How can AI improve market research?

How can AI improve market research is mainly about accelerating data collection, classification, synthesis, pattern detection, translation, and reporting. A reliable approach is to use AI to code interviews, summarize reviews, cluster search queries, compare documents, create hypotheses, and automate repeatable monitoring. For example, a team can process thousands of customer comments to identify themes, segment differences, and changes over time. The main caution is that AI may introduce errors, bias, missing context, or fabricated evidence, so important claims require source-level review. The final output should provide less manual work and faster insight generation while researchers retain responsibility for methodology, interpretation, and decisions.