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What happens when the board is not AI-literate?
It governs through second-hand understanding. It cannot challenge inflated claims, detect hidden dependencies, question algorithmic decisions or recognise when the business model itself is becoming obsolete.
Management controls the narrative. Vendors control the language. Consultants control the agenda. The board is left approving investments it does not understand, risks it cannot see and strategies built on assumptions it is unable to test.
The same applies to technology, regulation and emerging trends. A board that cannot understand the future cannot govern it.
https://www.imd.org/ibyimd/brain-circuits/is-your-c-suite-ai-literate/
The leadership question
Is your board capable of challenging your AI strategy, or is it merely being briefed on it?
The future fitness move
Make AI, technology and trend literacy part of board competence, not occasional education.
The other prompts:
Free downloads
12 free books on strategy, innovation, intrapreneurship, AI, future trends and leadership. Each one distils the best thinking from dozens of business books into a single, actionable read. Every book is also available as a BookBuzz session, board briefing or keynote.
A Strategic Guide to Semantic Layers in the Age of AI
A true semantic foundation establishes a single, consistent business language across the enterprise, grounds AI in a single truth, and accelerates BI, while also supporting scalability and performance demands.
https://www.rtinsights.com/a-strategic-guide-to-semantic-layers-in-the-age-of-ai/
The operating model advantage: Why AI winners are rewiring their organizations
The real AI advantage comes from redesigning how work is done and how decisions are made. Ultimately, success will depend on people and operating models supported by technology.
4 numbers that show data infrastructure falling behind
55% of technology leaders say their legacy systems are incompatible with modern AI architecture.
https://www.nojitter.com/data-management/4-numbers-that-show-data-infrastructure-falling-behind
Once again we are told AI may be conscious – I study consciousness, and I have my doubts
Despite Anthropic’s claims, Claude is no more likely to achieve sentience than a simulation of a weather system is likely to generate a real hurricane
https://www.theguardian.com/commentisfree/2026/jul/15/ai-consciousness-anthropic-claude-dawkins
Data catalogs & ai data architecture
Data catalogs are a centralized system that enables organizations to discover, organize, and understand their data assets across increasingly complex enterprise environments.
IoT connectivity for AI: The nine key characteristics of the ‘Intelligent Last Mile’
IoT connectivity needs to adapt to the demands of AI, to be ultra-efficient, compliant, secure, and flexible.
Managing Shadow IT in 2026: IT Leader’s Guide
Shadow IT now extends beyond unauthorized SaaS subscriptions. It now includes AI applications, low-code platforms, unmanaged cloud resources, personal devices connected to corporate systems, and department-led technology purchases made without IT oversight. Remote and hybrid work environments have further expanded the number of technologies used across organizations.
https://www.techfunnel.com/information-technology/shadow-it-management-guide/
Artificial Intelligence and Infrastructure: From Automation to Intelligent Infrastructure
Artificial intelligence has evolved from an experimental technology into a transformative force across every industry. What began as a set of tools for automating administrative tasks now supports virtually every aspect of infrastructure.
Is your C-suite AI-literate?
If your use of AI is largely confined to junior staff, you’re missing a trick. The greatest gains may be seen in the C-suite.
https://www.imd.org/ibyimd/brain-circuits/is-your-c-suite-ai-literate/
Sovereign AI: Building AI Where Data, Infrastructure, and Control Stay Aligned
Sovereign customers are growing as regulatory expectations expand beyond basic data residency into operational control, jurisdictional oversight, auditability, and resilience. At the same time, customers are demanding greater control over where data is processed, who can access it, how AI systems are governed, and what evidence proves those controls are working.
https://blogs.oracle.com/cloud-infrastructure/sovereign-ai-building-ai-where-data-infrastructure-and-control-stay-aligned
