Simile recently raised $100 million to develop AI tools aimed at predicting human behavior, according to a Bloomberg report. The company emerged from stealth mode after months of refining its AI model, which is based on interviews with hundreds of individuals as well as historical transaction data and academic texts on behavioral experiments. Simile's technology aims to simulate decision-making processes by using AI agents that reflect real people's preferences. Businesses may find this approach a valuable alternative to traditional focus groups for understanding consumer behavior. CVS is currently testing Simile's service to optimize product selection and display. The report highlights a growing concern about whether AI can accurately capture the cultural and social factors influencing human decisions, which traditional AI often overlooks. Research from the University of Washington suggests that AI could become more contextually aware by learning from people's behaviors across different cultural settings. In related developments, conversational AI is increasingly replacing traditional search methods in various sectors, including shopping and finance. Data from PYMNTS Intelligence indicates that "power users," those who engage heavily with AI-driven tasks, reported a significant uptick in replacing old search techniques with AI. Among mainstream users, the shift from traditional to AI-driven methods climbed from 22% to 30% in just one month. This trend points to a broader acceptance of AI in everyday decision-making processes.