AI, Technology and the Architect’s Identity

Architecture has always been shaped by technology. From the first use of geometry in ancient temples to the arrival of CAD and BIM, each generation of architects has faced the same question: what does this new tool mean for my practice and for who I am as a professional?

Today that question is being asked again, this time with artificial intelligence. AI promises speed, precision and the ability to process data at a scale no human ever could. Yet as with every major technological shift, the first response is often a mixture of excitement and fear. What if AI replaces the architect’s creativity? What if technology drives design decisions that once relied on human judgement?

Fear, however, rarely reflects the whole story. Daniel Clark has written an article for Fourth Floor discussing exactly this. As a Chartered Accountant, trainer and speaker focusing on AI, automation and change-ready practices, he has delivered training to a consortium of Finance Directors of architectural practices in 2025. He is also Chair of ICAEW Tech Faculty Board. In his work on digital literacy, Daniel argues that technology does not simply add a new skill; it reshapes identity. Learning to use AI in architectural practice is not just about mastering prompts or analysis tools, it is about how architects come to see themselves. Not as being replaced, but as collaborators with technology.

This idea of identity performance is crucial. The architect who learns to integrate AI into design is not merely more efficient; they begin to embody a new kind of professional identity, one who is comfortable navigating between human creativity and machine capability. The real transformation happens not when AI produces a floor plan, but when an architect reflects, “I am the kind of designer who can work with these tools to make better decisions.”

And that is where architecture finds its future. AI can test hundreds of design permutations against environmental, economic and social data in minutes. But it still requires an architect’s vision to ask the right questions, to balance beauty with sustainability and to interpret outputs in ways that serve human needs. In this sense, AI is not the end of architectural identity but a new stage in its evolution.

The challenge for architects is not to fear the tools, but to practise with them, to fold them into the daily craft of design until they become part of who we are. Just as pen and paper once gave way to CAD and CAD to BIM, AI is another layer in the ongoing story of what it means to be an architect.

The question is not whether technology will change architecture; technology will continue to change all things. The real question is, how will architects change themselves alongside it?

The AI-enabled architect – what new tools mean for professional identity

“AI is starting to get better than humans at almost all intellectual tasks, and we’re going to collectively, as a society, grapple with it.”
Anthropic CEO Dario Amodei, May 2025[1]

You do not have to look very far to see warnings like this, and the natural response is fear. This especially true for professionals, such as architects, who have extensive training and expertise and generally earn a good living applying them. If new technology can do some or even all of what we do, do we have a job? Do we have a professional identity? Who even are we if the profession vanishes?

The claim is dramatic, but when we look at the history of professions we see continual patterns of technological change. The designers of the ancient temples and pyramids would barely recognise the modern architect sitting at a screen using CAD and BIM. However, the goal of the profession – designing buildings – has remained consistent and even though the tools have transformed the process many of the core skills remain the same – spatial thinking, understanding material properties, empathising with clients, problem-solving and aesthetics.

I am a Chartered Accountant and my own profession is also as old as civilisation and has also been transformed many times by technology. By far the biggest transformation to date occurred in 1979 when VisiCalc, the world’s first spreadsheet software package was launched, completing calculations previously carried out painstakingly by hand. There were fears of the accounting profession being decimated as so much work was being eliminated but instead the opposite happened. Accountants were enabled to add more value, carrying out more detailed analysis rather than doing calculations. There are now more accountants around the world than ever.

How have these professions adapted and thrived through these technological changes? Part of it is about shifting skill sets – learning to use software instead of creating drawings by hand. But the change goes deeper than that. As a starting point, I find it helpful to consider the model of digital literacy developed by Helen Beetham and Rhona Sharpe[2]:

Here, the basic level of digital literacy is access and awareness – if you do not have the tools, or do not know that you have the tools, you cannot even get started. The second layer is skills – knowing how to use the tools. The third is practices – integrating the tools into the work you do. The fourth gets particularly interesting, where your practices reshape your idea of what sort of person you are.

For example, let’s say you want to make use of large languages models (LLMs) and get access to one. They are fairly straightforward to use and you spend a bit of time learning what makes a good ‘prompt’ (skills). Then you realise you can use LLMs to summarise and analyse large documents you need to refer to in your work (practices). This changes your identity slightly, towards being someone who ‘can use technology’ or maybe even ‘tecchie’ (a term with lots of associations in our culture). Reflecting on this change may well encourage you to use the tools further and think about other areas where you may be able to use technology tools to support the work you do.

So, navigating changes in technology means not just learning new skills but rethinking what your profession means, both for the profession as a whole and individual professionals. Architects, perhaps, move from being people who create drawings and develop their intuition through repeated drafting, towards people who can manage digital workflows. The computer may generate the options, but the architect provides the critical empathy that chooses the right one. This shifts the professional identity from ‘I draw’ to ‘I discern’. Some may find this threatening, if they feel that spending years learning drafting skills is central to the idea of a professional architect. Others may embrace it, using new tools to be even more creative in their work, whether to speed up compliance checks or explore design alternatives. 

Of course, some skills don’t change much – aesthetic decisions, client relationships and navigating regulations remain central to what the professional architect can offer. The physical nature of architectural work – understanding how people move through space, how light affects mood, how a building responds to its site and climate – requires embodied knowledge that remains distinctly human.

