AI vs Designers in 2026 — A Conversation with Margot Ellery

In Conversation · Design Tools

“The designer didn’t disappear. The designer got asked to be six people.”

Margot Ellery on what twelve years inside UK magazine publishing taught her about how AI has actually changed the design profession — the freelancers being squeezed out, the small restaurants making their own logos, and why the tools that “democratised design” are now charging serious money to keep using.

Margot Ellery, Editor, Printable Menu Lab
Margot Ellery, Editor, Printable Menu Lab. Photograph: house archive.

§ 01 · What actually happened

“AI didn’t replace the graphic designer. It replaced about thirty percent of what a designer used to bill for.”

Margot, there is a familiar story circulating among designers right now — that AI has replaced them overnight, that the profession is dying, that twenty-five years of experience now counts for nothing. How accurate is that picture?

Partially accurate. The dramatic version of the story circulates because it feels true to anyone who has been freelancing in the last eighteen months. The honest version is more complicated. What AI has done is replace the lower-value end of design work — the quick logo, the social tile, the simple menu update, the email banner, the trade-show poster mockup — with something the client can produce in twenty minutes for the price of a cup of coffee. That work used to pay a freelancer five hundred to fifteen hundred pounds a month if you stacked enough small clients. It doesn’t any more. That is the part of the story that is true.

And the part that is more complicated?

The higher-value end of design work has actually become more, not less, valuable. Brand identity that needs to be coherent across thirty touchpoints, editorial systems that have to hold together across years, print production for fine printing on unusual stocks, packaging that needs to survive being scanned at a till and photographed for Instagram — that work is the same work as it was five years ago, and it pays well. What has happened is that the middle has hollowed out. The bottom is now AI plus the client themselves. The top is still designers. There is no middle.

For a designer who has spent their career in that middle, what does this actually look like in 2026?

It looks like one of three things. They either retrained towards the top — got serious about brand strategy, art direction, complex production — or they retrained sideways into roles where design is one skill among several, like marketing manager or content lead. Or they left the profession. I know a fair number of people who took all three paths. The ones who took the third path are the ones writing the catastrophe pieces on LinkedIn. The other two are doing fine, or at least no worse than they were doing in 2021.

§ 02 · The expanding job description

“The job advert used to say ‘graphic designer.’ Now it asks for nine people.”

There’s a recurring complaint I see online — that small companies expect a graphic designer to also be a UI/UX designer, a video editor, an animator, a front-end developer, a copywriter, and a social media manager. Is this real or just venting?

It is entirely real. I have seen job postings in the last six months asking for proficiency in Adobe Creative Suite, Figma, After Effects, Premiere Pro, Canva, HTML and CSS, a working knowledge of WordPress, basic copywriting skills, social media management experience, and the ability to operate a TikTok strategy. The salary band is sometimes thirty thousand pounds. That is one person being asked to do the work that used to be done by five specialists, for the wage of a junior copywriter. It is not a sustainable expectation, but it is the expectation that employers have set.

Where did this come from?

Three things compounded. First, the tools genuinely got better. Figma made UI design accessible to print designers; Premiere Pro became smooth enough to be picked up alongside other Adobe products; Canva absorbed enough animation features that motion graphics felt less like a specialism. So employers reasoned that one well-rounded person should be able to handle it all. Second, budgets were tight, especially for small businesses and creative agencies through 2022 and 2023. Hiring five specialists was no longer feasible for most teams. So they hired one generalist and asked them to do the work of five. And third — the part nobody talks about openly — designers themselves contributed to the dynamic by accepting it. The market punished the ones who said no. The ones who said yes kept their jobs. And so the new normal got set.

And now AI sits on top of all of that.

Now AI sits on top of all of that. Which has two effects, both of them complicated. The first is that AI absorbs some of the work the generalist designer was already drowning in — quick social tiles, video subtitles, image upscaling, background removal, simple animation, draft copy. That should be good news for the designer. The second effect is that employers see this and assume the designer can therefore do even more, because they now have AI helping them. So the job description expands again. The designer who used to do five jobs is now doing seven, with AI doing the work of perhaps two of those seven invisibly in the background. The total workload, measured in things the designer is held accountable for, has gone up.

