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.
When agents hit the walls
AI agents fail when enterprise systems are disconnected. But every failure can be your blueprint for success.
https://www.cio.com/article/4152582/when-agents-hit-the-walls.html
AI Agents Act a Lot Like Malware. Here’s How to Contain the Risks.
AI agents can provide enormous benefits, but they can also behave a lot like malware, acting autonomously and causing harm if left unchecked. As companies rush to deploy them, they should make sure they are containing the risks.
https://hbr.org/2026/03/ai-agents-act-a-lot-like-malware-heres-how-to-contain-the-risks
The hidden technical debt of agentic engineering
Integration, context, hidden agents, approval systems, and workflow.
https://thenewstack.io/hidden-agentic-technical-debt/
The leadership question
How agent dependent are you? Apply Murphy’s law.
The other prompts:
You are the upgrade
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/you-are-the-upgrade/
Application Modernization & Data Fabric: A Practical Blueprint for Building an AI-First Enterprise
Enterprises have invested heavily in modernization. The 6R approaches, like rehost, replatform, refactor, re-architect, rebuild, and retire, cut technical debt, improve scalability, and modernize user experiences.Yet the returns fall short of expectations.
Is Your AI System Ethical? Try This Assessment
The prosocial AI index offers business leaders a practical, auditable way to assess whether their AI systems are genuinely good
https://knowledge.wharton.upenn.edu/article/is-your-ai-system-ethical-try-this-assessment/
AI raises the ceiling on growth. Data determines how high you go.
It’s tempting to focus on the intelligence of the system, but AI acts more like an amplifier: it learns from your enterprise data and scales whatever that data contains. When the foundation is fragmented or low quality, the output is too.
https://business.adobe.com/blog/steps-to-make-your-data-ready-for-ai-success
Connected Data: What Happens When Everyone Works From the Same Source of Truth
When engineering, manufacturing, and supply chain aren’t aligned around the same information, progress slows and rework becomes inevitable. That’s why connected data has become foundational to modern product development.
https://www.autodesk.com/products/fusion-360/blog/connected-data-pdm-plm-autodesk-fusion/
How to solve the AI paradox in software development with intelligent orchestration
Solve the AI paradox by shifting from fragmented tools to intelligent orchestration for faster, more secure, and unified software delivery
https://thenewstack.io/solve-ai-paradox-orchestration/
ERP is dead, says Rimini Street CTO. Do we believe him?
ERP software is dead. Agentic AI ERP is here and it changes everything.”
How Digital Twins Power AI Cities
While digital twins are widely used across industries, their true value in an AI City lies in their collective impact. Urban systems, from infrastructure and transportation to healthcare, manufacturing, and public safety, are deeply interconnected. By integrating digital twin technologies across these domains, cities can create a unified, data-driven ecosystem that enables holistic planning, predictive governance, and coordinated decision-making.
https://press.asus.com/blog/how-digital-twins-power-ai-cities/
How To Ensure Digital Twins Deliver Real Business Value
Digital twins are changing how organizations model, monitor and optimize real-world systems, from factory floors to supply chains and built environments. But while pilot programs can spark early enthusiasm, turning those efforts into measurable business value takes clear goals, strong data and a practical starting point.
Silo Fire: Why AI-Driven Velocity is a High-Interest Technical Debt
The problem isn’t that AI writes bad code. The problem is that AI writes plausible code.
https://medium.com/@krisguttenbergovitz/silo-fire-why-ai-driven-velocity-is-a-high-interest-technical-debt-c542cc204999
