Michelle Moxley
Michelle Moxley is a career research, development, and innovation expert with a demonstrated history of working in the apparel and fashion industries. She is skilled in screen and special-effects printing, separations, graphics, pre-press, digital printing, and textiles. She has worked as a development artist for Nike and the Jordan brand, was Gildan’s Honduras R&D embellishment manager, worked for Virus Waterbase, and was director of innovation at M&R Co.
She is currently exploring AI and its massive impact on our industry with her vlog Fahrenheit AI on YouTube – find her under @notoriousrandd. *Headshot by Generative AI
Using AI to Build Smarter Graphic Workflows for Screen Print Production
Shops that close the gap with AI pipelines will run leaner, proof faster, and separate cleaner than shops still carrying older rules in their heads.
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Mastering AI Generative Art
Michelle Moxley walks apparel decorators through the process of building a generative art pipeline and how it benefits the design process. She also touches on the ethical issues that AI currently presents.
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Bridging the Next Gap: How to Add AI to Your Art Department
Screen printing is evolving beyond manual production and creative silos. Learn how AI now bridges art and automation — from proofreading graphics to automating proofs, separations, and pricing. Discover practical tools to make your art department more efficient, consistent, and data-driven.
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How to Create Hyper Local Artwork with AI Assistance
Dive into this quick generative art use-case guide for apparel decorators on how to use AI as a complementary tool when creating local designs.
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AI Generative Art in 2025: Integration, Ethics, and Originality
AI generative art has moved beyond novelty. Explore ways to integrate AI tools into workflows and how to navigate ownership and ethics.
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Current State of AI Governance and How It Impacts Apparel Decorators
Like motor vehicle regulations, AI needs a clear set of rules to ensure responsible use. That's where AI governance comes in.
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How Does AI Influence and Aid in the Workflow and Production Space?
Active data collection with real-time feedback and predictive and analytical feedback is the most effective use of data for decorators. Dive into two major ways to do this in your shop.
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AI Print-on-Demand: The Future is Now, But Proceed with Caution
This article takes a deep dive into the pros and cons of AI print-on-demand automation in today’s apparel decorating market.
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