Figure 1 · What “graphic designer” has come to mean

The skill stack of one designer, over thirty years.

CIRCA 1995 Print era QuarkXPress Photoshop Illustrator 3 core tools One specialism: print CIRCA 2010 Digital era InDesign Photoshop Illustrator Dreamweaver / HTML iMovie / Premiere PowerPoint / Keynote 6+ tools Print + web + basic video 2026 Generalist era Figma + Adobe Suite Canva, Adobe Express After Effects, Premiere HTML / CSS / WordPress Midjourney, GPT-image-2 Copywriting + prompt eng. Social media strategy Video editing + animation SEO + email marketing 9+ skill areas Six jobs in one role Same job title. Triple the expected expertise. Roughly the same salary band.

§ 03 · The logo and the menu

“The freelance logo at three hundred pounds is the work most directly replaced. And it’s the work that used to fund freelance careers.”

For the readers of this publication specifically — small business owners who design their own menus, certificates, invitations — what does the AI shift actually look like in practice?

It looks like the small café owner I’ve mentioned before, who designed her own menus on Canva on a Sunday afternoon. She had access to AI-generated background images for the headers, AI-generated icons for the menu categories, and AI-generated colour-palette suggestions that matched her interior. None of that existed in usable form in 2020. All of it existed by 2024. By 2026, it’s built into Canva natively. She made a menu that would have cost her four hundred to seven hundred pounds at a small design studio five years ago, for the cost of her Canva Pro subscription. The work was good. The freelance designer who used to do that work for her, however, has lost that client and another twenty like her.

And logos specifically?

Logos are the most directly affected. A small business that needed a logo in 2020 had three paths. Pay a designer eight hundred to three thousand pounds for a proper identity. Use a marketplace like 99designs and crowdsource it for three hundred. Or use a logo-builder tool and produce something acceptable for fifty. In 2026, the fourth path has effectively eaten the second and third paths and is starting to eat the bottom of the first. AI generates a logo concept in thirty seconds. Tools like LogoAI, Looka, Brandmark, and increasingly Canva’s own brand kit feature, will iterate on it until the small business owner has something they’re satisfied with. The total cost is the monthly subscription. The freelance market for small-business logos has, frankly, collapsed in the last eighteen months.

Are the AI logos any good?

This is the question that designers and clients answer differently. Designers will tell you, accurately, that AI logos lack typographic discipline, that the symbol marks are generic, that the colour systems don’t scale across applications, and that an AI logo will look dated within eighteen months. All of that is true. Clients will tell you, also accurately, that their AI logo looks fine on the menu, on the business card, on the Instagram bio, and on the awning. And that they spent twenty pounds on it rather than eighteen hundred. The market is making its preference clear, and the market is not in the designer’s favour.

Table I — What a small business pays now versus what they used to pay
Design deliverableFreelance (2020)AI route (2026)Quality gap
Small restaurant menu£400–£800£15/month subscriptionSmall for casual use
Logo for a single-location café£800–£2,500£20–£60 one-offMedium — scales poorly
Wedding invitation suite£500–£1,500£12–£30 template + AI imageryNegligible if customised well
Small-business brand kit£1,500–£5,000£30–£200 one-offLarge — AI lacks coherence across applications
Print certificate, party flyer£100–£400Template + AI image, under £10None for one-off use
Editorial layout (magazine)£3,000+Not yet replaceableSubstantial — AI fails on multi-page systems
Packaging design£2,000+Not yet replaceable for retailSubstantial — print production constraints

Figures reflect UK small-business design market rates. “Quality gap” reflects average outputs; high-skill use of AI tools can narrow the gap, while low-skill use widens it.

The tools that “democratised” design have started charging serious money. The freelance designers who survived the first wave are now spending a meaningful share of their margin on the AI subscriptions they had been told would liberate them.

Margot Ellery

§ 04 · The cost backside

“A designer running ten client projects on GPT-image-2 at retail rates is now spending three hundred pounds a month on what used to be free Photoshop time.”

