In an era where legacy brands dominate shelves and screens, a quiet revolution is underway: consumers are increasingly drawn to scrappy, creative challenger brands punching above their weight. But what makes someone pick Olipop over Coca-Cola? Or a niche skincare startup over L’Oréal?
With U.S. trade policy in a state of constant flux, confusion and anxiety are at all-time highs for both retailers and customers alike. Questions abound over how the shifting tariff situation will affect the global economy as a whole and consumers’ spending habits alike. Knowing how to speak to customers at highly volatile times like these is essential for companies hoping to set appropriate policies of their own in response. And for that, you don’t need more questions. You need more answers.
In a time when economic uncertainty and shifting trade policies dominate the headlines, Americans are increasingly aware of how global decisions might hit close to home.
AI isn’t just making market research faster and cheaper—it’s making it better. Not by replacing human judgment, but by augmenting it. By helping researchers see more, dig deeper, and connect dots that were previously hidden in the noise, AI is enabling a step-change in the quality of insights teams can deliver.
AI is cutting the cost of market research—but not in the way most people think. It’s not just about reducing headcount or slashing budgets. The real impact is broader and more democratizing: when insight gets cheaper, more people across an organization can afford to ask questions. And when more people ask questions, the volume and diversity of insights grow.
The promise of AI in market research has long been framed around efficiency: faster surveys, quicker reports, real-time dashboards. But what if speed isn’t just a nice-to-have? What if it’s the unlock for a deeper transformation—one where faster research leads to more research, richer insights, and better decisions?
