re:imagine

When our ancestors moved across the earth, change came in centuries. Stone gave way to bronze. Bronze to iron. Tools grew sharper, but time moved slowly. Now, progress arrives on a 24-hour news cycle. Great leaps in knowledge barely graze the surface of our collective attention. In this way, Artificial Intelligence has entered the world with speed and scale, reshaping how we live, work, and create. But in this rush forward, a question lingers:

The definition of Artificial Intelligence (AI, from now on) is fraught with debate and developments, as the field is rapidly advancing and reaching its own limitations. Paraphrasing a panel of European Commission experts, AI can be defined as a system designed by humans that, given a complex goal, can act in the physical or digital dimension by perceiving its environment, interpreting data, and deciding the best action to take to achieve said goal. AI is used for a variety of purposes. In our current ecosystem, there are two main types of AI, as IBM notes: predictive and generative AI. Predictive AI is built to see patterns, tracing lines through past data to glimpse what may come next. By blending statistical analysis with machine learning, it forecasts outcomes, drawing its conclusions from what has already been. It does not imagine, but calculates — and in doing so, offers a map of likelihoods, not certainties. Generative AI, by contrast, responds to prompts with creation. Trained on enormous volumes of raw data, it learns the hidden logic of what has come before and reshapes audio, images, text, video, or code into something that answers the prompt.

AI, in its predictive and generative variants, has already transformed industries. AI can be better than doctors at diagnosing patients, and sales calls might be a thing of the past with completely automated outreach platforms like Artisan. Whether we like it or not, companies are embracing this new tech without any guardrails. In a chilling piece for The Guardian, David Duvenaud, Associate Professor at the University of Toronto, ponders the eventual disempowerment of the human race when AI improves its capacity and replaces our role in society. What happens when the “human” becomes synonymous with costly, ineffective and too irrational? We’re already seeing some of the dystopia come to life. The first field to feel the direct impact of AI has been the creative one, with artists, copywriters and voice actors being openly replaced with software like Midjourney or ChatGPT. Tech companies are also replacing entry-level roles with AI. The future is here, and it might just require fewer of us around. While this might feel haunting, AI is not close to replacing human will or intelligence. For now, we know it has very clear limitations, like its propensity towards hallucinations or its inability to create its own goals. Thanks to people’s resistance and the allure of reality, we are still bound to the physical. And not all industries are folding to AI’s wind. Luxury may be experimenting with change, but not without question.

Luxury is rooted in the human touch — in the artistry and craftsmanship of an object, a space, an experience. It offers immense value, so much so that clients will travel miles, save for years, and sit patiently on waiting lists just to acquire one of its identity markers. Luxury sells friction — through scarcity, ritual and restraint — so that the final acquisition feels not just desirable, but earned. What’s being bought isn’t simply a product, but a sense of meaning. AI, meanwhile, is all about immediate access. It offers easy answers and ego-boosting responses. It doesn’t ask for patience, only prompts. It’s fast, frictionless, and available to anyone. It’s the simplest option — and often, the cheapest.

According to Bain & Company, large luxury Maisons are experimenting with nearly six AI use cases on average. Operational efficiency leads the charge: forecasting demand, allocating stock, streamlining logistics. On the other hand, the more accessible and less costly Generative AI is not being embraced by the industry. Fewer than 5% of Maisons have ventured into AI-assisted creativity. The reason? The fear of eroding the mystique, the savoir-faire, the soul.

Daniel Langer, one of the world's foremost authorities on luxury brand strategy and high-net-worth behaviour, warns of AI’s tendency to strip away the emotional nuance that defines true luxury. When experiences become too automated, too data-driven, they begin to feel less like rituals and more like transactions. And when that happens, something vital and intimate is lost. Stéphane JG Girod, Professor of Strategy and Organisational Innovation at IMD, goes further. He reminds us that AI carries hidden costs: not just environmental and legal, but cultural.

Luxury has always been shaped by scarcity. What is rare becomes sacred. And in a world where sameness and flawlessness threaten to flatten the edges of our existence, humanity — with all its texture, contradiction and depth — may well become the ultimate luxury of our time. That’s why our craft hinges on the art of transformation; turning reclaimed and antique wood into enduring works of beauty. These materials do not come to us unharmed or unworn; they bare the marks of time and use. They are profoundly human in their imperfection, and our role is to forge new life within the already lived. Antique wood shows us the power of restoration, and or admiring the different and storied.

The human genius is irreplaceable because it is filtered through millions of emotional filters that distort and exalt the factual. Our childhoods and languages shape the rugged landscape of our brains, creating neural connections that can’t be emulated by written code. We do not have the best memories, or the fastest processing chips, but we have a unique fingerprint of memory and cultural understanding. And through it, we transform our experiences into new ideas. Modern science grounds this to the complex architecture of our brains. Ancient wisdom connects this to one consciousness, one transcendent journey. Ultimately, our individual, irreplicable context makes us different to the systems we code, and the intelligences we create.

Generative AI is not immaterial. Its apparent lightness hides a weighty footprint. Behind every generated image, code snippet, or poetic line lies a vast network of servers, cooled with water, powered by fossil energy, and maintained by systems that hunger for scale. In 2023 alone, the training of a single large model increased a company’s water consumption by over a third. By 2027, AI’s thirst may account for half of the UK’s total water usage. And this is just one part of the cost — greenhouse gas emissions, rare-earth extraction, and electronic waste follow close behind. In the ongoing climate crisis, this new weight might prove unbearable.

AI holds immense promise — its ability to learn, recognise patterns, and bring clarity to complexity is undeniable. But how we build it matters as much as what it can do. The question is no longer whether AI should exist — it already does — but how it should exist. Rather than pushing deeper into human territory, replacing creativity, emotion, or judgment, what if we focused on strengthening its foundations? Improving chip efficiency. Reducing emissions. Lowering water consumption. Using AI to enhance lives — not strip away the human touch from our work. Progress doesn’t need to come at our expense. Innovation should serve life, not compete with it. In this new age, we invite you to value what is often overlooked: the quiet luxury of difference, the inevitability of change, the beauty of things that age with grace. There is wisdom in the weathered, comfort in the imperfect, and dignity in what doesn’t try to please everyone. Embrace imperfection. Lean into the unique. Be human.