AI-driven market research offers significant potential due to its capacity to process immense datasets and identify complex patterns far beyond human capability, leading to faster insights. It excels in quantitative analysis, uncovering trends and correlations from consumer behavior data, social media, and transactional records. However, its reliability is contingent on the quality and bias of the input data; AI can amplify existing societal biases if not carefully managed. Furthermore, AI often struggles with nuance, emotional context, and qualitative depth that human researchers provide through interviews and focus groups. The "black box" nature of some advanced AI models can also make it difficult to understand *why* certain conclusions are reached, impacting trust. Therefore, while incredibly powerful, AI market research is most reliable when used as a complementary tool, requiring human expertise for interpretation, validation, and ethical oversight to ensure truly actionable and unbiased insights. More details: https://termobud.com.ua/