed regarding coal consumption, it describes how efficiency improvements can paradoxically lead to increased overall usage due to lower costs and expanded applications. This phenomenon is evident in AI, where rapid price drops in running large language models are accompanied by a surge in revenue and computing demand for companies like OpenAI.

Technological advancement, as outlined by the S-curve model, progresses from slow adoption to explosive growth, then saturation. AI, particularly through accessible platforms like ChatGPT, has crossed a 'hidden threshold.' This point signifies a shift from elite, specialized use to widespread public accessibility, unlocking massive latent demand that surprised even the creators of these technologies.

While AI's growth is currently explosive, S-curves eventually flatten. Fundamental limitations, rather than just regulation or energy concerns, will cap AI's leverage on many problems. The future will likely see a new technology, currently in its nascent stage, emerge and surprise with its own demand explosion once it crosses its own hidden threshold, a pattern repeated throughout technological history.