AI-generated brand films are moving from experiments to enterprise campaigns, and Native Foreign co-founder and chief creative officer Nik Kleverov argues the work succeeds when humans stay in control of the creative direction.
Kleverov has led AI-enabled projects for Toys"R"Us, Coca-Cola, Delta, and Virgin Voyages. On the Adspeak podcast by ADWEEK, he described how visual AI expands what brands can produce - from impossible environments to speculative futures - while the creative process remains editor-driven and legally documented.
AI as a creative partner, not a replacement
Kleverov's framework keeps humans involved throughout the production process. For the Toys"R"Us Jeffrey origin story and Delta's future-of-flight campaign, AI made ambitious narratives possible, but people set the direction. His team documents authorship, uses legal safeguards, and protects IP so brands can adopt AI without losing authenticity.
"AI should be treated as a creative accelerant rather than a replacement for human judgment," Kleverov said.
The editor-centric workflow is changing production
Traditional production separates pre-production, production, and post-production. Kleverov said AI collapses those phases into one iterative workflow where editors increasingly act as directors. Teams refine ideas continuously instead of committing everything to a single shoot.
He pointed to Virgin Voyages as an example of building malleable storytelling systems rather than isolated assets. That approach enables faster production, more creative flexibility, and consistency across multiple campaign formats.
Generalists may win the AI era
Kleverov argues AI shifts the advantage from narrow specialists toward adaptable generalists who combine expertise with rapid experimentation. He advocates for "T-shaped" talent: strong skill in one discipline, working knowledge across several others. Rather than abandoning existing expertise, creatives layer AI onto it.
For marketing leaders, that means rewarding adaptability, learning velocity, collaboration, and the ability to ship projects - over rigid roles and specialization. For creatives themselves, the shift suggests that broad skills paired with AI fluency will carry more weight than deep but narrow expertise alone.
Legal protection is key to enterprise AI adoption
Kleverov identified legal protection as one of the biggest barriers to enterprise AI adoption. His team documented human authorship throughout an AI-generated film to help establish copyright protection and create a defensible creative process. The agency also uses walled-garden systems, client data isolation, and indemnity guarantees.
For brands, the lesson is direct: AI adoption requires rigorous documentation, strong contractual protections, and clean ownership frameworks alongside creative experimentation.
Knowing when AI should not be used
Kleverov said AI should never be used simply because it is new or impressive. His guiding principle: the creative itself must call for the technology. AI makes sense when it enables impossible environments, speculative futures, unusual scale, or stories traditional production cannot deliver efficiently. For simpler narratives, conventional production may be better. The discipline is knowing when AI genuinely improves the story rather than adding unnecessary complexity or cost.
Tackling bias in AI-generated storytelling
Early AI systems reproduced serious flaws, including altering gender assumptions. Kleverov argued that both technology providers and creative teams must actively address these issues. His team stress-tests tools across different demographics before using them in campaigns and pushes vendors to improve their models. For brands, diversity checks should become a standard part of quality assurance, ensuring technology expands representation rather than automating historical exclusion at scale.
Why this matters for creatives
For creative professionals, the practical takeaway is to develop an editor-centric workflow that treats AI as an iterative tool, not a one-click generator. Document your authorship process, stress-test tools for bias, and only reach for AI when the story demands it. The professionals who combine a strong creative point of view with AI fluency - and the legal awareness to protect their work - will be the ones brands trust with enterprise-scale projects. Resources like AI for Creatives and Generative Video offer practical grounding for building those skills.
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