Artificial intelligence and synthetic research tools are reshaping how organisations develop products and test ideas, but they are unlikely to replace direct engagement with consumers, according to innovation specialist Dale Evernden, who says human insight remains essential for credible decision-making.
The market research expert argues that the biggest transformation is not the replacement of traditional research but a change in how businesses generate, refine and evaluate ideas before engaging real customers. As AI accelerates concept creation, organisations are increasingly relying on synthetic research to screen possibilities before investing in human studies.
According to Brandspur Brand News, synthetic research uses AI-generated customer personas and simulated respondents to explore likely reactions to products, services or marketing concepts. While these tools can rapidly analyse numerous scenarios, they do not replicate genuine human experiences, emotions or behavioural complexity.
Evernden said synthetic systems should serve as an early-stage research layer, helping businesses identify promising ideas before validating them with real consumers. This approach, he noted, enables research teams to conduct more focused and meaningful customer engagement rather than replacing it altogether.
He also warned that businesses should avoid treating AI-generated responses as conclusive evidence simply because they appear convincing. Language models can produce highly coherent answers that seem credible but may not accurately reflect real consumer attitudes or market realities.
Another concern highlighted is the growing importance of maintaining reliable customer knowledge. Organisations increasingly enrich AI systems with research findings, customer support interactions and community feedback, but outdated or inaccurate information can gradually distort the quality of synthetic insights if not regularly reviewed.
The article stresses that the level of evidence required should depend on the importance of the business decision. While synthetic personas may be useful for exploring early concepts or identifying potential objections, significant investment decisions should continue to rely on direct human research and validated customer feedback.
Evernden believes the future of market research lies in integrating AI with traditional methodologies rather than viewing them as competing approaches. Under this model, synthetic tools help narrow the range of ideas before consumers validate the strongest options, creating a continuous cycle of learning and refinement.
The shift is also expected to redefine the role of insights professionals. Instead of acting primarily as gatekeepers of research projects, they will increasingly become custodians of customer knowledge, ensuring AI systems are built on accurate, current and representative information.
Researchers are also expected to play a larger role in interpreting findings generated by AI. While technology can identify patterns and summarise data, understanding the broader commercial implications and translating those insights into strategic business decisions remains a distinctly human responsibility.
As AI adoption accelerates across industries, maintaining accurate human context is emerging as one of the most critical responsibilities for modern insights teams. Industry experts say organisations that combine AI efficiency with continuous human validation are likely to produce more reliable customer intelligence and better-informed business decisions.