There’s a part of this story that isn’t often told — the cost of the AI tools themselves. Walk us through what that looks like for a working freelance designer in 2026.

It’s a real and growing expense, and it gets very little attention compared to the “AI is free” narrative. A freelance designer running ten to fifteen small client projects per month, generating perhaps fifty images per project across drafts and final outputs, is now spending somewhere between one hundred and four hundred pounds a month on AI image generation alone — before the cost of Midjourney, of Canva Pro, of Adobe Creative Cloud, of any video tool, or of any subscription stack. The cost is variable. It depends on which model they’re using, how often they iterate, and whether they generate at high resolution. But it adds up faster than people expect.

What are the main models people are running?

Midjourney for general illustration and stylised imagery; DALL-E and its successor models for things that need to be more literal; Stable Diffusion for designers who want local control; and increasingly OpenAI’s GPT-image-2 for designers working inside ChatGPT or via the API, especially for product mockups and lifestyle imagery. The pricing varies considerably. GPT-image-2 at the retail API rate is, for example, ten cents per high-quality image. That sounds nothing. Multiplied by five hundred generations a month, it’s fifty pounds in raw inference. Multiplied by an agency-scale workflow with three thousand generations a month, it’s three hundred pounds. That money used to be entirely in the designer’s margin.

And there’s a response to this happening on the procurement side?

There is, and it’s the part of the conversation that working designers actually talk about — not whether AI will replace them, but how to keep their margin intact now that AI consumes a meaningful chunk of it. Most freelance designers I know are spending a bit of time figuring out how to buy cheap gpt-image-2 credits and Midjourney credits in bulk, rather than paying the retail subscription rate. The marketplaces that have emerged in the last twelve months aggregate enterprise-bought credits and resell them to small users at margins of fifteen to forty percent below list price. For a working designer that’s the difference between making a 20 percent margin on a client project and a 28 percent margin. Multiplied across a year of project work, it’s the difference between a frustrating year and a viable one.

Is this becoming standard practice?

Among the designers paying attention, yes. Among the designers still on the fence about whether to engage with AI at all, no. The first group is treating their AI costs the way agencies have always treated their software stack — as a recurring expense that needs to be procured intelligently. The second group is still paying retail rates because they haven’t had a serious conversation with themselves about what the tools actually cost. The gap between those two groups, measured in annual margin, is now somewhere between five and ten thousand pounds. It’s the difference between feeling like you’re running a business and feeling like you’re working for the tool providers.

§ 05 · Who wins, who loses

“The interesting thing is not that AI killed graphic design. It’s that AI redistributed who gets to do it.”

If we zoom out from the individual freelance experience and look at the profession as a whole, who has gained from this shift?

Three groups, broadly. First, small business owners and the self-employed who previously couldn’t afford a designer at all. Their access to acceptable design has expanded dramatically. The local hairdresser who couldn’t justify a four-hundred-pound logo can now have one for nothing. The community theatre that used to print posters from a Word template now produces something genuinely attractive. The neighbourhood coffee shop, the wedding photographer’s own marketing, the small accountancy practice — all of them now look better than they did in 2018, and at no incremental cost. That’s a real welfare gain, even if it comes at the cost of someone else’s livelihood.

Second group?

Senior designers who specialised hard. Brand strategists, art directors at established agencies, designers running their own studios with reputation and clientele built over fifteen or twenty years. These people are doing well. Their work is now harder to commodify, more clearly differentiated from the AI alternative, and more valuable than ever to clients who care about brand-level outcomes rather than asset-level outputs. The number of these designers is small relative to the profession, but their hourly rates are up, their backlog is full, and their work is more interesting than it was five years ago.

And the third?

The designers who pivoted into adjacent roles. Marketing managers, content leads, product managers at small software companies, in-house creative directors. These are roles where design is one of several core skills, and they reward generalists with strong visual judgement. Many of the displaced freelancers landed here, and most of them are reporting that they’re happier than they were as freelancers — more stable income, less feast-or-famine billing, more interesting cross-functional work. It’s a real path that doesn’t get enough credit in the “designers are dying” narrative.

