Mark Rielly, ARRCC Principal,

When we speak about architecture after automation, we are not talking about architecture being replaced. We are talking about architecture being repositioned.

Automation and artificial intelligence have already changed the mechanics of how we work. At SAOTA, our journey with AI began pragmatically, using it to assist with rendering, to translate early models into usable imagery, to help communicate ideas more efficiently. What mattered was what that time allowed us to focus on instead. We interrogated the design sooner which ultimately allowed us to push our ideas further. 

Today, AI enables us to rapidly test multiple visualisations of our projects: times of day, weather conditions, atmospheres. Snow, dusk, moving foliage, things that once required enormous effort can now be explored fluidly and early. But these tools do not design for us. They allow us to interrogate our ideas before they are fixed.

That distinction is critical.

Architecture has always balanced science and intuition. AI is exceptionally good at optimisation, spatial efficiency, parking layouts, environmental performance, cost logic. These are essential aspects of building, and automation has accelerated them dramatically. But architecture is not the sum of optimised parts.

Architecture remains one of the few art forms that requires presence and time to fully appreciate. The experience is shaped by weather, time of day, season, whether you encounter a space alone or surrounded by others. It unfolds. It accumulates. It cannot be delivered all at once.

At SAOTA, design is never approached as a single formula or outcome. It is informed by multiple pathways, abstract frameworks through which ideas are generated, tested, and refined. These pathways shape how a project is conceived, how constraints are interpreted, how design intent develops. Experience, atmosphere, and spatial quality emerge as the consequence of this process, not prescribed, but earned through rigorous, idea-driven thinking. The view revealed rather than given. Light that shifts as you move through a sequence of spaces. Atmosphere that builds without announcing itself.

These are not metrics. You cannot assign a percentage to calm or optimise a sense of wonder.

This is precisely where the role of the architect becomes more important after automation, not less.

The architect's value lies in judgment: what to prioritise, what to hold back, and what to amplify. Two solutions may be equally valid from a technical standpoint yet produce profoundly different experiences. Choosing between them is not a data problem, it is a human one. It relies on instinct, cultural awareness, and lived experience and dare we say it, taste.

When we visit a site, we absorb things that are difficult to articulate: the journey there, the quality of the light, the landscape, the peripheral cues that register below conscious thought. These experiences shape design in ways that are unpredictable, and irreplaceable. AI can reference context. It does not experience place.

This is deeply embedded in SAOTA's DNA.

Our architecture is driven by context, not only physical, but cultural. For instance, a gable in the Cape vernacular is not just a form. It carries history, specific proportions, material memory, and collective meaning. An AI can replicate the shape. But reinterpretation, transcending tradition while remaining honest to it, requires authorship. It requires understanding not only what something is, but why it exists, and how it might evolve.

Central to how we work is collaboration. Our RAD sessions (Research, Analyse, Design) are sessions where multiple minds interrogate a project together. Different instincts, different experiences, different priorities in productive collision. That collective intelligence is not incidental to our process; it is fundamental to it. Architecture, for us, is never the output of a single tool or viewpoint. It is a distilled outcome of dialogue, challenge, and refinement.

That process cannot be scripted, and absolutely never automated.

So what does architecture after automation actually look like?

To us, it looks like less friction and more focus. Less time on the mechanical, more time on the meaningful. AI becomes a tool for testing, visualising, refining, and communicating, but not for deciding. In a world where technical competence is increasingly automated, what differentiates architecture is the quality of thought behind it: the clarity of intent, the strength of narrative, the ideas that give a building its purpose and coherence.

The creative act remains human.

And the future belongs not to those who replace design with machines, but to those who use machines to protect what makes design human.