To accelerate your career, focus on developing 'agency'. This means moving beyond assigned tasks to proactively solve unspoken, systemic problems. Instead of chasing high-visibility projects, look for the unaddressed issues that keep leaders up at night. Solving these demonstrates true ownership and strategic value.

Superhuman's CTO credits a non-tech role managing submarine maintenance with teaching him to lead without technical legitimacy. By being forced to put his ego aside and drive change by asking fundamental questions, he learned to influence people far smarter in their domain.

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.

With AI agents automating raw code generation, an engineer's role is evolving beyond pure implementation. To stay valuable, engineers must now cultivate a deep understanding of business context and product taste to know *what* to build and *why*, not just *how*.

The transition from a hands-on contributor to a leader is one of the hardest professional shifts. It requires consciously moving away from execution by learning to trust and delegate. This is achieved by hiring talented people and then empowering them to operate, even if it means simply getting out of their way.

The pivot from a pure technology role (like CTO) to product leadership is driven by a passion shift. It's moving from being obsessed with technical optimization (e.g., reducing server costs) to being obsessed with customer problems. The reward becomes seeing a customer's delight in a solved problem, which fuels a desire to focus entirely on that part of the business.

The most valuable professionals are neither pure visionaries nor pure executioners; they are "step builders." This means they can understand a high-level strategic vision and then map out the granular, sequential steps required to achieve it. This skill is critical for turning ambitious goals into reality.

AI tools are collapsing the traditional moats around design, engineering, and product. As PMs and engineers gain design capabilities, designers must reciprocate by learning to code and, more importantly, taking on strategic business responsibilities to maintain their value and influence.

AI's rise means traditional product roles are merging. Instead of identifying as a PM or designer, focus on your core skills (e.g., visual aesthetics, systems thinking) and use AI to fill gaps. This 'builder' mindset, focused on creating end-to-end, is key for future relevance.