Rufus Curnow

In our previous article, AI Literacy: The Foundation of AI Capability, we set out why AI literacy matters. The next question is the practical one: what do we actually mean by it? At Dixon AI, we define AI capability as the combination of talent, purpose, AI literacy, AI tools and data infrastructure. Each matters, and each strengthens the others. An organisation can invest in tools and improve its data environment, but if its people do not understand how AI works, where it fits, and how to...

In our work with more than two hundred organisations across sectors and regions, the same set of questions comes up again and again. How do we get a return on investment from AI? How do we introduce AI into the business without creating unnecessary risk? How do we train our people so that AI actually improves how work gets done? These questions surface consistently in boardrooms, leadership teams and transformation programmes. They are sensible questions, but they point to a deeper issue....

The biggest AI stories you might have missed - GPT-5.4, Anthropic vs the Pentagon, and the rise of AI-driven work.