Power and Prediction

I’ll admit: I approached *Power and Prediction* skeptical of yet another ‘AI will change everything’ sermon. But within 30 minutes, I was hooked—not by the tech itself, but by the authors’ laser focus on *decision rights*. They argue that AI’s real disruption isn’t automation, but the way it forces organizations to confront who *should* be making calls. The narration by Tom Beyer is pitch-perfect for this material: he resists the urge to oversell the revelations, instead letting the logic unfold with the precision of a well-built spreadsheet. His pacing in the first few chapters feels deliberately slow, almost methodical, which I initially mistook for plodding—until I realized it was giving me time to map the concepts onto my own work. The book’s strength lies in its refusal to sugarcoat. A standout section on ‘prediction traps’ (where over-reliance on AI creates fragility) had me pausing to scribble notes—especially the cautionary tale of a retail chain whose demand-forecasting algorithm masked critical human intuition. My one gripe? The latter third occasionally drifts into abstract ‘framework-speak’ that feels less grounded than the earlier, case-study-rich chapters. And while Beyer’s narration is mostly excellent, his delivery of direct quotes sometimes lacks the vocal texture to distinguish them from the main text. Still, this is the rare audiobook that left me with *actionable* questions—not just about AI, but about the invisible hierarchies in my own team’s decisions. If you’ve ever sat in a meeting where ‘the algorithm says…’ shut down debate, this is your playbook for fighting back—with data, not dogma.