Executive Insights

Executive Insights

Ideas for Leaders Building With AI.

Pibo’s perspective on productivity, accountability, and what actually changes when AI enters a growing company.

  • Is your logic safe with AI?

    For years, AI security meant protecting your data. A new risk called AI Sherlocking shows that your logic, the judgment behind how your company solves problems, can be just as exposed. Here is what that means, and why small language models are one way to keep it protected.

  • The Whiteboard limit

    Porter’s five forces has five forces because that’s what a team could map on a whiteboard in an afternoon, not because competition only moves five ways. Here’s what changes when AI removes that ceiling.

  • Where AI Should Run, How, and Who’s Accountable

    A dealership chatbot once agreed to sell a $58,000 SUV for $1. An airline got held responsible for its chatbot’s bad advice to a grieving customer. Here’s the 3 minute checklist that would have caught both.

  • The Workslop Problem

    Half your team may already be sending work they know is not good enough. The real problem is not who to blame. It is the gap between AI adoption and AI capability, and what closes it.

  • Redefining your Audience

    A job title alone rarely tells you who actually decides. Harvard Business Review research shows B2B buying groups average about five people, not one, and getting that wrong is where market validation and demand generation both quietly fail before outreach even begins.

  • The AI Cost Cutting Trap

    A March 2026 Federal Reserve report finds that companies chasing AI driven cost cuts are not the ones seeing the productivity gains. The bigger opportunity is in growing what a team can do, not shrinking the team that does it.

  • Start With the Work, Not the AI

    How to identify where AI should operate, where people should remain accountable, and where to start.

  • Who’s Accountable for Deploying AI?

    You did not say it. Your AI did. You are still the one who answers for it.

  • The AI Productivity Paradox

    Why individual speed is not the same thing as organizational output, and what closes the gap.