Perspectives

AI Won’t Replace Architects. But the Firm Down The Street Might.

How artificial intelligence is reshaping the competitive landscape for architecture and engineering firms, and what firm leaders should be doing about it now.

Reid McConkey | Founder & CEO, Resolved

The Current State: Useful, Not Transformative

I’ve spent the better part of fifteen years working alongside architecture and engineering firms on their technology. The current wave of AI adoption in the industry is real, but it’s important to be precise about what it is and what it isn’t.

Most firms today are using AI at the margins. Copilot handles email drafts and meeting summaries. Generative tools assist with early-stage massing studies. AI-powered clash detection runs faster than manual review. Quantity takeoffs that used to take a junior staff member two days now take an afternoon. These are genuine efficiency gains, and they matter.

But they don’t change the fundamental structure of how a project gets delivered. The workflows are the same. The roles are the same. The bottlenecks are the same. You’re doing the same work, slightly faster.

That’s the current state. It won’t be the future state.

The Shift: From AI-Assisted to AI-Native Design

The transition that’s coming over the next five to ten years is not about better plugins or smarter assistants. It’s a structural change in how design and engineering work gets produced.

Consider what this looks like in practice. A principal architect defines project intent: program requirements, site constraints, budget parameters, code compliance targets, sustainability goals. AI generates dozens of viable design options, each already validated against structural, energy, and zoning criteria. The architect evaluates, selects, and refines. The structural engineer validates with AI assistance rather than building an analytical model from a blank screen. The mechanical engineer runs performance simulations that used to take weeks in a matter of hours.

The human role shifts from producing deliverables to making decisions about deliverables. That distinction matters enormously.

This isn’t speculative. The foundational technologies already exist. Autodesk’s generative design capabilities, AI-driven structural analysis tools, and natural language interfaces for BIM platforms are all in market today in some form. What’s changing is the integration, the maturity, and the speed at which these tools are converging into coherent workflows.

For firm owners, the critical insight is this: the professionals in your firm become more valuable in this model, not less. Design judgment, client relationships, regulatory knowledge, accountability for the built outcome – these are the things AI can’t replicate. What it can replicate is the repetitive production work that currently consumes the majority of your team’s billable hours.

The Competitive Implications

This is where the conversation shifts from interesting to urgent.

Firms that adopt AI-native workflows will deliver projects dramatically faster. Not marginally. When a competing firm can generate and evaluate twenty design options in the time it takes yours to develop one, you’re not facing a productivity gap. You’re facing a categorically different type of competitor.

We’ve seen this pattern before. The transition to BIM created a clear dividing line in the industry. Firms that adopted early didn’t just gain efficiency. They won work that firms still producing 2D deliverables couldn’t compete for. The AI transition will follow the same trajectory, but compress the timeline significantly.

I’m not suggesting that every firm needs to go all-in on AI tomorrow. That would be irresponsible. But firm owners who are still treating this as a future problem in 2028 will find themselves competing for the work that AI-forward firms don’t want. That’s not a position any principal wants to be in.

The construction side of AEC will feel this too, particularly in preconstruction, estimating, and project controls, but the impact on design-driven firms will be earlier and more pronounced. Architecture and engineering practices are where the production-to-judgment ratio is highest, which means the AI leverage is greatest.

What Firm Leaders Should Be Doing Now

The full AI transformation is years away. But the decisions that determine whether your firm is positioned to lead or scramble are being made right now. There are three areas that deserve immediate attention.

1. Data Readiness

Every AI capability your firm will adopt in the next decade depends on the quality and accessibility of your project data. This is the least exciting recommendation on this list, and it’s the most important.

If your project files, Revit models, specifications, and historical records are scattered across personal drives, disconnected SharePoint libraries, and email inboxes, no AI tool will deliver meaningful results. Firms with clean, well-structured, centrally accessible data will be able to adopt AI tools at a pace that disorganized firms simply can’t match.

Start here. Audit how your project data is stored, organized, and accessed. Establish standards. Migrate legacy data. This is foundational work that pays dividends regardless of which specific AI tools you ultimately adopt.

2. Infrastructure Capacity

AI workloads are compute-intensive. Generative design, real-time simulation, large language model integration – all of these demand substantially more from your network, storage, and endpoint environment than traditional BIM workflows.

Most architecture and engineering firms we work with are not infrastructure-ready for what’s coming, and that’s perfectly normal at this stage. But it needs to be on the strategic roadmap. Whether your firm runs workloads locally, in the cloud, or in a hybrid configuration, your technology stack has to scale alongside your AI ambitions. Firms that wait until they’ve already adopted AI tools to think about infrastructure will face costly, disruptive upgrades at the worst possible time.

3. People and Culture

This is the area that gets the least attention and matters the most.

The firms that navigate this transition successfully won’t be the ones with the largest software budgets. They’ll be the ones that brought their people along. That means investing in training, redefining roles to emphasize higher-value work, and building a culture where your team sees AI as something that makes their expertise more impactful rather than something that threatens their relevance.

For firm principals, this also means having honest conversations about how project delivery will change, what new skills the firm needs to develop, and how compensation and advancement structures may need to evolve. The firms that treat this as a purely technological challenge and ignore the human side will struggle, regardless of how much they spend on tools.

Looking Ahead

The architecture and engineering industry is heading toward a future where AI isn’t a feature in your software. It’s the foundation of how your firm operates. The transition won’t happen overnight, and there will be false starts and overpromises along the way. But the direction is clear, and the firms that begin preparing now will hold a decisive advantage over those that wait.

At Resolved, we work exclusively with architecture, engineering, and construction firms. It’s our entire focus. We understand the tools you use, the compliance requirements you navigate, and the project delivery workflows that drive your business. If you’re starting to think about what AI means for your firm’s future and where to begin, we’d welcome that conversation.