The text discusses the complexities of various artificial intelligence (AI) use cases by categorizing them into three distinct types: Gods, Interns, and Cogs. Gods represent super-intelligent entities working autonomously, requiring immense resources to develop but creating significant impact through regulation and funding possibilities. Interns, on the other hand, are collaborative tools used by experts to aid in repetitive tasks, while Cogs are specialized functions designed to execute specific tasks with high efficiency and low error rates. This classification simplifies the understanding of AI applications and helps navigate the confusion surrounding the field.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Classification of AI Use Cases | From confusion to clearer categories | Easier navigation of AI landscape | Demand for efficiency in AI usage |
| Emergence of Super-intelligent AIs | From human labor to autonomous entities | Increased reliance on AI for decision-making | Pursuit of breakthrough technology |
| Rise of AI Copilots in Various Fields | From isolated tasks to collaborative tools | Enhanced productivity across professions | Need for improved workforce efficiency |
| Development of AI ‘Cogs’ | From general functions to specialized roles | Streamlined AI integration in operations | Automation of repetitive tasks |
| Toys as AI Tools for Non-experts | From complex systems to user-friendly interfaces | Ubiquitous access to AI capabilities | Entertainment and engagement desires |