The gap between adopting AI agents and actually deploying them
Hey there,
Here is a stat worth sitting with: 79% of enterprises have adopted AI agents. Only 2% have deployed them at scale.
Read that again.
That is not a technology gap. That is an organizational design gap. And it has a name.
This week on the blog
I broke down what separates the 2% who have scaled AI agents from the 79% still stuck in pilot mode. The short version: it is not about the model. It is about redesigning the work, building trust architectures, and treating agents like products instead of science projects.
The piece also covers the inference paradox (token prices fell 280x but spending went up), JPMorgan's factory approach to AI, and why MIT Sloan's five-year forecast might be generous for the organizations building foundations now.
→ Read the full post on jaredmabry.com
📚 Worth your time this week
1. Agentic AI in 2026: Trends, Architecture, and Enterprise — TechGig's breakdown of the 7 trends driving enterprise agentic adoption. Useful framing for anyone trying to separate signal from noise in the agent space.
2. The Modern CIO Is No Longer a Technologist — Matt Rider's piece reframes the CIO as the "architect of enterprise decisions." I pushed back on parts of it in my Wednesday LinkedIn post, but the core thesis resonates: the job is about judgment under uncertainty, not technical depth.
3. MIT Sloan Pulls Back Agentic AI Expectations — Davenport and Bean's 2026 forecast. Five-year horizon for enterprise-scale agentic AI. Contrarian but well-sourced. Worth reading if you are building a multi-year AI roadmap.
4. From Strategy to Scale: How Healthcare Leaders Drive Real AI Adoption — Ardent Health's CDTO on moving past experimentation. Relevant for anyone in healthcare, but the patterns apply broadly. The constraint is never the technology.
💬 One thought to leave you with:
The orgs winning at AI right now are not the ones with the best models. They are the ones who answered this question first: "If we had unlimited AI capability tomorrow, would our organization know what to do with it?"
Most cannot answer yes. That is the real work.
See you next week.
— Jared