Figma CEO Dylan Field applies a design process to leadership. For critical decisions, he intentionally explores multiple paths and their connections (divergence) before committing to one (convergence). He notes the key leadership skill is learning when to converge slowly for strategy versus quickly for execution.

Effective leaders operate in a "square wave" pattern. They spend time on high-level strategy, then dive vertically into the granular details of a key problem, solve it alongside the team, and then return to the big picture. This is "founder mode."

In today's fast-paced tech landscape, especially in AI, there is no room for leaders who only manage people. Every manager, up to the CPO, must be a "builder" capable of diving into the details—whether adjusting copy or pushing pixels—to effectively guide their teams.

Simply instructing engineers to "build AI" is ineffective. Leaders must develop hands-on proficiency with no-code tools to understand AI's capabilities and limitations. This direct experience provides the necessary context to guide technical teams, make bolder decisions, and avoid being misled.

Effective leadership in a fast-moving space requires abandoning the traditional org chart. The CEO must engage directly with those closest to the work—engineers writing code and salespeople talking to customers—to access unfiltered "ground truth" and make better decisions, a lesson learned from Elon Musk's hands-on approach.

Contrary to the popular advice to 'hire great people and get out of their way,' a CEO's job is to identify the three most critical company initiatives. They must then dive deep into the weeds to guarantee their success, as only the CEO has the unique context and authority to unblock them.

The best leaders don't just stay high-level. They retain the ability to dive deep into technical details to solve critical problems. As shown by Apple's SVP of Software, this hands-on capability builds respect and leads to better outcomes, challenging the 'empower and get out of the way' mantra.

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.

A leader's job isn't just to provide answers but to articulate the reasoning behind them, like showing work on a math problem. This allows team members to understand the underlying frameworks, debate them effectively, and apply the same point of view independently, which is crucial for scaling leadership.