Short pieces from Mireto on AI strategy, defensibility and the structural shifts reshaping commercial, government and not-for-profit organizations.
Most organizations don't have an AI strategy. They have an AI activity list. The difference is structural, and compounding.
Most organizations are running AI as a project. It is not one. In three years the organizations in front will be the ones that moved with a clear view of where they were going, not the ones that moved fastest.
The engineering moat is gone. Four moats remain, and they are not equal. Which moat you hold decides whether you stay defensible.
The frameworks that organize commercial AI strategy break down in government. There, legitimacy is the moat that capability cannot buy.
As AI restructures the sector, technology stops being a moat for not-for-profits. Mission is the one that lasts.
AI has broken the link between headcount and output. Work you would once have hired for now runs as a workflow, which changes how you build the team and who you hire next.
When building software cost millions, you had to accept the template. You do not anymore, now that the economic logic forcing businesses into sameness has collapsed.
For four decades, software made you change your business to fit the tool. When building costs fall, the specific way you work stops being an expensive problem and becomes your advantage.
AI is collapsing the cost of analysis, the thing advisory firms have always sold by the hour. The firms that come out ahead will sell judgment, productize delivery and serve the clients the old model priced out.
Consulting and integration giants built trillion-dollar businesses on closing the gap between generic software and real organizations. AI is now closing it for them.