95% of Researchers Now Use AI: 4 Takeaways from the 2026 Qualtrics Market Research Trends Report

Qualtrics just released their 2026 Market Research Trends Report, surveying over 3,000 researchers across 17 countries. The headline number: 95% of researchers now use AI tools regularly or are actively experimenting with them.

A year ago, adoption was the story. Now the story is orchestration. The gap is no longer between teams that use AI and those that don't. It's between teams with a clear AI strategy and those still running disconnected pilots.

Four Trends That Matter

1. Research agents are multiplying impact. AI agents now let product managers test concepts, marketing teams analyze qualitative findings, and executives explore customer data without filing a ticket. 13% of researchers say democratizing insights is AI's biggest benefit. Among that group, 84% believe research agents will oversee more than half of projects end-to-end within three years.

2. General-purpose AI is losing ground. Use of general-purpose AI tools dropped from 75% to 67% in one year. Meanwhile, AI embedded in specialized research platforms rose from 62% to 66%. Researchers are choosing tools that understand their domain over generic chatbots.

3. Slow adopters are losing influence. 37% of traditional research teams say organizational reliance on their insights is flat. 15% say it has declined. Budgets are stalling too: 32% report no increase. The teams that embrace AI are gaining strategic seats; the rest are watching their credibility erode.

4. Leaders and individual contributors see AI differently. 72% of C-suite leaders say their organization relies more on research than a year ago, but only 44% of individual contributors agree. 83% of leaders say AI has improved team efficiency; just 65% of contributors feel the same. This disconnect threatens to stall adoption from the inside.

What This Means for Customer Intelligence

The shift from general-purpose AI to specialized, embedded research tools mirrors exactly what we see in customer intelligence. Generic sentiment analysis is the "chatbot" equivalent: a starting point, not a destination. The teams pulling ahead are the ones using purpose-built tools that go deeper into voice, emotion, and behavioral signals.

The full report is worth reading. Download it from Qualtrics.