Stop Paving the Cowpath: Why Agentic-First Is the Only Way to Build for the Enterprise
Stop Paving the Cowpath: Why Agentic-First Is the Only Way to Build for the Enterprise
In the long arc of technology, Artificial General Intelligence may be looming somewhere beyond the horizon—faint, inevitable, and over-discussed. But in the enterprise—where risk is institutionalized and change moves at human speed—we are not ready to hand the keys to the machines. Not yet.
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The Daylight Principle in Agentic AI. What Is It and Why is it Critical? AI’s Context Challenge. In the previous post in our Augmented, Not Artificial series, we argued that the shift from rigid SaaS to adaptive, intelligent platforms represents the most consequential evolution in enterprise software since the cloud. But recognizing that shift is the easy part. Realizing its benefits is harder.
A non-engineer builds a playful AI-powered app in minutes, showing that modern tools make speed, creativity, and product-building accessible to anyone.
In the first article on our Augmented, Not Artificial series, we observed that the biggest barriers to realizing agentic AI’s potential in the enterprise are cultural, not technical. The models are ready. The infrastructure is ready. What isn’t ready is how most orgs think about software, ownership, and performance.