Ross Dawson

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The shift from AI as a tool to AI as an organizational participant is the most significant change in management theory in a generation. We are moving past the era of simple automation into the era of agentic workflows.

This perspective is reinforced by a new McKinsey Global Institute analysis on the evolution of corporate structures in the age of generative AI.

🔵 Value shifts from execution to orchestration

As AI handles the 'doing,' the human role shifts to designing the sequences and judging the quality of the outputs. 72% of high-performing firms are already redesigning roles around this shift.

🔵 Governance is the new infrastructure

Trust in AI cannot be a manual process. It must be embedded in the technical architecture through auditable controls and clear boundaries. Without this, scaling becomes a liability rather than an asset.

🔵 Data proprietaryness is the only moat

As models become commoditized, the unique context of your organization—your data, your history, your specific workflows—becomes the only source of sustainable competitive advantage.

I have been arguing for some time that we must focus on 'Humans + AI' systems rather than just AI implementation. The data now shows that those who treat AI as a plug-in rather than a structural change are seeing diminishing returns.

We are currently at a crossroads where the design of work will dictate the economic winners of the next decade.

What are you seeing in your own organizations? Are you redesigning the work, or just adding the tools?

FYI Jeremy Millar Martin Stewart-Weeks Sandra Davey John Haining Paul Ruiz

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