Tag Archives: ai

The world doesn’t need another post on Ai and creativity, but here’s one anyway

Apropos of nothing, I keep circling back to Bjarke Ingels’ throwaway observation he shared recently on Instagram about Ai prompting feeling a bit like briefing a team. You describe an intention, something comes back, you adjust. Anyone who’s spent time in a design or strategy studio recognises that scenario instantly, the loose sketch of an idea, the return volley, the shrug, the “maybe try it with less… erm whatever that is.” It felt like it was a nice clean analogy and I was nodding along.

But a studio isn’t a stochastic mirror. It’s a small society of taste and memory. People remember your last terrible idea. Someone raises an eyebrow when a line of copy looks off or a Figma file has gone fully feral. Someone else brings up the project you swore you’d never repeat. The feedback loop is human, textured, occasionally bruising. There’s judgement, shared reference points, work blue-tac’d up on the walls and a quiet sense of “let’s not embarrass ourselves again.”

This is where Ingels’ analogy starts to wobble. When you brief a human, you’re drawing on their judgement, experience, and the unspoken etiquette of a team. When you brief Ai, it behaves nothing like a junior designer and everything like a very confident autocomplete. It gives you the shape of participation without the substance. A colleague can resist you, encourage you to slow you down, challenge the premise. A (poorly prompted) model can’t. It just accelerates whatever direction you gesture toward, even when said direction is wafer thin.

And that, dear reader, is the seduction.

You type a mood, an intention, a half-formed thought, and it hands you an almost-finished artefact that looks uncannily like something you might have made if you’d only had more time or fewer meetings. The danger isn’t metaphysical (“is it creative?” please f- off, of course it is, have you actually looked up the definition of creative?1). The danger is how easy it becomes to confuse fluency with thought.

In my view, craft survives when you know what good feels like before you’ve picked up the pen or clicked New Document. And that’s the bit people don’t want to hear. The reasoning, the taste, the internal guardrails — they’re all invisible, they take years. Instead we’ve bred a culture (particularly evident on LinkedIn) where commentary stands in for competence, and Ai’s instant coherence makes that substitution feel almost legitimate.

I’m genuinely unmoved by the theological wrangling over whether Ai creates. If it’s parrot or Picasso. It’s a probabilistic parlour trick. What matters is simpler: whether the person using it can spot when the output stops making sense and is in fact bullshitting. Shallow but shiny. A calculator is harmless until someone who never learned to add starts doing the accounts. As the kids say “Same energy”.

Used properly, Ai is a fast way to think aloud, and as a sole practitioner, it’s become one of my favourite ways to work. It’s my pressure valve. A drafting companion. It pushes out variations I’d never have the patience to make by hand. But it only works because I already have a decades long sense of structure and gut instinct, the bit that quietly mutters “nope, that’s wrong”, or more accurately “what the actual fuck?” before I can articulate why. Without that, the tool becomes the teacher, and its blind spots become your worldview. I keep thinking about graduates walking straight into roles heavily emboldened by Ai before their judgement has even started to calcify and in that sense it’s a bit like giving a BMW M3 to someone who’s just passed their test. The horsepower arrives long before the skill that stops you putting in a hedge.

This is why the creative and consultancy industries feel brittle. So many people want the polished thought without the unglamorous labour that gives it heft. They want the sketch without the sketching. The judgement without the years that make judgement possible. And Ai, obliging thing that it is, makes that performance look convincing enough to fool the untrained eye, and sometimes even the trained one.

None of this makes the technology good or bad. It just makes it pretty shouty. And once a tool starts talking back, the responsibility shifts to the person holding it. Which is really just to say: the work doesn’t get better because the software is clever. It gets better because someone in the room still knows what good feels like.

AI: This piece was assisted with Ai. I used it for the tags, excerpt, the image generation and a little sub-editing. The ideas, references, and anecdotes were, however all mine.

  1. If you want the long version of why the question “Is Ai creative?” is a trap, Lisa Talia Moretti does a tidy job of dismantling it. She walks through the mess of competing definitions, points out the extent of human labour and data sit behind every so-called “creative” output, and ends up arguing that generative Ai is better understood as a medium than a tool. ↩︎
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Predictive Luxury: When the Algorithm Decides You’re Worth It

The paradox of modern luxury is that the more precisely it knows us, the less we seem to want it.
AI-driven personalisation flatters our taste so efficiently that desire itself begins to flatten. You open an app and there it is – the jacket you’d half-imagined, or the playlist that mirrors your mood before you’ve named it. The system anticipates, arranges, and completes. It feels frictionless, even generous.

But when everything fits this neatly, what’s left to reach for? Desire once depended on a perceptible gap, the space between wanting and getting. Now that gap has been optimised away. We no longer aspire; we’re simply anticipated.

