Human–AI Delegation in Social Science Codifiable Tasks vs. Tacit Knowledge, Theoretical Originality, and Field Judgment In an age where everyone is talking about AI, social science research finds itself at a delicate crossroads. Recently, Yongjun Zhang (2026)  from Stony Brook University raised a provocative question in his latest paper, " Vibe Researching as Wolf Coming ": what parts of your research can only you  do, and what can the machines never replace? Is it running te

The rapid development of generative artificial intelligence is redefining how consumer and marketing researches are conducted. When a model can replicate the consumer research processes of 35 top-tier journal articles within minutes, are we still engaging in “human-led science”? A study by Yoo, Haenlein, and Hewett, published in the Journal of the Academy of Marketing Science , addresses precisely this question: Is AI merely transforming research tools, or is it reshaping res

The contrast between human interpretive work and computational code reflects the tension between qualitative meaning-making and generative AI’s promise of efficiency Generative AI is increasingly used in qualitative research, yet its promise of efficiency raises fundamental questions about interpretation, meaning-making, and the role of the researcher. This article is based on the academic presentation "Interpreting Qualitative Data with AI: Pitfalls and Potential" by Duc Ngu

Economics in the Age of AI Agents Over the past two years, the way economists conduct research has undergone a profound structural transformation. In his 2025 NBER Working Paper AI Agents for Economic Research , Anton Korinek argues that the research community is moving from simple conversational systems such as ChatGPT to a new paradigm centered on autonomous AI agents. These systems integrate text generation with planning, memory, and tool use, enabling them to execute mult

AI and qualitative research As generative artificial intelligence (GenAI) rapidly transforms the landscape of scientific research,...

AI creativity compared to human imagination: while large language models generate patterns based on training data, human creativity draws...

As large language models (LLMs) become widely embedded in various decision-making scenarios, people increasingly rely on them to offer...