Those Most Confident Are Not Hiding from Change

When LED lights became cheap and energy efficient, we did not simply use the same amount of light for less money. We lit more things. Streets. Stadiums. Warehouses. Homes. Screens. Buildings. Cities.

That is Jevons’ paradox. When technology makes something more efficient, total use often goes up, not down.

Market research is heading into the same pattern.

AI will absolutely compress parts of the work. Survey drafting, data cleaning, verbatim coding, charting, first-pass analysis, and report production will all get faster. Some tasks that once took days will take minutes. That will feel disruptive because it is disruptive.

But the conclusion should not be, “There will be less research.” The conclusion should be, “There will be more research-like activity everywhere.”

When the cost of asking better questions falls, more people ask better questions. When the cost of analyzing open ends falls, more teams use open ends. When qual synthesis gets faster, more stakeholders want richer context. When reporting becomes less painful, insights teams can spend less time formatting slides and more time shaping decisions.

That is the real opportunity. AI does not make the need for judgment go away. It makes judgment more valuable because the organization can now generate far more inputs, faster than before. Someone still has to know what matters, what is noise, what is methodologically suspect, what the business should do next, and how to explain it in a way leaders trust.

The GRIT data points in that direction. The most confident pockets of the industry are not hiding from change. Brand-side analytics professionals, tech-led suppliers, and mid-sized service-led suppliers show some of the strongest optimism. And on the brand side, confidence is much stronger when organizations have clear expectations for AI use. That should tell us something important: anxiety does not come from AI itself. Anxiety comes from ambiguity.

So the prescription is not to slow down. It is to get clearer.

Set guidelines. Build workflows. Decide where AI can automate, where it can augment, and where human expertise has to stay firmly in control. Use AI to expand the surface area of insight, not cheapen the craft.

The market research industry should be calm, but not passive. AI will change the economics of our work. Good. Cheaper, faster intelligence should create more demand for intelligence.

That is not the end of market research.

That is Jevons’ paradox coming for our industry — and for the people willing to adapt, it is very good news.