In the current AI entrepreneurship field, the space and number of trial and error has decreased significantly compared with the mobile Internet wave a few years ago, with a decrease of as much as 80% to 90%. This change reflects a profound change in the venture capital environment, with investors' tolerance for AI startup projects significantly reduced, and the decision-making process is more cautious. Therefore, entrepreneurial teams in the AI field must pay more attention to actual revenue capabilities, which is the key to attracting investment and maintaining the sustainable development of the business.
The challenge facing AI entrepreneurial teams is not only technological innovation, but also how to effectively combine technology with market demand to form a sustainable business model. Investors are now more concerned about the profitability of the project than simply technological advancement. Therefore, entrepreneurs need to consider how to make profits through products or services from the early stages, rather than relying on future technological breakthroughs.
The combination of AI technology and the enterprise service market is expected to change the situation in which the SaaS (software as a service) field was not favored by capital in the past. By applying AI technology to enterprise services, entrepreneurial teams can create more valuable and competitive products, thereby attracting more investment and market recognition. This combination not only enhances the practical application value of AI technology, but also provides entrepreneurial teams with more business opportunities.
In the AI track, entrepreneurial teams need to have the comprehensive capabilities of "MSHTC", that is, the ability to builders, executors, industry veterans, technical leaders and content leaders. This comprehensive capability can not only help the team make breakthroughs in technology research and development, but also gain advantages in marketing, product promotion and customer service. Only teams with these abilities can stand out in the highly competitive AI field and achieve long-term success.
In short, in the current investment environment, entrepreneurial teams in the AI field must pay more attention to the construction of actual income and business models. Only by effectively combining AI technology with the enterprise service market and teams with comprehensive capabilities can long-term success in the AI track. In the future, with the continuous development and application of AI technology, entrepreneurial teams will face more opportunities and challenges. Only by constantly innovating and adapting to changes can they be invincible in the fierce competition.