You can’t predict the future, but you can build the fitness to respond to it. The advantage isn’t prediction. It’s how fast your leadership team can notice and anticipate change and respond. Hence mind candy — an information stream to help you and your team think about what’s next.
Why Every CEO Needs An OpenClaw AI Strategy, Whether They Know It Or Not
OpenClaw is an open-source (meaning the source code is available to anyone) platform for building and deploying autonomous AI agents. Its existence means anyone with the right technical skills can build agents and provide the compute power needed for them to run. AI-ITunes?
The leadership question
What is the impact of open source AI? Combine that with BYOAI. Discuss with your MT.
The other prompts:
My latests book about books about AI
Data, acceleration, and the future of intelligence: Lessons from 25 core books about AI, technology abstraction, and consciousness. Also available as a board briefing.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
The days of the consulting generalist may be numbered
Artificial intelligence is shining new light on the $400 billion world of strategy consulting, and it might be tarnishing the allure of high-paid business strategists.
The Architecture of Authority: Why AI is Breaking the Traditional Hierarchy
We are moving from an era of “Systems of Record” to an era of “Systems of Action,” and most organizations are fundamentally unprepared for the shift in authority that follows. The challenge is that we are attempting to run 21st-century intelligence on top of 20th-century governance.
Why You Should NOT Become An AI Expert
While there is clearly a need for genuine AI experts, we still need experts in every other human domain. You’re much better off betting on yourself than betting on a technology you have little or no agency over.
https://digitaltonto.com/2026/why-you-should-not-become-an-ai-expert/
Securing AI: the identity challenge behind the AI boom
As AI agents scale rapidly, organisations must address identity, governance and control to ensure secure, accountable and trustworthy deployment
https://www.raconteur.net/technology/securing-ai-the-identity-challenge-behind-the-ai-boom
Data delivery delays are slowing decisions more than you think
In most organizations, the challenge with data is no longer whether it exists, but whether it can be delivered in time to be useful. Teams across finance, operations, marketing and product rely on data to answer everyday business questions, yet the process of delivering that data often takes longer than expected.
https://www.ibm.com/think/insights/data-access-delays-slowing-decisions
Predictive vs. Prescriptive Maintenance in IoT: Turning Data into Actionable Outcomes
As industrial organizations continue to digitize operations, maintenance strategies are undergoing a fundamental shift. Traditional reactive and preventive approaches are increasingly being replaced by data-driven methodologies enabled by the Internet of Things (IoT). Among these, predictive and prescriptive maintenance have emerged as two critical paradigms.
World’s smallest QR code, smaller than bacteria, could store data for centuries
Scientists have created a microscopic QR code so tiny it can only be seen with an electron microscope—smaller than most bacteria and now officially a world record. But this isn’t just about size; it’s about durability. By engraving data into ultra-stable ceramic materials, the team has opened the door to storing information that could last for centuries or even millennia without needing power or maintenance.
https://www.sciencedaily.com/releases/2026/03/260328043603.htm
To Scale AI Agents Successfully, Think of Them Like Team Members
When agents gain the ability to execute tasks—updating records, issuing refunds, routing approvals—they introduce operational risks that traditional software tools do not, including unpredictable behavior and unclear responsibility when things go wrong. To use them safely and effectively, organizations must treat them like digital employees, giving each one a defined identity, limited authority, trusted sources of information, clear controls over what it can execute, and audit trails that make its decisions explainable.
https://hbr.org/2026/03/to-scale-ai-agents-successfully-think-of-them-like-team-members
