CMO Laura Kneebush argues that trying to "get good at AI" is futile because it evolves too quickly. Instead, leaders should focus on building organizations that are "good in a world that's going to constantly change," treating AI as one part of a continuous learning culture.

With AI models and workflows becoming obsolete in as little as a year, mastering a single tool is a failing strategy. The most valuable skill is becoming comfortable with constant change and the process of repeatedly being a beginner, as this adaptability is the only sustainable advantage.

With frontier AI models doubling their autonomous task-handling capability every seven months, any specific tool or workflow will quickly become obsolete. The sustainable career advantage lies not in mastering one system, but in developing a habit of constant experimentation to adapt to the accelerating pace of change.

Proficiency with AI is less about technical mastery and more about the user's ability to think critically and ask complex questions. The main differentiator between an expert and a novice user is the complexity and quality of their thinking, not hours of practice.

The landscape of AI tools and tactics changes rapidly. Instead of chasing the latest setup guides, focus on understanding the underlying design and engineering philosophies. This knowledge is more durable and allows you to adapt to new tools as they emerge.

It's impossible for any individual to keep up with every technological advancement. Instead of aiming for mastery of everything, professionals should focus on identifying and learning the specific tools and changes that are most relevant to their unique roles and goals.

Previous enterprise software, like SAP or Salesforce, only required users to learn its functions. AI is different because it's a partner you must also teach. The quality of its output depends entirely on the quality of your instruction, requiring a new meta-skill of co-evolution with technology.

AI capabilities are evolving so rapidly that specific tool expertise is fleeting. The durable skill is a mindset of playful curiosity: consistently testing the newest models on your own work problems to discover their emerging capabilities and how they can extend your powers.

An AI educator and founder advises against the misconception that staying current requires using dozens of AI tools. Instead, she advocates for achieving mastery with one or two core platforms like ChatGPT or Claude, emphasizing that deep, skillful usage is more valuable than superficial breadth.