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.
A generated prototype can reach production with its basic workflow chosen by default. Faster building should make it easier to explore different ways to organize the work.
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.
I maturity assessments are a legitimate tool. They're also insufficient on their own. Here's why the conversation stops too early, and what public companies and PE firms need to ask next.
Most AI strategy decks start with cost. Automate processes, deploy copilots, consolidate back-office. It's all inward-facing. The question that should be on page one: how does AI change the way your customers find you, evaluate you, and buy from you? That's where the existential risk lives.
Every investment memo and annual plan runs three scenarios: base, upside, downside. Three futures that feel rigorous but aren't. Stochastic simulation fixes this in principle. Now LLMs can parameterize it in practice. The full distribution of outcomes changes what you see and where you look.
