The market research industry has approximately two years to redefine career pathways for AI-native talent before consultancies, media agencies and tech-adjacent businesses permanently reshape the talent landscape, according to insights from hiring experts and industry practitioners.
Kelly McKnight, executive director at Verve, an award-winning insight leader specialising in the integration of artificial, cultural and human intelligence, has outlined the urgent challenges facing the sector in hiring and developing researchers equipped for an AI-driven future. Drawing on interviews with six graduates working in AI-native roles at Verve, McKnight warned that adjacent sectors are already hiring these graduates directly, often at higher salaries, and building their own version of customer understanding without research rigour underpinning it.
Brandspur Brand News understands that the industry is still debating what happens to traditional research and who will carry first principles forward, while consultancies and media agencies are not debating anything. This dynamic risks insight losing ownership of the conversation, not because the work disappears, but because someone else ends up doing it.
The hiring challenge begins with job descriptions. McKnight noted that her team posted an AI-focused entry-level role four different ways before getting it right, finding that too much technical language attracted software professionals while too much research language drew candidates who wanted to do traditional research. Neither fit the requirements. Liz Norman, a recruiter with over 30 years of experience in market research who participated in the process, observed that job descriptions for AI roles routinely list technical prerequisites such as tools, platforms and languages that are not actually required and can be learned in weeks, causing the right candidates to click away before applying.
At Verve, the hiring approach now includes asking applicants for a one-minute video and a short answer on how they currently use AI. Standout candidates are not the most technically fluent but those who have built something with AI in their own time out of curiosity rather than obligation. Generic answers about AI are considered warning signs.
The development of junior talent has also shifted. Katie O’Connor, SVP at Behaviourally and another participant in the hiring panel, described her own 15-year apprenticeship of fieldwork and tabs before anyone trusted her judgement as a path that no longer exists. What has replaced it is not one-way apprenticeship but something more mutual, where there is as much to learn from how junior hires work as there is to pass on from years of experience.
Working with simulations replaces menial work with structured experimentation and deliberate cultivation of judgement, with senior practitioners asking why rather than showing how, presenting real problems with no established answer and genuinely expecting a junior’s instinct to be worth interrogating. The process of deciding what matters becomes the exercise, with judgement serving as the ultimate point.
McKnight concluded that the next generation of researchers, whether they come through simulation-led roles or traditional research accelerated by AI, is already out there. The industry has perhaps two years to decide whether it is claiming them or handing them to someone else.
