The edges of judgment, Theory of Mind predicts human-AI value, AI for team performance, and more

December 15, 2025

“Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world.” — Albert Einstein

Leading Humans + AI Masterclass

I’m still running into the end of the year, as I’m sure many of you are. But at some point it will be time to let go and switch to holiday mode for at least a bit…

Lots to look forward to on the other side, including going back to Kuala Lumpur in April to run a 2 day masterclass on Leading Humans + AI. This will be for leaders of significant organizations in how to lead when value is created not just by people and technology, but how they are integrated into a cohesive organization.

Be well!

Ross

 

📖In this issue

  • Framework: Value Moves to the Edges of Judgment

  • Humans + AI update: Theory of Mind predicts human-AI collaboration performance, you can’t predict the impact of AI on jobs, enterprise AI adoption trends.

  • Humans + AI Podcast: Nicole Radziwill on organizational consciousness, reimagining work, reducing collaboration barriers, and GenAI for teams

💡Framework: Value Moves to the Edges of Judgment

As AI capabilities increase, human judgment will remain critical. however it will shift from routine cognitive tasks, that are often performed by AI, to the edges of judgment, where it really matters. Setting objectives with a context, assessing tradeoffs and the value judgments required for them, engendering trust, handling the exceptions where the AI can’t or shouldn’t be making decisions, and bringing meaning to bear.

🧠🤖Humans + AI

Theory of Mind capabilities predict performance using AI

A very interesting new paper shows that users with better 'Theory of Mind' social-cognitive skills are significantly better at collaborating with AI. These skills are strongly correlated in human and AI interactions, and in both cases improve real-world performance.

Why we shouldn’t try to predict the impact of AI on jobs

An excellent article by Tom Davenport analyzes the major attempts to predict the impact of AI on jobs, and how almost all have been wrong and erred, often substantially, in predicting negative outcomes. The impact is unpredictable, and we should instead take actions to make it as positive as possible.

Anthropic soars in enterprise usage as coding leads use cases

Menlo Ventures' latest report on GenAI in enterprise has many interesting findings, including Anthropic soaring to 40% of the enterprise LLM market. This is significantly due to coding taking the lion's share of enterprise departmental LLM spending - $4.2bn out of total $7.3bn - which is where Claude has been a standout leader.

🎙️This week’s podcast episode

Nicole Radziwill on organizational consciousness, reimagining work, reducing collaboration barriers, and GenAI for teams  

Why you should listen

Nicole Radziwill focuses on team performance, and brings insightful new approaches to helping people to work better together, unlocking new levels of collective capability..

Thanks for reading!

Ross Dawson and team