5 Weird Ways Marketers Use AI Image Boards

What are AI Image Boards?

AI Image Boards are digital platforms that use artificial intelligence to generate, edit, and organize visual content based on text descriptions. These tools combine machine learning algorithms with user interfaces to create and manage commercial-quality images at scale.

Source: ZDNET
Updated: February 2025

AI Image Boards! Did you know AI image boards now create more visual content in 24 hours than all human photographers combined did before 1975? Since 2022, tools like DALL-E and Midjourney have spawned over 15 billion images —outpacing 150 years of traditional photography in just 12 months. For marketers, this isn’t just innovation—it’s a tectonic shift in how brands hijack attention and hack consumer psychology.

The Owl of Marketing: AI Image Boards in the Wild.

What if your favorite ad’s "human touch" was crafted by a machine trained on 10 million stolen sunsets?

Last month, a beverage company fed 80s punk album covers into an AI image board. The result? A glow-in-the-dark soda can that trended on TikTok for 72 hours straight. Their secret? Using JustOborn’s Anon Image Boards to blend retro rebellion with Gen-Z aesthetics—no designers harmed.

AI Image Board Essentials

Why Marketers Love AI Image Boards

Create 38% more engaging ads using platforms like JustOborn's Anon Boards. Key benefits:

- ✅ Generate 100+ visuals/hour
- ✅ Test concepts before production
- ✅ Reduce design costs by 65%

Try Adobe Firefly →


See Case Studies →

Introduction: When Reality Bends to Pixels

Picture this: A taco floating through a neon-lit cityscape, whispering your name. Sound absurd? For marketers, it’s Tuesday.

The Rise of AI Image Boards: A New Era of Visual Content.

AI image boards—software that transforms text into hyper-realistic visuals—have rewritten the rules of advertising. Born from frameworks like GANs (Generative Adversarial Networks), these tools now generate 34 million images daily, eclipsing human creativity at warp speed. Take Adobe Firefly: in three months, it birthed 1 billion images, while Midjourney’s 15 million users churn out 2.5 million daily visuals .

But here’s the twist: Marketers aren’t just making ads—they’re engineering parallel universes. Heinz’s AI campaign using DALL-E to reimagine ketchup bottles in space drove a 38% spike in engagement, proving even condiments can go viral with machine help. Meanwhile, brands like Coca-Cola steal colors from volcanic eruptions and coral reefs using AI palettes—no Pantone swatch required.

AI Image Generation Statistics 2025

Midjourney (26.8%)
DALL-E (24.35%)
Starry AI (12.75%)
Stable Diffusion
12.5B Images
Adobe Firefly
1B Images
Midjourney
964M Images

Data sources: Everypixel Journal, AIPRM Statistics

Why care in 2025?

- $917M AI image market: Projected to triple by 2030
- 73% of marketers now use AI tools for campaigns
- Ethical grenades: 54% of consumers distrust AI visuals

From AI-generated deepfakes to Stable Diffusion’s open-source dominance, this isn’t just tech evolution—it’s a creativity arms race. Buckle up: Your next favorite ad might be crafted by a machine trained on Van Gogh and TikTok memes.

Ready to see how marketers weaponize weird? Let’s dive into the 5 strangest tactics reshaping advertising—no VR headset needed.

AI Image Tools Tutorial

Key Tools Covered:
- Taggy - AI Caption Generator
- Image to Caption.io - Quick Caption Tool
- Google Bard - AI Image Analysis

Historical Context: From Art to Ads

1960s–2000s: The Birth of AI Art with Harold Cohen’s AARON

The story of AI art begins in the late 1960s when Harold Cohen, a British artist, developed AARON, the first AI art-making program. Designed at the University of California, San Diego, AARON was groundbreaking—it used symbolic rule-based programming to create abstract black-and-white drawings, which Cohen later painted himself (Wikipedia, 2024).

The Future of Apps: AI Image Boards Reimagine the Interface.

AARON’s evolution over decades—from simple shapes to intricate paintings—pushed the boundaries of what machines could achieve creatively. By 1972, AARON was exhibited at the Los Angeles County Museum of Art, marking its entry into mainstream art discourse (Art Sôlido, 2024). This period laid the foundation for today’s generative models by showcasing how algorithms could mimic human creativity.

- In 2024, the Whitney Museum of American Art celebrated AARON’s legacy in an exhibition featuring its earliest works (Whitney Museum, 2024).
2010s: The Rise of Generative Adversarial Networks (GANs)

Fast forward to the 2010s, and AI art took a leap with Generative Adversarial Networks (GANs). Introduced by Ian Goodfellow in 2014, GANs allowed machines to generate entirely new images by pitting two neural networks—a generator and a discriminator—against each other (TechTarget, 2024).

This technology enabled artists and researchers to create hyper-realistic visuals that blurred the line between human and machine-made art. Google’s DeepDream, released in 2015, further popularized AI art with its surreal and psychedelic imagery (Restackio, 2025).

- GAN-powered projects like “Edmond de Belamy,” an AI-generated portrait, sold for $432,500 at auction in 2018 (Artnet News, 2024).
AI Image Boards: Evolution & Applications

AI Image Boards Evolution Timeline

Early AI Art Beginnings

1960s-2000s: Harold Cohen's AARON system creates rule-based artworks.

Explore modern equivalents →

Marketing Revolution

2024: 73% of marketers now use AI tools for campaigns.

Forbes Report →

Color Extraction

AI analyzes natural scenes to create brand palettes.

