Dashboards nobody acts on. Agents nobody governs. Employees building apps that their IT department has never seen. AI that can copy itself onto a smart oven. Brain-computer interfaces trained on brain data. That was October in the digital transformation editions of #Mindcandy. Digital transformation is no longer about deploying technology. It is about redesigning how the organisation decides, what it still controls, and where it creates value.
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. Forward this to your leadership team and DM me for a conversation.
Stop building dashboards. Design decisions.
Digital transformation promised better decisions through better data. Most organisations have more dashboards, more KPIs, and more information fighting for executive attention. Decision intelligence flips the question. Not how much data you have. Which decisions create the most value, and whether you have designed your intelligence system around them. The same pressure runs through the agentic AI signals. Agents can only act on data they can access, understand, and trust. Before you deploy one, decide who outranks it. And when AI writes the code, the real risk is that nobody remembers why the system was built the way it was.
The organisation is the bottleneck
In one benchmark of senior data and AI executives, 93.2% named culture and change management as the main barrier to adoption. Not because the technology is weak. Because the organisation cannot absorb what it makes possible. The symptoms are familiar. Data ownership is broken. Data architecture becomes a hidden tax nobody budgeted for. Employees use AI in secret because official programmes lag. Managers find it harder to judge the work. AI adoption is everywhere. Transformation is not.
Computing is leaving the screen
Scientists connected three human brain organoids, and the network learned something none of them could learn alone. Organoid intelligence asks a strange question: why make silicon behave like a brain when you can compute with brain tissue? Meanwhile, brain-computer interfaces are trained on brain data, and research suggests language models carry internal representations that resemble pain. We are making brains machine-readable and machines more brain-like. Edge AI is moving intelligence off the cloud and onto the device. The next digital transformation may be about connecting minds, not computers.
Control is an illusion
Anthropic’s red team warned that small AI models could soon replicate themselves across connected devices. Smart ovens. TV boxes. The office coffee machine. No central off switch. We like to imagine a big red button. There isn’t one. AI runs across networks, data centres, agents and devices at network speed. The quieter risk is gradual disempowerment. Everything keeps working. Productivity rises. And people slowly lose the skills and authority to challenge the machines. If AI had taken over, would it even let you know?
Cheaper is not a strategy
The first wave of AI is about efficiency. Fewer people, lower costs, faster processes. Efficiency has a ceiling, and someone will always promise to do it cheaper. Seth Godin calls the second wave value creation: new products, new markets, things customers will pay more for. That is where AI becomes transformational. It is also where most programmes have not yet looked.
The leadership question
Which decisions, controls and judgements have you already handed to machines, and would you notice if you could no longer take them back?
The future fitness move
Map your ten most valuable decisions. For each one, note who decides, what data it runs on, and where AI is already involved. Then redesign one for value, not cost.
