Man in the Middle

In 2022 I graduated in Fashion Culture and Techniques with a thesis on how the fashion industry is being reshaped by the fourth industrial revolution. I didn't come to this topic as a student discovering something new — I'd already lived most of it on the factory floor, years before I ever opened a textbook.

Sociologists W.F. Whyte and C.W. Mills described certain professions as occupying a "man in the middle" position — mediating between two worlds that rarely speak to each other directly. It's an idea I didn't invent, but that represents me better than any other, and the one I chose as the lens for the thesis's final chapter: applied to fashion design, it's the clearest way I've found to describe what I actually do.

A designer is like a DJ mixing a set, or a painter finishing a piece before a show — what matters isn't the size of the audience, it's completing the work. That instinct hasn't changed since the first couturiers of the late 1800s. What changes is the tools: the sketchbook becomes a tablet, the pattern room becomes a 3D engine, the runway becomes, sometimes, a screen.

My take is this: new technology won't erase that instinct — it will test it. The designers who make it through this shift won't be the ones who resist computers, robotics, or AI. They'll be the ones who master the new tools without losing the eye that made them designers in the first place. The industry doesn't need designers who feel like the center of the universe. It needs designers willing to get back on the ground, learn the new tools, and use them to build something more honest.

I've lived that position from the inside, not the outside. I grew up around industrial machines and quality control before I ever opened a design software. Today I work exactly at the point where an idea becomes a tech pack, a tech pack becomes a cost, and a cost becomes a real, producible garment. That's the middle. That's where I've always been.

Thesis Concept

Industry 4.0 moves along four lines: data and connectivity (Big Data, IoT, Cloud), analytics and machine learning turning data into predictive value, human-machine interaction (touch interfaces, augmented reality), and the bridge from digital to physical — additive manufacturing, robotics, 3D printing.

Applied to fashion, this shift runs through the whole supply chain. In design and retail: increasingly specialized software, demand forecasting powered by deep learning, virtual style assistants putting personal styling within reach of people who couldn't afford it before, retail reorganizing around in-store AR/VR and the first metaverse fashion weeks, where garments exist only as data and are worn only by avatars. In production: e-textiles and smart clothing that react to temperature and movement, robotics moving deeper into cutting and sewing, not just warehouses, and 3D printing opening the door to a glocal model: local production at its best — the kind Italy has always done better than anywhere else — paired with on-demand shipping anywhere in the world. Not local instead of global: the best of both, built on craftsmanship rather than volume.

None of this is neutral. Mass production has already pushed the industry into overcapacity, waste, and a race to the bottom that damages both the planet and the people inside the supply chain. The shift this thesis describes isn't automation for its own sake — it's a chance to move fashion from being disposable toward being useful again: smaller runs, better-made garments, production that answers to the people who'll actually wear them.

The chapter on sustainability starts from a structural problem: the fashion system still largely runs on a linear model — "cradle to grave" — where raw materials are extracted, turned into garments, sold, and eventually discarded, often after a life far shorter than those materials deserve. The thesis explores the shift to a circular model, "cradle to cradle": garments, fabrics and fibers that keep their value throughout use and are fed back into the supply chain instead of becoming waste. It isn't just an environmental question — it's also a value chain question: traceability and transparency, often enabled by technologies like blockchain, make it possible to actually know where a garment came from and how it was made. The shift from a product model to a service model — repair, rental, resale, remake — redesigns how a brand creates value, no longer just by selling new garments but by extending their useful life. It's a shift that concerns companies as much as designers: a designer who thinks about circularity from the concept stage — materials, construction, how easily a garment can be taken apart — shapes the entire life cycle of a product, not just its initial look.