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.
Are We Entering the Age of Data Nihilism?
The average internet user doesn’t think about the value of their data. They simply give it away to some of the wealthiest companies in the world, for free. Because of this behaviour, I fear we are living in an age of data nihilism, where our data means everything to AI developers yet almost nothing to us—not because our data actually is value-less, but because people feel powerless to stop it from being collected against their will.
https://time.com/article/2026/05/06/are-we-entering-the-age-of-data-nihilism-/
What happens to your business model when your customers stop being nihilistic about their data and start demanding it back?
The other prompts:
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Gen Z Is Turning Against AI in an Incredible Way
According to a recent report by the AI company Writer and research firm Workplace Intelligent, 44 percent of polled Gen Z workers said they’re “sabotaging their company’s AI strategy in at least one way,” from entering proprietary company information into chatbots to refusing to use AI tools outright.
https://futurism.com/artificial-intelligence/gen-z-turning-against-ai
The more young people use AI, the more they hate it
Fears that chatbots are wrecking critical thinking and social skills are common among many groups of young adults, even as a wide majority of them admit to using chatbot tools regularly
https://www.theverge.com/ai-artificial-intelligence/920401/gen-z-ai
The Case for Flexibility: Why the Future of Data Control Is Not a Single System
For most of the last decade, the fantasy of enterprise data has been consolidation. One platform, one model, and one source of truth. It was always a fantasy, and the evidence is now everywhere in front of us. The average enterprise runs dozens of data systems across multiple clouds.
AI success starts with clean data, not just better models
Why building an AI-ready foundation doesn’t stop at the technology
https://www.databricks.com/blog/ai-success-starts-clean-data-not-just-better-models
Your data left the building. Did anyone notice?
AI will not fail in the enterprise because it is not powerful enough, but because organizations cannot answer a basic question: Where does their data actually go?
https://www.cio.com/article/4166636/your-data-left-the-building-did-anyone-notice.html
Scalable IT infrastructure: Balancing speed with stability
Scalable IT requires balancing innovation speed with reliability through strong architecture, visibility and governance to reduce risk, complexity and technical debt.
Anthropic will let its managed agents dream
While you may not think of sleeping as a feature that will make agents more capable, the idea here is that, just like the human brain updates its memory network while a person sleeps, Claude in Managed Agents will now run a scheduled process that allows it to process and review any recent work it did.
https://thenewstack.io/anthropic-managed-agents-dreaming-outcomes/
