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.
Researcher “gave Claude Code ‘ADHD’… and it thinks 2x better now.” Outside experts want more proof.
Imagine an AI that jumps between ideas, hyperfocuses on the wrong thing, makes connections nobody asked for.
An ADHD-style AI would branch, wander and attack the problem from odd angles. It would create options before choosing answers. With a critic layer, it could cut through the noise and deepen the ideas worth pursuing. Linear AI gives you the obvious answer faster. ADHD AI gives you the answer you would never have thought to ask for.
Restless AI could also flood teams with ideas, edge cases, false positives, half-solutions and clever nonsense. It could make already distracted organisations even more distracted. It could reward novelty over usefulness. It could turn strategy into a hallucination factory with a bigger token bill.
https://thenewstack.io/claude-code-adhd/
The leadership question
Do you have the judgement, filters and decision discipline to use exploratory AI, or will it simply make your organisation noisier?
Build an AI exploration protocol. Define when to use divergent AI, who reviews the outputs, what counts as a useful option, what gets killed, and how ideas move into experiments.
The other prompts:
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3 actions top executives and board leaders can take to help safeguard data credibility
Scenario planning and agile governance are only as strong as the data that underpins them. How can leaders discern if information used for decision-making can be trusted?
https://www.deloitte.com/us/en/insights/topics/business-strategy-growth/data-governance.html
Your AI Is Making Million-Dollar Decisions Based On Data Nobody Understands
AI doesn’t hesitate when your data is wrong. That’s the problem.
The Next Era of ERP Will Look Nothing Like the Last One
More than 70 percent of recently implemented ERP initiatives will fail to fully meet their original business use-case goals
AI hallucinations pose serious questions for professional services
As high-profile hallucination scandals hit firms like EY and Deloitte, professional services face a critical reckoning: if premium consulting reports are being quietly drafted by unverified bots, what exactly are clients paying for?
Tech CEOs are apparently suffering from AI psychosis
CEOs don’t really understand processes well enough to know what really can and can’t be automated. But that lack of knowledge doesn’t stop them from acting on their beliefs.
https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/
Why Your Digital Transformation Is Already Obsolete: The Rise Of The Augmented Intelligent Enterprise
The Strategic Shift: From Substitution To Augmentation. Where human intelligence, machine intelligence and structured knowledge are combined into a unified system.
The Risks of Delaying Quantum Encryption Strategies
Quantum computing is advancing on a trajectory that is increasingly difficult to ignore. Whether the exact timeline is five or ten years, the direction is clear.
The Audit Trail Problem in AI: Why Data Lineage Matters More Than Ever
Data lineage, the ability to trace data from its origins through every transformation to its final destination, is the foundation of any serious audit capability for AI.
https://tdwi.org/blogs/data-101/2026/05/the-audit-trail-problem-in-ai.aspx
