Pioneers of AI: How fast can you upskill in AI? We did a sprint to find out.

In a bold experiment to future-proof their company, the small media team at Wait What launched a three-day AI sprint—pausing all operations to immerse every employee in generative AI tools like Claude and Replit. The goal? Not to replace humans, but to supercharge workflows by automating tedious tasks and sparking innovation. From building a real-time hotel dashboard for their flagship Masters of Scale Summit to creating a guest speaker engine, teams discovered that AI’s real power lies not in full automation, but in acting as a collaborative co-pilot. The most transformative insight? Treating AI like a colleague—asking questions, iterating, and refining prompts—yielded far better results than one-off commands. Despite skepticism from creatives worried about artistic integrity and environmental impact, the sprint shifted mindsets: AI isn’t a job killer, but a tool to eliminate the 'Ministry of Hateful Tasks'—the repetitive, soul-draining work that drains energy from meaningful work. The real challenge now isn’t adoption, but integration: how to scale these experiments safely, securely, and sustainably. With a new task force building guardrails like a security AI agent called 'Warden' and wrestling with unpredictable costs, the sprint ended not with a victory lap, but with a marathon ahead.