by Ber | Apr 21, 2026 | AI & The Future of Creative Work
There is a sentence being written in creative departments around the world, probably right now, that reads something like this: “Act as a senior brand strategist with fifteen years of experience in FMCG. Given the following brief, generate three distinct creative territories that balance emotional resonance with commercial clarity, optimized for a 35-44 demographic with household income above €60,000.”
This sentence is a prompt. It is also, functionally, a brief. And it is being written by someone who may or may not be a senior brand strategist, probably took about ninety seconds to compose, and will produce — within another thirty seconds — outputs that would have taken a junior team two days to generate.
The creative brief has survived fax machines, email, Notion, and the introduction of the slide deck as a substitute for actual thinking. It is now facing something more fundamental: a technology that doesn’t need the brief in order to produce work, but that works significantly better when given one.
What happens to the brief when the brief becomes the product?
What the Brief Was Actually For
To understand what’s changing, it helps to be honest about what the brief was always doing.
The creative brief was never just an information transfer document. It was a translation layer — a negotiation between what a client wanted (usually: “more sales, please, while remaining premium and feeling youthful”) and what a creative team needed (“a specific problem, a specific audience, and some indication of what success looks like so we don’t spend four weeks going in the wrong direction”).
The brief was also a forcing function. It made clients articulate things they’d been avoiding — like who exactly they were trying to reach, or what they were actually willing to say about their product, or how they defined success beyond “feels right.” Writing a brief is hard. Reading a brief is sometimes harder. Both parties hate the brief and both parties need it, which is why it has survived every attempt to eliminate it.
What AI has done is not eliminate the brief. It has moved where the brief lives.
The Prompt Is a Brief. Argue With Me.
A well-written prompt shares every structural characteristic of a well-written creative brief. It defines the role of the executor (system prompt as positioning statement). It describes the audience (context about who the output is for). It specifies the task (what needs to be created). It sets constraints (tone, length, format, things to avoid). It provides success criteria (examples of what good looks like).
The difference is that when you write a bad brief and hand it to a human team, the team does one of three things: they ask clarifying questions, they make assumptions and proceed, or they produce work that’s wrong in ways that won’t become apparent until the third round of revisions. When you write a bad prompt and hand it to an AI, the AI produces plausible-sounding garbage immediately, at scale, with complete confidence.
This is not a criticism of AI. It is an observation about the nature of the brief. The brief was always a quality-of-input problem. AI has just made the consequences of a bad brief faster, cheaper, and more obviously visible.
The creatives who are thriving with generative tools are, almost without exception, people who have always been good at briefs. The ability to define a problem precisely, to articulate an audience with specificity, to describe a desired output in terms that a collaborator can act on — these are exactly the skills that make a prompt effective. They are also exactly the skills that have always separated good strategic creatives from mediocre ones.
The Authorship Question Nobody Wants to Answer
Here is where it gets complicated.
If a creative director writes a 400-word prompt, an AI generates three creative concepts, and those concepts are presented to a client as agency work — who wrote the work? The instinctive answer is “the agency,” and for legal and commercial purposes, that’s probably correct. But the honest answer is more interesting.
The creative director authored the problem statement. The AI authored the solutions. The creative director selected and curated the outputs. In a different framing, that’s not so different from a CD briefing a junior team and selecting from what they produce. But in another framing, it’s entirely different, because the junior team brought lived experience, cultural context, and the kind of lateral thinking that comes from being a person in the world.
Whether those things matter depends, somewhat inconveniently, on the brief. For some briefs, they matter enormously. For others — a product description, a social caption, a headline iteration for an existing campaign — they may not matter at all. The industry is not great at distinguishing between these two cases, partly because acknowledging the distinction would require acknowledging that some creative work is more valuable than other creative work, which is a conversation that touches on pricing, hierarchy, and the entire credentialing structure of the industry.
The related tension — between creative authorship and tool use — is explored from a different angle in the piece on the AI creative director. And for those thinking about how this reshapes the role of strategy, the augmented human vs. prompt executor question goes deeper on the identity side.
