What happened in AI this week that actually matters for adoption. Curated for anyone driving AI change in their organization.
McKinsey's latest State of Organizations report surveyed 10,000+ executives globally. The headline: almost everyone has started with AI, but almost no one has figured out how to scale it. The gap between experimentation and real adoption keeps growing.
Stanford's 2026 AI Index confirms what practitioners have been saying: technical implementation is no longer the bottleneck. The real barrier is organizational readiness, skills gaps, and resistance to changing workflows.
Job postings for roles focused specifically on AI adoption (as opposed to AI development) have tripled in the past 12 months. Companies are realizing they need dedicated people to bridge the gap between buying AI tools and actually using them.
What can you do with this yourself? Each week, one experiment and one prompt you can try in your own team or organization, linked to the developments above.
Pick one repetitive task your team does weekly. Spend 15 minutes together exploring how AI could handle part of it. Don't aim for a solution. Aim for the conversation. That's where adoption starts.
Before your next meeting about AI adoption, prompt an AI assistant with: "I'm meeting with [role] about rolling out AI in [department]. What are the three most likely objections they'll raise, and how should I frame my response?"
Every week, the developments that matter and one thing to try. Free.
No spam. Unsubscribe anytime.