The State of AI Fashion
A study involving 250 fashion professionals from over 90 countries indicates that labels utilizing AI for promotional efforts continue to manually create tech packs and samples
Marketing professionals mastered AI in a year and a half because the necessary tools became available early and their work was already repetitive. Production is just now receiving tools designed for it. ”— Nitin KumarSAN FRANCISCO, CA, UNITED STATES, July 20, 2026 /EINPresswire.com/ — Fashion labels that have revolutionized their marketing departments using artificial intelligence are witnessing hardly any of that progress extend to production, as per a fresh study conducted by The F* Word, an organization that develops AI workflow software tailored for the fashion sector.
This research, which polled 250 fashion industry specialists from over 90 countries and was verified against 400,000 data points drawn from twelve months of platform usage, reveals that marketing and content AI achieves a 3.8 out of 5 score for tangible business effect, whereas production and technical AI scores just 2.1 out of 5—within the same companies, on the same teams, during the same workweek. This discrepancy is statistically significant at p<0.001.
Titled “The State of AI Fashion: The Production Gap,” the report points to a timing issue rather than an unwillingness to adapt. AI tools for creating campaigns and photo production became viable in 2022 and 2023. In contrast, AI capable of interpreting a garment sketch and generating a factory-ready technical specification—complete with a bill of materials, grading, and construction details—only reached reliable quality levels in 2024 and 2025.
Extra discoveries from the study:
Technical designers report investing 4 to 16 hours in manually constructing a single tech pack. When autonomous AI manages this procedure, a preliminary draft is prepared in 8 to 10 minutes, and a fully reviewed and finalized version is completed within 45 to 90 minutes.
Brands employing AI-generated specifications report requiring an average of one to two sample rounds per style, a decrease from three to four rounds for brands still performing the work manually.
For a mid-sized label running two collections of 30 styles annually, this reduction translates to an estimated savings of $108,000 to $240,000 per year in sampling expenses alone.
60% of physical samples produced each season never make it into production, representing fabric, labor, and shipping costs that yield zero revenue.
30% of fashion professionals who have not yet adopted production AI state they are unaware of which tools exist. Among those who wish to experiment but have not, 60% say they do not know where to begin. The study identifies this as a distribution issue rather than a problem of doubt.
Respondents from the Middle East/North Africa and Sub-Saharan Africa together make up 25.5% of the survey sample—a larger portion than North America alone—a market the study’s authors claim is consistently overlooked in existing industry research.
Fashion teams utilize an average of nine separate software tools to manage a single collection from first brief to factory handoff, with data being manually re-entered at nearly every transfer between them.
“Fashion did not enter this AI era with a creativity issue, but it did have a production execution problem in completing workflows,” stated Nitin Kumar, CEO of The F* Word. “Marketing professionals 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 a 95% confidence level for top-line findings. The F* Word has released its full methodology, survey instrument, weighting approach, and stated limitations alongside the report, including a direct disclosure that the company develops and sells production AI software and describes a market in which it commercially participates.
The complete report, featuring a page of statistics formatted for direct citation, is accessible at https://thefword.ai/state-of-ai-fashion.
Nitin Kumar
The F* Word
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