Writing
The Red Giant began life as the name for my newsletter, and the name stuck, so the brand was born. Every article I've published is here, and every new one will be added here too.
Some of my articles are intended as practical advice, giving tips on how to use AI more effectively, how to build confidence with it, and how to make it more useful in your day-to-day work. Other pieces are broader and explore the impacts of AI. I write about what AI means for education and the future of work, and the bigger questions that come with that, for individuals, for organisations and for society.
If any of my articles resonates with you, or you have any suggestions for a topic I should be writing about, I'd love to hear from you.
All articles
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Why you can't be AI literate without being data literate
Data literacy is a commonly overlooked part of AI literacy. What being data literate actually means, why the quality of what AI gives you depends on the data behind it, and what good training should cover.
Working with AI -
Which AI tools and models should you use?
There is no single best AI tool for all use cases. How to match the tool to the job, when to reach for a more capable model, and why using more than one tool makes you harder to fool.
Working with AI -
What good AI training actually looks like
The market for AI training is filling up fast. A checklist for telling good from average: it starts with understanding you, it is live and current, it covers risks as well as opportunities, and it is designed for what happens next.
Working with AI -
Shadow AI, and why banning tools isn't the solution
AI is almost certainly already being used in your organisation without authorisation. Why banning it drives the problem underground, and what good governance looks like instead.
AI implications -
Why every organisation needs to take AI safety seriously
Seven ways AI can go wrong in an organisation, what you can do about it, and why safety is a leadership and governance responsibility.
AI implications -
Scaling judgement in an age of abundance
When judgement becomes the bottleneck, how do you design oversight that can scale safely?
AI implications -
AI is shifting the bottleneck from execution to judgement
As AI becomes faster and cheaper, the constraint moves from completing tasks to reviewing the quality of outputs.
AI implications -
Why you should be giving AI a role
A practical technique for improving results by asking AI to respond from a defined perspective.
Working with AI -
Bias in the machine: why fairness in AI is everyone's problem
Why generative AI models contain bias and how to check and challenge those biases.
Working with AI -
Is AI going to take my job?
A balanced look at how AI is reshaping work, and where human value is likely to remain.
AI implications -
Prompting: unlocking the magic of AI
A simple guide to getting better outputs by giving clearer instructions and context.
Working with AI -
Learning and assessment in the age of AI
How AI is changing education, and why adaptation needs careful thought rather than quick fixes.
AI implications -
Not (yet) seeing an AI boost? You're not alone
Why many people are not yet seeing major productivity gains, and what tends to get in the way.
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Why everyone needs AI literacy
Why understanding AI is quickly becoming a baseline skill for modern work.
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AI: the most powerful tool in human history
A first look at the scale of the shift AI represents, and the thinking behind this newsletter.
AI implications