The debate around AI adoption has been loud but rarely grounded. Ron draws on Similarweb's web intelligence data to cut through the noise - identifying which industries and use cases have genuine traction, which have plateaued, and what the behavioral signals tell us before the quarterly results do.
But the more interesting questions sit behind the data: How should enterprises actually act on these signals? And as the analysis gets more sophisticated - real-time, agentic, predictive - what does the role of the data leader look like in two or three years?