Which working habits will your teams keep, and which will you need to unlearn as language models get more capable? Early LLMs helped developers with trivial autocomplete. Then they began to write …
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The Silicon Workforce: Why 2026 is the Year of Agentic Orchestration, Not Just AI Chat
For decades, we have been conditioned to see software as a set of tools that wait for us. We click a button, the computer responds. We type a prompt, the LLM hallucinates a poem. But a fundamental …
The Acceleration Trap: Why Constant Change Can Silence Real Progress
Change is a strategic weapon — until you use it like a machine gun. The recent piece When Change Outruns Us by Mike Fisher nails an uncomfortable truth many leaders avoid: organisations can die from …
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What Product Leaders Should Steal from Coders: Moving from AI-for-Tasks to AI-as-Workflow
When engineering teams moved from Word processors to plain-text and Git, they didn’t just change file formats — they changed how work happens. Why should product teams be any different? A recent piece …
This Year, I’m Codifying Everything: A Practical Playbook for Product Leaders
When I say I’m codifying everything, I don’t mean filling shared drives with more PDFs. I mean writing things down so precisely they can be executed by people, systems and agents reliably, measured …
2026 is the Year AI Becomes an Operating Model
The honeymoon phase of the AI revolution is officially over. Boards and leadership teams are no longer satisfied with flashy proofs-of-concept or agents that "experiment" in safe, isolated …
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