Emanuel is a Content Specialist at Superside. With the knowledge that three languages (and counting) and digital marketing can serve a creator, he has helped B2Bs from multiple industries to write, optimize and scale their content game with compelling pieces that answer questions and solve problems. On Superside, Emanuel transforms ideas into powerful articles that guide you on how to use Superside's multi-powered AI services to scale your business to the max.
Design used to be the pretty bow added at the end of a product project. Over the last few years, that has changed.
Digital products are now one of the main ways companies deliver value, and the quality of the experience directly influences adoption, retention and revenue. A confusing signup flow or messy dashboard doesn't just annoy users. It quickly eats into profits.
In consumer packaged goods, branding is often treated as a packaging exercise. Yet packaging is only the jacket a product wears, its most visible expression rather than the full story.
As private-label ranges expand and shoppers encounter brands across shelves and screens, an attractive pack alone is unlikely to create lasting preference. The brands that stand out in 2026 build trust, loyalty and scale with coherent brand systems that express the same distinctive character at every touchpoint.
A solid design agency or creative partner can change how much your team gets done, how consistently your brand shows up in the world and how quickly your campaigns reach the market.
Many agency evaluation checklists stop at portfolio, price, design processes and timelines. Those elements matter, but today's enterprise marketing teams also need to understand how a potential design partner uses AI, protects data, maintains brand consistency and responds when creative demand spikes.
Imagine telling a designer, "create a great ad" without any context. No notes on the target audience, product or brand standards. If the result misses the mark, you wouldn't blame the designer, would you? You'd blame the brief.
Yet that's exactly how many enterprise marketing teams use AI. Someone opens a tool, types "create an ad for our new product," and gets a disappointing result. They tweak the prompt, try again and get more of the same. The verdict: AI is overhyped.
Every enterprise creative team is running the same math right now, and it doesn't work. Content demand has at least doubled in two years, and Superside's Breakpoint report found 86% of in-house teams already at or beyond capacity, with 70% of creative leaders reporting burnout.
For twenty years, stock photography was the release valve. Need a hero image by Thursday? License one. Need forty variants for a paid social test? License forty. It was never great, but available beat perfect when the deadline was tomorrow.
Most enterprise creative and marketing leaders have lived this sequence. The company grows, campaign volume climbs and media spend increases. The business wants more, more, more.
At first it feels like momentum, and the team rises to the challenge. Then bottlenecks pile up, quality and consistency start to slip, and nobody is quite sure how to fix it.
You land a customer story with real emotional weight and compelling proof. Then it becomes a single video, post or testimonial page that disappears from the homepage or your social feed a few days later.
If this sounds familiar, you're in good company. Many marketing teams still treat customer stories as one-off deliverables rather than the valuable, reusable assets they are. The story is strong, but the team simply doesn't "sweat" the asset and create lasting value.
Everyone has seen the bad version of AI design. The slightly off visuals that look like they're from a 1990s stock library, and the "technically fine, totally forgettable" ad creative that's about as memorable as your privacy policy.
It's no wonder many marketing and creative leaders are skeptical that AI can produce standout, on-brand creative at the speed it promises.
An AI-powered design platform combines generative AI, design tools and workflow automation to help marketing teams produce more consistent assets faster. Over the past few years, the category has moved quickly as product teams reimagined how to build AI into existing design software.
Adobe rebuilt Creative Cloud around Adobe Firefly. Canva expanded Magic Studio into an AI-powered creative suite. Figma AI introduced design-system intelligence, smart layout organization and AI-assisted workflows for product and interface teams.
