Summary of Key Points
AI image generation technology has become a hot commodity at trade shows, with interactive tools such as AI cameras and AI fridge stickers commanding daily rents of up to 9,000 yuan. These have replaced traditional attractions like claw machines and balloon giveaway activities, becoming the new standard for attracting visitors. Although these applications may seem like a case of overusing advanced technology (mere templated outputs rather than creative works), they effectively address the needs of businesses (cost-effective ways to generate traffic and exposure). At the same time, AI image generation is beginning to penetrate deeper into various industries (fashion, e-commerce, advertising, etc.). To fully realize its potential, it will be essential to strike a balance between immediate monetization for attracting visitors and meaningful, industry-specific applications.
Detailed Analysis
Why Can AI Cameras Be Rented for 9,000 Yuan per Day? – Targeting the Critical Need of Businesses at Trade Shows
What worry businesses most at trade shows? A lack of visitors at their booths! AI cameras precisely address this issue:
- Cost-effective Traffic Generation: In the past, companies had to spend a lot on exhibition boards and distribute flyers; now, an AI camera can create interest by having visitors queue up (e.g., to get free fridge stickers by scanning a code), making the booth more noticeable.
- Natural Sharing Potential: Visitors are likely to share the generated images or related products on social media, essentially promoting the business for free.
- Businesses Are Willing to Pay: The buyers of these machines are the marketing departments of trade show companies. They don’t care how advanced the AI technology is; they only care about low customer acquisition costs and high conversion rates. Although a daily rent of 9,000 yuan may seem high, it’s more cost-effective compared to traditional methods (e.g., hiring models or building large interactive installations).
As reported in the news, a company that originally made amusement equipment has switched to producing AI cameras because it saw the clear demand from businesses: “As long as we can attract people, money is not an issue.”
Why Are Trade Show Applications of AI Technology So Simple? – Simplification for Better Acceptance
AI image generation technology has evolved significantly:
- Before 2023: AI-generated images were often unrecognizable (e.g., the Oriental Pearl Tower might appear as a slender figure).
- In 2023: Techniques like LoRA and ControlNet emerged, allowing AI to generate images based on specific styles.
- By 2025: The Transformer architecture enabled AI to understand spatial relationships, resulting in more accurate representations (e.g., a person standing in front of a tree would be correctly depicted).
However, at trade shows, these technologies are simplified to a process of choosing a template (anime, traditional Chinese style, cyberpunk), taking photos, generating images, and printing them. Why? Because the public wants something quick and fun, not complex creativity. In a trade show setting, visitors don’t have the time for complicated operations; templated solutions make it easier for more people to participate, thus improving the effectiveness of attracting traffic.
This simplification also leads to a problem: all AI interactions at trade shows follow similar styles, which can become repetitive over time.
Who Makes Money from AI Image Generation? – Businesses Are the Main Drivers
To be profitable, AI image generation relies mainly on businesses:
- Low Willingness of Individual Users to Pay: There are many free AI tools available in China (e.g., DouBao, Meitu), so only a small number of users are willing to pay (with conversion rates of 3%-10% in certain industries). Profitable platforms like Midjourney (annual revenue: $500 million) target specific user groups (professional designers, beauty enthusiasts).
- Businesses Are the Key Customers: Trade show companies, advertising agencies, and e-commerce platforms are willing to invest because AI can help them reduce costs and increase efficiency (e.g., generating ad banners, replacing traditional photo shoots for product listings). Service providers that offer hardware, software, and operational solutions are targeting these businesses.
This is similar to the O2O model of offering free gifts in exchange for user data; the logic remains the same, only the tool has changed from physical gifts to AI technology.
The Future of AI Image Generation
The development of AI image generation cannot be limited to trade show applications:
- Immediate Traffic Generation: These applications have helped AI technology become profitable and have made it more widely known (just as QR codes were first used for adding friends and later for ordering food).
- Industry-Specific Applications: There are already specialized tools being used in various fields:
- Fashion: Octo-Lab helps brands reduce shooting costs by generating digital renderings of clothing.
- E-commerce Advertising: Adobe Firefly and ZhiXiang HiDream use AI-generated images for advertisements and product pages.
- Gaming and Education: Volcano Engine Seedream integrates AI-generated images into games and educational materials.
A balanced approach that combines both immediate traffic generation and industry-specific applications is crucial for the long-term success of AI image generation. Without either, the technology may remain limited or fail to gain widespread recognition.
In summary, AI image generation is like a brick: trade show applications are used to make it visible to the public, while industry-specific applications build upon its potential. Both are essential; one cannot exist without the other. The current focus on simplified, practical applications is not a waste of technology but a way to ensure its sustainable growth and widespread adoption.