The Brief of the Future: Harder, Not Easier
There is a seductive narrative in which AI makes briefing easier. You input a vague description of what you want; the system asks clarifying questions; you answer; a perfect brief emerges. Some tools are already attempting this. They are, so far, useful for generating the shape of a brief but not for generating the insight inside it.
The insight — the thing that makes a brief actually work — is not information. It’s judgment. It’s the decision to focus on this tension in the audience’s life rather than that one. It’s the choice to position the product as a solution to an emotional problem rather than a functional one. It’s the willingness to say something specific rather than something safe.
AI is good at generating options. It is not good at deciding which option matters. That decision still belongs to a human, and it belongs specifically to a human who understands the brand, the audience, the market, and the difference between what’s true and what’s useful to say.
This is why the brief is not going away. What’s happening is more interesting: the brief is being compressed. The space between “defining the problem” and “generating possible solutions” has collapsed from days to minutes. Which means that the brief-writing stage, once padded by the logistics of handover and the production cycle, now needs to be good from the start. There’s no longer time to correct a bad brief in the first round of creative. The first round of creative is already in front of you before the brief has been properly interrogated.
Who Gets to Write the Prompt (And Why It Matters)
In many organizations, the prompt is currently being written by whoever is fastest to the keyboard. This is not a strategy. It is the same mistake organizations made when they let whoever wanted to set up the company Instagram account in 2012.
The prompt — like the brief it replaces — is a strategic document. It encodes assumptions about the audience, the brand, the problem, and what success looks like. Those assumptions, once encoded in a prompt that generates ten variations, are hard to interrogate after the fact. You’re evaluating outputs without questioning the inputs that produced them.
Organizations that take this seriously are starting to develop prompt libraries — curated collections of effective prompt structures for recurring creative tasks. This is, structurally, identical to having good brief templates. It is also, structurally, the kind of institutional creative knowledge that used to live in strategists’ heads and is now being formalized because the tool requires formalization.
The people building these libraries are the people whose careers will be fine. The people treating prompting as a tactical shortcut rather than a strategic skill are accumulating a deficit they haven’t noticed yet.
The Credit Question, Finally
Awards entries are going to get interesting. Not because the industry hasn’t already started submitting AI-assisted work — it has, and the disclosure norms are murky at best — but because the question of who gets the credit is genuinely unresolved in a way that previous technological shifts weren’t.
When Photoshop arrived, nobody gave the software a credit. When strategy frameworks became widespread, the frameworks didn’t get bylines. But AI is generating outputs that are substantive enough that the “tool” framing is starting to strain. The tool is making creative decisions. The tool is choosing metaphors. The tool is, in a meaningful sense, authoring.
This doesn’t mean it should get a credit. But it does mean that the human who wrote the prompt — the person who defined the problem, set the constraints, and curated the output — deserves more recognition than they typically receive. They are, in the emerging model, the brief-writer as creative. They are the people doing the work that makes the work possible.
Which has always been true of the best strategists and the best account teams. AI has just made it harder to ignore.
If you’re building a creative practice that actually thinks about what it’s doing — rather than just generating faster — the NoBriefs Club shop exists for people who’ve decided that having standards is not a liability. The Insurgency Journal keeps running because some of us still think that knowing what you’re doing matters more than how fast you can do it.
Say it without saying it
The Fuck The Brief tee is the one that says it out loud. Wear it to the kick-off at your own risk.
by Ber | Apr 14, 2026 | AI & The Future of Creative Work
The AI Creative Director: Who Owns the Work When the Machine Calls the Shots
In the spring of 2023, a major advertising agency announced it had used generative AI to produce a full campaign — copy, visuals, strategy rationale — in a fraction of the time a traditional process would have required. The client was delighted. The creative team was, depending on who you asked, either “excited about the new workflow possibilities” or quietly updating their LinkedIn profiles. The AI, for its part, had no opinion. The AI never has an opinion. This is precisely the problem.
