The future is future fitness. The advantage isn’t prediction. It’s how fast your team can notice and anticipate change and respond.
How generative and agentic AI shift concern from technical debt to cognitive debt
Technical debt conjure up the notion that the accrued debt is a property of the code and effort needs to be spent on removing that debt from code. Cognitive debt instead communicates the notion that the debt compounded from going fast lives in the brains of the developers and affects their lived experiences and abilities to “go fast” or to make changes.
Technical debt was the warm-up. Technical debt lives in the codebase. Cognitive debt lives in people’s heads.
It’s what you accumulate when you move fast and stop updating shared understanding. And generative + agentic AI pours petrol on it. Why AI makes this worse:
When humans write less code, they also absorb less context. So you get:
- More output, less comprehension
- More “working” systems, fewer people who can safely change them
- More automation, more invisible complexity
- Faster shipping, slower recovering
You don’t pay interest in refactoring time. You pay it in hesitation, fear, brittle releases, and key-person risk.
The prompt:
If your two best builders left next month, what % of your AI-enabled systems could you still change confidently within 48 hours? Discuss this with your leadership team, decide your moves. If you need help, DM me.
https://margaretstorey.com/blog/2026/02/09/cognitive-debt/
All the 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.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Industrial AI Platform Combines Virtual Twins, Accelerated Computing
Virtual twins, enhanced with real-time data integration, challenge traditional digital twins by enabling dynamic simulations and optimizations. This advancement necessitates ERP vendors to adapt by supporting data governance frameworks and integrating physics-based models to maintain relevance in evolving manufacturing systems.
https://erp.today/industrial-ai-platform-combines-virtual-twins-accelerated-computing/
Consulting firms have built thousands of AI agents. Now they’re trying to figure out their worth.
McKinsey & Company CEO Bob Sternfels said last month that his firm has launched tens of thousands of internal AI agents in recent years, and eventually plans to have one for all of the company’s 40,000 employees.
Why Your Digital Investments Aren’t Creating Value
Many companies are pouring money into AI, analytics, and CRM platforms, yet struggle to translate those investments into measurable revenue growth. The problem isn’t technology adoption but the failure to redesign how commercial organizations generate insight, make decisions, and coordinate action.
https://hbr.org/2026/02/why-your-digital-investments-arent-creating-value?
Why AI may overcomplicate answers: Humans and LLMs show ‘addition bias,’ often choosing extra steps over subtraction
Generative artificial intelligences, particularly large language models (LLMs), increasingly influence human decision-making, making it essential to understand how cognitive biases are reproduced or amplified in these systems.
https://techxplore.com/news/2026-02-ai-overcomplicate-humans-llms-addition.html
The automation curve in agentic commerce
From programmed convenience, assist, assemble, authorise, autonomise, to networked autonomy.
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-automation-curve-in-agentic-commerce
How AI is Transforming Risk Management
AI is revolutionising supply chain risk management, helping companies predict disruptions faster and protect profits in an era of unprecedented volatility
https://procurementmag.com/news/ai-transforming-risk-management
