Navigating AI Opportunities, Risks, and Strategies for Interior Design
Key Highlights
- AI tools can help designers save time, improve efficiency, and iterate multiple design concepts.
- Industry associations like AIA and ASID are actively developing policies and training programs to guide responsible AI adoption in design.
- Concerns around privacy, transparency, and intellectual property highlight the need for secure environments and clear guidelines.
Anywhere you turn, artificial intelligence (AI) is nearby. While you can’t escape hearing about the tech that is in the tools you use and products you hold, adoption and education in the interior architecture and design space vary widely.
Associations and organizations are taking note of usage, gaps, and guidance in the industry. For example, in June, the American Institute of Architects (AIA) passed industry policies on AI use at its Annual Business Meeting. (Read more in the sidebar “2025 AIA Artificial Intelligence Policy Resolution.”) In July, Houzz released its inaugural report about AI use in construction and design, which included these industry-revealing findings:
- Nearly one-third of design businesses use AI tools
- That number increases to 1 in 2 for firms with 10 or more employees
- Those who regularly use AI report saving more than 3 hours of time per week
Still, the U.S. State of AI in Construction and Design report noted that 94 percent of designers who participated stated they have no training or guidance in AI tools—which means there are likely gaps in understanding how they work.
2025 AIA Artificial Intelligence Policy Resolution
At the Annual Business Meeting in June, AIA chapter delegates passed with 99 percent of the vote official policies on AI use among the profession. Resolution 1: AIA Artificial Intelligence Policy Resolution, sponsored by the AIA Strategic Council, outlines the following:
Seeks to prepare AIA members for the evolving landscape of artificial intelligence (AI) by establishing clear policies and promoting responsible adoption of AI technologies. The resolution seeks to investigate the profession’s strategic adoption of AI’s potential to foster innovation, enhance design, and increase efficiency—while addressing ethical concerns and safeguarding the profession’s integrity and the public’s welfare.
The resolution calls for a formal establishment of AI Usage Policies, an AI Education & Exchange Platform, an AI Ethical Framework (AI’s Integration into the Code of Ethics) and incorporating AI into the next AIA 5-Year Strategic Plan.
Understand the Risks and Rewards
Maria Martin, founder of design creation application Design Appy, warned that architects and designers may not be aware of the lack of transparency or privacy of some applications or tools. She is concerned that some of her peers using AI don’t realize that the information they feed into or outputs they receive can be used to train models and left for public use.
“How private is what you’re doing and those platforms that you’re using?” she inquired. “It’s the idea of what’s your creative value, and then what’s the privacy policy of the platform. Do those two things align?”
Platforms aimed at interior design will often have a designer upload their own photography and simply turn it into a 3D or CAD-like rendering, Martin said. These platforms incentivize users to promote the use through referral programs, and “non-existent” privacy policies.
While Martin cautioned users to seek out and understand how their information is used or what creative protection they have, she praised how AI can help architects and designers save time and improve their overall business.
“Designers are running a business, and AI is a beautiful thread that they can use [as] an expert persona to help them along the way,” she said. “When we’re looking at AI and how it works for designers, it’s really just a super powerhouse for them for the business side of things.”
Opportunities to Enhance Critical Thinking
In 2024, the AIA looked at how AI can remove inefficiencies and streamline time-consuming tasks, noting in The Architect’s Journey to Specification that opportunities include:
- Updating product libraries
- Cost estimation and project takeoff
- Complex specifications
- Construction administration
It also uncovered that early firmwide AI adoption focuses on more accessible applications—44 percent reported using it for content production—rather than need-based systems and solutions.
American Society of Interior Designers (ASID) Research Fellow Dawn Haynie noted how association member use breaks down along tech adoption lines: “Firm principals tend to use AI for streamlining communications, scheduling, and project management. More tech-savvy designers are more likely to use AI for concept development, renderings, and drafting specifications—tasks where efficiency and speed can significantly enhance output.”
Architecture and design firm Gensler is embracing AI companywide to support its creative and storytelling process, freeing designers to focus on augmenting human skill through critical thinking, intuition, and emotional intelligence in design, explained Rob Bischoff, global digital experience design leader and principal.
AI is not a replacement for creativity but a tool that enhances it, helping Gensler employees assess ideas faster, work more efficiently, and deliver more informed and impactful solutions for clients.
“We’re also exploring how AI can deepen the storytelling behind our designs by bringing them to life quickly, and in more immersive formats that help convey the full design approach and human-centered experiences,” Bischoff said.
Success Stories: How the Community Applies AI
Integrating AI early in the design process, from proposals to initial concepts, is a common use case to save time, create multiple versions, and refine. Here are some ways the A&D community is harnessing the technology.
- Educational assessment: Robin Anderson sees educators using tools like ChatGPT and Claude to develop quizzes, exams, and case studies; and rate student comprehension and performance with greater efficiency.
- Internal expertise: At Gensler, AI tools are being trained with internal project data to surface insights and precedents that a single team might otherwise not recognize, breaking down silos created by team, sector, or geography, explained Rob Bischoff.
- Deeper strategy: Dawn Haynie points to generating early drafts of reports, emails, or client presentations with large language models, freeing them with more time to apply their own insights, personal tone, and vision.
- Proof of concept: Maria Martin uses AI early in the process to support visual examples for concepts or mood boards. The intent is to get client understanding and buy in, while conveying her thoughts.
Strategic Exposure is Essential
While industry groups and professionals are in various stages of AI adoption and education, strategic rollouts are important.
At Gensler, that means having a firmwide training strategy in place. “We’re investing in training, tools, and partnerships that align AI with our core values, particularly around design excellence, innovation, and ethical responsibility,” Bischoff said.
Gensler’s Design Technology group offers a baseline level of training on the organization’s proprietary AI tools and two optional advanced training courses. Because of the rapid pace of technology change, every studio across the firm has a design technology leader to gather and share knowledge.
ASID’s Director of Education Robin Anderson also mentioned the need for thought leadership to help members stay ahead of the curve. And, while ASID has been integrating AI-focused content into professional development offerings since 2023, she noted an expanded presence at this year’s GATHER conference, in the learning management system and with additional programming.
The learning doesn’t stop there. “The profession should proactively learn from other industries that have already navigated AI’s impacts. Often, best practices originate outside the design field,” Anderson encouraged.
One example is restricting access to the intellectual property (IP) that Martin discussed, proprietary information, or client data.
“Something that we can all start looking at as an industry is to pull some information we have provided from these platforms,” Martin said. “Then the quality of the output for other people wouldn't be as high and as easy to get.”
Gensler is developing private AI sandboxes and secure environments that ensure sensitive information is only accessible to individuals within the organization. They are also building internal tools that leverage Gensler’s own data, IP, and experiential logic.
“Ultimately, it’s not about enforcing a single tool, but about creating a trusted framework where employees can innovate safely, and where Gensler’s collective intelligence becomes an always-available resource for every team,” Bischoff said.
About the Author

Valerie Dennis Craven
Content Strategist & Writer
Valerie Dennis Craven is an experienced writer of commercial and residential buildings and interiors, having previously served as Editorial Director for both BUILDINGS and i+s. Valerie enjoys writing about technology and how it impacts users in the built environment.