Understand the skills, roles, behaviours, and work models shaping the future of digital work.
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Your competitors are not ahead because they can buy better AI tools. They are ahead when their organisations learn from AI faster than yours does.

Digital Acceleration Tools -- DATs -- are platforms and methods specifically designed to shorten the time between having a digital capability on your roadmap and having it operating in production. They are not a single product category. DATs is the umbrella term for a set of…

Most transformation programmes stall not because leaders lack ambition, but because they activate the wrong things in the wrong order. Five structural levers separate organisations that build lasting digital capability from those that cycle through initiatives without…
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The half-life of a professional skill has fallen from over a decade in the 1980s to four or five years today, and to roughly two to two and a half years for technical and AI skills (industry analyses, 2026). The World Economic Forum estimates that the larger share of AI's…
In mid-2026, AI augmentation of knowledge work has passed the stage of experimentation and entered uneven institutionalisation -- the defining condition for D5 (Digital Workers and Workspace) in this cycle. McKinsey's June 2026 State of AI report estimates that 68% of…
Klarna deployed AI in its customer operations in February 2024 and publicly claimed it was performing the equivalent work of 700 human agents. By May 2025, the company had begun rehiring human agents -- citing customer experience quality as the reason. The deflection trap is…
Most people using AI tools at work are improving their speed. A smaller number are improving the quality of their output. Almost none are deliberately improving how they collaborate with AI over time. The AI-Augmented Work Framework is built for that third group, and it is…
Your employer owns your job. That has always been true. What's changing — fast — is that AI is now doing significant parts of it.