Nitin Kumar just released a masterclass on the shifting economics of AI agents, and his core message is blunt: seat-based SaaS pricing is dead. Agents scale with compute and completion, not headcount. That shift creates a massive opportunity — and a significant accountability gap. If you price based on outcomes, you must be able to…
42% of enterprises are now in production with agentic AI. The pilot phase is officially over. Mayfield Fund’s 2026 CXO Survey dropped some massive insights, and it’s a wake-up call for anyone still treating AI as a chatbot problem. We are in the era of autonomous operations — but the survey reveals a dangerous paradox….
Why isn’t “human-in-the-loop” enough? Nitin Kumar’s latest breakdown of seven models for scaling revenue predictably surfaces a massive hurdle for enterprise AI rollouts: the consumption governance tax. Right now, platforms like SAP and Oracle are hitting a monetization wall. They’ve built incredible AI agents — the digital coworkers — but because they lack granular, automated…
Is your ERP ready for non-deterministic workflows? A compelling piece from ASUG on the future of agentic ERP frames the shift perfectly. Traditional automation (RPA) is deterministic — it follows rules. Agentic AI is non-deterministic — it reasons, adapts, and acts on intent. The breakthrough happens when you combine them: agents interpret ambiguity, like a…
The faithfulness gap is the hidden tax on your AI ROI. Scott Hebner’s recent post on the 74% faithfulness gap surfacing in Carnegie Mellon University research is a wake-up call for the enterprise: when an AI agent explains its decision, it is effectively hallucinating that rationale three out of four times. It reaches a conclusion…
Is software dead, or is the “core” just losing its grip? The recent Reuters report on the double-digit slide of SAP (-16%) and ServiceNow (-11%) isn’t merely a bad earnings cycle. It signals a deeper strategic fear: customer-led erosion. For the first time, enterprises don’t have to wait for a “Big Software” release to solve…
Steve Yegge just dropped a 25-page manifesto on the future of development, and it’s a wake-up call for the “soccer team” of developers still chasing 2025 CLI clones. He calls it Gas Town — an industrialized factory where you don’t use one AI agent, you swarm 20 or 30 of them at once. Think “Kubernetes…
When agent-to-agent protocols (A2A, ACP) let autonomous systems commit real money, the technical plumbing has outrun the org chart. “I didn’t know the protocol allowed that” is not a legal defense when an agent authorizes a $50,000 payment at 2 a.m. Shreshta Shyamsundar’s O’Reilly piece names the governance gap: we’ve solved how to connect agents,…
A technical brief on how deterministic AI enforcement and cryptographically signed audit receipts (DUTs) slot into the Model Context Protocol — for frontier model providers and platform vendors building agentic AI for regulated industries.
You cannot govern what you cannot name. Verifiable agent identity is the foundation of AI accountability.
