Unpacking the realities behind AI layoff claims.
When CEOs blame the layoffs on AI, they’re borrowing credibility from the moment. Here’s how to tell a real efficiency story from a convenient one — and the four numbers that force the question.
Lessons from the past in the race for AI dominance.
We’re deciding how to govern the most consequential technology transition in history — without a clear theory of which model we’re following.
“Is the Model Safe?” is the Wrong Question.
Asking whether an AI model is safe is asking the wrong question. Safety isn’t a property of an artifact at rest; it’s a property of the system in motion. The law attaches to outcomes the way cholera does at the point of consumption: per house, per glass, per decision.
Governance as Architecture.
Every organization above a certain size now has an AI Governance Framework. Very few have governance. The gap between the documents on the shared drive and the decisions getting made at the execution boundary is where the next round of failures will arrive.
Using Accountability to create Value.
The systems most likely to fail are the ones we’ve only just come to trust. As organizations move agentic AI from pilot to production, the human-in-the-loop is becoming the human-out-of-the-loop, and balancing value and legal exposure is more important than ever.
Every two weeks, get insights from the Privlex team.