The AI adoption phase is over

For two years, the AI conversation in every boardroom has been about adoption: who’s using it, how much, how fast. That conversation is over. Adoption happened. What should keep leaders up at night now is harder to see on a dashboard: What are people doing after adoption? We recently conducted our inaugural Scribd Understanding Index, surveying 1,500 Americans about how they build knowledge today. The clearest signal in the data wasn’t about tools at all. In fact, 37% of those surveyed said the hardest part of any research session is knowing which sources to trust—twice the rate of the next biggest challenge. Confidence in information is the bottleneck. THE NEW WORKFLOW Verification is already a workflow that shows how people are handling the trust problem: They’re fact-checking. We found that 66% verify AI results nearly every time they use them, and 47% say validation is so critical they always make time for it, even when they’re busy. I read that as maturity. When a technology is novel, we marvel at it. When it becomes routine, we hold it to a working standard. The stakes on trust rise precisely because AI is now embedded in real decisions. And this habit already exists inside …