Adobe Firefly Tools →

Virtual Try-Ons

60% of eCommerce uses AI-generated 3D models.

See 3D Solutions →

2020s: Diffusion Models and the Marketing Revolution

The 2020s marked a turning point with the introduction of diffusion models, which surpassed GANs in generating high-quality images. These models work by adding noise to training data and learning to reverse it, resulting in stunningly realistic visuals (AssemblyAI, 2024).

The Art of Branding: AI Image Boards and Surreal Advertising.

Platforms like DALL-E, MidJourney, and Stable Diffusion democratized AI image generation by allowing users to create visuals from simple text prompts. This accessibility transformed industries like marketing, where brands began leveraging these tools for ad campaigns and product visualizations.

- Key Statistic: As of 2024, over 15 billion images have been created using text-to-image algorithms like DALL-E and MidJourney (Everypixel Journal, 2023).
- Case Study: Adobe Firefly reached 1 billion images created within three months of its launch in 2023 (Adobe Firefly, 2024).

Evolution of AI Image Technology

1960s-2000s
Early AI Art Foundations

Harold Cohen develops AARON, the first AI art program using rule-based systems. Learn more

2014
GANs Revolution

Generative Adversarial Networks (GANs) enable realistic image synthesis. Our analysis

2020
DALL-E Emerges

OpenAI releases first text-to-image model, changing creative workflows. Official release

2024
Mainstream Adoption

73% of marketers adopt AI tools. Success stories

2025
Enterprise Solutions

Platforms like Anon Image Boards dominate commercial use

2024–2025: AI Image Boards Go Mainstream

By 2025, AI image boards have become indispensable tools for marketers. Platforms like JustOborn’s Anon Image Boards offer businesses the ability to create custom visuals at scale. From mood boards to ad storyboards, these tools are reshaping how brands conceptualize campaigns.

- Key Trend: Nearly 73% of marketers now use AI tools for content creation (Fast Company, 2024).
- Future Outlook: The global market for AI image generators is projected to reach $917 million by 2030 (Leonardo AI, 2025).

From AARON’s early sketches to today’s sophisticated diffusion models, AI has evolved from an experimental tool into a cornerstone of marketing innovation. As we head deeper into the age of generative AI, platforms like JustOborn’s Anon Image Boards are leading this creative revolution—empowering brands to dream bigger and execute faster than ever before.

Advanced AI Image Generation Techniques

Related Resources:
-
NVIDIA Canvas
AI Tool
-
DALL-E Documentation
Guide
-
Stable Diffusion
Tutorial

The 5 Weirdest Marketing Uses of AI Image Boards

Dreaming Up Fake Products

AI image boards are revolutionizing product ideation by enabling marketers to create visuals of non-existent products, allowing them to test consumer reactions without investing in physical prototypes. For example, a glow-in-the-dark shampoo bottle or a floating skateboard can be generated in minutes using tools like DALL-E or MidJourney. These images are then used in A/B testing to gauge audience interest.

The Sneaker That Craves: AI Image Boards and Subliminal Marketing.
- Case Study: Toys “R” Us created an AI-generated brand film using OpenAI’s Sora tool, which reimagined the company’s origin story with hyper-realistic visuals. This campaign premiered at the 2024 Cannes Lions Festival and demonstrated how AI could condense weeks of production into days (Multichannel Marketer, 2024).
- Statistic: Ads featuring AI-generated visuals saw a 21.5% higher click-through rate compared to those with human-made images (SSRN, 2025).
- Image Idea: Side-by-side comparison of real vs. AI-generated product mockups.

Core Capabilities of Modern AI Image Boards

Rapid Prototyping

Generate 100+ product concepts/hour using tools like Anon Image Boards

See Case Studies →
Style Transfer

Apply brand aesthetics across 50+ formats instantly via Adobe Firefly

Learn Techniques →
Consumer Insights

Test concepts with AI-powered focus groups achieving 92% accuracy

Research Paper →
Cross-Platform Adaption

Auto-resize visuals for 15+ social platforms in One Click

See Examples →
Stealing Colors From Nature

AI tools like Adobe Firefly and Huemint are now scanning natural landscapes—sunsets, forests, and oceans—to generate unique color palettes for branding and advertising campaigns. This process ensures that brands can evoke specific emotions tied to natural beauty in their designs.

- Example: Coca-Cola’s AI-driven holiday campaign used AI tools to extract festive colors from iconic holiday imagery, creating personalized digital greeting cards for consumers (Coca-Cola Media Center, 2024).
- Statistic: Over 60% of online searches are influenced by visual aesthetics derived from AI-generated color palettes (UX Collective, 2024).
- Affiliate Link: Explore Adobe Firefly’s Color Palette Generator.
Hidden Messages in Plain Sight

Marketers are embedding subliminal symbols into AI-generated images to add layers of meaning or intrigue. This tactic, known as "visual steganography," uses generative models like Stable Diffusion to hide logos, words, or patterns within larger visuals.

The Future of Fashion: AI Image Boards and Historical Reimagination.
- Tactic Example: A shoe ad might subtly incorporate pizza slice patterns in its design to resonate with younger audiences (Geekflare, 2024).
- Research Insight: Ads with hidden elements outperform standard visuals on social media engagement metrics by up to 35% (Forbes, 2024).
- Image Idea: An interactive “Spot the Hidden Taco” example showcasing subliminal messaging. http://justoborn.com/ai-image-boards/