Start Smart: AI in the Early Years of Practice

Graduation for architecture students is almost here, which means a new wave of emerging professionals will soon enter architecture firms across New Orleans. They will bring energy, curiosity, and design ability, but they will also encounter parts of professional practice that are harder to see from school alone. In their early years of practice, one of the biggest challenges is navigating the layers of technical and regulatory information that shape design decisions.

That is part of why AI may be worth discussing within the context of AIA’s Emerging Professionals.

There is already plenty of conversation about AI in architecture (the AIANO Small Firm Exchange has had multiple meetings about the most recent AI apps supporting architecture work), much of it focused on design generation and larger questions about creativity, authorship, and the future of the profession. Those questions matter, but for those entering practice, a more immediate question may be this: where, if anywhere, might AI be useful in the day to day work of an office?

The least productive place to begin is asking AI to design for us. A better place to begin may be the background work that surrounds design.

Architects spend a significant amount of time gathering and organizing information before a project can move forward with confidence. This includes zoning references, code provisions, agency requirements, site constraints, and product information. This work is essential, but also time-intensive and repetitive. For Emerging Professionals it can be difficult to know where to begin, what to prioritize, and how to distinguish between information that is merely available and information that is actually relevant.

This arena is where we should couch AI. Not as a replacement for judgment or professional knowledge, but as a possible aid in handling some of the repetitive informational tasks that support design work. Could it help younger professionals surface relevant references more quickly? Could it help them organize technical material more clearly? Could it help them spend less time searching aimlessly and more time understanding what they are looking at?

Those seem like worthwhile questions for the profession, especially at a moment when new graduates are about to enter firms and many offices are thinking about how best to support them.

Architecture depends on interpretation, synthesis, and responsibility. Any use of AI would still require verification, care, and clear professional boundaries. But if these tools can responsibly assist with some of the less visible work of practice, they may help Emerging Professionals build confidence, contribute more effectively, and focus their energy where human judgment matters most.

The more useful conversation for us to engage in is not whether AI can replace architects, but whether it can support the background work of practice in limited and responsible ways.

Ira Concepcion, Young Architects Forum Director, AIA New Orleans

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