Josh Speyer
Josh Speyer is the founder and CEO of StatGenius, an AI-powered quant research copilot and the developer of the world’s first “PhD in a Box”.
June 9 @ 6:40 pm – 7:00 pm BST
This live webinar is part of the Demo Days for Research & Analytics Tools June 2026.
Josh Speyer unpacks synthetic panels, exposing AI sample risks, black-box bias, and the illusion of precision in research today.
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Synthetic respondent panels are flooding the market. Should researchers trust them? A technical look under the hood.
Synthetic respondent panels promise faster, cheaper sample at the scale researchers have always wanted. But what are you actually buying when you purchase AI-generated data, and is it appropriate for market research insights?
In this session, Josh Speyer offers a technical breakdown of how synthetic panels work, without the marketing hype. Drawing on a background in AI engineering and market research, he walks through the technical realities, math, and outcomes of using respondent models for consumer and market insights.
It covers the core problems with synthetic respondent data: the black box problem inherit in LLM-based panels, the illusion of sample precision, the false individuality of AI-generated respondents, and what widespread adoption could mean for the insights profession.