We are now two years into the generative AI creative revolution and the conversation remains stubbornly stuck between two poles: the enthusiasts who believe AI is simply a better, faster tool, and the existentialists who believe the creative profession is being structurally dismantled. Both are partially right. Neither is asking the question that actually matters: when AI makes creative decisions — and it does, increasingly, make creative decisions — who is responsible for those decisions, and what does that mean for the people who used to be paid to make them?
What Creative Directors Actually Do (When They’re Doing It Right)
To understand what AI threatens, you first have to be honest about what a creative director actually does. The job title suggests curation and oversight. The reality, at its best, is something more specific and less describable: the creative director is the person in the room who knows when something is true.
Not true in the factual sense — advertising has always had a complex relationship with factual accuracy. True in the sense of resonant. True in the sense of “this is the thing that will land, that will lodge itself in a person’s memory, that will create the feeling we are trying to create.” This kind of truth judgment is not algorithmic. It draws on cultural knowledge, on emotional intelligence, on an understanding of what a specific audience in a specific moment is ready to receive. It requires, in short, a perspective. A point of view developed through years of paying attention to the world.
AI doesn’t have a point of view. It has patterns. It has learned, from an enormous corpus of human creative work, what kinds of things tend to appear next to what other kinds of things. When you ask it to generate a campaign for a sustainable running shoe, it will produce something that looks and sounds like the things that have appeared next to sustainable running shoes before. This is useful. It is not the same as insight.
The best creative directors — the ones who made work that mattered, that people remember, that changed how categories were perceived — were people who said things that were not already in the corpus. They introduced new combinations, new tones, new framings. They were ahead of the patterns, not behind them. AI, by definition, can only replicate and recombine patterns that already exist. The leading edge remains stubbornly human, at least for now.
The Prompt Is Not the Brief (But It’s Replacing It)
Here is where the situation gets genuinely complicated, and where the creative industry’s response has been, charitably, insufficient. The prompt has become the new brief. And the people writing the prompts are, in many agencies and marketing teams, not the senior creatives. They are the junior staff, the account team, sometimes the client directly.
This matters because the brief — the creative brief that nobody reads — was at least, in theory, a document that encoded strategic thinking before creative execution began. A good brief contained a genuine insight, a clear audience, a specific tension to be resolved. A prompt is often none of these things. A prompt is a description of a desired output. “A photo of a woman running through a forest, golden hour, feeling empowered, sustainable aesthetic.” That’s not a brief. That’s a mood board written as a sentence.
The downstream effect is that AI-generated creative work frequently looks competent and means nothing. It has the formal properties of creative work — composition, color, copy that scans correctly — without the connective tissue that makes creative work resonate. It is, to use a metaphor that will be immediately recognizable to anyone who has sat through the wrong kind of client presentation, a deck that looks right but doesn’t say anything.
The agencies that are using AI well are the ones that have understood this distinction. They are using AI to accelerate execution — rapid concept visualization, copy variation testing, production of assets at scale — while keeping the strategic and conceptual work stubbornly human. They are using KPI Shark not to validate AI outputs automatically, but to understand whether those outputs are actually doing what creative work is supposed to do. The tool is a multiplier. But you need something to multiply.
The Ownership Problem Nobody Is Solving
When a campaign that was substantially generated by AI wins an award, who accepts it? When AI-generated copy turns out to contain a message that is factually misleading or culturally offensive, who is responsible? When the brief said one thing and the AI produced another — which happens constantly, because prompts are not briefs — and the client approved the AI output without understanding what they’d approved, and then it runs in market and doesn’t work, who owns that failure?
These are not hypothetical questions. They are actively happening in agencies right now, and the answers being given are mostly variations on “the human who pressed the button,” which is technically accurate and essentially meaningless. The person who pressed the button did not make the creative decision. The model made the creative decision, based on training data it assembled without editorial judgment, in response to a prompt that may or may not have encoded the actual strategic intent of the project.
The legal and professional infrastructure for this is essentially nonexistent. Contracts were not written for AI-assisted creative work. IP frameworks were not designed for outputs generated by models trained on human creative work without the consent of the humans who created it. The industry is operating in a gap between what the technology can do and what the frameworks surrounding it have caught up to. This gap is where most of the harm is currently happening — quietly, without anyone’s name on it.
