Find Your Builders. Or They'll Leave and Start Without You.
Part 1 made the case for urgency. This part is about who you put in charge of it, and why most companies get that decision backwards.
Part 1 made the case for urgency. This part is about who you put in charge of it, and why most companies get that decision backwards.
There is a sentence moving through boardrooms right now that sounds like wisdom and functions like a trap. "We are taking a responsible approach to AI." It gets nodded through. And it is the most expensive position a company can take right now.
McKinsey and Accenture are the next domino. Not because AI does their job. Because AI does their job better, faster, and permanently. That is a different kind of disruption. And it has already started.
Americans spend $11,577 a year on a vehicle that sits parked 95% of the time. Self-driving services are now operating in a dozen US cities, with more arriving monthly. The car is about to become what the landline became after the mobile phone: something you wonder why you ever paid to own.
Jensen said spend $250k/year per engineer on tokens. The world heard him—then saw the bill. Open-source models match the frontier for a fraction of the cost. The model makers are going public the same month their pricing power runs out.
For thirty years, we built instruments to study sellers. The buyers were always the ones who decided. This final piece is about what changes when you flip the instrument — and what becomes possible when you know more about how a buyer buys than they expect any seller to know.
Every business in history has been capped by the same constraint: you can only do as much as your people can do. That constraint just ended. What you build next is limited only by how clearly you can define what you want intelligence to pursue.
CRM was built to standardize work. AI needs to know what to optimize for. Bolt AI onto a workflow tool and you get faster workflows — not better outcomes. That's why every sales metric has moved the wrong direction for 15 years.
The same AI-native permitting that makes homeownership affordable again can bring manufacturing, industrial, and commercial development back to America without cutting wages, reducing protections, or handing out tax breaks. The only thing it takes away is delay.
Both sides of the political spectrum can agree on this one. No new laws, no partisan fight — just technology applied directly to one of the most painful problems in American life. It's already working in the cities smart enough to try it.
The AI reshaping the world isn't a chatbot. It's in dark factories, drug labs, and autonomous aircraft. That's where the durable value settles.
SaaS revenue is about to tick up. Analysts will call it a recovery. They will be wrong about what it means. The revenue comes first. The reckoning is sequential.