The classic, easy‑to‑copy moats are shrinking. What remains are the elements that compound over time: institutional knowledge, brand, partners and trust.
Supergirl’s poor reviews and Rotten Tomatoes score have some questioning James Gunn’s DCU judgement, even if he’s an excellent filmmaker himself.
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.
Cloud architectures once considered modern are now the operational bottleneck, constraining performance and slowing model training.
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.
As AI changes how physicians practice medicine, it is forcing medical educators to rethink how they train future doctors.
One startup pays cleaners to film your kitchen while another gets paid to run plumbing dispatch. Both are chasing the data the physical world never uploaded.