Behind that easy charm sits a machinery, an industry, of prediction. Every scroll, hover, and hesitation becomes a confession. From these micro-gestures, the algorithm builds a probabilistic portrait: accurate enough to sell to, not to know.

This is predictive luxury – the luxury of convenience. It packages aspiration for the mass-affluent, translating status into data. The product is still expensive, but the experience is engineered for scale: “exclusive” taste delivered by statistical consensus. What once required discernment now arrives pre-approved.

To be clear, this isn’t curation. It’s correlation. Your discernment becomes the weighted average of everyone who clicked before you. Luxury houses once guarded their ateliers; now they guard their datasets. What was once stitched by hand is now inferred by pattern.

The shift sounds harmless until you notice what it removes.
Aspiration (the slow, self-defining kind) relies on uncertainty. We learned our taste through trial, boredom, and even embarrassment. Those edges are gone. There’s no risk in going to the restaurant where the algorithm has all but booked you the table. The algorithm keeps our preferences in a holding pattern, replaying what we’ve already confirmed, always within one standard deviation of safety.

The Predictive Plateau: a system that sells us the most probable choice, not the most interesting one. Left unchecked, it narrows the collective palate. As I argued in Luxury UX: Beyond Veneer, lasting equity comes from structure and restraint, not surface gloss. The real risk for luxury brands isn’t technological obsolescence but aesthetic homogeneity, a market trained to prefer the median.

Prediction is never neutral. Behind every act of personalisation sits a hierarchy of visibility, whom the machine believes is worth showing first. The more data you surrender, the clearer your silhouette in its model; those who resist become statistical ghosts.

There’s a quiet economics to this. By automating inequality, the algorithm devalues any form of wealth it cannot quantify or identify. The ultimate luxury, then, is to disappear from the data entirely, to operate through introductions, word of mouth, and private networks. The truly exclusive product is the one the algorithm cannot find, let alone recommend.

And yet there’s still one lever left: intentionality. The deliberate pause before purchase. The refusal to click “similar items”. The act of finding something the algorithm couldn’t possibly have foreseen. In a world of predictive luxury, this is not passive rebellion but an active aesthetic stance, a luxury of choice by will.

The smartest brands will design for this intentionality, not against it. They’ll reintroduce or retain friction as a feature: the waitlist, the mandatory consultation, the garment that demands to be felt. These are not inefficiencies but signals of depth, proof that the experience values attention over automation.

For all its precision, predictive luxury leaves a vacuum at the top. Once algorithms have colonised the middle (the mass-affluent market chasing “smart” recommendations), genuine exclusivity must move elsewhere. Increasingly, it drifts back to what machines can’t do: interpretation, eccentricity, the unrepeatable judgement of people who know.

That’s where true luxury now lives, in human-centred unpredictability. The ultra-wealthy and the culturally literate aren’t rejecting technology; they’re augmenting it. Data may light the runway, but the finale still belongs to the artisan, the editor, the quietly idiosyncratic expert who can surprise you in ways no model can.

Close-up of a tailor’s worktable lit by soft natural light, showing thread spools, scissors, and a half-finished jacket with a visible imperfect seam — an image symbolising human craftsmanship and intentional imperfection in contrast to algorithmic precision.

British luxury has long understood this. Our best exports – Savile Row, Bentley Mulliner, McQueen, Hockney, Grayson Perry – thrive on that narrow line between discipline and disobedience. Their genius isn’t efficiency but editing: knowing when to break symmetry, when to leave the imperfect seam that proves a hand was there. The imperfect seam is a brand’s deliberate investment in unscalable production – the final, physical proof of value when all scalable processes have been commoditised. Curation, as I’ve argued before, isn’t collection. It’s the art of choosing what not to automate.

The challenge for brands now is to build value not through correlation but through judgement. To shift from efficiency to experience, from prediction to anti-prediction. Their next digital frontier isn’t better personalisation; it’s deliberate unpredictability, the algorithm that refuses to close the loop. Designing such friction isn’t romantic contrarianism; it’s the only sustainable strategy for generating new forms of scarcity, and with them, price elasticity.

Because in an economy obsessed with knowing what comes next, the rarest thing a brand can offer is the pleasure of not knowing, of being surprised, seen, and momentarily off-script. That’s the new exclusivity. That’s predictive luxury, undone.

Acknowledgements: This piece was partly inspired by Antonia Hock’s recent post on invisibility and the next era of ultra-luxury.

AI: This piece was refined with AI, for the image prompt, tags, excerpt, and a little sub-editing. The ideas, references, and rhythm are mine. You can still see my hand.

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