Erik and Justin dig into how fast-moving AI platforms are changing (sometimes without warning) and what business leaders can do to avoid broken workflows, plus a few concrete examples like GPT Live voice, ChatGPT Work, and Atlas being retired.
🧭 Conversation Highlights
AI updates follow iterative deployment, so changes land when features are ready, not on a schedule, and teams often notice only when something breaks.
Justin argues for an “AI champion” steward who monitors release notes, tests