Jason Cohen
Founder, Simulacra Synthetic Data Studio · Supplier-side
Topics Jason shaped
AI & technology, Researcher craft & identity, Methods, methodology & rigor, Consumer behavior & culture
Episodes
- How causal AI is revolutionizing consumer and market research with Jason Cohen — Ep. 43 · Jan 20, 2026
What Jason said — indexed claims
- Inflating an N=100 dataset to half a million synthetic rows provides no value if the original survey didn't get the answers it needed; the value of generative methods is conditional ability — looking into populations or scenarios you couldn't survey — not row volume. — Ep. 43 · 29:50 ·
cl-jason-cohen-018 - Software, programming, and even Excel skills are no longer the bottleneck for researchers; agentic command-line AI (Claude Code, Codex) means data cleaning and analysis can be driven by natural-language vision rather than personal coding capability. — Ep. 43 · 46:20 ·
cl-jason-cohen-027 - Letting Claude Code orchestrate verified internal data-cleaning utilities collapses hours of manual data prep into a couple of minutes; the human's job shifts from doing the cleaning to picking which trusted utilities the AI will run. — Ep. 43 · 48:20 ·
cl-jason-cohen-029 - Agentic AI usage is already standard at the big tech firms, but is unevenly distributed across the broader industry; the lag in adoption — not the technology itself — is what creates the present opportunity (and risk). — Ep. 43 · 47:35 ·
cl-jason-cohen-028
Connected across the corpus
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