The future of the brief is inseparable from the future of accountability. If nobody writes a real brief, nobody owns a real direction. And if nobody owns a real direction, nobody is responsible when the direction is wrong. AI has given the creative industry a powerful new tool and, simultaneously, an extremely convenient new place to put the blame.
The Creative Director AI Cannot Replace (Yet)
The good news, offered without excessive optimism, is that the creative function AI cannot replicate is also the creative function that has always been hardest to articulate, defend, and price. The ability to say something new — not recombined-new, not pattern-shuffled-new, but genuinely new in the way that changes how people see something — remains beyond what current models can do. The ability to understand cultural context at the moment it is shifting, before it has stabilized into pattern, remains a human advantage.
The creative directors who will thrive in this environment are not the ones who resist AI tools or perform anguish about them for the benefit of their industry peers on LinkedIn. They are the ones who have internalized that their actual value was never in the execution — it was always in the judgment. The judgment about when something is true. When it will land. When the strategy is wrong and needs to be broken before the work can be right. When the work needs to be defended and when it needs to be let go.
AI can produce a thousand variations. It cannot tell you which one matters. That distinction — knowing which one matters, and being willing to stake your professional reputation on the answer — is what a creative director is for. It is also, not coincidentally, the thing that makes the job interesting. A tool that makes the easy parts faster is a gift. It only feels like a threat if you were secretly worried that the easy parts were all you had.
The Question Worth Asking
The AI creative director is not coming for your job. It is coming for the parts of your job that were never really yours — the parts that were assembly, repetition, execution of someone else’s already-formed idea. What remains, after those parts are removed, is the part that was always the actual work: the thinking, the judgment, the willingness to say something true in a room full of people who would prefer something comfortable.
That part cannot be prompted. It cannot be automated. It can, however, be abdicated — and this is the real risk. Not that AI will replace creative directors, but that creative directors will use AI as an excuse to stop doing the hard work of forming genuine opinions about what is good and what is true and what will actually connect with the specific humans they are trying to reach. The machine will fill the vacuum. The machine always fills the vacuum. It has no ego investment in leaving space for you.
The brief of the future will be written by whoever has something to say. Make sure that’s you.
In a world where machines can do the easy work, the interesting work is the work that requires you to have actually lived something. The Fuck The Brief collection is for the creatives who still have opinions. Find it at nobriefsclub.com — no generative model required to tell you what it means.
by Ber | Apr 10, 2026 | AI & The Future of Creative Work
You are paying €340 per month in AI subscriptions. You have Midjourney for images, ChatGPT Plus for text, Claude Pro for when ChatGPT is wrong, Runway for video, ElevenLabs for voice, Perplexity for research, Notion AI because it came with Notion, Adobe Firefly because it came with Creative Cloud, Ideogram for typography-safe images, and one more whose name you’ve forgotten but the charge appears every month. You have never had more tools. You have never been less sure what to make. The creative AI revolution is real. It is also, for most practitioners, generating approximately thirty percent more work for approximately the same output quality, while creating an entirely new layer of existential anxiety about the future of the profession. Let’s talk about that honestly.
The Tool Acquisition Trap
Every creative who has spent the last two years engaging seriously with AI tools will recognize the trap: you try a new tool, it produces something genuinely impressive, you acquire a subscription, and then spend the next three months trying to incorporate it into actual work. Usually it helps for one specific use case. The rest of the time it sits in a browser tab, draining €20 a month and making you feel like you should be using it more. The tool acquisition is addictive because each new tool carries the implicit promise that this one will solve the creative problem — that the brief will make more sense, the concept will emerge faster, the client will be easier to satisfy. None of them solve the creative problem. The creative problem is upstream of the tools. The brief still makes no sense. You now just have more ways to generate outputs heading in the wrong direction faster. The Fuck The Brief poster on your studio wall sees through all of it.
