According to Adobe's CMO, the number one question from customers about new AI tools is not about features, but about how to get their teams to adopt them. The solution lies in identifying internal champions who are excited about the change and can act as catalysts to bring others along.

For internal tools, don't rely solely on product-led growth. A hybrid approach combines a frictionless product experience with a proactive "sales" strategy of advocating for the tool's potential, constantly proving its value to leadership, and removing friction for users.

The biggest resistance to adopting AI coding tools in large companies isn't security or technical limitations, but the challenge of teaching teams new workflows. Success requires not just providing the tool, but actively training people to change their daily habits to leverage it effectively.

The primary barrier to widespread AI adoption is not the power of the models, but the difficulty of embedding them into users' existing habits. Meeting users where they already are—like their email inbox—is more effective than forcing them to adopt new applications or behaviors.

A common AI implementation failure is assuming users think like technologists. Trivial technical details can be huge adoption blockers. To succeed, focus on building user trust and actively partner with customers to operationalize the technology, rather than simply delivering it and expecting them to figure it out.

Companies fail with AI when executives force it on employees without fostering grassroots adoption. Success requires creating an internal "tiger team" of excited employees who discover practical workflows, build best practices, and evangelize the technology from the bottom up.

The key to changing behavior is demonstrating immediate, personal value. Instead of abstract training, identify a universally disliked task—like a weekly report—and build a custom AI solution for it. Solving a major pain point is the most effective way to drive organic adoption.

Technology adoption is a social phenomenon. Employees are far more inspired and motivated by a colleague's success story—such as saving hours with a new internal bot—than by a vendor's marketing claims. Highlighting these internal wins is the most effective way to accelerate adoption.

If an AI pilot fails, it's likely a cultural issue if the technology was personalized for specific teams with clear use cases. When tools are made easy to adopt but usage remains low, the barrier isn't the tech; it's the team's mindset.