Committee on Design

AI systems are rapidly evolving from passive analysis tools into real-time decision engines for Environmental, Social, and Governance (ESG) performance. In many emerging workflows, design choices are already being influenced-or outright constrained-by algorithmic predictions of carbon impact, energy performance, and social disruption.

This raises an uncomfortable question for design professionals:

Are we still designing, or are we increasingly validating what an AI system has already decided is "optimal"?

Traditionally, architects and designers have balanced competing priorities: spatial experience, cultural intent, structural logic, cost, and sustainability. But AI-driven ESG systems introduce a new layer of authority-continuous, data-driven optimization that does not care about architectural narrative, symbolism, or ambiguity.

The implications are not minor:

• Design options may be filtered out before a human ever evaluates them
• "Sustainable performance thresholds" may quietly override design intent
• Creative exploration may be reduced to what is measurable and optimizable
• Accountability becomes blurred between designer judgment and system recommendation

At what point does "decision support" become invisible decision substitution?

And more critically:

If an AI system consistently optimizes for ESG outcomes better than a designer, what exactly is the designer still responsible for?

Is this the next evolution of design intelligence-or the slow outsourcing of authorship to systems we barely interrogate?

A clear problem statement and goals should guide the design process.  The architect-designer needs to be the arbiter of the ai generated schemes.  Too often generative design creates compelling yet nonsensical solutions.  It is purely up to the prompter and qualify to act as a jury and critique the proposed solutions.  Brilliance may arise but it takes a trained eye and a nimble mind to parce through a myriad of concepts meeting the clients needs and desires.

Much like the academic studio, a clear brief and critique throughout the process can test solutions and lead to new discoveries AI can be useful if held accountable to clearly stated goals and objectives.

So far AI cannot provide this judgment and accountability.

I don't see AI by itself providing anything above an average of what con be scraped up from the web.  It takes the human mind to recognize something brilliant and novel.

Spot on!  To create what one doesn't know what is known is way beyond AI, which follows it, especially in the imagination we architects are gifted. 

Tony,

Thank you for sharing your experience. I particularly like your examples because they demonstrate a practical use of AI rather than treating it as a replacement for architectural thinking.

Your point about using AI to quickly explore renovation concepts and grant proposals really stands out. In situations where the goal is to communicate a vision, gain stakeholder buy-in, or test ideas early, generating a realistic concept in under an hour instead of spending many hours in Revit and Lumion can make a significant difference. It allows more time for discussions with clients and communities before investing in detailed development.

I also smiled at your comment about prompt specificity. I've had similar experiences where AI introduces changes that were never requested. Learning how to clearly define constraints, including instructions like "do not change anything else," is becoming a new kind of design skill. In many ways, prompt writing feels similar to preparing a clear design brief. The better the brief, the better the outcome.

Your perspective is especially valuable given your experience spanning from hand drafting to AI-assisted workflows. It highlights that every major technological shift, from drafting boards to CAD to BIM, has changed how architects work without changing the architect's responsibility for judgment, creativity, and accountability.

I think that's an encouraging message for younger architects: AI doesn't eliminate the need for design thinking. It simply gives us another tool to explore ideas more quickly and spend more time refining the ones worth pursuing.

Thank you again for sharing your experience.