The Generation Gap in Creative Process
What AI tools have genuinely changed: ideation volume. You can generate a hundred image concepts in the time it used to take to sketch three. You can produce ten different copy directions before lunch. What this means in practice: more rounds of review, more options to evaluate, more decisions to make before any human judgment is required about which direction is actually right. The creative team is now generating 10x the volume of work and spending proportionally more time in review and less time in direction-setting. We have made the middle of the process faster and the beginning and end harder. The beginning — defining what you’re actually trying to make — is still stubbornly human. The end — deciding whether it’s good, whether it’s true, whether it means something — remains stubbornly human. AI tools have accelerated the part of creativity that was already the least bottlenecked. The bottleneck was never making. It was deciding.
The New Creative Skill Nobody Teaches
The prompt is now a creative skill. Not as a replacement for traditional craft, but as an addition to it. Learning to describe visual ideas with sufficient precision to get useful AI outputs is genuinely hard and requires aesthetic vocabulary, directorial thinking, and iterative patience. It’s closer to art direction than typing. Practitioners who are good at it produce dramatically better results. A senior art director with 15 years of visual intelligence and a Midjourney subscription is more formidable than a junior designer with the same subscription and no visual vocabulary. The tools amplify what you already know. The bad news: a lot of people are using these tools as a shortcut around experience. The results look like AI outputs — technically competent, aesthetically familiar, oddly hollow. They will not save your brand.
Where This Actually Lands
The creative AI toolkit, honestly evaluated: most useful for exploration and concepting, moderately useful for production tasks on established visual systems, largely useless for the foundational strategic and creative decisions that determine whether the work is any good. Pay for the tools that fit your actual workflow. Kill the subscriptions you’re not using. Stop adding new ones every month because a newsletter told you it was transformative. The briefing process is still broken. The client approval chain is still irrational. The budget is still allocated incorrectly. No number of AI subscriptions will fix any of that. We’re sorry. Twelve tabs, twelve subscriptions, one brief that still makes no sense — at least dress the part: nobriefsclub.com/shop.
by Ber | Apr 10, 2026 | AI & The Future of Creative Work
The brief is already a document that nobody reads, written by someone who wasn’t sure what they were asking for, to be interpreted by creatives who will ignore most of it and then be blamed when the output doesn’t match an expectation that was never clearly stated. Into this system, we are now introducing generative AI. The results will be fascinating.
The Promise (As Sold at Every Conference Since 2023)
The pitch is seductive: AI will write better briefs. It will synthesize research automatically, structure the strategic thinking coherently, eliminate the vague language that causes misalignment, and produce a document that actually gives creatives what they need. No more “we want something disruptive but safe.” No more “the tone should be fun but professional.” No more briefs that describe the desired output as “something that feels like a Nike ad but for our category.” AI will bring rigor. AI will bring clarity.
This is a compelling vision that assumes the brief’s problems are primarily textual. They are not.
The Reality (What AI Actually Does to a Brief)
A generative AI fed a bad brief will produce a very well-written bad brief. It will be longer, more internally consistent, better structured, and no clearer about what actually needs to happen. The AI cannot fix a brief that was bad because the client doesn’t know what they want, because three different stakeholders have three different objectives, because the budget was set before the strategy, or because the whole project exists to justify a decision that was already made. These are organizational problems. No language model solves organizational problems.
What AI does do, efficiently and at scale, is eliminate the friction from brief-writing — the friction that sometimes forced a useful conversation about what was actually being asked. A brief that takes four hours of uncomfortable discussion to write is, occasionally, a brief that needed four hours of uncomfortable discussion. An AI that produces that brief in twelve minutes has not improved the process. It has just moved the confusion downstream, where it will detonate during the creative review.
The New Problems AI Briefs Create
When a human writes a vague brief, the creative team learns something about the client’s level of strategic clarity. The vagueness is data. When an AI writes a polished brief that sounds strategic but contains the same underlying ambiguity, the creative team may not notice until presentation day — at which point the client says “this isn’t what we asked for” and the AI-generated brief is cited as evidence that the ask was perfectly clear.
