60 assets. 3 markets. One system. 48 hours.
When the machine learns the brand, speed follows.
Case study · AI-Powered Campaign Production & Creative Direction
Adidas | Global Sports & Lifestyle | Creative Director | Holiday Toolkit Campaign · 2024
Adidas had a brief, a brand, and 48 hours. Three markets. Sixty assets. One creative system built around AI-powered production — directed by a human who knew exactly where the machine needed to lead and where it needed to follow.
The challenge
Adidas doesn't have a creativity problem. They have a scale problem.
For their US Holiday season campaign, the brief was deceptively straightforward: design a toolkit of email campaigns, digital ads, and packaging creative that could run across three distinct markets simultaneously — each with its own audience profile, cultural context, and channel mix — without losing the visual coherence that makes adidas instantly recognisable anywhere in the world.
The real constraint wasn't creative. It was time. The window between final brief and market-ready assets was 48 hours. In a traditional production pipeline, that brief would require a team twice the size and a budget to match. The work simply couldn't be done at the quality adidas demands — unless the production model itself changed.
This was the project that proved it could.
The craft
The first decision was strategic, not creative: before a single asset was designed, we rebuilt the production workflow around AI-assisted generation — using Midjourney for visual concepting and directional exploration, and Adobe Firefly for brand-aligned asset production within adidas's established visual system.
This wasn't AI as a shortcut. It was AI as a force multiplier — applied precisely to the parts of the process where speed and volume were the constraints, while keeping human creative direction in full control of the decisions that mattered: brand integrity, cultural calibration, and the strategic narrative connecting the campaign across all three markets.
The strategic framework came first. Before any generation prompt was written, we established the campaign's visual and tonal north star — adidas's holiday positioning sits at the intersection of performance and gifting culture, athletic aspiration and warmth. That tension needed to hold across email, digital advertising, and packaging. Getting the strategic foundation right meant every AI-generated direction was evaluated against the same criteria: does this feel unmistakably adidas, and does it translate across markets without flattening into generic?
The first decision was strategic, not creative: before a single asset was designed, we rebuilt the production workflow around AI-assisted generation — using Midjourney for visual concepting and directional exploration, and Adobe Firefly for brand-aligned asset production within adidas's established visual system.
This wasn't AI as a shortcut. It was AI as a force multiplier — applied precisely to the parts of the process where speed and volume were the constraints, while keeping human creative direction in full control of the decisions that mattered: brand integrity, cultural calibration, and the strategic narrative connecting the campaign across all three markets.
The strategic framework came first. Before any generation prompt was written, we established the campaign's visual and tonal north star — adidas's holiday positioning sits at the intersection of performance and gifting culture, athletic aspiration and warmth. That tension needed to hold across email, digital advertising, and packaging. Getting the strategic foundation right meant every AI-generated direction was evaluated against the same criteria: does this feel unmistakably adidas, and does it translate across markets without flattening into generic?
Three markets. One visual system. Localised without losing brand coherence.
Three markets. One visual system. Localised without losing brand coherence.
The concepting phase was compressed without being compromised. Using Midjourney, we generated multiple visual directions in parallel — exploring colour systems, compositional approaches, and seasonal mood across holiday aesthetics that would resonate differently in each market. What would have taken days of mood boarding and concept development was compressed into hours — not because the thinking was skipped, but because the iteration cycle was radically accelerated. The creative director's role shifted from generating options to evaluating and directing them.
Production was systematised at scale. Once the creative direction was locked, Adobe Firefly's brand-trained generation capabilities allowed the approved visual language to be applied consistently across the full asset suite — 60 individual pieces spanning email headers, hero banners, animated digital ads, and packaging artwork, each adapted for its specific market and channel without losing the visual cohesion that holds a campaign together. Every asset was reviewed, refined, and signed off by the creative director before delivery.
Cultural calibration was the human layer that AI couldn't replace. Market-specific adaptation — adjusting visual weight, product emphasis, and seasonal reference points for audiences in the US, UK, and a third international market — required the kind of cultural judgement that generative tools cannot yet provide. That layer remained entirely human, informed by the strategic brief and applied with precision across the localised asset variants.
The change
The campaign delivered 60 market-ready assets across three markets in 48 hours — at a quality standard that met adidas's global brand requirements and hit every channel deadline without a single revision cycle caused by brand inconsistency.
Full asset suite — email, digital advertising, packaging, and social — delivered across three markets
The production efficiency gain was significant: a 30% reduction in concept development time compared to a traditional workflow, achieved not by reducing creative ambition but by removing the friction between creative thinking and creative output. The team produced more, faster, without the quality compromises that speed usually demands.
Traditional pipeline vs AI-integrated pipeline — same quality standard, a fraction of the time
More importantly, the project demonstrated something structural: that AI-integrated creative production isn't a future-state aspiration for brands operating at global scale — it's a present-day competitive advantage. The brands that build these workflows now will move faster, localise more precisely, and spend their creative budget on thinking rather than production time.
For adidas, the Holiday toolkit delivered. For the practice of creative direction, it proved that the role doesn't shrink when AI enters the workflow. It sharpens.
The Work — Holiday Toolkit 2024