
Enablement Is the Laziest Form of Transformation
Why Instruction Is the Ugly Version of Inspiration We like to believe that adoption follows enablement. It sounds disciplined and responsible: give people access, train them properly, distribute the materials, explain the features, host the workshops, and measure participation. From a governance perspective, it checks every box. And yet, enablement

Rethinking Time as Engagement Infrastructure
What Pebble’s Timeline concept reveals about cognitive load, ROI, and the future of empowered work What would actually happen if every employee carried a Pebble Timeline–enabled smartwatch? At first glance, this sounds like a lifestyle or perks question. In reality, it’s an organizational one. Not about gadgets, but about infrastructure.

The Power of Focus in an Over-Featured World
Why niche products keep outmaneuvering giants — and why enterprises should pay attention For a long time, progress in technology followed a predictable arc: more features, broader platforms, tighter ecosystems. If something could be added, it usually was. Capability was scarce, so accumulation felt like the safest bet. That logic

Fail Fast, Fail Cheap
Why admitting you’re wrong early is a leadership capability, not a weakness BlackBerry famously asked: “Who would ever want a phone without a keyboard?” It wasn’t a dumb question. It was a reasonable one, grounded in everything that had worked before. BlackBerry dominated enterprise communication. Physical keyboards were a genuine

Why AI Rewards Business Builders, Not Just Employees
What incentives, leverage, and fear really have to do with AI adoption “People don’t resist AI because they fear technology. They resist it because they don’t trust what success will cost them.” That sentence tends to land because it reframes resistance as something rational rather than emotional. For a long

Creating the Conditions for Excellence
Why AI adoption scales like good leadership, not good mandates “Arouse in the other person an eager want.” — Dale Carnegie, 1936 While we spend a lot of time talking about new operating models, the dawn of AI, and the behavioral patterns of younger generations entering the workforce, it might