There is also the question of ownership. If the brief is AI-generated, who is responsible for it? The strategist who approved it? The platform that produced it? The client who provided the inputs? Accountability in creative processes is already a contested territory. AI authorship makes it considerably murkier.
What Actually Needs to Change
The brief doesn’t need to be written better. It needs to be interrogated harder before it is written at all. The questions that produce a good brief — What decision will this creative work enable? What does success look like in measurable terms? What are we willing to say no to? — are not questions AI can answer on behalf of an organization. They are questions that require the organization to do its thinking before the creative process begins.
AI can help structure those answers once they exist. It cannot substitute for the process of arriving at them. And for the creatives on the receiving end of whatever emerges: Fuck The Brief remains the appropriate response, AI-authored or otherwise. Available at the NoBriefs shop.
by Ber | Apr 5, 2026 | AI & The Future of Creative Work
Every six months, a new wave of AI-generated imagery floods the internet, and the same two camps emerge with the predictability of a brand strategy deck. Camp One: “AI is a tool, just like Photoshop was a tool, and creatives who adapt will thrive.” Camp Two: “This is the end of creativity as we know it, and we’re all going to be replaced by a teenager with a subscription.” Both camps are wrong, but in interestingly different ways, and the truth — as usual — is more uncomfortable than either narrative allows.
The creative of the future won’t be replaced by AI. But they also won’t simply be “augmented” in the clean, optimistic way that conference keynotes suggest. What’s actually happening is something messier: a fundamental restructuring of what creative work means, who gets to do it, and what we consider valuable about the human contribution. Spoiler: it’s not the part most creatives think it is.
The Myth of the Augmented Creative
The “augmented creative” narrative is comforting because it suggests continuity. You’ll still be a designer, a writer, a director — you’ll just have better tools. It’s the same story the industry told when desktop publishing arrived, when the internet happened, when social media turned every brand into a content factory. And like those previous disruptions, it’s partially true and mostly misleading.
What desktop publishing actually did was eliminate an entire profession — typesetters — while creating new roles that didn’t exist before. The internet didn’t augment print journalists; it destroyed the business model that paid their salaries and replaced it with something fundamentally different. Social media didn’t give creative directors more channels; it gave every intern with a phone the ability to bypass the creative department entirely.
AI will follow the same pattern. It won’t augment existing creative roles so much as dissolve the boundaries between them. When a strategist can generate visual concepts without a designer, when a product manager can produce copy without a writer, when a client can create “good enough” creative without an agency — the question isn’t whether creative professionals will exist. It’s what, specifically, they’ll be paid to do that a machine can’t approximate for a fraction of the cost.
The Taste Gap
Here’s the inconvenient truth that both AI evangelists and AI doomsayers miss: the hardest part of creative work was never the execution. It was knowing what to execute. It was taste, judgment, strategic thinking, and the ability to look at a hundred options and know which one will actually work — not because of data, but because of an accumulated understanding of culture, context, and human behavior that no model currently possesses.
AI can generate a thousand logo concepts in minutes. It cannot tell you which one will resonate with your specific audience, align with your brand strategy, and still look good embroidered on a cap. AI can write a dozen headline variations before you finish your coffee. It cannot feel the difference between clever and try-hard, between provocative and offensive, between simple and simplistic. That gap — the taste gap — is where the creative of the future lives. Maybe they should live there wearing a Fuck The Brief shirt from the NoBriefs shop, because the brief itself is about to get a lot weirder.
The problem is that taste is difficult to quantify, harder to teach, and almost impossible to sell in a procurement process that wants deliverables, timelines, and hourly rates. You can’t put “I’ll know the right answer when I see it” on an invoice. And yet that’s increasingly the most valuable thing a creative professional brings to the table.
The Prompt Babysitter Economy
What nobody is talking about — because it’s deeply unglamorous — is the emerging role of the creative as quality control inspector. Not the visionary art director steering a campaign from concept to execution. Not the writer crafting perfect sentences in a sunlit studio. But the person sitting between the AI output and the final product, fixing the weird hands, rewriting the sentences that sound slightly off, ensuring the brand voice doesn’t drift into uncanny valley territory.
