AI In Content and Design: Breakthrough or Breakdown?

We’re all in a frenzy. AI here, AI there, AI everywhere!

You’re watching with unease as everything looks polished, every typeface is considered, every layout is balanced, and most of it is produced in under a minute.

But hey! You also notice with glee that AI-image tools can add six fingers to someone’s hand or twist it uncomfortably and get away with it.

Humans are stuck somewhere between awe and unease at what AI is doing to design and content.

I am more discerning. To me, AI-generated content always feels off.

And I loathe most AI-generated images, especially the pubescent depictions of seductive elf, anime, cyborg, cyberpunk or robot women in infantilized dream sequences taken straight from video games.

Candy colors pop, huge eyes bulge, surfaces shine, waspish waists and balloon-like breasts tease.

AI-generated images lack the soul of a hand-drawn sketch. They seem unfinished and sloppy, and they make me cringe. These images are, at best, tacky decorations, and sadly, we are starting to get used to them.

Writers and designers better figure out what all this computer-generated stuff means for their professional lives, which revolve around our original creativity. We may lose our data, privacy, quality standards and copyrights, but also our cognitive creative skills.

Let’s begin with design

A survey of nearly 400 designers conducted by Designer Fund and Foundation Capital found that almost 90% reported AI had improved their processes over the past year, especially during ideation and prototyping.

Teams skip static mockups and use AI to generate functional prototypes directly, then iterate on them based on live feedback. Faster but more chaotic.

AI is great at generating a range of options; the difficulty comes when you want to pursue something specific and make it real. That’s where the tools start to fall short, and human judgment is needed.

Stanford d.school educator Glenn Fajardo puts the problem plainly: His concern is with what he calls the “easy button”, the temptation to skip the discomfort of creative struggle in favor of fast, convincing output. Creativity, he argues, requires agency.

How about writing?

“Beyond mass-producing stilted emails and stilted social media posts and stilted essays, the impact of LLMs on writing itself has not really been to improve or accelerate good writing overall”, writes the neuroscientist Eric Hoel on Substack. “We are not in a glut of good writing. We are in a dearth of it. LLMs are views from nowhere.”

Indeed.

Marketer Ann Handley believes that “when we hand the first draft to AI and jump straight into fixing-it/editor mode, our intrinsic motivation drops. Not our output, but our delight in making the thing. The robots are very good at helping us produce things and not nearly as good at helping us care about them.”

female robot art — Saudi Arabia’s first female humanoid robot, “Sara”. Really.

But AI has helped writers with ideation, brainstorming and curation. They build AI agents and customized GPTs (“projects” in Claude) to capture the author’s voice, tone and cadence.

That’s not good enough, though. Human writers take it from there, build on the output and shape personal prose that actually matters, is original and fresh.

Many writers are now producing their best work by adding their unique perspectives to AI outputs, drawing on their experience and ability to think and feel.

I feel AI motivates me to dig deeper and be more conscientious in my writing. I am not taking shortcuts. AI speeds up a craft I understand deeply. And I am glad I never had to skip the learning process.

Writers at the beginning of their career will have to make a methodical choice between taking shortcuts and developing their skills without lowering the bar.

How about content design?

For Jody Allard, head of content design at Thumbtack, AI is not just reshaping the interfaces; it’s redefining the nature of the work itself.

Allard describes an emerging practice she calls content engineering, a systems-level discipline for designing, structuring and governing AI-generated content experiences. That means designing prompts that strategically guide AI.

In both design and content, the professionals who are finding their footing are the ones who push further and take charge. They’re shaping the systems, defining the constraints, making the strategic judgment calls that AI cannot. Not because it lacks the technical capacity but because it lacks any stakes.

How about content localization?

Designers and content creators have embraced their roles as humans-in-the-loop. We draw ethical lines and target our work to a specific audience, cultural moment or location.

We’re needed because AI-generated design and content are usually generic and draw on a broad training set, which tends to flatten the cultural specificity that makes us who we are, wherever we are.

Using AI-generated assets with global reach means adjusting not just language but also visual metaphors, color associations, layout logic, tone and voice, which requires cross-cultural judgment that AI lacks.

After defining your target audience, tools like Nano Banana can adapt existing images by adjusting the environment, people’s clothing, their gender, ethnicity, objects, surroundings or mood.

Follow up with an in-depth human review by someone who understands your target culture. They become your expert cultural antenna and empathy check.

Breakdown scenarios are real if AI is treated as a decider.

Organizations that automate the wrong parts of the design and writing processes and then wonder why the output disappoints will fail.

So will junior professionals, who never develop the critical faculties that slow, deliberate creative work builds, because they outsource their thinking too readily.

Using AI as a shortcut bypasses the discomfort that true creativity triggers, and human emotions are a part of that process. If emotion and discomfort are missing, you haven’t incorporated AI successfully in your work.

Breakthrough scenarios are real if AI is treated as an aide.

On the other hand, designers and content professionals who use AI to expand the scope of what they can explore, who treat generated output as raw material rather than finished work, and who bring to that material the irreplaceable human capacity for judgment, cultural nuance and accountability, will succeed.

AI will boost their design, content and localization skills because it amplifies outputs, but only when applied by someone who knows what good design looks like and what great writing can make others feel. By someone who has already failed many times, stumbled and tried again.

Ask yourself, as a writer, designer or localization expert:

Am I using AI to speed up a craft I understand deeply, or to skip the learning process?
Am I a creator or an imitator?
Am I bringing intellectual value to my industry, or am I flooding it with fluff?

“We may look back on writing [or designing] of the early 2020s the way we now look at 1900s-era hand-drawn maps or handmade clothing: reminders of a period when you could look at something and know a person made it”, writes Jeremy Kaplan, author of the newsletter Wonder Tools. “Our imperfect things often have more appeal precisely because they’re made with human hands.”

AI changes the way you approach design, localization and content. Your role as a creator is to provide cultural fluency, accountability and the memory of failures and successes.

You use AI to expand your creativity, not to outsource your thinking. Truly creative designers and content professionals use AI as a starting point—as a lightly prepared, unfinished canvas or a first-draft scribble—and then have their final say.