This week, Koby Ofek walks through a pivotal shift in how work gets done: Google’s Gemini Enterprise as a single front door for AI at work, Zendesk’s push to let software shoulder most customer support, and the widening gap between calm macro labor data and firm‑level job moves. Expect a narrative tour—from banks and design teams to cruise lines—of how agent ensembles change ladders, reshape apprenticeships, and reward clarity over volume.

You’ll hear why the next edge isn’t the biggest model but the clearest playbook, how “flight‑ops” for service can turn chaos into choreography, and why the real macro tremor may be the quiet erosion of entry‑level on‑ramps. Koby threads in concrete rituals—case libraries, drift wrangling, reusable governance bricks—that help teams adopt AI without hollowing out craft.

If your job touches decisions, customers, or code, this episode arms you with specific moves: building small agent ensembles, measuring error budgets, and designing new ladders that keep judgment in the loop. It’s a sober, slightly irreverent map for leaders and operators who want the upside of AI while protecting the human skills that compound value over time.