The current field of AI entrepreneurship shows significant polarization: on the one hand, OpenAI released innovative products such as Sora, which triggered a boom in the capital market, and many AI startups received huge amounts of financing; on the other hand, many AI companies closed down due to various reasons. This situation of ice and fire highlights the cruelty of competition in the AI industry, and also sounds a wake-up call for AI entrepreneurs. Comparative analysis of successful and failed cases will help us better understand the opportunities and challenges of AI entrepreneurship.
AI entrepreneurship is a world of ice and fire. OpenAI's release of Sora triggered a capital carnival. Many AI startups received financing, and many AI startups closed down. Successful cases show that AI startups need to choose a suitable track, build a business model, establish technical barriers, and avoid excessive growth. Failure cases exposed deficiencies in track selection, commercialization, technical barriers, growth speed, etc.All in all, opportunities and challenges coexist in the field of AI entrepreneurship. Success requires accurate judgment and layout in technology, business model and market strategy to stand out in the fierce competition and achieve sustainable development. Only by choosing the track carefully and developing steadily can we avoid becoming the next case of bankruptcy.