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.
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.
As early as 2014, NVIDIA CEO Jensen Huang expressed in a keynote speech that the company was repositioning itself to power an AI-driven future. In 2016, Sundar Pichai wrote in his first shareholder letter as Google CEO that the company was moving “from a mobile-first to an AI-first world.”
Today, the term “AI-first” is everywhere, but true AI-first companies remain relatively rare. This article takes a closer look at the leading AI-first companies today and the patterns they share.
A single ad campaign today may need to run across 30+ placements at once, from Instagram and TikTok to display, YouTube and connected TV. Each format has different specs, contexts and pacing, before even accounting for markets, languages and audience segments.
This level of complexity is difficult to scale manually.
Why do even the most talented product design teams fail at some point? It’s rarely about talent, and almost always about capacity and structure.
When teams slip into reactive mode under pressure, they tend to firefight rather than build durable systems. Over time, inconsistencies creep in, patterns go off track and the product starts to behave differently across platforms, users and features.
Your creative backlog isn’t shrinking. If anything, it’s grown. New channels, more formats, faster campaign cycles, tighter deadlines and a headcount that hasn’t budged in the last two years.
If creative demand is stretching both you and your in-house team to breaking point, you’re not alone. According to our “Breakpoint” report, 86% of marketing and creative teams are at or over capacity, and 7 in 10 creative leaders report their teams are experiencing burnout. Meanwhile, executives, primed by the promise of AI, keep asking for better work, faster.
Today, marketing and creative teams are increasingly using AI agents to gain a competitive advantage.
These agents, which can operate independently, can make decisions, surface valuable insights and complete complex tasks in creative workflows without step-by-step prompting, promise unprecedented speed, scale and efficiency. The AI agents market is projected to grow to $50.31 billion by 2030 and that 79% of executives report broad adoption.
