The Great Remaking

The previous five waves changed how organisations accessed, connected, distributed, and scaled, and each rewarded a measured, follow-the-leader response. None of them restructured how organisations think, decide, create, and deliver, which is precisely what AI is doing across both the cognitive and the physical domains. The Great Remaking sets out the evidence for why this is a difference in kind, not just scale, and why that changes the strategic response it demands.

Because the source of advantage this time is not a product that can be studied and replicated. It is operational accumulation: proprietary data shaped by AI-integrated workflows, capability developed through sustained practice, and institutional knowledge of redesign itself. BCG’s 2026 research attributes roughly 70% of AI value to redesigning the people component, which is the part no procurement decision can buy. Fast Following works through the three loops that make the gap compound rather than close.

Pilot counts, budget lines, and strategy documents measure activity, not compounding advantage, and self-assessments of AI maturity are systematically inflated. Ask instead whether a specific workflow has been redesigned rather than augmented in the past 18 months, what data it now generates that it did not before, and what the organisation has learned about redesign itself. The Diagnostic gives the full set of probing questions, with a guide to what credible answers look like.

Not if the Board chooses otherwise. Headcount reduction is the default success metric for AI initiatives in many boardrooms, and I think it is the wrong one: the larger value lies in releasing the intellectual capital trapped in undifferentiated work and redirecting it towards work AI cannot do. The Redeployment Dividend makes that case, and Dawn of the three-hour work week asks what an equitable settlement with the workforce might look like.

Yes, and in two states at once: AI in the preparation of board materials invites the quiet substitution of director judgement, while AI in the operations of the business produces decisions most directors cannot yet interrogate. Agency can be transferred to machines; accountability cannot, and the chair polices that boundary. AI and the Chair works through what existing chair responsibilities now require, and The Personal Agent Economy previews the ownership questions coming behind them.

One piece of work, not a programme. The three loops that make the gap compound start from a single decision: restructure one workflow around what AI can do rather than bolting AI onto it. Name the work precisely (a redesigned credit decision is a piece of work, an AI programme is not), with someone able to restructure it and someone answerable for it all the way up to the Board. The value compounds from the moment the decision is made and depreciates with every month it is deferred. Fast Following explains why, and the Process Audit diagnostic takes one process at a time from evidence to verdict.

That varies by sector, which is why the question matters: the four are not moving at the same speed. In most organisations I see, thinking and creating are furthest along. AI as a faster research assistant is already commoditised, and a restructured creative function runs a different ratio of human direction to machine execution. Deciding moves more carefully, because AI can take the agency in a decision but not the accountability. Delivering is furthest from substitution but accelerating as the cost of embodied AI falls, and its pace differs most by sector. Four Dimensions works through each in turn, with the human residual that survives in every case.

No. The remaking is the mandate; putting a model into everything is fashion with a budget. Examine any single piece of work honestly and there are only three verdicts: stop it, keep it, or change it. Only the last reaches a tool decision, and a model suits judgement; it is the wrong instrument for a question with one right answer. The most valuable answer is often that the work should stop, and nobody below the Board has the standing to say so. Not Everything Needs AI sets out the three questions that come first, and the Stop Keep Change model is how the verdicts are governed.