Welcome to The Intersection, a monthly newsletter with leadership lessons from literature, data, and everything between!

It's 2026, and you'd be forgiven for thinking that hand-writing code is a thing of the past now. While that's not entirely true (yet), it is the case that the rapid advancement of generative AI in the last few years streamlines the process of building things with code.

So what does this mean for working with data, and specifically for visualising data? Well, it means that you can create high-quality charts with AI in a fraction of the time it would usually take to make them with other tools.
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In my latest post I'm going to show you how to do just that...

Recent blog posts

How to Make Charts That Shine Using AI Put your scepticism aside, it really is possible to create clear, impactful data visualisations with Gen AI now. Read article

Will AI Do to Code What CAD Did to Drafting? Looking at old photos of drafting rooms, I found a useful analogy for where software engineering is headed. Read article

The confidence that I have in my taste, and my ability to express what I feel The Rick Rubin approach to making digital products. Read article

Around the Web

​Something big is happening​ Like most people, I used ChatGPT the moment it came out. Unlike most, I've been building with AI on a daily basis for the past year. This article argues why you should too.

​Dashboards Should Mirror Theories of Change​ Apparently Amazon CEO Jeff Bezos thinks we should get rid of dashboards, because they track lag metrics when they need to be tracking lead metrics. Data visualisation expert Stephanie Evergreen explains how to solve this problem.

​Python is not a great language for data science​ I'm fascinated by why so many data practitioners choose a general-purpose programming language over one built for statistical computing and data visualisation. Of course as an advocate of R I am biased, but I think this piece makes a good argument for it.

That's all for now! If something here resonated with you, I'd love to hear about it - just hit reply (I read every email). And if you know someone who'd appreciate this blend of data, AI, leadership, and unexpected cultural insights, please forward this their way.

See you next time with more curious connections and practical wisdom.

Cheers,

Lee