AI can change your price and speed science. Who gets the gain?

The same word, efficiency, can hide two very different experiences. CBS examines the prospect of AI-enabled individualized pricing: a retailer can learn what different shoppers may be willing to pay while the shopper loses a stable point of comparison. It cites a 2025 Instacart experiment. Consumer Reports' corrected finding is a maximum 23% price difference for a single item in its synchronized tests, not for an entire basket; CBS's basket wording should not be repeated as fact. Instacart says the test did not use personal characteristics to set prices, disputes the annualized family-cost estimate, and ended the item-price experiment in December 2025. Walmart also denies using personal data to set individualized prices; patent filings alone do not establish deployed practice. In a separate peer-reviewed Scientific Data study, researchers used four language models to screen biomedical datasets across three repositories and disease settings. They report a median screening time of six minutes, with the best individual models reaching held-out sensitivity around 88% to 93% and specificity varying from 85.1% to 99.1%. Ensemble decisions reached 100% sensitivity in the evaluated settings, not a general guarantee. These are separate technologies and evidence streams, not one causal story. Put together, they make a sharper question: when AI cuts friction, does the benefit reach the person whose life is affected? A shopper needs transparent, comparable prices; a scientist needs auditable false negatives and human review. Speed alone cannot answer either question.