This is important. Even if we accept Amodei’s prediction to some degree, this does not mean that a ‘jobs apocalypse’ is imminent. Jobs which involve producing variations on established patterns may be under threat, but the most valuable professional work involves judgement. In a recent newsletter the fiction writer Naomi Alderman argued that “the skills of discernment” have always had value and always will. [3] Human beings are needed:

“to tell whether something is beautiful or ugly, whether its message is meaningful or just a cliche, whether a building will have the right or the wrong effect on the people inside it”

For architects, this discernment is not just a matter of taste; it is a matter of professional responsibility. An AI model can generate a visually stunning idea, but it cannot take legal liability for the building’s safety. In a world of infinite, cheap digital generation, the architect’s signature, and the assurance of safety and compliance it represents, becomes a premium asset.

Alderman further argues that developing these skills of discernment involves not letting AI do work for you before you have learned how to do it yourself. This touches on the critical debate about how we train future professionals. While we cannot solve that challenge in this article, it is worth noting that the ‘Practice’ level of the pyramid offers a clue.

If the new practice is reviewing AI output rather than drawing from scratch, the junior architect’s apprenticeship shifts from production to critique. They must still learn the first principles, not to draw the detail by hand, but to have the knowledge required to catch the AI’s inevitable mistakes.

To navigate the risks and make the most of the opportunities brought by new technology, it is necessary to rethink one’s identity and become a modern, technology-enabled professional. This is bound up with, and central to, learning new skills and implementing new practices. There is lots of guidance out there on how to make transitions but for me the authority on this topic is Professor Herminia Ibarra of London Business School. Her book Act Like A Leader, Think Like A Leader sums up her thesis in the title.[4] Reflection and learning are important but true change comes from doing things differently. Specifically, she recommends redefining your job, broadening your network and seeking out situations that make you uncomfortable:

“The situations in which we most stand to learn are also those that challenge our sense of self.”

So for people who think they “aren’t good with technology” (I meet many of them), the challenge is to try out some technology tools. Whether it goes well or badly, it will enable you to rethink who you are.

If you are looking for ways to get started, some ideas to consider are:
·       We are going through a major transformation and you will need time to get to grips with it. Ensure your time management practice allows some slack to investigate and experiment.
·       AI technologies are not going away and are having impact everywhere, so you need to understand something about them. Countless books, podcasts, videos and other resources are available. You can always ask an LLM for help with this.
·       AI tools are generally not ‘plug and play’ so you will need to spend some time using them to work out how they can best serve you. Be prepared to do this and develop your own sense of what they can do, as well as when not to use them.
·       Identify a specific “drudge work” bottleneck where AI tools could help. Don’t start with complex design problems. Start with the mundane tasks that take up time: summarising site meeting minutes, cross-checking door schedules against floor plans or drafting the initial scope for a fee proposal.
·       Double down on being human.[5] Over time, work that can be done by machines increasingly will be. So focus on the things that can’t be done by machines – judgement, empathy, relationships, creativity. AI tools can produce a photorealistic rendering in seconds, but they cannot explain why that design solves the client’s specific problem. Focus on the client relationship, the storytelling, and the empathy, the “embodied knowledge” that machines cannot replicate.

AI will undoubtedly transform architectural practice in the coming years. But if history teaches us anything, it’s that professions which ground themselves in human judgment, creativity, and relationships don’t disappear – they evolve and often grow stronger. Your challenge is to shape how it unfolds in your practice and in your profession.

(Full disclosure: I used AI tools to research and critique this article, treating the technology as a ‘critical friend’ to test my arguments. While the writing is mine, this process reflects the collaboration I advocate. AI provides options where requested, but the human professional provides the discernment.)

[1] Interview with CNN, 29 May 2025, https://edition.cnn.com/2025/05/29/tech/ai-anthropic-ceo-dario-amodei-unemployment 
[2] The model was created for JISC, who support higher education in the UK. It was first published in chapter 6 of Rethinking Learning for a Digital Age (2010), edited by Rhona Sharpe, Helen Beetham and Sara de Freitas. It has been reproduced numerous times since. More information about this model and related work is available at 
https://digitalcapability.jisc.ac.uk/what-is-digital-capability/individual-digital-capabilities/our-digital-capabilities-framework/.   
[3] “preparing for the working world in the age of AI”, 3 November 2025,
https://naomialderman.substack.com/p/preparing-for-the-working-world-in. 
[4] 2nd edition published in 2023. For more information about Prof Ibarra’s work and other resources visit 
https://herminiaibarra.com/.  
[5] This is the title of an excellent talk by fiction writer Joanne Penn, available at 
https://www.thecreativepenn.com/2023/10/18/how-to-double-down-on-being-human-5-ways-to-stand-out-in-an-age-of-ai/. I have borrowed the phrase because I love it.

As architects navigate this new era, the real opportunity lies in embracing technology as a partner rather than a threat, allowing it to expand the boundaries of practice while deepening the distinctly human skills that set the profession apart. The journey is ongoing, and so is the conversation. If you’d like to connect with Daniel, discuss these ideas further or explore his training services, you can reach him via LinkedIn at linkedin.com/in/danielclarkfca or by email at daniel@dsfp.ltd.