The Interface Tax: Why AI Tools Feel Powerful but Fail in Real Work
AI tools don’t fail because they lack capability. They fail because using them requires a cognitive shift that people don’t sustain.
Why the Economics of Trust in AI Consulting Demand Shared Risk and Real Outcomes
AI changes the economics of trust by reducing uncertainty earlier, making shared risk, visible value, and outcome-oriented consulting far more important than before.
Smart Glasses in the Workplace: The Opposite of a VR Office
Smart glasses in the workplace may represent the opposite extreme of VR offices: less immersive but far more socially acceptable. A strategic look at how augmented reality could reshape productivity in the workplace.
The Effort Illusion: The AI Productivity Paradox
For centuries we have treated effort as proof of value. The harder something looked, the easier it was to trust. AI quietly breaks that assumption. When high-quality work suddenly becomes easier to produce, many organizations do not celebrate the leverage — they question the legitimacy of the result. The real disruption of AI may not be automation. It may be forcing organizations to confront how much they still trust effort more than judgment.
The Socially Unacceptable Office: Can VR Workspaces Improve Knowledge Work?
Virtual reality promises infinite screens, immersive focus, and workspaces unconstrained by desks or buildings. But even when the technology works surprisingly well, one stubborn question remains: would your workforce actually wear it?
Governance Follows Momentum: Why AI Governance Strategy Comes After Innovation
Organizations often believe they need governance before innovation begins. In practice, governance usually arrives after experimentation has already created momentum. The challenge is not choosing between innovation and risk management — it is creating the conditions where both can evolve together.
Eliminating Latency Between Thought and Execution
What if productivity isn’t about working more hours, but about eliminating the delay between having a valuable thought and acting on it? I’ve made high‑stakes decisions from a rest stop in the Alps and delivered spontaneous presentations from an iPhone — not to prove a point, but because the infrastructure allowed it. The real question is: how much innovation does your organization lose to invisible latency?
Why Most AI Strategies Are Built Backwards: A Common AI Strategy Mistake
Most AI strategies don’t fail because they are wrong. They fail because everyone involved is right. IT wants control. Legal wants safety. Leadership wants an edge. And while alignment is negotiated, momentum evaporates. AI does not reward perfect planning. It rewards lived leverage. Until someone experiences real cognitive relief, strategy remains theatre.
Make the Impossible Possible
When creating a structured video becomes easier than drafting a long email, behavior changes. Video stops being a department and becomes a capability. AI tools like Synthesia don’t just improve communication: they lower the cost of expression to the point where “impossible” becomes routine. And once someone experiences that shift, the question is no longer whether it’s human enough. It’s whether you’re willing to let competitors normalize a capability you’re still debating.
The Cognitive Revolution: Why AI Is Changing Human Work
AI is not steam power for the mind. It is something fundamentally different: a tool that amplifies cognition before it replaces it. Unlike past revolutions that automated muscle and logistics, AI enhances judgment, synthesis, and context handling — for now. Whether this becomes a mass replacement event or a leap toward collective wellbeing depends less on the models and more on how we choose to adopt them.
