According to the source, a new study finds large language models can mirror human purchase intent with near-survey accuracy, suggesting synthetic shoppers could replace real respondents in market research, which points to faster testing cycles and lower costs for consumer insights. According to Reuters, AI-related crypto tokens have historically rallied on major AI catalysts such as breakthrough model results and marquee earnings, so traders may monitor AI narratives for momentum in the crypto market if adoption headlines around synthetic consumer testing accelerate.