This is the prompt babysitter: someone whose primary skill is recognizing when the machine has produced something good enough and when it hasn’t. It’s less romantic than “creative director” and more honest about what most AI-assisted work actually looks like in practice. You generate. You evaluate. You regenerate. You tweak. You spend more time editing machine output than producing original work. The craft shifts from creation to curation, from making to selecting.
Is this the future creatives signed up for? Absolutely not. Is it where a significant portion of the industry is headed? Almost certainly. The agencies that thrive won’t be the ones with the most talented individuals; they’ll be the ones that build the best systems for turning AI output into consistently excellent work. Process will eat talent for breakfast, and the Spreadsheet Sloth will become the industry’s spirit animal — slow, methodical, hanging upside down from a tree of data.
The Human Premium
But here’s where the story gets interesting. In a world of infinite AI-generated content, human-made creative work doesn’t become worthless. It becomes rare. And rarity, in any market, creates value. We’re already seeing this in other fields: handmade furniture commands a premium over IKEA not because it’s objectively better at holding books, but because someone made it. Vinyl records outsell digital downloads not because the sound quality justifies the price, but because the physical artifact means something.
The creative of the future might not be augmented or replaced. They might be artisanal. The premium won’t be on what you produce but on how you produce it — and whether a human brain, with all its beautiful inefficiency, was involved in the process. The best creatives won’t compete with AI on speed or volume. They’ll compete on meaning, on originality, on the kind of unexpected connections that only come from a mind that has lived a life, not trained on a dataset.
The future of creativity isn’t about the tools. It’s about what you do when the tools can do everything except think. Stay sharp, stay human, and stay weird. That’s the only competitive advantage that matters. Find more heretical perspectives at nobriefsclub.com.
by Ber | Mar 31, 2026 | AI & The Future of Creative Work
It finally happened. The machine made an ad. Not a weird, uncanny-valley fever dream with seven fingers and a logo that melts into a face — although those still exist and are deeply entertaining. A proper ad. Headline, visual, call to action, brand consistency. Ten minutes. Five variations. Zero existential crises. The creative director looked at the output, then looked at the brief, then looked at the twelve rounds of client feedback that would have inevitably destroyed anything a human team produced, and thought: “Honestly? The AI’s version is better. Not because it’s more creative. Because it never had to survive a committee.”
The Uncomfortable Truth About AI and Taste
Here’s the thing nobody in the industry wants to say out loud: for a significant percentage of advertising — the functional, workaday, keep-the-lights-on kind — AI doesn’t need to be brilliant. It needs to be competent. And competent is exactly what most clients have been asking for all along. “Make it clean. Make it clear. Make the logo bigger. Use this stock photo. Match the competitor’s layout.” These are not creative challenges. These are assembly instructions. And machines are very, very good at following assembly instructions.
The irony is almost poetic. For years, creatives have complained that clients don’t appreciate great work — that they water down bold ideas, default to safe choices, and end up with ads that could belong to any brand in any category. Now a machine can produce exactly that kind of work, faster and cheaper, and the industry is panicking. But the industry created this market. Every time a creative team delivered a bland, committee-approved piece of wallpaper advertising and called it “on-brand,” they were training the market to expect exactly what AI can now provide. The machine didn’t steal creativity. It automated mediocrity. And mediocrity was already the dominant product.
The uncomfortable corollary is that AI-generated ads are sometimes better than what emerges from the traditional process — not because the AI is more talented, but because it’s immune to the forces that destroy good work. The AI doesn’t have feelings that get hurt by vague feedback. It doesn’t get demoralized by the sixth revision. It doesn’t sit in a meeting quietly seething while a client explains that their spouse thought the color should be different. The AI just generates, adjusts, and regenerates. It’s the creative process stripped of politics, ego, and pain. Which is also the creative process stripped of humanity, but we’ll get to that.
