LLM usage

A study of one million user interactions and API calls with Anthropic’s Claude reveals AI adoption is highly targeted, with code generation leading usage. Consumers favor AI as a collaborative assistant, while enterprises seek automation for efficiency. However, AI performance degrades with task complexity, suggesting human-AI collaboration is key for intricate challenges. Realistic productivity gains, around 1-1.2%, should factor in validation and rework. The success of AI hinges on sophisticated prompt engineering and its ability to complement, rather than fully substitute, human tasks.