Ron Immink

I help companies by developing an inspiring and clear future perspective, which creates better business models, higher productivity, more profit and a higher valuation. Best-selling author, speaker, writer.

Top 10 #mindcandy trends — july 2026

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An overview of the #mindcandy in July 2026: Natural capital becomes a balance-sheet issue — environmental damage and resource dependency move from externalities to material business risk. 3D printing moves into mainstream operations — additive manufacturing shifts from innovation experiment to production, supply-chain, and product-design capability. Science fiction becomes operating reality — biological computing, synthetic

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AI is not just changing work. It is weakening organisational agency

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AI agents. Semantic infrastructure. Tactile robots. Wearables. Brain-computer interfaces. Programmable biology. 3D printing. Superintelligence. But they pointed to the same underlying issue: Organisations are gaining technological capability while losing the ability to understand, challenge, and control what they are becoming. That is the real strategic risk. AI is becoming infrastructure AI is moving beyond productivity

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Digital transformation #Mindcandy: AI risk

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Use #Mindcandy as a strategic sensing engine to help leadership teams identify the signals they are missing. It fuels the strategic conversation about what is next. DM “SIGNALS” to find out more. There is a one-in-five chance of AI killing millions Most boards discuss AI risk in terms of hallucinations, data leakage, bias and compliance.

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Start-ups and AI as an experimentation machine

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AI is everywhere. And it is a perfect start-up tool. Particularly in helping  answer the same fundamental questions start-ups always have:  Who is my customer?  What problem can I help them solve?  How do I make money and build a sustainable, profitable business? “The Experimentation Machine: Finding Product-Market Fit in the Age of AI” According

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Organisational design eats everything

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Culture eats strategy for breakfast. It is true. It is also incomplete. Because something else eats culture. Organisational design. Function follows form. The way an organisation structures reporting lines, decision rights, team boundaries, information flows, incentives and technology governance is not simply an expression of its culture. It is the container that shapes that culture.

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Digital transformation #Mindcandy: singularity and superintelligence

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Use #Mindcandy as a strategic sensing engine to help leadership teams identify the signals they are missing. It fuels the strategic conversation about what is next. DM “SIGNALS” to find out more. Distributed singularity? Sam Altman says we’re in the singularity.  Two years ago, unpacking Kurzweil’s epoch framework, we called this the steep part of

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#Mindcandy: How adaptive are you?

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Use #Mindcandy as a strategic sensing engine to help leadership teams identify the signals they are missing. It should fuel the strategic conversation about what is next. DM “SESSION” to find out more. Digital transformation can make organisations more fragile The enterprises that survive to 2035 will not necessarily be the most digital, automated or

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Digital transformation #mindcandy: AI and semantics

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Use #MindCandy as a strategic sensing engine to help leadership teams identify the signals they are missing. It fuels the strategic conversation about what is next. DM “SIGNALS” to find out more. Most Semantic Layers Were Built for BI: What a Semantic Layer for AI Requires AI knows where the data lives. It may not

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Assume your AI has food poisoning

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Most leadership teams believe their proprietary data will give them an AI advantage. That is comforting. It is also usually wrong. What most organisations call a data asset is a mixture of outdated records, conflicting definitions, duplicated files, undocumented processes and knowledge trapped inside people’s heads. It is less a data moat than a data

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Context rot: the real reason AI can’t do your strategy for you

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In May 2023, I asked a question that felt like provocation for its own sake: will AI become the new McKinsey? ChatGPT was four months old. Most companies were using it to write emails. The idea that a language model might replace strategic advisory sounded like a stretch. It wasn’t a stretch. It was a

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