The classic, easy‑to‑copy moats are shrinking. What remains are the elements that compound over time: institutional knowledge, brand, partners and trust.
Just as the AI-native human has no unaugmented surface area in their work, the AI-native organization must have no unaugmented surface area in its structure.
The AI economy is no longer being built only with software. It is increasingly being built with physical capacity.
The instinct to add AI everywhere, to make every feature “smarter,” can lead to products that feel innovative but are hardly ever used.
Signify teams up with Silicon Labs for a Thread and Matter connectivity upgrade.
The CTOs I have seen break out of this cycle all do one thing differently. They stop treating validation as a gate that slows things down.
There cannot be confidence in the AI without confidence in the data.
For Millennials and Gen-Z, the manufacturing sector conjures images of a dull, dirty and demanding workplace.
As more AI capabilities get integrated into cloud-native applications, security teams must shift their focus from securing infrastructure to securing decisions.
Just as cloud computing created demand for orchestration platforms and DevOps tooling, agentic AI may now be creating demand for a new operational layer altogether.