The AI race isn't about who has the best tools. It's about who has the best judgment. Insights from creative leaders at Rakuten, Zoom, Booking.com, Snapchat and Leonardo.ai reveal why taste, craft and strong systems matter more than ever.
AI is moving fast. New tools are launching every week, workflows are changing overnight and creating content has never been easier.
But if there was one thing creative leaders agreed on at Shift: The Creative AI Summit, it's that the conversation has moved beyond the tools themselves.
The real challenge isn't learning how to use AI. It's learning how to maintain quality, develop talent, build better systems and create work that stands out in a world where anyone can generate content.
Here are five insights that emerged from conversations with leaders from Rakuten, Zoom, Leonardo.ai, Booking.com, Snapchat and Superside.
1. Craft matters more than ever
As AI makes it easier to generate content, many creative teams are grappling with the same question: what happens to craft when anyone can create?
The differentiator is no longer access to production, it's the ability to recognize what deserves to be made in the first place.
Superside Executive Creative Director, Alyssa Boisson explored this idea through a series of metaphors about adaptation, craftsmanship and creative instinct. From basket makers who intentionally wove imperfections into their work to spiders that adapted their webs in space, her message was that while the tools around us may change, the foundations of great creative work remain remarkably consistent.
We are not leaning towards perfection, but we're leaning towards reality. We're leaning towards humility. We're leaning towards humanity. We're leaning towards craft.
For Boisson, success in the age of AI isn't about abandoning what made great creative work great. It's about adapting those skills to a new reality.
The future won't be built by teams who generate more. It will be built by teams who notice more.
2. Building teams that can adapt and scale
The organizations seeing the most success with AI aren't necessarily the ones adopting the most tools. They're the ones creating environments where people can learn, experiment and evolve.
For creative leaders, AI adoption is proving to be as much a people challenge as a technology challenge.
At Rakuten, VP Executive Creative Director, Kristin Graham, embedded AI learning directly into the team's workflow, partnering with Superside to upskill creatives while preparing for one of the company's busiest seasons.
We weren't just teaching people how to use tools. That is a huge part of it, of course, but I think you're really building confidence when you invest in your team.
One of the biggest lessons from Rakuten's journey was the importance of defining quality early. As the team incorporated AI-generated assets into major campaigns, they established clear standards.
We realized really quickly that we had to define what excellence was.
The result wasn't simply a team that learned new tools. It was a team better equipped to adapt, collaborate and scale creative output without compromising quality.
3. Taste is becoming the ultimate competitive advantage
If AI is making it easier for anyone to create content, what separates good work from great work?
According to creative leaders from Zoom, Leonardo.ai and Booking.com, the answer isn't access to better tools. It's judgment.
As AI raises the baseline quality of content, creative teams are being challenged to think more critically about what makes work effective, relevant and memorable. Taste isn't just about aesthetics.
For Dan Schunk, Head of Creative at Zoom and Jeff Johns, Senior Creative Producer at Booking.com companies still need to evaluate whether work serves the audience, aligns with the brand and solves the problem it was created to address.
At the end of the day, you can create anything you want, but that doesn't necessarily mean that it's going to be balanced appropriately.
It's not necessarily just about the quality of the work. It's about the relevance.
In a world where high-quality content is becoming easier to generate, relevance becomes the real differentiator. Taste isn't becoming less important, it's becoming more valuable.
We always get so caught up in these tools. Just look at styling, look at what's new, look at old trends in the sixties. Anchor yourself in taste again before you get into the world itself.
In a world where anyone can generate content, the real advantage comes from knowing what deserves to be made, and why.
4. Systems create speed
One of the biggest misconceptions about AI is that better outputs come from better prompts.
The reality is often much less glamorous.
The teams getting the most value from AI aren't necessarily using more tools. These teams are building stronger systems around how they work.
Superside's Bianca Pieterse and Rafael Costa demonstrated how brand knowledge, creative standards, documentation and automation can work together to create faster and more consistent outputs.
So this is when your tools and your files and your instructions are all set up to work really nicely together so that you spend less time managing and searching and panicking and more time making that very urgent brief.
The lesson was clear: AI scales whatever system already exists. Strong systems create better outcomes. Weak systems simply create chaos faster.
This isn't magic. These are systems. There's taste in the middle. There's judgment. Those things, they're still very much human.
5. The future belongs to creative thinkers
As new AI tools emerge at an increasingly rapid pace, many creative professionals are asking the same question: how do you keep up?
I'm more interested in workflows rather than in tools.
Valentina Culatti, Global Director of Creative Strategy at Snapchat, offered a different perspective. Rather than focusing on tools, she encouraged teams to focus on workflows, problems and points of view.
If you are not thinking about adopting a tool, but you're thinking about developing a real intelligence, the starting point is like, what is it that I'm trying to solve?
For Culatti, the most valuable skill isn't mastering every new platform. It's understanding the creative process well enough to identify where AI can genuinely add value.
You really need to know yourself and understand how you have developed that point of view, what has influenced you that makes it unique.
AI lowers barriers to creation, it will ultimately reward creatives with stronger perspectives, better judgment and more distinctive points of view.
When you have a level of expertise and also you have something to say with a very strong point of view, you will certainly be differentiating yourself. And so the gap from the good creators between those who are, you know, average, I think is going to widen.
The underlying thread: AI is raising the bar, not replacing the craft
AI isn't changing the need for creativity. AI is changing where creativity creates value.
The leaders speaking at Shift weren't focused on replacing creative thinking. They were focused on strengthening it through better systems, stronger teams, clearer standards and sharper judgment.
As AI continues to make creation faster and more accessible, the differentiators become harder to automate: taste, curiosity, perspective and the ability to recognize what resonates.
Or, as Boisson put it:
"The future won't be built by teams who generate more. It will be built by teams who notice more."
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