Business leaders often assume their teams are independently adopting AI. In reality, employees are hesitant to admit they don't know how to use it effectively and are waiting for formal training and a clear strategy. The responsibility falls on leadership to initiate AI education.

The key for go-to-market leaders to stay relevant is hands-on experience with AI. Instead of delegating, leaders should personally select an AI tool, ingest data, and go through the iterative training process. This firsthand knowledge is a rare and highly valuable skill.

Simply buying an AI tool is insufficient for understanding its potential or deriving value. Leaders feeling behind in AI must actively participate in the deployment process—training the model, handling errors, and iterating daily. Passive ownership and delegation yield zero learning.

To effectively integrate AI, business owners cannot simply delegate the task. They must first undergo hands-on AI training themselves to grasp its potential. This firsthand knowledge is crucial for reimagining workflows and organizational structure, rather than just making incremental improvements.

Brian Chesky predicts that in an AI-driven world, managers who only manage people without being involved in the actual work will become obsolete. To provide value, every leader must be a practitioner in their domain and manage people *through the work* rather than acting as a therapist.

It's nearly impossible to hire senior product or engineering leaders who are also fluent in AI. The advice for experienced managers is to step back into an Individual Contributor (IC) role. This allows them to build hands-on AI skills, demonstrating the humility and beginner's mindset necessary to lead in this new era.

The pace of change in AI means even senior leaders must adopt a learner's mindset. Humility is teachability, and teachability is survivability. Successful leaders are willing to learn from junior colleagues, take basic courses, and admit they don't know everything, which is crucial when there is no established blueprint.

Unlike past tech shifts like the cloud, becoming “AI-first” requires leaders to have a deeper technical understanding. They must grasp concepts like AI memory and accuracy to evaluate costs versus returns and identify where the technology can be realistically applied.

While senior leaders are trained to delegate execution, AI is an exception. Direct, hands-on use is non-negotiable for leadership. It demystifies the technology, reveals its counterintuitive flaws, and builds the empathy required to understand team challenges. Leaders who remain hands-off will be unable to guide strategy effectively.