Who has lost?

The middle. Specifically: mid-career freelance generalists working in the small-business segment. Ages roughly thirty-five to fifty-five, ten to twenty years of experience, billing the bulk of their work at three to fifteen hundred pounds per project. Their work has been most directly replaced. Their costs have gone up because of the AI subscriptions. They are too senior to compete with junior generalists on price and not specialised enough to compete with senior designers on craft. That group is genuinely struggling. The story of design in 2026 is mostly about what’s happening to that group, and the broader narrative gets it mostly wrong by attributing the cause to AI alone rather than to a market structure that was already shifting against them.

§ 06 · What to do with all this

“Stop fighting the tools. Start procuring them properly.”

If a small business owner is reading this and trying to design their own menu or invitation, what should they take away?

That you have access to better tools than any small business has ever had, and that the tools are improving faster than you can read about them. Use them. The cafe owner with the menu was right. The wedding planner customising her own template was right. The school deputy head designing certificates on a sixty-pound budget is right. You don’t need to feel guilty about not hiring a designer for work that AI can handle adequately. You do need to be honest about when the work has outgrown the tools — brand identity that has to last a decade, packaging that has to survive at retail, anything print-production complex — and at that point hire a designer worth their fee.

And to working designers?

Two things. Procurement and positioning. On procurement: stop paying retail for your AI credits. If you are running a freelance practice and not buying through a marketplace, you are leaving fifteen to forty percent of your AI margin on the table for no reason. On positioning: identify what part of your work AI is actually replacing, and stop selling that part. Pivot upward into the work that genuinely requires you. The designers I know who are thriving in 2026 are doing brand strategy, complex production, art direction, and editorial systems — not the work AI can now produce in thirty seconds. That pivot is uncomfortable but it’s also the only one that’s working.

Last question. Will AI replace designers entirely in ten years?

No. AI will continue to absorb the lower end of the work, and there will be displaced freelancers throughout, which is genuinely sad. But the highest-value design work — the work that requires sustained taste, real judgement about culture and audience, and the ability to hold complex systems coherent over years — will still be done by humans, and the humans doing it will be paid more, not less. The profession will be smaller, more specialised, and harder to enter, but it will exist. The same way watchmaking still exists. The same way bespoke tailoring still exists. The same way fine printers still exist. The work moves up the value chain. It doesn’t disappear.

Margot, thank you.

Thank you. Write in with your own experiences — I read everything, and the stories from working designers are the most useful primary source we have on what this transition actually looks like from the inside.

Reader questions

Eighteen questions about AI and design in 2026.

Has AI really replaced graphic designers?

It has replaced roughly the lower-value third of what designers used to bill for — simple logos, quick social tiles, menu updates, basic flyers, AI-replaceable illustrations. Higher-value work like brand identity, editorial systems, and complex print production has not been replaced and in many cases has become more valuable.

Should small businesses still hire graphic designers?

For one-off menus, simple flyers, and quick social content — AI tools and templates are usually adequate. For brand identity that needs to last, packaging for retail, anything print-production complex, or projects that span multiple touchpoints, a designer is still the right choice.

How much does AI image generation cost in 2026?

It varies by model and provider. Retail rates for high-quality generation are roughly $0.05 to $0.15 per image. For a freelance designer running ten to fifteen client projects per month, this typically lands at £100 to £400 per month in raw inference, before subscription costs.

What is GPT-image-2 and how does it compare to Midjourney?

GPT-image-2 is OpenAI’s image generation model accessible via the ChatGPT interface and API. It excels at literal interpretations, product mockups, and lifestyle imagery. Midjourney remains stronger for stylised illustration and aesthetic-driven work. Many designers use both for different parts of the workflow.

How can I reduce my AI subscription costs as a designer?

Three things. Use credit marketplaces rather than paying retail for API access — savings of 15 to 40 percent are typical. Route between models based on per-task economics. And use the cheapest model that meets the quality threshold for each individual task rather than defaulting to the most capable model for everything.

Are AI credit marketplaces legitimate?

