Researchers Arvind Narayanan and Sayash Kapoor explain their influential "AI as Normal Technology" framework, which argues that AI should be understood through the lens of historical technology adoption rather than as an unprecedented superintelligence threat. They emphasize that AI's societal impact depends more on deployment
Table of contents
Normal doesn’t mean mundane or predictableA restatement of our thesisIf disappointment about GPT-5 has nudged you towards AI as normal technology, it’s possible you don’t quite understand the thesisWhy it’s hard to find a “middle ground” between AI as Normal Technology and AI 2027It is hard to understand one worldview when you’re committed to anotherReaping AI’s benefits will require hard work and painful choicesThe surreal debate about the speed of diffusionWhy AI adoption hits differentConcluding thoughtsFurther reading/viewingSort: