May 27, 2024
In the age of Generative AI, where Large Language Models (LLMs) are mastering the art of reading, synthesizing, and even generating information. The value of certain types of knowledge is shifting. Simply "knowing-that" (e.g., knowing that the capital of Portugal is Lisbon, of that a certain tax deadline is 31st Jan) is becoming less valuable as AI can quickly provide those facts at scale and speed.
So, what skills are at a premium now?
Knowing-How: This is the practical, hands-on expertise that AI can't replicate. Knowing how to build a data pipeline, cook a meal, or negotiate a deal. By this I mean actually accomplishing the tasks. These are skills that remain in demand.
Knowing What to Know: This is the strategic expertise that comes from experience. It's understanding complex systems, asking the right questions, and knowing which tools to use and when. It's the kind of expertise that drives effective decision-making and leadership.
Experts are essential and the nature of valuable expertise is evolving. In this new landscape, gaining practical experience and developing the ability to navigate complex situations are key.
What does this mean for all of us: more than ever we need to learn-by-doing. Get involved in doing things, not just in learning theory. Get expertise and get stuck in the details and difficulties of practical real world work.