Long-form insights from the field

Sixteen AI companies placed on one five-step risk scale. The four closed frontier labs state extinction-level odds and back a slowdown; none of the other twelve do. The pattern fits a money motive and sincere belief at once, and the labs' spending is where the two can be told apart.

Model safeguards still leave agentic AI systems with residual risk. Zero trust on every agent action, plus bank-style controls, may let risk and audit sign off.

Most digital transformation initiatives fail for one reason: an operating model built to slow them. Here’s how to separate the team and land the work.

Why agile frameworks miss the point, when formal structure earns its keep, and what accountability actually costs.

Gartner surveyed 782 infrastructure and operations leaders and found only 28% of AI use cases fully deliver ROI. The failures follow a pattern, and the pattern is fixable.

Most projects fail because the people solving the problem have never watched it happen. Our analyst was in the field on day two.