We still don’t know how people are really using AI

Quick take

AI companies like Anthropic and OpenAI provide data on how users engage with their language models, including Claude and ChatGPT. However, the information they share is selective and self-reported, without independent verification. AI researchers such as Anka Reuel from Stanford highlight the absence of neutral, external sources to confirm usage patterns or user behavior. This leaves a significant transparency gap about what people actually do with AI systems.

Why it matters

Without clear, independently verified data on AI usage, operators and investors face uncertainty when evaluating product impact and risk. Companies controlling usage statistics hold a powerful narrative advantage that can shape market expectations or regulatory discussions. For builders and businesses, this opacity makes it harder to identify real-world adoption trends, optimize product features, or develop competitive strategies. It also raises flags about accountability and trust in an environment where AI decisions increasingly influence operations and customer interactions.

AI Quick Briefs Editorial Desk