A Full-Circle Moment
When building my first digital product in 1996, I had no idea distinct professions existed for different parts of the work. I designed, coded, tested, and launched everything myself. It felt natural — much like my earlier career as a ceramic artist, where I dug the clay, shaped the work, fired it, and sold it, handling the entire process from start to finish.
It wasn’t until 2001, while managing a UX team at a large bank, that I discovered how the professional world was divided: strategists decided what to build, and implementers figured out how to build it. That split between “what” and “how” became the standard model for three decades of digital work.
That model has begun to break down as AI tools give individuals the means to own the full process. AI role dissolution is breaking down those boundaries, returning ownership of the full process to individuals. The new roles forming from this shift aren’t just about mixing skill sets — they merge the old separation of ‘what’ and ‘how’ into a single practice.
The Dissolution of Roles
In my forthcoming book, Agile Symbiosis, I describe AI as a solvent for work: it performs a kind of titration of jobs — breaking work down into individual tasks, identifying what machines can handle, and leaving humans to build new roles around what people do best. In this process, the clean handoffs that once defined organizations start to look inefficient and fragile.
A product manager writing a document describing what to build, then passing it to a designer or engineer to figure out how, no longer makes sense when AI gives that same person the tools to guide the entire process themselves.
The professional of tomorrow will be what I call poly-shaped — able to define the what, guide the how, and direct both in partnership with AI. These roles centre on owning the full outcome, supported by tools that remove the need for a long chain of handoffs. They’re about owning the full outcome, supported by tools that remove the need for a long chain of handoffs.
The Poly-Shaped Professional
This shift goes beyond efficiency. Traditional jobs, broken down and rebuilt through AI, will produce professionals who hold both the vision and the execution. Roles like Customer Experience Architect or Talent & Culture Architect point in this direction — mission-oriented positions that blend strategy, empathy, design, and delivery into one.
These orchestrators aren’t generalists in the old sense. They are outcome-owners who apply human strengths — strategic creativity, problem-solving, empathy, ethical judgment — while directing AI to handle execution. The result is an expanded range of work within a single role: moving from “what should we do?” to “how do we do it?” without the delays that come from siloed handoffs.
Why This Matters
This isn’t only my personal story coming full circle. It’s the story of work itself returning to its integrated origins. Before the industrial era, craftspeople owned both the what and the how. The industrial era separated those into assembly-line tasks. The digital era reinforced that divide through specialist roles. Now, in what I call the symbiotic era, those two sides are converging again — this time across disciplines that span strategy, design, and delivery simultaneously., with AI serving as a shared execution layer.
The new professional identity won’t center on a narrow skill. It will center on directing outcomes across disciplines, with strategy and execution meeting in the same role, supported by AI tools built for that partnership.
This article is based on concepts from my forthcoming book, Agile Symbiosis: The Rise of the Poly-Shaped Professional in the Era of AI, which examines how humans and AI can work together to dissolve legacy role boundaries and form poly-shaped roles.
