The State of AI Fashion
A study involving 250 fashion professionals from over 90 nations reveals that brands using AI for campaigns still manually create tech packs and samples
Marketing teams mastered AI in eighteen months because the necessary tools became available early and the work was naturally iterative. Production is just now receiving purpose-built tools. ”— Nitin KumarSAN FRANCISCO, CA, UNITED STATES, July 20, 2026 /EINPresswire.com/ — Fashion labels that have revolutionized their marketing efforts with artificial intelligence are experiencing almost none of that revolution in their production departments, according to a fresh survey by The F* Word, a firm developing AI workflow software for the fashion industry.
The study, which polled 250 fashion experts across more than 90 countries and was validated against 400,000 data points from twelve months of platform activity, determined that marketing and content AI achieves a 3.8 out of 5 rating for actual business impact, whereas production and technical AI earns only 2.1 out of 5—within the same companies, on the same teams, during the same workweek. This disparity is statistically significant at p<0.001.
Titled The State of AI Fashion: The Production Gap, the report points to a sequencing issue rather than a reluctance to change. AI tools for campaign creation and photo production reached maturity in 2022 and 2023. AI capable of interpreting a garment sketch and generating a factory-ready technical specification—complete with bill of materials, grading, and construction details—only achieved dependable quality in 2024 and 2025.
Additional survey findings:
Technical designers report spending between 4 and 16 hours manually assembling a single tech pack. When autonomous AI manages the task, a first draft is ready in 8 to 10 minutes, and a fully reviewed, released version is completed in 45 to 90 minutes.
Brands utilizing AI-generated specifications report needing an average of one to two sample rounds per style, compared to three to four rounds for brands still relying on manual methods.
For a mid-size brand running two collections of 30 styles each per year, this reduction translates to an estimated savings of $108,000 to $240,000 annually in sampling costs alone.
60% of physical samples produced each season never make it to production, representing fabric, labor, and shipping that yields no revenue.
30% of fashion professionals who have not adopted production AI say they are unaware of which tools exist. Among those who want to try but have not yet done so, 60% say they do not know where to begin. The survey identifies this as a distribution problem, not a skepticism problem.
Respondents from the Middle East/North Africa and Sub-Saharan Africa together make up 25.5% of the survey sample—a larger share than North America alone, a market the study’s authors say is systematically underrepresented in existing industry research.
Fashion teams use an average of nine separate software tools to manage a single collection from initial brief to factory handoff, with data manually re-entered at nearly every transfer between them.
"Fashion didn’t have a creativity problem entering this AI cycle, but it did have a production execution problem when it came to completing workflows," said Nitin Kumar, CEO of The F* Word. "Marketing folks figured out AI in eighteen months because the tools arrived early and the work was already iterative. Production is only now getting tools built for it. The brands that move while this is still early-adopter technology will set the operating baseline everyone else spends the next several years trying to match."
The survey was conducted between February 15 and April 30, 2026, with a margin of error of plus or minus 6.2% at 95% confidence for top-line findings. The F* Word has published its full methodology, survey instrument, weighting approach, and stated limitations alongside the report, including a direct disclosure that the company builds and sells production AI software and describes a market in which it participates commercially.
The complete report, which includes a page of statistics formatted for direct citation, is available at https://thefword.ai/state-of-ai-fashion.
Nitin Kumar
The F* Word
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