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.
When everyone has AI and the company still learns nothing
Your people are using AI every day. The organisation is learning precisely nothing. Individuals prompt, get answers, move on. The insight dies in the browser tab. Nobody captures it. Nobody routes it. The missing piece isn’t adoption. It’s loop intelligence — moving discoveries from individuals to teams to organisational capability. Without it, you’re renting intelligence. You never own it.
AI is exceptional at precedent matching, risk flagging, pattern recognition — the tasks that passed for judgment when humans did them slowly. Automate those and you don’t eliminate the need for judgment. You expose how little of it there ever was.
AI gives you operational intelligence on tap. What it doesn’t give you is the organisational metabolism to absorb it. Speed of insight without speed of learning is just expensive noise.
- https://www.robert-glaser.de/when-everyone-has-ai-and-the-company-still-learns-nothing/
- https://nysba.org/ai-accelerates-operational-intelligence-not-wisdom-the-legal-profession-spent-decades-mistaking-one-for-the-other/
- https://every.to/p/socrates-as-a-service
How fit is your management team to turn individual AI use into organisational capability — before the gap between what your people know and what your company learns becomes the real competitive risk?
The other prompts
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AI Creates New Cross-organizational Job Categories
AI-related jobs now span the org chart, from gig work at the margins to roles inside engineering teams and up to the C-suite
https://letsdatascience.com/news/ai-creates-new-cross-organizational-job-categories-65897d34
Enterprise AI hits barriers as privacy, sovereignty demands grow
For years, enterprise architecture has been designed to move data across systems, clouds, and borders with speed and efficiency. That model is now showing its limits.
https://e27.co/enterprise-ai-ntt-data-20260515/
AI is creating a generation of developers who can’t debug their own code
AI coding tools have decoupled output from understanding. Engineering leaders are starting to feel it in code review.
https://thenewstack.io/ai-generation-who-cant-debug/
Research: Traditional Marketing Doesn’t Work on AI Shopping Agents
New research shows that many classic e-commerce persuasion tactics built for human psychology—scarcity, countdown timers, strike-through pricing, vouchers, and bundles—do not reliably influence AI agents and can even reduce selection depending on the model and product category.
https://hbr.org/2026/05/research-traditional-marketing-doesnt-work-on-ai-shopping-agents
SAP Wants AI Agents To Run Your ‘Autonomous Enterprise’
Business context, not foundation models, is the defining problem in enterprise AI
https://www.forbes.com/sites/victordey/2026/05/12/the-end-of-the-erp-era-sap-wants-ai-agents-to-run-your-autonomous-enterprise/
The enterprise risk nobody is modeling: AI is replacing the very experts it needs to learn from
The AI systems being built today were trained on the expertise of people who went through exactly that formation. The difference now is that entry-level jobs that develop such expertise were automated first. Which means the next generation of potential experts is not accumulating the kind of judgment that makes a human evaluator worth having in the loop.
https://venturebeat.com/technology/the-enterprise-risk-nobody-is-modeling-ai-is-replacing-the-very-experts-it-needs-to-learn-from
