Image 2 has brought Chinese text accuracy to 95%—now is the perfect time to enter these five new business opportunities. Over the past two weeks, my social circle has been flooded with Image 2. I clicked through each one, and the results were truly explosive. What has Image 2 accomplished? In one sentence: Chinese text accuracy has reached nearly 95%. The core bottleneck that previously made AI-assisted design unworkable has now been largely resolved. I have a friend who’s been in design for ten years. After trying Image 2, he sent me a message I still remember vividly: “This time, something feels different.” Every time a new AI image tool emerged, he’d dismissed it as average—his company always needed him, the seasoned designer with a decade of experience. But this time, he told me: “I genuinely feel threatened. I need to change too.” For a designer with ten years of experience to say that—honestly, I sat stunned after reading his message. The impact of this is deeper than most realize. It’s not just about AI-assisted design itself—it will trigger a cascade of entirely new business models. Many people have underestimated Image 2’s significance. Most assume it’s simply another incremental improvement in AI-generated images. But what’s truly happening is that, for the first time, visual content can now be produced rapidly and at low cost—just like text, which has long been the core production asset of the internet. Once capabilities like Image 2 mature, humans can now directly drive commercial systems using AI-generated imagery. People who can’t draw can now produce visual content. Those who can’t model can generate product images. Those who can’t shoot can batch-produce ads. Those unfamiliar with UI can generate interfaces directly. Those without design skills can now run their own visual production factories. Every time the barrier to production drops, new business models emerge. This isn’t a new pattern. The invention of the printing press gave rise to newspapers. The普及 of digital cameras enabled mass photography. The arrival of smartphones birthed short-form video. Now it’s AI-generated imagery’s turn. Let’s start with the design industry. Previously, half of a designer’s value lay in execution speed—the ability to deliver drafts quickly, revise rapidly, and meet deadlines. With Image 2, much of this work has been compressed. Those with taste and judgment have seen their efficiency increase by more than an order of magnitude; those who relied solely on speed are now struggling. Frankly speaking, what makes designers valuable now has shifted from “How fast can you deliver?” to “Can you judge what’s good?” The changes in e-commerce are even more dramatic. I came across a post on Xiaohongshu where someone used Image 2 to create a 30-second brand video ad—for $2, delivered in 25 minutes. What would a photography agency charge for the same request? At least $2,000, with a three-day turnaround. This isn’t just about saving money—it’s about efficiency. High-quality design is now accessible to small and medium-sized merchants for the first time. Those who previously couldn’t afford photographers now have options. The education sector offers an even more interesting case. A friend who runs AI education for teens used Image 2 to generate an entire set of textbook illustrations, teaching presentations, and exam layouts in less than half a day. Previously, this would have taken two to three weeks. Style consistency is maintained through prompt templates—no need for staff to monitor every step. Marketing is similar. Product showcase images, tourism promotional materials—once, one photoshoot would last three months. Now you can release an entirely new visual set every week. It’s not just about productivity gains—it’s about creating entirely new business opportunities. Building on the above, here are five concrete paths worth seriously considering now. I’m not certain all will succeed, but I believe the directions are sound—sharing them for your consideration. 1. AI-Assisted Image Generation Service Small and medium e-commerce sellers have continuous needs for product images: main images, detail pages, platform-specific ad creatives—but most can’t afford full-time designers. Previously, AI-generated image services failed because text inputs required manual correction and couldn’t deliver usable results. Now, with Image 2’s 95% Chinese accuracy, you can deliver production-ready outputs directly. The workflow is simple:客户提供产品图和卖点文字，你生成提示词，Image 2 generates eight variants, you select three for delivery—all within an hour. The real barrier isn’t technology—it’s prompt engineering. Once you develop a template optimized for a specific product category, scaling becomes highly efficient. 