AI Slowdown Debate: Critics Tell CEOs 'Just Do It' | 2026

The argument here is about pace - whether teams should wait for formal rules before deploying AI. For anyone already running agents in production, that framing misses where the risk actually sits. What decides whether a team of agents is safe to run is not how fast you moved; it is whether you can tell afterwards what the agents did, and whether anything caught them when they were wrong.

That is an engineering property rather than a policy one, and it is testable today. The useful artefacts are the ones that FAIL: a guard that refuses a change, a release that stops before deploying because a test disagrees with the code, and a defect caught in an agent's own work before any customer sees it. Teams with those can move quickly and still answer for it. Teams without them are relying on the pace debate being settled in their favour. If you are assembling a team of AI agents and want that evidence trail from the first day rather than retrofitted, pragor.net/beta.