What AI Can’t Do (Yet) (But Thinks It Can)
The AI generates competent advertising the way a GPS generates competent directions — efficiently, reliably, and without any understanding of why you’re going where you’re going. It can make an ad that hits every functional requirement. It cannot make an ad that makes someone feel something they’ve never felt before. It can write a headline that communicates the proposition. It cannot write a headline that makes a stranger stop scrolling, put down their coffee, and think about their life.
The gap between functional and remarkable is where human creativity lives, and that gap is wider than the AI evangelists want to admit. AI can interpolate between existing references — it can give you something that looks like the best of what already exists, remixed and recombined. What it can’t do is extrapolate — create something that doesn’t yet exist, something that breaks the pattern instead of perfecting it. The Volkswagen “Think Small” campaign wasn’t an interpolation of existing car ads. It was a rejection of everything car ads had been. AI can’t make that leap, because making that leap requires understanding not just what the audience expects, but what they’re tired of.
There’s also the context problem. AI doesn’t understand culture the way humans do. It can analyze sentiment data and trending topics, but it can’t feel the room. It doesn’t know that a certain phrase has become a meme, that a certain visual style now reads as ironic rather than sincere, that a certain cultural moment has shifted the meaning of words overnight. Culture is a living conversation, and AI reads the transcript — it doesn’t participate in the dialogue.
The Real Threat Isn’t AI — It’s the Client Who Doesn’t Know the Difference
The existential risk for creatives isn’t that AI will replace great work. It’s that the market won’t demand great work. If a client can get “good enough” in ten minutes for a fraction of the cost, the business case for “exceptional” becomes harder to make. And in an industry where procurement departments already treat creativity as a commodity, “good enough” is a very attractive proposition.
This is the KPI Shark problem at its most acute. When the metrics say the AI-generated version performs within five percent of the human-created version, the spreadsheet says go with the machine. The spreadsheet doesn’t measure the brand equity lost when every ad looks the same. It doesn’t quantify the cultural relevance surrendered when every piece of content is an average of existing content. It doesn’t capture the talent attrition when the best creatives leave an industry that no longer values what they do. The KPIs say the machine won. The KPIs are measuring the wrong game.
The clients who understand this — the ones who know that distinctive creativity is a competitive advantage, not a luxury — will continue to hire human teams. They’ll use AI as a tool, not a replacement. They’ll let the machine handle the production work while humans focus on the strategic and conceptual work that actually differentiates brands. These clients are rare. They’ve always been rare. But they’re the ones worth working for.
What Creatives Should Actually Do About All This
First, stop pretending AI isn’t happening. The ostrich strategy — head in sand, fingers in ears, “real creativity can never be automated” — is naive and professionally dangerous. AI is here. It’s getting better. And it’s going to absorb a significant portion of the production work that currently employs a lot of people. Denying this doesn’t make it less true. It just makes you less prepared.
Second, move up the value chain. If AI can generate a competent ad in ten minutes, your value isn’t in generating competent ads. Your value is in knowing which ad to generate. In understanding the audience deeply enough to write a brief that produces breakthrough work — whether a human or a machine executes it. In having the taste to distinguish between good and great, between functional and remarkable, between content that fills a feed and content that changes a conversation.
Third, lean into the things AI can’t do. Be weird. Be human. Be specific. Be culturally embedded. Make work that requires understanding of irony, nuance, subtext, and the messy, irrational way humans actually think and feel. The more predictable and formulaic the work, the more vulnerable it is to automation. The more unpredictable and human, the more irreplaceable you become.
Fourth, use AI as a creative partner, not a threat. Let it handle the first draft while you handle the edit. Let it generate a hundred variations while you curate the three that matter. Let it do the heavy lifting on production while you focus on the concept that makes the production worth doing. The creatives who thrive in the AI era won’t be the ones who ignore it or the ones who surrender to it. They’ll be the ones who use it as a tool and bring what the tool cannot — judgment, empathy, and the courage to make something that’s never existed before.
And when the machine generates something that’s actually pretty good, don’t panic. Just put on your Fuck The Brief hoodie and remind yourself: the machine followed the brief perfectly. That’s exactly why it’s boring.
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