2. Monthly Visual Content Subscription Local businesses have consistent visual needs: holiday posters, event graphics, social media content—all high-frequency essentials. Previously, businesses either settled for amateur efforts or paid high fees for slow custom work. Packaging this as a monthly subscription is a stable model. But honestly, what’s missing isn’t image generation—it’s your understanding of the client’s industry. To deliver truly usable assets, you need to understand restaurant seasonal cycles, beauty marketing tactics, etc., so you can proactively plan visuals. 3. Visual Services for Content IPs Knowledge creators, personal brand entrepreneurs, and course developers all need consistent visual branding: unified course cover styles, recognizable social media graphics, cohesive content aesthetics. Before Image 2, fulfilling these needs was prohibitively expensive. Now you can lock in style parameters and prompt templates once—and maintain perfect consistency going forward. What was once impractical is now a viable business. This path commands higher pricing and longer engagement cycles—ideal for those with design backgrounds. It has barriers to entry but a very high ceiling. 4. AI Model Agency Few have realized this opportunity yet. Virtual model agencies will inevitably emerge. An AI model never scandals, never takes leave, never demands raises, never has scheduling conflicts—and can endlessly switch scenes, outfits, and even nationalities. Image 2 will completely reshape fashion, jewelry, beauty, styling, and livestream thumbnails—all through AI models. Imagine: many Taobao stores won’t need real-life models anymore. Upload a garment photo; generate full-length model shots automatically—with skin tone, facial features, and cultural aesthetics adjusted per target market. This represents a massive underlying market. Let me also highlight a few more specific use cases: E-commerce main images are changing most directly. Previously, producing a full set—main image + detail page + multi-platform ads—for one SKU took an entire day. Now it takes one hour. But the bigger opportunity lies in serviceization: helping a training institution standardize its course visuals and continuously manage image updates with each content revision—this creates an ongoing relationship, not a one-off project. Content factories for self-media are also worth serious attention. Xiaohongshu product posts and WeChat article graphics require high volume and frequency—and demand strong visual quality. Image 2’s photorealism has significantly improved their usability. The key is building a reusable prompt library—not starting from scratch every time. Who will seize this opportunity? I believe a group of people will be reactivated: designers, those with deep vertical industry knowledge, individuals with strong aesthetic judgment who previously couldn’t take on projects due to high execution costs. Image 2 has dramatically lowered their entry barrier. Designers who relied solely on speed for pricing will struggle—not because there’s no path forward, but because they must ask: Where did my value lie before? Is it still valuable now? Across the entire market, those with judgment and aesthetic ability are seeing their premiums rise.Once execution costs approach zero, all value concentrates in judgment. Your worth now depends on how accurately you can judge—not how fast your hands move. So how do you begin? The barrier to entry is actually low. GPT is free to use; GPT Plus costs just $20 per month. In your first week, do just one thing: pick a type of client you know best, identify a few real needs, and create a free sample. This isn’t about practice—it’s about determining whether Image 2’s output in your chosen direction can truly meet delivery standards. This is more valuable than watching a hundred tutorials. Then, organize the prompts you used into a template. This becomes the foundation of your future efficiency and the starting point of your competitive moat. Who isn’t suited for this? People with no industry background or aesthetic judgment. Tools handle execution—but judgment must come from you. One more thing to note: the cognitive gap and opportunity window close quickly. Honestly, AI image generation began in the Midjourney era, and since then we’ve seen DALL·E 3, Ideogram, Flux—each generation improving, yet none truly solving commercial delivery. What sets Image 2 apart is that it’s the first to remove the most critical bottleneck. At 95% accuracy in Chinese, AI image generation has finally shifted from being an “inspiration tool” to a “delivery tool.” This may sound like just a change in wording—but if you’ve ever done design work, taken on clients, or delivered final products, you’ll know how vast the gap between these two terms truly is. An inspiration tool improves efficiency. A delivery tool transforms the entire supply chain. Looking back, every major reduction in production barriers—printing presses, cameras, smartphones—has spawned waves of new creators, new business models, and new industries. Image 2 may be the key to this moment. For those with taste and judgment—but held back until now by execution costs— It’s time. #AI #AIAgent @grok