Yes — established marketplaces aggregate enterprise-purchased credits and resell them at meaningful discounts. The discount comes from the arbitrage between bulk enterprise pricing and retail rates, not from any quality difference. Buyers get the same API access and SLAs as direct customers.

Will AI logos look professional?

For one location, one use case, and a short time horizon — yes, they look fine. For brand identity that needs to work across business cards, packaging, signage, digital, and print over five years, AI logos typically lack the typographic discipline and systematic coherence required. The gap shows up over time, not in the initial output.

Has AI made it easier to design my own menus?

Considerably. AI-generated background images, icons, and colour-palette suggestions are now built into Canva, Adobe Express, and similar platforms natively. A small café or restaurant can produce a respectable menu in an afternoon, where five years ago that required either a designer or significantly more skill.

Do designers in 2026 need to learn AI tools to stay employed?

For most working designers, yes. AI literacy is now expected at all levels of the profession, particularly for in-house and agency roles. Designers who refuse to engage with AI tooling are finding fewer opportunities and slower career progression than those who have integrated the tools into their workflow.

Is the “prompt engineer” role real?

As a standalone job title, mostly no — most prompt engineering work has been absorbed into existing roles. As a skill within design and content jobs, very much yes. Designers in 2026 are expected to know how to instruct AI tools efficiently, which involves the same kind of craft expertise as any other design skill.

What design work is least likely to be replaced by AI?

Brand strategy, art direction, editorial systems, complex packaging, anything print-production specialised, fine typography, and design work requiring sustained taste and judgement about culture and audience. The pattern is that work requiring coherence over time and across many applications resists AI replacement.

Should designers worry about being too senior?

Ageism in design is real and predates AI. The displaced mid-career freelancers reporting it have legitimate grievances. The protection against it is specialisation — senior designers with deep expertise in brand, art direction, or complex production are doing well; senior generalists are not.

How can a small business owner choose between AI and a designer?

Apply this test — will this design need to scale across many applications and survive for five years? If yes, hire a designer. If no, AI tools and templates are usually adequate. One-off menus, social tiles, simple flyers: use AI. Brand identity, packaging, multi-touchpoint systems: hire.

What’s the difference between Canva’s AI and dedicated tools like Midjourney?

Canva’s built-in AI is convenient for in-platform work and is improving rapidly, but it doesn’t match Midjourney or GPT-image-2 for image quality or control. For serious image generation work, designers typically use dedicated tools and then import the outputs back into Canva, Figma, or Photoshop for layout.

Are AI design templates copyrightable?

The legal landscape is unsettled. AI-generated images may not be copyrightable in many jurisdictions, including under current US Copyright Office guidance. This matters for businesses commissioning custom design work and for designers protecting their outputs. Consult a lawyer if commercial use is involved.

Is there an ethical issue with using AI design tools?

There is ongoing debate about training data, copyright in the underlying corpus, and economic impact on working designers. Reasonable people disagree about where the ethical lines fall. The pragmatic position taken by most working designers is to use the tools while being aware of the trade-offs they represent.

What is the realistic future of the design profession?

Smaller, more specialised, and harder to enter at the entry level — but not extinct. The work moves up the value chain. Lower-end work is absorbed by AI and templates. Higher-end work becomes more valuable. The transition is hard on mid-career generalists and easier on senior specialists and adjacent-role pivoters.

If I’m a designer starting out today, what should I focus on?

Brand strategy, art direction, and complex production — work that AI can’t adequately replicate. Build a portfolio that demonstrates sustained taste and judgement, not just execution. Learn AI tooling as a force multiplier rather than a competitor. Avoid the generalist trap that’s squeezing mid-career designers, by specialising early and deeply.

Underlaget for this article includes Margot’s observations from twelve years inside UK magazine publishing, ongoing conversations with working freelance designers, observed pricing data from OpenAI’s GPT-image-2, Midjourney, and adjacent platforms as of Q2 2026, and discussions in the design community around AI tooling economics. Names of designers cited generically are composites and do not refer to specific individuals. Printable Menu Lab is editorially independent. No content on this site is sponsored.

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