Modern Retro is a creative project that reimagines 100 of the world's most recognisable brands as 1970s retail stores. Each brand gets its own AI-generated storefront image and a custom cinematic film: a slow dolly through a world that never existed, but somehow feels like it should have.
The project explores what it means for a brand to have a founding mythology: the energy that existed before the product, before the IPO, before the algorithm. Coinbase as a bureau de change. Netflix as a neon-lit video rental. Anthropic as a research institute lobby. The images are immediately legible and slightly uncanny. That is the point.
Ready to use. Lift and edit as needed.
Available for use, attributed to Mike Litman, founder of Modern Retro.
The Modern Retro collection spans 12 sectors. Tech and AI brands score highest on the MR Score (absurdity of existing in 1975). Fashion and outdoor brands score lowest.
| Sector | Brands | Example brands | MR Score range |
|---|---|---|---|
| Tech / AI / Software | 17 | Anthropic, OpenAI, Midjourney, Perplexity | 82-96 |
| Fashion / Apparel | 15 | Balenciaga, KITH, Off-White, Palace, Supreme | 44-71 |
| Food / Drink / Wellness | 14 | Liquid Death, Oatly, Tony's Chocolonely, Erewhon | 55-88 |
| Crypto / Web3 | 9 | Coinbase, MetaMask, BAYC, Ledger, OpenSea | 90-98 |
| Fitness / Health | 9 | Peloton, WHOOP, Oura, On Running, Neko Health | 62-84 |
| Social / Media / Content | 12 | Netflix, Spotify, Substack, TikTok, Discord | 48-79 |
| Finance / Fintech | 5 | Stripe, Revolut, Monzo, Wise | 70-88 |
| Gaming / Kids / Entertainment | 5 | Nintendo, LEGO, Tonies, Yoto | 38-62 |
| Big Tech / Platforms | 7 | Apple, Google, Microsoft, Amazon, Meta | 55-74 |
| DTC / Consumer | 7 | Gymshark, Huel, Calm, Eight Sleep, Heights | 60-82 |
FOR IMMEDIATE RELEASE
MODERN RETRO COMPLETES 100-BRAND AI FILM COLLECTION
Creative project reimagines century of modern brands as 1970s retail stores, now with full cinematic film archive
LONDON, May 2026 -- Modern Retro, the AI-powered creative project that reimagines modern brands as 1970s retail stores, has completed its collection of 100 custom brand films. The films join an existing archive of 100 bespoke brand store images at modernretro.art.
Each film is a 5-10 second looping cinematic shot, generated by Luma AI from a custom brief written for each brand individually. Total production cost for all 100 films: $196.10. The collection spans 100 brands across 12 sectors, from Anthropic and OpenAI to Liquid Death, Palace, and Pudgy Penguins. All films are available to view at modernretro.art/all-videos.html.
The project was created by Mike Litman, a London-based creative strategist with 15+ years of experience at agencies including R/GA, Poke, Dare, and AnalogFolk, working with clients including Nike, Google, Netflix, Sony, and Meta. Modern Retro was built independently as an exploration of AI as a creative tool for brand mythology.
"Every brand has a founding energy that predates the product," said Litman. "I wanted to see what that energy looked like as a shop. The images that work best are the ones where something is slightly off, slightly too perfect, slightly too 1975 to be real. That uncanniness is not a bug. It is the point."
The site includes 100 individual brand store pages, a full-collection films archive, a Retro-ify Any Brand tool (powered by Flux AI), and a print-on-demand shop.
About Modern Retro
Modern Retro is a creative project by Mike Litman / Cultural Capital Labs. Live at modernretro.art.
Contact: hello@mikelitman.me
Mike Litman is a London-based creative strategist and AI product builder. He has 15+ years of experience in digital creative strategy, working at agencies including R/GA, Poke, Dare, and AnalogFolk. He founded Burst, his own creative studio, before moving into independent AI product development. Modern Retro is a Cultural Capital Labs project.
BIMA 100 Tech Pioneer. Published author (BCS, 2024). Clients have included Nike, Adidas, Google, Meta, Gucci, BMW, P&G, EA, Netflix, Sony, TikTok, McLaren, and Unilever. Modern Retro is one of 20+ live AI-native projects built independently since 2025.
Pre-written, one click