(Photo courtesy of Quanta Collectiv)
The architecture, engineering, and construction (A/E/C) industry is standing at a crossroads. I’m not going to sugar-coat this: Firms that ignore AI are losing ground.
Artificial intelligence is actively reshaping how projects are won, designed, priced, and built. For builders, architects, and engineers, the question is no longer if AI will change your business. It already has. The only question is whether you’ll adapt before it’s too late.
“The power of AI is astonishing, and the pace at which it’s advancing is remarkable,” said Mike Szabo, SZABO Landscape Architecture. “In landscape architecture, it has the potential to become an invaluable tool if its capabilities are harnessed thoughtfully. Those who choose to ignore it risk falling behind very quickly.”
The Threat Is Real
According to the ASCE Survey (March 2026), only 27% of AEC firms are actively using AI, but 94% of those adopters plan to scale up investment in 2026, creating a widening gap between early movers and the rest of the industry.
The ethical dimension of this shift is one the industry can’t afford to ignore. Firms that quietly eliminate junior roles to cut overhead while adopting AI may win short-term margin gains, but risk hollowing out their own talent pipeline. The more constructive path is intentional redeployment. When AI handles the repetitive layer of production, it frees junior staff to do the work that develops them professionally.
Firms that frame AI as a capacity multiplier can take on more projects with the same team while elevating quality at every touchpoint. Ask your team: What would you do if you had more time in your day? What great ideas have you never been able to execute? The wisdom of tenure is key to a firm’s long-term success, and staff retention has never mattered more. Firms that use AI as an excuse to stop investing in their people will suffer when the novelty wears off.
While tech giants race toward building AI smarter than humans, AI still relies on our intelligence to build its own. It researches what has already been done and is incapable of generating original creative ideas. By refocusing your team on what AI can’t do, you amplify the one thing that sets you apart from every competitor: the real human minds that have written your company’s story. The word that keeps coming to mind is nuance — a uniquely human quality. No matter how smart AI becomes, it will never replace the human soul of our businesses.
The Opportunity Is Enormous
The same forces driving disruption are handing forward-thinking firms an extraordinary competitive advantage.
Proposal Writing
Tools like Shred.ai and Unanet ProposalAI can generate high-quality proposal drafts up to 70% faster than traditional methods. Joist AI builds a contextual knowledge graph from your existing proposals, so your institutional voice automatically informs every new submission. Shred.ai 2.0 (released January 2026) added a Proposal Studio and deeper AI chat integration, nudging it toward more agentic behavior, though it still functions primarily as a smart assistant that augments a human-led process.
For the seasoned proposal writer, this is an opportunity to do the work that actually wins projects such as researching the client, tailoring the approach to the specific selection panel, and crafting the kind of personalized cover letter that makes an evaluator feel seen. AI handles the scaffolding. The proposal writer still builds what goes inside it.
Renderings and Visualization
With 44% of architects now using AI for concept imagery, the technology is going mainstream. Veras by EvolveLab integrates directly with Revit and SketchUp, transforming your live BIM model into photorealistic renderings without breaking your geometry. Midjourney excels at early-stage moodboards, while tools like Rendair AI sit in the middle — ideal for fast client-facing images without the complexity of a full BIM workflow.
Design Optimization
Platforms like ArkDesign.ai generate optimized schematic designs automatically, checking code compliance and exploring multiple layout configurations. Autodesk AI, embedded across the Design and Make Platform, automates repetitive drafting tasks and model coordination.
The CAD technician role is the most vulnerable position in a design firm’s org chart, but that doesn’t mean the person in that role is expendable. It means the role needs to evolve. A technician who deeply understands how buildings go together is exactly the kind of person who should be in the field during design development or sitting across from a contractor in a constructability review. Their technical literacy becomes a quality control superpower when AI is doing the production work. Forward-thinking firms are already retraining CAD technicians as AI workflow coordinators. These are people who can prompt platforms intelligently, review output critically, and catch the things no model has been taught to care about.
What Are AI Agents and Why Should You Care?
Most people use AI for simple requests or image generation. AI agents are something fundamentally different. An agent is an autonomous software system that sets sub-goals, uses external tools, and evaluates its own progress toward completing a complex task. Think of it as the difference between hiring someone to answer your email and hiring someone to manage your entire inbox, draft responses, and schedule follow-ups, all while you’re out in the field.
It sounds like science fiction, but it’s very real. I’m teaching myself Claude Code, which allows me to build agents and assign each a specific set of skills. I can literally sit back and watch as an agent takes over my computer, accesses my files, and completes a complex task list with a single prompt. It’s both exciting and horrifying at the same time.
I’ll confess: I was at the bank recently after hours deep in Claude Code, and I kept interrupting my own meeting about a credit line to talk about AI and why the manager needed to start learning it immediately. I also mentioned the recent developments with Anthropic’s Mythos, and the looming security risks for banking institutions. Mythos is a new “frontier” AI model, similar in class to advanced chatbots/agents but with unusually strong capabilities in finding and exploiting software vulnerabilities. I could tell nothing I said was hitting home, and the bank manager had that look in her eyes like she might even call security. Oh well. You win some, you lose some.
I have worked with Central Oregon’s best architects, landscape architects, builders, and engineers since launching a branding agency in 2009. Today, my business is Quanta Collectiv, where I work as an architectural photographer and A/E/C marketing specialist. I can help you get a handle on this AI thing. We can learn together — because trust me, it’s a moving target.
