I have a feeling it will be even harder to convince these students when they can point to high-value companies like #Auru that use #AI bots as proxies for humans, @caiocgo

In your defense, Auru is not just asking a chatbot to generate results (according to the article). It may be using multiple AI agents — ideally many.

However, if Auru's agents are all based on the same architecture and training data, then it's really just one system wearing different hats, like an actor performing many impressions or stereotypes.

Of course, if Auru is doing something like that, then students may just see that as another business opportunity. If they can do better, then they can compete with the major players in this space. 😆

RE: https://flipboard.com/@wsj/business-b1985f4jz/-/a-T6_YAnIFSTSuzZdNlac-EA%3Aa%3A248213600-%2F0

“Instead of paying humans to join focus groups and complete surveys, #Auru uses thousands of #AI agents, or bots, to simulate human responses. It feeds #demographic and psychographic information into its models to create human profiles that match clients’ needs, and the results those bots spit out are being used for product #development, #pricing, identifying new customers and political #polling.”

Researchers have warned about the inaccuracies of treating #LLMs as human proxies (https://doi.org/10.1007/s10462-025-11297-5), but I wouldn’t be surprised #languageModels beat #qualitative interpretation of non-representative focus groups.

#marketing #psychometrics #statistics #quantMethods #philSci #metascience #business