Brand is the humanisation of non-human things. And Humans are changing.

Luke Kelly

  • Brand
  • AI
Brand is the humanisation of non-human things. And Humans are changing.
  • Brand
  • AI

Luke Kelly

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Everything is seemingly changing around us, at breakneck speed. AI is killing whole verticals on a daily basis if you believe our feeds. Design is dead. Figma is dead. SaaS is cooked. It's all over. Or if your echo chamber sits at the other pole, AI is a bubble and it's all a sham.

All the hyperbole is missing what's really changing. Or in fact, perhaps you could say that it's experiencing the change without understanding it.

The most interesting thing with AI for me right now, and to an extent blockchain before it, is the questions it forces us to answer about what is valuable to us as humans. From a market perspective yes, but on a deeper level too. What does it mean to be human? What gives us purpose? What does ownership and "intellectual property" really mean?

This is where the recalibration is happening. And as I think about what comes next for Airborne as an agency, for us (and by us I mean our global creative community) as creatives and builders and particularly for brand as a discipline and business asset, it's through this lens that I'm trying to understand it.

Both ends of the bridge are changing

Point that lens at brand specifically and a few things come into focus.

Brand has always been the humanisation of non-human things. A company is an abstraction – a legal entity, a strategy, a payroll, a balance sheet, some lines of code. Brand is the work of turning that abstraction into something a human can recognise, trust and feel something about. Personality wrapped around organisation. That all it's ever been ultimately.

Which is why this AI moment is bigger than a tooling question. Brand has always had one job: connecting non-human entities to humans. The non-human end of that bridge is changing fast – that's the part everyone's talking about. The human end is changing too, and that part is barely in the conversation when it comes to the business reaction. What people value, what they trust, what ownership and attention and authenticity actually mean – all of it is moving. We're in the middle of working out what "human" means next.

That makes the failure mode obvious. It isn't AI replacing brand designers. It's overlaying old thinking onto new tools. Producing more polished, more professional, more abundant brand work – for a world that's stopped caring about the things that brand work used to be optimised to do.

The interesting work is the opposite. Understanding where human responses are changing as the ground shifts. What feels human to a human now, when the volume of competent non-human output keeps rising. What signals depth, attention, taste in a world where polish is free. And then placing brands smartly inside that.

This is what I've started calling programmable brand (a working title). Yes, it's about adapting to an AI production environment – encoding brand intelligence so AI can carry it forward at scale. But that's the easier half. The harder half, and the part most of the conversation is skipping, is about thinking carefully about what humans in this new world understand about themselves, and how brands operate inside that understanding. The production question only really matters if you've answered the prior one. What is the brand doing in the first place, in a culture that's itself being remade?

We need to keep that question in mind, because the production side – where most of the current attention sits – only makes sense in light of it.

Polished is (more or less) free now

Polished execution is almost free now (depending on your interpretation of "polished"). AI tools can produce a passable logo in seconds. Web copy that on the surface reads as "good" can be smashed out in one prompt. Photography that looks professional on the surface can be summoned into existence for a few tokens. A lot of brand work shipping today already involves AI somewhere in the process. Most of it lands at "OK." Not bad. Just OK, in roughly the same way as everyone else's OK (with a few brilliant exceptions).

Which is exactly why the humanity captured in a brand – character, voice, the specific moves that make it itself – matters WAY more now, not less.

Brand work for the last fifty years has run on one fairly universal model (whatever all the different branded agency processes might have you believe). A team digs into a business and synthesises its character into a personality. Voice. Visual identity. The language it uses, the language it doesn't. The end product is a set of guidelines designed to point human practitioners at work that feels like the brand and away from work that doesn't.

In the last decade, that has started involving digital guidelines with motion language and a few other components. But the process largely has remained the same.

That has worked because experienced practitioners will read the guidelines, absorb them, sit alongside the existing work, and make better decisions than the document alone could ever specify. The guidelines were the prompt. The practitioner was the engine. The core driver has been very targeted human intelligence, trained on specific types of creativity.

What changes now isn't the guidelines half. Decent brand systems have been getting steadily more capable for a decade. What changes is the practitioner half – because AI is starting to do parts of the practitioner's job. Not all of it. Not all of the seriously creative parts. But enough that a real question opens up. How do you keep what's valuable about the practitioner in the work, when AI is producing more and more of the output?

And going back to the polarised nature of this conversation, some people (assuming anyone is reading this) may well be screaming – "fuck AI, it's taking our jobs – let the designers keep designing!!" – but that doesn't help change the reality emerging before us. Just like when Apple Mac's arrived at the end of the 80's and completely changed the way creative work was done. Or the emergence of the internet shifting value from one area of design to another new area (my first job was at a printers, and I saw this up close) – AI is creating a new paradigm. Serious branding work is going to have to exist at a scale beyond what's manageable by human artworkers, in all sorts of currently unknown interfaces and environments. So what does that look like in terms of process?

