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About AI and the switch to becoming more of a manager

LinkedIn Post


💡 Not What You Know, but How You Manage - The New Knowledge Era
(and 5 important knowledge management skills to master)

How often have you wished for a tool that could summarize human knowledge? Well, it’s here! 🤯✨

Dan Shipper’s recent essay paints a picture of AI, particularly ChatGPT, as the ultimate knowledge summarizer. No more heavy time investments in summarization! ChatGPT is an abstraction layer over lower-level thinking, enabling us to tackle higher level topics.

✪ The focus shifts from “What you know” to “Knowing how to allocate resources”.
✪ We are evolving into knowledge managers, tasked with optimally allocating and managing knowledge resources.

This shift implies that as knowledge workers, we need to add (knowledge) management capabilities to our skill set:
✪ Allocating work to different AI models and techniques 🤖
✪ Ensuring work aligns with a coherent vision 🌐
✪ Articulating a concise, specific, and coherent vision 🎯
✪ Deconstructing complex tasks 🧩
✪ And knowing when to get in the weeds and when not to 🌿

The better equipped we are to use AI in our everyday lives, the more advantage we’ll have in the economy. This combination of hashtag#KnowledgeManagement with AI summarization can supercharge our capabilities to solve higher-level tasks 🚀

It is not just about what you know anymore, it’s about how you manage it. 💼

Are you ready to upgrade your skills and become a knowledge manager in the AI era and shape the hashtag#FutureOfWork?

👉 FOLLOW ME for more insights and discussions on hashtag#AI

What do you think the biggest challenge will be in this shift to knowledge management? 🤔 Drop your thoughts below! 👇

Content preparation

based on: About AI and the switch to becoming more of a manager

Core ideas:

  • Thanks to Dan Shipper for your great essay: About AI and the switch to becoming more of a manager
  • in his essay Dan provided a very interesting thought - ChatGPT as a summarizer of human knowledge
  • that frees us from the heavy time investment of summarizing and brings us to higher level topics - so AI can be seen as an abstraction layer over lower-level thinking.
  • This shift the focus from What you know to Knowing how to allocate resources. For instance, choosing which work has to be done, deciding on what is good enough and bringing in our creativity when it is not
  • We have to shift to become knowledge managers. This means how well can you allocate and manage knowledge resources to get work done
  • One big implication is that today’s knowledge workers need to add (knowledge) management capabilities to their skill set
    • how to allocate work to different AI models and approaches
    • how to make sure the work gets done well working with a coherent vision of what needs to be accomplished
    • this implies being able to articulate a concise, specific and coherent vision
    • knowledge how to break up complex tasks and orchestrate work
    • bringing in their intuition when to get into details and when not
  • A main conclusion: People who are better equipped to use different facets of AI in their day-to-day lives will be at a significant advantage in the economy
  • Another conclusion: Working with knowledge management approaches like Building a Second Brain and leveraging AI summarization to combine AI with my specific and unique focus and knowledge propels my capabilities to solve higher level work and create an impact

Headline teasers for phrasing a hooking headline:

  • Today’s knowledge workers are urgently required to add knowledge management to their skill set
  • It is not longer about what you know but to know how to allocate and manage knowledge

Posted on LINKEDIN on 2024-01-24_Wed


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