You can’t predict the future. You can build the fitness to respond to it. #MindCandy is fuel for strategic conversation about what’s next. Send this to your leadership team in your organisation — or start the conversation yourself.
The next AI advantage will not come from access to AI
That is already becoming a commodity. Everyone can buy the same models. The difference is whether the machine is learning from something your competitors do not have: your data, your workflows, your judgement, your customer history, your exceptions, your failures, your decision-making.
This is proprietary intelligence. Turning the way your organisation actually works into a compounding intelligence system. This is where digital transformation becomes organisational wisdom.
AI does not magically make a company intelligent. It amplifies the intelligence, confusion, silos and habits already inside the business. If your organisation cannot define what a customer means, what good judgement looks like, where decisions are made, or how learning travels, AI will not fix that. It will scale the mess.
The leadership question
What intelligence do we own that no competitor can copy?
The future fitness move
Pick one workflow that matters. Map the data, decisions, exceptions, judgement and feedback loops inside it. Then redesign it so every cycle makes the organisation smarter.
The other prompts:
Free downloads
12 free books on strategy, innovation, intrapreneurship, AI, future trends and leadership. Each one distils the best thinking from dozens of business books into a single, actionable read. Every book is also available as a BookBuzz session, board briefing or keynote.
AI Is Making Us Question What It Means to Be Human. Should It?
In this brave new world of advanced, statistical prediction AI systems, perhaps we need to worry less about whether AI can do the things that we can do and focus more on the brute fact that humans are special just because we’re human?
https://thedispatch.com/article/artificial-intelligence-human-consciousness/
Agentic infrastructure operations begin with accurate, reliable infrastructure data
No matter the domain, AI agents are only as good as the data they’re given. Agents without a complete and accurate picture of the network and associated infrastructure will make confident mistakes. In infrastructure, those mistakes have brand and revenue-related consequences.
https://thenewstack.io/netbox-infrastructure-ai-agents/
Why the Most Successful AI Strategies of 2026 Start with a ‘Stop-doing’ List
Successful AI strategies in 2026 will be defined by leaders’ ability to stay focused and consistent as the market becomes increasingly saturated. In many cases, that means doing less—not adding more to an already overloaded to-do list.
Would You Trust AI for Ethical Advice?
The preference for a human answer goes down a lot once they see the quality of the AI.
https://knowledge.wharton.upenn.edu/article/would-you-trust-ai-for-ethical-advice/
Unapproved AI use shows adoption is outpacing governance
While there’s little question AI is now more or less ubiquitous, data also indicates big variations in the extent to which AI is being used, and also in how well it’s being used
https://www.raconteur.net/risk-regulation/unapproved-ai-use-shows-adoption-is-outpacing-governance
Top developers are pivoting from chatbots to physical AI
Scientists are applying AI in new dimensions with ‘world models’
https://apnews.com/article/ai-world-models-physical-embodied-ai-9bab5a3febad9832f55f8ada33de57b4
The Digital Twin Revolution: Virtual Models That Actually Help You Decide
A digital twin is not just a dashboard, not just a 3D render, and not just a one-off simulation you run once and forget. It is a living virtual version of something real, an asset, a process, a system, even an environment, that keeps pulling in data from the physical world as things change.
Your engineering org needs an AI slop registry
Stop AI coding tools from scaling mistakes. Discover how an AI slop registry and separate verification enforce repo standards.
