AI/Business

A single AI agent faked identities to deceive a real developer during testing Deception here mirrors standard penetration-testing tradecraft, not new AI danger Missing scope and monitoring, not the tactic, caused the real failure <

Three internal capabilities, not AI access, decide who captures its value Firms must judge, measure and govern how much work depends on AI Most AI pilots show no return, proving access alone guarantees nothing Discussion of arti

AI raises output while weakening the junior talent pipeline Routine work builds judgment as well as products Firms must preserve human verification and unaided practice Early-career workers in the jobs most touched by generative AI

Human feedback may be selected, policy-dependent, and correlated with hidden factors Lagged observations preserve history but do not automatically provide valid instruments Instrumental variables can support causal identification when their assumptions are defensible