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The 6 questions in my head right now

  • Writer: Dan Godden
    Dan Godden
  • May 4
  • 2 min read

I’m struggling to keep up.


A month ago I was talking to a mate who works in the Bitcoin space and we were both just… tired. It's the change. The feeling of needing to be on top of everything.

The sense that every week some lab drops an update and we're into a new era again. That wrecks me.


On top of that, there's this critical internal voice as a consultant, pressuring me to make sure I stay ahead of everything for the sake of my clients and partners (or risk being caught out as an imposter). That's silly, but the pressure is there anyway.


A few weeks ago at a Salesforce event I heard a piece of advice from ​Justin Tauber​ that he adapted from Richard Feynman (waaay before LinkedIn – go check him out on Wikipedia, LinkedIn for dead people).


Try to keep 6 open questions in your head around new technology. That way, you don't get so overwhelmed, and the stuff you learn stays practical.


So I thought I'd put together a newsletter/braindump for our SolveSimple community where I can reflect on some of the questions in my head, and the things I'm reading to try and answer them.


Honestly, I need to slow down and ruminate a little, and this gives me an excuse to do that.

For what it's worth, here's my working 6.


These aren't all necessarily the big questions that YOU should be asking - they're just the questions that matter most to me at the moment. I love the people I get to work alongside and so that's probably why these questions are most pressing for me.

You can steal them and send me any thinking you have on these or come up with your own 6 in your context.


1) In an AI-shaped workplace, what is the role of software platforms in the operating model, and how do the human roles around them need to change?


2) What happens to people’s sense of value and achievement when AI automates the tasks that gave work its rhythm, progress, and closure?


3) How does the organisational ownership of AI shape its priorities, use cases, and impact on the ground?


4) How should work be measured and rewarded in a world where automation changes the link between time, effort, and output?


5) How should AI be introduced so that it builds people’s capability, confidence, and judgment rather than quietly taking those things away?


6) If AI makes work easier, what still makes work worth doing?


I don't have tidy answers to these yet, but these questions are shaping a lot of how I'm thinking about our work with clients and SolveSimple more broadly.


I’ll be exploring some of these more publicly over the coming weeks. Stay posted. Also, if any of these questions are live for you and your team right now, I'd love to hear from you. Drop a comment below.


Dan


 
 
 

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