I help organisations become future-fit. Digital transformation #mindcandy scenario prompts are designed to stretch your imagination and sharpen situational awareness. Find out more here.
Today´s prompt: Treating ChatGPT like a God
AI is quietly becoming a source of comfort, meaning and guidance for millions of people. Employees are already asking AI for advice on careers, relationships, ethics and big life choices — often with more honesty than they show their managers. As AI takes on a quasi-spiritual role in people’s lives, the boundary between “productivity tool” and “source of truth” starts to blur.
CEO question:
If more of your people are turning to AI for reassurance, decisions and even “truth”, what does that mean for your culture, leadership and risk governance?
Mindcandy club
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Other prompts:
You are the upgrade
Data, acceleration, and the future of intelligence: Lessons from 25 core books (and links to 114 other books) about AI, technology abstraction, and consciousness.
Why Digital Transformation—And AI—Demands Systems Thinking
Rather than viewing your organization as a collection of departments executing tasks, it recognizes that you’re managing an intricate ecosystem where components— people, processes, culture and technology—are interdependent and constantly influencing each other.
Garbage in, garbage out: The importance of data quality when training AI models
Without quality data to train on, the AI likely won’t deliver the results people are looking for and any investment made into training the model won’t pay off in the way it was intended.
Why some people are treating ChatGPT like a God – and what that means for the future of faith
AI is becoming a source of comfort, meaning, and guidance – and religions are taking notice
How HR leaders can handle their newest colleagues: AI agents
AI agents are beginning to take on real operational work – and HR will be the function that determines whether they succeed
https://www.raconteur.net/talent-culture/how-hr-leaders-can-handle-their-newest-colleagues-ai-agents
Agentic AI: Ushering in a New Era for Database Management
Data volumes are skyrocketing, regulatory complexity is mounting, and traditional database administration methods are buckling under the pressure.
https://formtek.com/blog/agentic-ai-ushering-in-a-new-era-for-database-management/
Cybersecurity Is Now a Core Business Discipline
Cyber risk has become the background noise of modern business. We’re seeing nearly two thousand attacks per organization per week in the first quarter of 2025—a 47% rise year-on-year
https://www.securityweek.com/cybersecurity-is-now-a-core-business-discipline/
Data quality issues, defined
Data quality issues are flaws in datasets that can compromise decision-making and other data-driven workflows at an organization. Common examples include duplicate data, inconsistent data, incomplete data and data silos.
https://www.ibm.com/think/insights/data-quality-issues
3 ways AI agents will make your job unrecognizable in the next few years
Agents will enable our systems and complete our tasks. AI will consume traditional software applications. Business leaders must address integration and governance.
AI Agents Aren’t Ready for Consumer-Facing Work—But They Can Excel at Internal Processes
Companies can create value with agentic AI, but they often start in the wrong place. While it can be tempting to use agentic AI for customer-facing applications, those tend to be complex, messy, and unforgiving of errors—not ideal for agentic AI.
https://hbr.org/2025/11/ai-agents-arent-ready-for-consumer-facing-work-but-they-can-excel-at-internal-processes
