The AI era is eliminating people who think like employees—and replacing them with people who think like entrepreneurs.

That accumulated judgment takes place between the ears—it’s rarely written down or formally captured.

Compute matters. Models matter. Data matters. But as autonomous systems become embedded throughout society, trust infrastructure may prove equally important.

As enterprises expand branded communications, authentication becomes essential to protecting those interactions.

The value of digital footprint analysis is in pattern recognition, not in treating any single signal as a reason to reject more people.​

Discussions often focus on hallucinations, but institutions frequently encounter a different challenge altogether: fragmented knowledge.

The job of engineers is changing shape, and the best ones are becoming orchestrators. Orchestration looks far more like management than programming.

Infrastructure and data discipline matter more, not less, for manufacturing in the age of agents.

AI-naive IT operations aren’t due to a lack of AI ambitions but to companies not recognizing that their IT ticket data is a signal of business process health.