Most AI programmes fail for the same reason teams lose, weak fundamentals. 🏅 In this video, I share 6 lessons from elite sport that make AI adoption work when it moves from pilot to daily workflow: 1️⃣ Clear roles and ownership, who is accountable for decisions, outcomes, and risk 2️⃣ Drills over theory, repeatable practice cycles that build confidence and speed 3️⃣ Literacy across the squad, practical AI fluency for every team, not a small expert group 4️⃣ Play to strengths, use AI for pattern spotting and throughput, keep judgment where it belongs 5️⃣ Culture that challenges outputs, psychological safety to question results and surface failures fast 6️⃣ A real scoreboard, measure business impact and reliability, not vanity metrics The point is simple, successful teams win because they do the basics brilliantly, every day. AI adoption works the same way. Treat it like performance, with coaching, routines, and feedback loops, and it compounds. Which lesson is missing most often in your organisation right now, ownership, practice cycles, skills, culture, or measurement?

Quick wrap-up from Cisco AI Summit. The biggest message I’m taking away is simple. AI capability is accelerating fast, the real bottleneck is absorption inside organizations. A few themes that kept coming up in candid, unscripted conversations between sessions: First, daily habit beats pilot projects. The teams pulling ahead are getting everyone experimenting, even when tools are imperfect, because that is how you build the muscle memory, standards, and internal playbooks that compound over time. Second, agents are quickly becoming the interface. We are moving from asking AI for answers to delegating multi step work with supervision, tool use, and clear accountability. That makes governance and identity foundational, permissions, escalation paths, and auditability stop being “nice to have” and become the rails that let teams move faster. Third, physical AI is coming into focus. Fei Fei Li’s framing stayed with me, perception came long before language, and systems that understand and act in the 3D world will reshape robotics, simulation, healthcare, design, and industrial operations. Fourth, trust is the hidden constraint. Heavy AI use can boost individual speed, while putting pressure on team trust and shared ways of working. That means leaders have to set norms, make review visible, and treat AI adoption as a culture and operating model shift. Fifth, infrastructure and power are strategy again. Software can move at AI speed, concrete and megawatts still move at physical speed, and that gap will shape what organizations can scale. #CiscoAISummit #AI #Leadership #FutureOfWork #CIO #CISO #Sponsored #CiscoPartnership