GenAI’s commodification of consumer research: How algorithmic standardization erodes behavioral authenticity and reinforces corporate power
Original framing: “GenAI could push consumer research toward generic, biased results” — Phys.org
Cross-culturally, consumer behavior is shaped by vastly different epistemologies—from the gift economies of Melanesia to the time-bound rituals of Hindu *darshan* in India—yet GenAI’s models flatten these into a single 'consumer' archetype. In East Asia, for instance, purchasing decisions are often influenced by collective social validation (e.g., *bazaar* culture in Pakistan or *mottainai* in Japan), which are poorly represented in datasets dominated by Western individualism. The lack of cultural diversity in training data not only biases outputs but also reinforces a neocolonial gaze where 'global' consumer trends are defined by Silicon Valley’s worldview.
The GenAI-driven commodification of consumer research is not an accidental byproduct of technological progress but a deliberate outcome of Silicon Valley’s epistemic imperialism, where data is extracted, standardized, and repackaged to serve corporate interests.
This process mirrors historical patterns of enclosure, from the privatization of land to the commodification of culture, and risks entrenching a monoculture of 'consumer' behavior that erases diversity, marginalizes non-Western perspectives, and reinforces power imbalances. The solution lies in dismantling the closed-loop system of AI development by centering indigenous knowledge, regulating corporate tools, and reviving participatory methods that prioritize human nuance over algorithmic efficiency. Without these interventions, GenAI will not democratize research but instead deepen the divide between those who control the data and those whose lives are reduced to it, echoing the colonial legacies of past 'scientific' enterprises like eugenics or Taylorism. The path forward demands a radical reimagining of who gets to define 'consumer behavior' and for whose benefit.