A new era of creativity: Insights from leaders in AI

You can have separate task forces focused on different areas, such as research, media, or creative. The important thing is to have centralized leadership to guide the implementation of AI throughout your organization.

Finally, task forces don’t need to be full time. If task force members remain in their “day jobs,” they can think about how AI applies to the things they work on every day. Virtual cross-functional teams, without formal reporting lines, can also facilitate a knowledge exchange across the company.

Large language models (LLMs) like Gemini are trained on the world’s information. This makes them useful for insights right out of the box. You can ask for insights or provide them from previous research and move on to strategy.

Ideate and create

From strategy, it’s on to ideation and creation of the Big Idea at the heart of your brand or campaign. Once again, LLMs like Gemini can accelerate the process, acting as a thought partner to allow creative teams to brainstorm, manifest, and test different ideas quickly. They can even be trained on your proprietary data to add knowledge of your brand to their broader knowledge of the world.

As Springboards.ai co-founder Pip Bingemann points out, this enables marketers outside of creative roles — strategists, for example — to create proofs of concept for their ideas earlier in the creative process, enhancing presentations and saving time.

Media.Monks co-founder Wesley ter Haar agrees. “We’re seeing that the right insight generation can almost directly drive into briefing and creative ideation.”

LLMs are not just used for text. They’re used for images and soon will be used for video. For example, Gemini was built from the ground up to work with text, images, and video, and its large context window leads to high-quality responses. In advertising terms, the latest LLMs combine disciplines, such as the classic copywriter and art director pairings pioneered by industry legends like Bill Bernbach.

It’s easy to see how the ability to quickly create, test, and iterate can help creative teams get to better, more effective ideas, faster. Imagine you’re an outdoor equipment company with an insight around the rewards of exploration. You can bring that to life in a moment.

Expand big ideas across creative assets

AI is also making production more efficient. Creative teams can now access tools that provide virtual photo shoots, saving time and resources, and product features like voice-over in video, which make it easy to adapt content to different platforms and audiences.

With these tools and products, teams have newfound agility to build creative that reflects viewers’ differing needs, desires, and contexts. They can tailor assets to reach every person consistently and compellingly, again and again, at scale. But resources that were once diverted from creative and media into production can now be restored.

While some tools use AI to produce campaign assets across platforms, Performance Max uses your brand guidelines, website content, and images to generate countless creative assets in real time. It constantly learns, optimizing your campaigns for maximum impact and reach across Google platforms.

Agencies can also build their own bespoke tools and methodologies to achieve specific goals, as VCCP did for British telecommunication company O2.

Where previous AI technologies aided in volume and velocity, the most advanced tools are capable of creative asset variety on an unprecedented scale. Reach is hardly as valuable as a combination of reach and relevance.

Whether you choose free off-the-shelf products or bespoke AI solutions, either route can help you grow your business, make you more efficient, and accelerate your organization’s use of AI. With these essentials in place, you can think about AI transformation in the context of your longer-term goals.

AI-powered experiences like these aren’t traditional marketing, but they deliver on marketing goals. AI-powered campaigns, on the other hand, are traditional marketing campaigns enhanced by AI. They invite the public to participate directly in creative ways.

Burger King’s Million Dollar Whopper Contest from ter Haar’s Media.Monks is another powerful example. It allowed Burger King’s audience to create their own Whopper, with ingredients of their choice, to share on their social channels. “It’s so seamless that people don’t quite get that it literally was impossible six months [earlier],” ter Haar said of the campaign.

Looking ahead

It’s exciting to imagine where this technology will take us next. No one can say for sure, but we’re confident that the advice of these creative and AI industry leaders will stand the test of time.

By creating dedicated task forces, using essential AI tools throughout the creative process, and building transformational AI experiences, these advertisers and agencies have mapped the journey from the start to the cutting edge, giving all of us an inspiring vision of the creative industry’s future.

Acknowledgments

Many thanks to the participants in this project, who graciously gave their time and insights. These people are AI leaders in the industry, and we’re delighted to share their wisdom. In alphabetical order, they are:

• Pip Bingemann, Co-founder, Springboards.ai
• Evan Boehm, Group Creative Director, Experience and AI, Buck
• Rajneesh Bolia, Head of Creative Technology, Ogilvy India
• Lex Bradshaw-Zanger, Chief Digital and Marketing Officer, South Asia Pacific, Middle East, and North Africa Region, L’Oréal Groupe
• Alex Dalman, Managing Partner, Head of Social and Innovation, VCCP and Faith
• Sabrina Godden, Global Creative Director, Vodafone
• Wesley ter Haar, Co-founder, Media.Monks
• Sorin Patilinet, Senior Director of Global Marketing Effectiveness, Mars
• PJ Pereira, Founder and Creative Chairman, Pereira O’Dell; Founder, Silverside AI
• Frédéric Raillard, Co-Founder and Chief Creative Officer, Fred & Farid; Founder and Head of Generative AI, [Ai]magination
• Tom Roach, VP of Strategy, Jellyfish

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