π¨ Weekly digest: 35 2025 | Beyond the algorithm
Part 1/3: a series on leadership in the AI era | The compass and the map: guiding your team with AI
ππ» Hello, legends, and welcome to the weekly digest for week 35 of 2025.
We're living in an unprecedented era of technological advancement, sprinting towards AI milestones that once seemed like science fiction.
But amidst the excitement around faster code generation and instant answers, a fundamental question is often overlooked:
What happens to leadership when the "how" becomes effortless?
Read the intro of this special series: What happens to leadership when answers are instant?
Letβs take a closer look at this, understand why it matters, and whatβs at stake
Imagine a world where turning a rough idea into a functional prototype takes mere seconds, where every question posed to a machine yields a comprehensive answer almost instantaneously.
This isn't a distant future; it's the trajectory we're on.
In such a landscape, the traditional role of a leader, often associated with technical prowess and overseeing execution, faces a profound transformation.
The bottleneck is shifting. It's no longer about who can execute tasks most efficiently. AI is rapidly taking over that domain.
Instead, the crucial differentiator for effective leadership is intention. AI, for all its sophistication, is a mirror. It reflects the clarity (or confusion) of its user. It lacks inherent strategic thinking and a moral compass. It can build the code, analyze the data, and generate the reports, but it can't define why those things matter or what ultimate outcome is desired.
This means the true test of leadership in the age of AI is no longer about deep technical mastery.
While a foundational understanding remains beneficial, the premium is now on judgment, clarity of vision, and a profound understanding of the problems worth solving.
Leaders must be able to articulate the "what" and the "why" with such precision that AI can become a potent tool in achieving meaningful goals.
While AI empowers us with unprecedented access to information and capabilities, it also carries the risk of complacency. We might be tempted to accept the AI's output without critical evaluation, potentially overlooking flaws in our initial assumptions or the model's interpretation.
How do you check your habits? How do you engage with AI? How do you measure your engagement?
By focusing on outcomes, criteria, and testable hypotheses, we shift our thinking from simply seeking information to driving towards specific, measurable results.
This subtle shift in how we interact with AI marks the first step toward embracing the new era of leadership β one where intention reigns supreme.
Yael.