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AI at High Point Market — Fall 2024 Recap | AI for Interior Designers™

AI for Interior Designers™ Podcast

AI at High Point Market — Fall 2024 Recap

Two AI panels, industry connections, a new IDS chapter, and a firsthand read on where the design profession actually stands with artificial intelligence — Jenna's full recap from Fall High Point Market.

Ep. 31 Solo Episode HPMKT Fall 2024 ✦ Jenna Gaidusek October 2024

This blog was written using AI as a recap from the recording, then edited by the author for accuracy and details.

Key Takeaways

Two separate AI panels at High Point produced consistent findings: designers across every specialty are actively integrating AI, and the conversation has fully shifted from "should we?" to "how do we do this well?"
Generative AI for concept visualization is the most widely adopted application — designers including Antonio DeLoatch are using it to generate concept images in client meetings to accelerate decision-making and reduce early-stage back-and-forth.
Client meeting transcription and AI-generated notes (via tools like Plaud) represent one of the highest-ROI applications for designers — giving them searchable, organized records of every client conversation without note-taking during the meeting.
Ethical AI use in product design was a recurring theme: Stacy Garcia's emphasis on using Adobe's proprietary training data rather than scrapers reflects a growing industry consensus around intellectual property respect in generative workflows.
The DAIly program was formally introduced — a structured daily AI training for interior designers offering 30-minute morning video lessons with monthly community discussions, available at AI for Interior Designers.

Panel 1 — Fairfield Chair Event: AI for Concept and Client Engagement

The first panel was hosted at the Fairfield Chair event and brought together designers with different specialties and AI practices. The common thread: AI is most useful in the early stages of a project, where the gap between a designer's vision and a client's ability to picture it is widest.

Fairfield Chair Event — AI in Design Practice

Antonio DeLoatch ↗

Uses generative AI to visualize design concepts during client meetings in real time — generating concept images on the spot to facilitate quicker decision-making. The ability to show rather than describe at the ideation stage dramatically reduces early-project back-and-forth.

Denise Wenacur

Uses AI to create seasonal newsletter images and leverages ChatGPT for content generation — a practical, low-overhead approach to maintaining marketing consistency without dedicating significant time to content production.

Breegan Jane ↗

Highlighted AI applications in philanthropy, project planning, and research — demonstrating that AI's utility extends well beyond the traditional design workflow. Her use of AI in philanthropic projects was cited as a particularly unexpected and inspiring application.

"Designers are using AI for concept visuals — breezing through ideation without getting bogged down in endless Pinterest searches."

— Jenna Gaidusek

Panel 2 — The Point, Moderated by David Cohen: Operations, Forecasting, and Ethics

The second panel, held at The Point and moderated by David Cohen, was sponsored by Meti and went deeper into the operational and ethical dimensions of AI in design practice. The panelists addressed how AI is being used beyond the creative layer — in backend processes, client communication, trend analysis, and product development.

The Point — Moderated by David Cohen

Mariah / Meti ↗

Introduced Meti's AI platform for streamlining backend design operations — order tracking, email automation, procurement follow-up. The tool that automates the administrative layer so designers can focus on design work. (See Ep. 35 for Mariah's full conversation with Jenna.)

Ginger Curtis ↗

Urbanology Designs. Discussed recording client interactions to generate detailed, searchable AI notes using tools like Plaud — giving her organized, retrievable records of every client conversation without manual note-taking during the meeting itself.

Stacy Garcia ↗

Stacy Garcia Inc. Spoke about AI for trend forecasting, vacation rental design, and product development. Emphasized ethical AI practices — specifically using Adobe's proprietary training data to generate product designs, rather than tools trained on scraped content that may include others' IP.

What Both Panels Agreed On — The Cross-Panel Insights

Two panels, different moderators, different venues, different panelists — and the same conclusions. The consistency across both sessions is the most telling signal of where the design industry actually stands with AI in Fall 2024.

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AI is a creative partner, not a creative replacement. Every panelist framed their AI use as amplifying their existing creative process — generating faster concept options, not generating designs without human direction. The designer's judgment remains the essential ingredient.

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The biggest wins are in the non-design layer. Concept visualization gets the attention, but the highest-ROI applications described by panelists were operational: procurement automation (Meti), client meeting transcription (Plaud/Ginger Curtis), and content production (Denise Wenacur's newsletters). These are the hours that do not need to be designer hours.

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Ethics in product design requires deliberate tool selection. Stacy Garcia's point about Adobe's proprietary training data versus scraper-based tools reflects a growing awareness that responsible AI use means knowing what data trained the model generating your work — and whether that data was ethically sourced.