What are we actually encoding?

It's also a problem that changes more on the visual side than on the written side. Tone of voice has been encodable, in detail, for years – the structures we use already capture a lot of what makes a particular brand sound like itself. Visual identity is harder. Logos and basic asset behaviour scale fine. The harder question is art direction at scale. Photography choices, illustration commissions, the editorial sensibility that decides what gets shown and from what angle, the layout instincts that turn a generic template into something that feels like the brand. Those are the parts that have always sat with the senior creative practitioner. And the parts current AI tooling handles least well.

I don't yet know what the answer is on the visual side. I know what the answer isn't. The answer isn't designers reduced to QA on AI output. That isn't art direction. That's proofing.

The work creative directors have done for decades – curating, editing, pushing references into the brief, holding the line on the moves that make the brand recognisable, reading what the moment wants – has to stay at the centre. Not migrate to the margin.

Two versions of programmable brand are visible from here. The version worth building keeps the practitioner as creative director, augmented by a system that produces faster and against tighter brand intelligence than they could deliver alone. The version worth avoiding puts the practitioner in the role of inspector, signing off whatever the system happened to produce. One is the human thing, scaled. The other is the AI thing, badly disguised.

Visual is the harder problem

It's also a problem that changes more on the visual side than on the written side. Tone of voice has been encodable, in detail, for years – the structures we use already capture a lot of what makes a particular brand sound like itself. Visual identity is harder. Logos and basic asset behaviour scale fine. The harder question is art direction at scale. Photography choices, illustration commissions, the editorial sensibility that decides what gets shown and from what angle, the layout instincts that turn a generic template into something that feels like the brand. Those are the parts that have always sat with the senior creative practitioner. And the parts current AI tooling handles least well.

I don't yet know what the answer is on the visual side. I know what the answer isn't. The answer isn't designers reduced to QA on AI output. That isn't art direction. That's proofing.

The work creative directors have done for decades – curating, editing, pushing references into the brief, holding the line on the moves that make the brand recognisable, reading what the moment wants – has to stay at the centre. Not migrate to the margin.

Two versions of programmable brand are visible from here. The version worth building keeps the practitioner as creative director, augmented by a system that produces faster and against tighter brand intelligence than they could deliver alone. The version worth avoiding puts the practitioner in the role of inspector, signing off whatever the system happened to produce. One is the human thing, scaled. The other is the AI thing, badly disguised.

What keeps proving true

I don't have a finished framework for the version worth building. I'm not sure anyone honestly does yet. But a few things keep proving true in the work.

The artefact looks more like editorial than like a design system. Less a component library, more an annotated reference set – examples of what the brand is doing well, with notes on why, written so an AI can actually read them. The work is curation and explanation, not specification.

The brand intelligence has to be alive, not finished. A static guidelines PDF is the wrong shape for this. What the AI references needs to be updated as the culture moves, by people whose job is partly to read the room.

The system has to know what to do when it doesn't know what to do. Most current AI tooling guesses and ships. The version worth building defers, flags, or hands the moment back to a human – visibly, not silently.

And the practitioner is irreplaceable, not symbolic. The failure mode is bringing a senior creative in for credibility and pushing them to the inspection step. The version that works keeps them in the brief, the references, the editing. At the centre. Doing the work, not signing it off.

As a studio, we have been working with AI in our process for several years. We have early experiments running on what programmable brand looks like in practice. We don't have it nailed. No proprietary tools to point to. No finished methodology to sell. What we have is a thesis we're testing in the actual work, with actual clients, in real time – and the four observations above, which feel sturdy enough to share.

I'm surfacing it now, ahead of cleanly worked examples, because the question feels too important to wait for a tidy answer. Brands that hesitate here will produce a great deal of polished, professionally competent output that could have come from anywhere – and that will increasingly fail to land with audiences whose sense of what matters is shifting underneath them. Brands that get it right will produce work at AI scale that still feels distinctively theirs, and that meets the moment as it actually is, not as it used to be.

The qualities being encoded, when this works, are still fundamentally, human. Both kinds. The character of the brand, and the culture it speaks into. Programmable brand as I'm trying to define it isn't replacement. It's synthesis. Get the synthesis right and brand becomes more itself, at more touchpoints than has ever been possible, in a culture that isn't holding still. Get it wrong and you build a faster smoothing machine than the competition, optimised for a world that no longer exists.

The work is in the difference. And in keeping the difference human – in a world where what "human" means is itself in motion.