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Can AI replicate us? - Esomar Awards Winner

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What happens when you run more than 100,000 synthetic simulations to test whether AI can really model people, culture, and behaviour? Adriana Rocha from Wortya shares the award-winning research project that stress-tested LLMs across Peru, Brazil, and the US—and what it revealed about the limits of synthetic research.

In this episode of Talking Insights, Antonio speaks with Adriana about Future Not Oracle, an Innovation Award-winning study built to examine how well AI can represent people and markets. Across three phases, the project tested different models and data combinations, including demographics, psychographics, cultural context, behavioural data, and grocery purchase data.

Adriana shares why adding more data doesn’t always improve results, how cultural context can be missed, and why researchers need to be specific in how they question and guide AI. She also reflects on the industry’s rapid shift from early experimentation to real-world adoption—and makes the case that AI can help researchers take a more strategic role, not replace them.

For anyone working in insights, market research, or AI, this is a practical look at where synthetic research shows promise, where caution is needed, and why researchers remain essential to evaluating the results.

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Talking Insights is a Research World and Esomar production. 

Hosted by Antonio Almeida

Music by FreeMusicForVideo from Pixabay

Graphics by Brandon Heim

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