The advantage isn’t prediction.
It’s how fast your team can notice change and respond. Pick one mindcandy prompt below. Discuss it. Decide your moves.
Today’s prompt: semantics move from abstraction to infrastructure
For years, semantics lived in slide decks, governance documents, and architecture diagrams.
Detached. Optional. That era is ending. Semantics are becoming infrastructure. Data management is no longer “supporting IT.” It is the system that enables intelligence itself.
If your data doesn’t carry meaning — shared definitions, relationships, intent — AI doesn’t make you smarter. It just makes your confusion run faster. This isn’t a tooling problem.
It’s an organisational one.
The CEO question
Where, exactly, does meaning live in your organisation today, and how quickly can your teams act on it without escalation, translation, or manual interpretation?
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.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
7 AI Priorities That Will Define Retail in 2026
Beyond chatbots, data governance, search as intelligent navigation, agent-driven commerce, human authenticity and real-time omni-channel orchestration.
https://www.mytotalretail.com/article/7-ai-priorities-that-will-define-retail-in-2026/
IoT in 2026: the technologies driving the next wave of IoT growth
Edge AI, semiconductor transformation: RISC-V and chiplets, beyond 5G, industrial IoT, predictive maintenance, digital twins, smart cities, compliance, sustainability, security and AIoT.
The AI data fabric: Your blueprint for mission-ready intelligence
A modern data fabric stores and integrates information and serves as the connective tissue between raw enterprise data and AI systems that can reason, recommend and respond in real time.
2026 Predictions: AI Sparks Data Center Power Revolution
In 2026, power becomes the defining intersection of AI growth and data center operations. As AI workloads scale from pilots to production, electricity demand is rising faster than the power grids – much of it built decades ago – was designed to handle. What was once a background infrastructure concern is now a central operational and strategic constraint, shaping where data centers are built, how they are designed, and which workloads they can support. Check out TrimTabs (a client of mine).
The Future of Data Collaboration: Why Sharing Wisely Will Define AI Success
Generative and agentic AI systems thrive on diverse, contextual, high-quality data. Private data exchanges and clean rooms are emerging as the bridge between innovation and regulation—spaces where enterprises collaborate responsibly without exposing sensitive information.
Five ERP Strategic Implications for Operations Leaders in 2026
CIOs, CFOs, and operations leaders enter 2026 at a structural inflection point for ERP: Systems are shifting from passive systems of record to autonomous systems of action.
https://erp.today/five-erp-strategic-implications-for-operations-leaders-in-2026/
The Shift Towards AI Data Quality as a Core Product
AI has to be integrated into data stacks. AI can’t be this bolt-on thing where you take all of your proprietary, highly sensitive customer data, and ship it off to an AI model.
https://aibusiness.com/generative-ai/the-shift-towards-ai-data-quality
2026 will be the year data becomes truly intelligent
Semantics move from abstraction to infrastructure. Data management stops being treated as supporting infrastructure and starts being recognized as the system that enables intelligence itself.
Sony Patent Would Unleash AI ‘Ghosts’ to Beat Games for You When They Get Too Hard
Maybe one day, we’ll get an AI that can watch the movies for us. There is something there that I cannot put my finger on, but I think this is very relevant.
https://gizmodo.com/sony-patent-would-unleash-ai-ghosts-to-beat-games-for-you-when-they-get-too-hard-2000706270?
The Next Two Years of Software Engineering
The software industry sits at a strange inflection point. AI coding has evolved from autocomplete on steroids to agents that can autonomously execute development tasks
https://addyosmani.com/blog/next-two-years/
What’s next for AI in 2025
Generative virtual playgrounds, reasoning LLMs, AI in science, national security, and competition to NVIDIA
https://www.technologyreview.com/2025/01/08/1109188/whats-next-for-ai-in-2025/
