Methods · November 2026 · 4 min read
AI reads faster. People still mean more.
What artificial intelligence changes in market research, and what it doesn't.
Every week brings a new promise: synthetic respondents, instant reports, surveys that write themselves. Some of it is real. Some of it is noise. After three decades of fieldwork between us, our view is simple: AI is the best research assistant we have ever had, and a poor replacement for a researcher.
Where AI earns its place
Scale. A human team can read a few thousand comments carefully. AI can read every mention of a brand across a month of news, social media and forums, and sort it by theme and tone. This is how our DF Decoding Fame tool tracks reputation: it measures the whole conversation, not a sample of it.
Speed. Coding open-ended answers, transcribing interviews and building first-draft tables used to take days. Now it takes hours, which leaves more time for thinking.
Pattern-spotting. AI is good at noticing that two themes keep appearing together, or that a topic is quietly growing. It points us to where to look.
Where it still needs us
Meaning. A model can count how often people mention "trust". It cannot tell you that, in Greece, "trust" in a bank is often about a family memory of 2015, not this year's interest rates. Context, culture and history are where insight lives.
Questions. The most valuable moment in a project is choosing what to ask. That judgement comes from knowing the market, the client and the people. AI answers questions; it rarely asks the right ones.
Honesty about data. AI writes fluent conclusions even from thin or biased data. "Synthetic respondents" can repeat what the internet already believes. Someone has to check samples, sources and weights, and say "we don't know yet" when that is the truth.
The human voice. A silence in an interview, a laugh, a change of tone: these tell you more than a thousand tagged posts. This is why every DF report can include a small set of in-depth interviews. The numbers tell us what; people tell us why.
How we use it
Our rule: AI for reach, people for meaning. Traditional quantitative and qualitative research stays at the centre of what we do. AI makes it faster and wider. Every finding is read, checked and signed off by one of the founders, and client data stays private and GDPR-compliant.
The future of research is not machine or human. It is a researcher who knows exactly when to use each.
By Sophia Iliopoulou & Sophia Dassyra, founders of Kukuvagia