AI Won’t Gut Fashion’s Workforce — It’s Rewriting Who Gets Hired, New Report Argues

A new industry analysis is complicating the usual “AI is coming for fashion jobs” narrative: by 2030, up to 40% of workers in developed economies may need to reskill or shift into new roles as fashion companies adopt AI — but the argument from inside the industry is that the technology is meant to amplify scarce expertise, not simply eliminate headcount. The figure comes from the McKinsey & Company and Business of Fashion State of Fashion 2026 report, and it’s the anchor for a September 3, 2026 industry analysis from Lectra — a major fashion design and production software company — that’s worth unpacking for anyone trying to separate real workforce change from AI hype.

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What the Reskilling Number Actually Means

The 40%-by-2030 figure isn’t a layoff forecast. It describes the share of the fashion workforce in developed economies whose day-to-day role is expected to look meaningfully different because of AI and automation — new tools to run, new decisions to make with AI-generated input, new skills to learn on top of what the job already required. That’s a distinction that gets lost in a lot of AI-and-jobs coverage, which tends to collapse “role changes” and “role disappears” into the same story.

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Writing in Textile World, John Brearley, President of Americas at Lectra, frames the shift this way: “Technology alone will not solve the talent gap, but when applied intentionally, it can significantly amplify scarce expertise.” His argument is that fashion has a structural talent problem already — specialized pattern-making, fit, and production-planning skills that take years to build and aren’t being replaced fast enough as experienced staff retire — and that AI’s more realistic job in the near term is closing that gap rather than shrinking the workforce that’s left.

Where AI Is Actually Slotting In

The specific mechanism Brearley points to is knowledge capture: “AI-driven solutions can capture institutional knowledge, standardize best practices and provide real-time insights that support better decisions.” In practice, that’s less about a chatbot replacing a designer and more about software that watches how a company’s most experienced pattern-makers or planners actually solve problems, then makes that judgment available to someone five years into their career instead of twenty.

That framing matters for how brands should be evaluating the current wave of AI fashion tools. A lot of what gets marketed as “AI for fashion” is aimed at shoppers — virtual try-on, style recommendations, AI-generated campaign imagery. The reskilling argument points at a quieter, less visible category: tools built for the people inside a fashion company, doing production planning, quality control, and design iteration, where the payoff isn’t a flashier storefront but fewer bottlenecks caused by knowledge that used to live in one person’s head.

Why This Is Worth Watching, Not Just Reading

Reports like State of Fashion get produced every year, and it’s easy to treat the reskilling stat as one more abstract projection. What makes this one worth tracking is that it’s already shaping how a company that actually sells software into fashion production — not a consultancy with no skin in the outcome — is pitching its own tools to the industry. When the vendor’s public argument shifts from “automate this task” to “capture this person’s expertise before it walks out the door,” that’s a signal about where fashion companies are actually spending budget, not just where the marketing copy points.

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The open question is whether “amplify scarce expertise” holds up as adoption scales, or whether it turns out to be the more palatable way of describing the same headcount pressure other industries have seen from AI. Worth watching over the next year: whether fashion companies talk publicly about reskilling programs tied to specific AI tools, or whether the tools simply get adopted and the roles they were meant to “amplify” quietly shrink anyway.

FAQ

Does the 40% reskilling figure mean 40% of fashion jobs will be cut by 2030?

No. The McKinsey/Business of Fashion State of Fashion 2026 report projects that up to 40% of workers in developed economies may need to reskill or transition to new roles as AI and automation change how fashion companies operate — that’s a description of role change, not a job-loss forecast.

What kind of AI tools is this actually about?

The analysis focuses on AI used inside fashion companies for things like production planning, pattern-making support, and capturing institutional knowledge from experienced staff — a different category from the shopper-facing AI tools (virtual try-on, style recommendations) that get more headlines.

Who is making this argument?

John Brearley, President of Americas at Lectra, a fashion design and production software company, writing in Textile World and citing the McKinsey & Company / Business of Fashion State of Fashion 2026 report.

Source: Textile World — John Brearley (Lectra), “AI Can Strengthen Fashion’s Skilled Workforce,” published September 3, 2026, https://www.textileworld.com/textile-world/knitting-apparel/2026/09/ai-can-strengthen-fashions-skilled-workforce/

By Michelle Jones, Fashion News GF

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