🌿 Human thinking in the age of AI

Do human skills still matter in an AI world?

Clearly, the answer (at least in mid-2025!) is yes! - human skills still matter. But what is also clear is that the nature of the skills that we need to bring to the workplace is shifting - we need to adapt and develop our uniquely human skills.

According to McKinsey & Company Superagency in the workplace, agentic automation could eliminate 40-60% of repetitive cognitive tasks in enterprise workflows by 2027, but a common frame of thought is that AI should augment, not replace human workers.

So we need a mindset shift if we are to use AI as a strategic collaborator. This is particularly important given growing research on 🌿 The impact on the brain of using AI.

We also need to get clear about 🌱 What AI Can Do (and What It Can’t) - a position that will undoubtedly change but is key.

And from that we can assess Thinking models that still matter. In particular, it is currently vital to check the accuracy of results, particularly regarding linked sources: https://www.theregister.com/2025/05/15/anthopics_law_firm_blames_claude_hallucinations/

In order to understand the limitations of LLMs, it is useful to get a grasp on 🌿 Comparison of human learning and LLM 'learning' and 🌱 Tokens in Large Language Models.