Agents will change how companies find and compare service providers. For high-stakes work, trusted networks will still help buyers decide whom to believe, and whether they are buying the right work in the first place.
AI search is quietly averaging your premium products into the category mean. The fix isn't better content—it's product data the buyers' AI can actually read.
Geospatial analysis gives you a heatmap. You squint at it and confirm a decision you already made. The data to build real conviction now exists: satellite imagery, local sentiment, search behavior, construction activity. The gap is that nobody is stitching it together yet.
There is a 1975 Soviet film called "The Irony of Fate" in which a man gets drunk in Moscow, falls asleep on a plane, and wakes up in Leningrad. He takes a taxi to his address. The building
Pricing is the single most powerful lever on your top line. It's also the one where the gap between perceived rigor and actual precision is widest. Most pricing studies can't detect the differences companies are betting
The 1990s change management industry collapsed under its own vagueness, then got eaten by the cost-cutters. Now agentic AI is forcing the hardest organizational question in a generation, and neither playbook works. The answer is uncomfortably simple: tell your people the truth.
76% of consumers have already used AI to research a financial product. But the disruption is landing unevenly across categories, and there's a massive gap between research and transaction. New survey data on where AI sits in the channel mix and what financial services companies should do about it.