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AI in philanthropy was the unexpected highlight. Breegan Jane's use of AI in her philanthropic projects expanded the room's conception of what these tools are for — and was cited as one of the most memorable moments of the market panels.

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Community accelerates adoption. The IDS network, the Interior Design Community (led by Laurie Laizure), and the community at High Point generally are serving as the learning infrastructure for AI adoption in the profession — designers learning from designers, in context.

Networking, Community, and the IDS Charleston Chapter

Beyond the panels, High Point Market is the industry's most concentrated networking event — and the connections made there consistently produce collaborations and conversations that extend well past the market week itself. Jenna's market experience included a meetup at the Phillips Collection, organized through the Interior Design Community led by Laurie Laizure, where AI in product design and marketing was a central topic.

Notable connections included LuAnn Nigara and Rick Campos, among others, reinforcing Jenna's consistent message: the designers who are thriving with AI are the ones who are talking to each other about it — sharing what works, what does not, and what they are experimenting with next.

A specific announcement from this market: Jenna is joining the new Charleston chapter of the Interior Design Society (IDS) as it launches. For local designers in the Charleston area, this is the relevant community to connect with.

Breegan Jane Antonio DeLoatch Ginger Curtis Stacy Garcia Meti (Mariah) Fairfield Chair IDS

Jenna is planning ahead to KBIS 2025 in Las Vegas in February — the kitchen and bath industry's major annual trade show where AI in product design is expected to be a dominant topic. Connect on Instagram @jenna.gaidusek if you will be attending.

Frequently Asked Questions

The DAIly is Jenna's structured daily AI training program specifically for interior designers. Subscribers receive concise 30-minute video lessons each morning covering AI tools and applications relevant to design practice — practical, immediately usable guidance rather than theoretical overviews. The program includes monthly community discussions where subscribers can ask questions and share experiences. It is designed for busy designers who want ongoing education that fits around a client workload rather than requiring dedicated learning time. Details and enrollment are available at the AI for Interior Designers website.

Breegan Jane described using AI for planning, research, and generative design within her philanthropic projects — applying the same workflow tools she uses professionally to mission-driven work where design expertise is being offered pro bono or at reduced cost. The specific details were discussed at the panel; the broader point Jenna highlighted was that AI's utility in philanthropy demonstrates how these tools extend well beyond commercial design applications. When AI can accelerate the research, planning, and visual communication work, it multiplies the impact a designer can have in community and charitable contexts that might otherwise not have access to the same level of professional design support.

Plaud is a physical recording device (it attaches to a phone or sits on a table) that records in-person conversations and generates AI-powered transcripts via its companion app. Ginger Curtis described using it to record client meetings and site walkthroughs, then using the AI-generated transcript to create detailed, searchable notes — rather than trying to take notes manually during the meeting or relying on memory afterward. The result is a complete, organized record of every client conversation that can be searched by keyword, referenced during later project phases, and used to populate project management templates. This is one of the highest-ROI AI applications described at either panel: the tool changes the meeting experience (fully present rather than divided between listening and note-taking) and dramatically improves the quality and completeness of the post-meeting documentation.

Adobe's generative AI tools (Firefly) are trained on Adobe's proprietary stock image library and licensed content — not on scraped web content that may include other artists' and designers' work without permission. For designers creating original product designs using generative AI, this distinction matters both ethically and legally. Using a tool trained on properly licensed data means the outputs are less likely to be flagged as derivative of specific copyrighted works, and it reflects a professional commitment to respecting intellectual property in AI workflows. Stacy Garcia's point was specifically about this distinction in the context of product development where original design is the output — not just a concept visualization, but a design that will be manufactured and sold. In that context, the training data of the AI tool is a material ethical consideration.

The Phillips Collection is a furniture and design brand known for sculptural, art-forward pieces — their High Point Market showroom is a destination for designers interested in distinctive, design-forward furniture. The meetup at Phillips Collection brought together members of the Interior Design Community (led by Laurie Laizure), IDS members, and other industry professionals for a networking event during market week. The conversation naturally centered on AI in product design and marketing, consistent with the broader market energy around AI. Jenna connected with LuAnn Nigara and Rick Campos there, among others — the kind of cross-community gathering that is increasingly characteristic of how AI knowledge is spreading through the design profession organically.

Daily AI Training for Designers

The DAIly — 30 Minutes Every Morning, Built Around Design Practice

The program Jenna introduced at High Point — concise, practical AI lessons designed for interior designers, with monthly community discussions to keep the learning social and context-specific.

Join The DAIly Interior Design Society ↗