The real test for any AI application is not the demo. It is the sixth month. Tech reporter and "I Am Not a Robot" author Joanna Stern spent a year integrating dozens of AI tools into her daily life, then measured what stuck. The result was a field of one.
What the experiment reveals
Stern's methodology was accumulation followed by attrition. Dozens of AI applications entered her workflow over the course of the year. The constraint is familiar to any product evaluator: tools that feel essential early often become friction later. Sustained daily use is the filter, and it exposes whether a tool reduces cognitive load or simply relocates it.
The evaluation carries weight because of who ran it. Stern wrote "I Am Not a Robot," placing her in the specific lane of human-AI interaction reporting. A year-long personal audit from that position is a different instrument than a first-look review.
The retention number
Of dozens of applications tested, one emerged as the tool Stern says she will keep. The ratio is the telling figure. A field of dozens narrowed to a single application over the course of one year.
Consumer AI churn runs high, and Stern's exercise reflects a pattern that download metrics and active-user counts tend to obscure. The tool that survives extended real-world use is not chosen by demo quality. It earns its place through daily friction, or the absence of it.