Ideas, insights and perspectives on AI strategy and training.
Deeper perspectives on the strategic challenges of AI adoption.
February 2026
Philippa Cameron
AI transformation fails when leaders treat it as something for IT to roll out. This edition examines why leaders must invest in their own AI education first.
January 2026
Chris Hornby
Nearly 90% of organisations use AI but only 6% capture meaningful returns - a gap that comes from workflow and organisation design, not from the technology.
Short-form insights and commentary shared on LinkedIn.
Chris Hornby
12 February 2026
Anthropic's Cowork launch wiped $285 billion off SaaS stocks, but the sell-off conflated two very different threats: a genuine structural challenge for single-user workflow tools and mere budget pressure on enterprise coordination platforms.
Philippa Cameron
11 February 2026
Updating our GenAI foundation course felt like the early 2000s all over again. The tools are different, but the capability challenge - prompting, iteration, critical thinking - is remarkably familiar.
Chris Hornby
6 February 2026
Anthropic retakes the lead on frontier benchmarks with Opus 4.6. The competition is great for end users, but the elephant in the room is Microsoft - where most businesses have locked in their AI bet.
Philippa Cameron
28 January 2026
Ten working tools built in a single day by a non-developer. What mattered most wasn't technical skill but clarity of intention, prompt iteration and thoughtful design.
Chris Hornby
25 January 2026
The companies seeing real ROI from AI do two things well: they are clear about what AI is for, and they give their people the ability to use it. One without the other does not compound.
Philippa Cameron
20 January 2026
Microlearning isn't just a trend - it reflects how learning actually works in modern organisations. Short, focused units help people build capability in the flow of work and apply knowledge immediately.
Chris Hornby
19 January 2026
Klarna at scale and SMEs in day-to-day workflows are learning the same lesson: AI is strong where work is predictable, humans are strong where it requires judgment and empathy. The future is AI clearing the noise so people can do the work that matters.
Chris Hornby
14 January 2026
AI cost reduction is a sign of a maturing ecosystem. As models improve, the question shifts from "can AI do this work?" to "can a cheaper model do it at the same quality?"
Chris Hornby
10 January 2026
LLMs are now adding to human knowledge in a real, quantifiable way. PhD-level talent is available at very low monthly cost - the challenge is how to turn that into ROI.
Chris Hornby
5 January 2026
You can't predict where AI will take root. All you can do is be ready to capitalise when it does. The simplest silver bullet is investing in your people.
A regular round-up of what we think you should be reading, AI tool updates worth knowing about, and practical insights to keep you current.
Articles coming soon.