Observed Signal · Aug 4, 2026 · Industry Commentary · Source: The Drum · Impact: 2/5 · Sentiment: Positive
Build a Publishing House, Not a Content Factory
David Billings (Empathy Lab by EPAM) and Roland Butler (Zalando) argue that as generative AI scales, brands must move beyond mass-producing assets and instead build connected content systems that combine briefs, governance, measurement, audience insight and creative judgment. Zalando reports roughly 90% of its onsite marketing content is created with AI, enabling rapid responses to trends — its Met Gala activation launched one day after the event and produced notable uplifts in wishlist additions and brand followers. The discussion frames AI as an augmenting force that gives creatives "superpowers," and urges marketers to refocus success metrics on responsiveness, engagement and business outcomes as systems learn and improve over time.
Thought leadership on using generative AI to reshape content operations is relevant to marketers and creative teams but does not announce major platform policy or industry-wide technical change.
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Key Takeaways & Evidence Grounding
- David Billings is chief strategy officer at Empathy Lab by EPAM.
- Roland Butler is head of product at Zalando.
- Zalando states around 90% of its onsite marketing content is created with AI.
- Zalando's Met Gala activation went live one day after the event and drove a 74% uplift in add-to-wishlist and a 120% uplift in brand followership.
- Billings recommends building connected content systems that integrate briefs, governance, measurement, audience insight and creative judgment rather than focusing solely on production scale.
Connected Companies & Entities
1 Entity mapped“He was speaking with The Drum alongside Roland Butler, head of product at Zalando about content’s next chapter....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Brands Must Build Creative Infrastructure for AI
At an ADWEEK House Cannes Lions panel co-hosted with Empathy Lab, marketing leaders argued that brands should build connected creative infrastructure—linking creative teams, engineers, data and AI—to keep pace with culture and avoid generic AI output. Speakers including Zalando’s Roland Butler and Empathy Lab’s Ben Hall said the competitive edge will come from systems thinking, upstream human empathy and editorial governance rather than simply more tooling. Zalando shared a use case where tooling linked trend signals, product relevance, visuals and editorial review to publish a Met Gala campaign within 24 hours. Panelists emphasized prioritizing creative talent, embedding strategic judgment into operating models, and optimizing for “speed to insight” instead of volume of AI-generated assets.
Brands Set Rules for AI in Customer-Facing Content
Brands are rapidly adopting generative AI to accelerate creative production, remix existing assets, lower costs and enable concepts impractical to film, while enforcing brand-specific guardrails for consumer-facing content. Case studies from Unilever, Hilton, Koia, Coca‑Cola and smaller brands show faster asset turnaround and measurable performance gains, but marketers emphasize AI should refine—not replace—human creativity to avoid “sameness,” authenticity risks and potential consumer backlash. Teams distinguish behind-the-scenes uses (drafting, optimization, localization) from visible AI outputs (AI-generated people), with some brands limiting public-facing AI to protect trust or premium positioning. Surveys underline near-universal marketer adoption—Canva found most leaders use AI daily and plan to increase investment—so companies pair AI-driven scale with policies and creative oversight to preserve brand voice.
Zalando and ERGO Transform Video Production with Google AI
At the YouTube Festival 2026, Lounge by Zalando and ERGO showcased how they leverage Google AI to revolutionize video production. Lounge by Zalando halved its production time for the Black Friday 2025 campaign using Veo 3 and Imagen 3, reducing it from three months to 1.5 months. ERGO is piloting an 'Agentic Gen AI Marketing Engine' with Deloitte and Google, which automates the creation of localized YouTube video ads from simple inputs. The engine generates up to 50 assets per month, a 20-fold increase, and cuts production time from weeks to days. Both companies emphasize maintaining brand identity and human oversight. YouTube's higher ROI compared to linear TV (90%) and paid social (70%) drives budget shifts, according to studies by Ekimetrics and Nielsen.
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