Why does Christopher argue that AI adoption often fails?

The article argues that many organizations are not failing because the technology is weak. They are failing because teams are not aligned on what AI is meant to do, what success should look like, and how different functions should work toward the same objective.

What does misalignment across teams look like in practice?

The piece describes a familiar pattern: marketing uses AI for content, sales uses it for emails, and leadership talks about transformation, but no one agrees on a shared definition of success. That creates fragmentation instead of coordinated adoption.

Why is AI alignment described as a people problem rather than a technical problem?

Christopher’s point is that adoption depends on shared priorities, cross-functional clarity and decision-making discipline. Even strong tools underperform when leadership teams and operating units are not aligned around purpose and outcomes.

What should leadership teams align on before scaling AI adoption?

Leadership teams should align on what AI is actually for inside the organization, how success will be defined, and which decisions or workflows matter most. Without that clarity, adoption remains scattered and difficult to scale.

How does this article connect to broader AI strategy work?

The article reinforces a broader strategic point: AI adoption is not just about selecting tools. It is about building organizational coherence so that teams, incentives and execution all support the same long-term strategic direction.

How Misalignment Across Teams Undermines AI Adoption

Mar 30

Written By Prof. Christopher Sanchez

Most companies aren't failing at AI adoption because of the technology. They're failing because their people aren't aligned on what AI is actually for. Marketing is using it for content. Sales is using it for emails. Leadership is talking about "transformation." But nobody sat in a room and agreed on what success looks like. AI alignment isn't a technical problem. It's a people problem.

Prof. Christopher Sanchez

Christopher Sanchez is an operator and strategic advisor working at the intersection of AI, geopolitics, and business strategy. He is Founder and CEO of Emergent Line, where he advises leadership teams on how to turn AI into durable advantage in a changing global environment. He writes dC/dt as a lens on how quickly the strategic environment is shifting, and what that means for the decisions leaders have to make now.

How Misalignment Across Teams Undermines AI Adoption

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