# Key Takeaway
- Smoke Signal: AI doesn’t create organizational friction. It reveals it.
- The Fire: Work is moving faster than the organization was designed to handle.
- Question for Leaders: If AI doubled your team’s capacity tomorrow, what organizational bottleneck would become painfully obvious first?
Nearly every executive conversation starts with AI right now.
How do we use it?
How do we move faster?
How do we prepare our people?
But often, a few minutes into the conversation, the topic starts to shift. The real discussion is no longer just about AI. It is about decision-making, governance, unclear ownership, competing priorities, and work bouncing between teams. In other words, it becomes a conversation about the operating model.
That is the idea behind Smoke Signals: the visible problem is often a symptom of something deeper. Each signal looks at a familiar challenge leaders are seeing and asks what may really be slowing work down. This signal focuses on a pattern I’m seeing across AI conversations: AI may not be creating organizational friction. It may be revealing the friction that was already there.
Think of AI like a new highway through a city. Cars can suddenly move across town much faster. But if every exit still feeds into the same congested neighborhood streets, traffic does not disappear. You just reach the bottlenecks faster. The same thing happens inside organizations.
AI can summarize research in seconds, generate first drafts, analyze data, write user stories, and help teams move through certain tasks more quickly. But if decisions still take two weeks, if five people still need to approve something one person could decide, or if work still moves from Product to Engineering to UX to Finance to Legal to Operations because no one is quite sure who owns the next step, the organization has not really gotten faster. It has accelerated the work until it hits the same friction points.
That is why operating models are becoming more important in the age of AI, not less. AI changes how work flows. It changes who does what, when decisions need to happen, and where people add the most value. Those are not just technology questions. They are operating model questions. So instead of only asking, “How do we use AI?” leaders may need to ask a different question: What happens to our organization when work starts moving twice as fast?
The answer often points to the next opportunity. The slow decision. The unclear handoff. The approval that no longer makes sense. The ownership gap everyone has learned to work around. That is the friction worth finding first.
# Look Beneath the Surface
If AI is creating more activity but not more momentum, the issue may not be the tool. It may be how work is structured around it.
Question for leaders: If AI doubled your team’s capacity tomorrow, what organizational bottleneck would become painfully obvious first?
Explore Related Smoke Signals
Organizational friction rarely shows up in just one place. Continue exploring related signals:
- We Have a Great Strategy. Execution Feels Chaotic.
- Everyone Agrees. Nothing Moves.
- If Everything’s Important, Nothing Is.
# Seeing Similar Signals?
Let’s talk through what’s showing up, what may be driving it, and where your team could look first.
