"The answer lies not in what AI can produce, but in what humans can decide. The real transformation is not about replacing expertise, but about separating the visible outputs of design and strategy from the judgement that gives those outputs meaning. The part of professional work being automated is not the expertise itself. It is the formatting. The model doesn't replace human judgement; it replicates its surface patterns."
"A canvas, a storyboard, a strategic quadrant or a journey map is a visible output of reasoning. It is not the reasoning itself. Designers and professionals are trusted not because they can draw boxes in the correct configuration, but because they can decide what those boxes should mean in this particular context, and why certain trade-offs deserve priority. This becomes especially clear in a phrase that appears frequently in AI technical discussions: "once you have a knowledge graph.""
AI can generate design artefacts rapidly, filling canvases, journey maps, and jobs-to-be-done structures with coherent outputs. The change automates the visible formatting of professional work rather than replacing interpretive expertise. Frameworks and design outputs are representations of decisions, not the underlying reasoning. Professionals are relied on to assign meaning to framework elements, judge relevance, and prioritise trade-offs within specific contexts. Knowledge-graph structures presuppose chosen concepts and defined relationships, reflecting interpretive decisions instead of emerging automatically from data. Human decision-making about what matters and why remains the central value in design and strategy work.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]