ai big model ecosystem: platform wars and user retention

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on the one hand, major ai model companies actively promote "hard advertising" marketing strategies to attract users and promote product applications, but the effect is not good. due to low user awareness, ai products are still in the exploratory stage in actual use. another way is to guide users to have a deep understanding of the application scenarios of ai models through developer communities and tutorials, and gradually form an ecological closed loop.

however, the ai ​​field needs to break through the simple "hard advertising" marketing model. user education, application scenario development, and ecological construction are the key to solving the problem, which requires joint efforts from all parties. at the same time, changes in the capital market environment have also posed new challenges to the development of large ai models. recently, nvidia's stock price plummeted, and alibaba's senior management re-examined its investment strategy, which shows the turbulence of the capital market and future challenges.

ecosystem construction and market competition

domestic ai platform companies are in a "double-edged sword" situation. on the one hand, they need to continuously invest resources in technology research and development and ecological construction, and strive to create powerful and usable ai models; on the other hand, they also need to compete with other companies for users and market share.

however, large-scale startups are facing financial pressure and market challenges. many companies have begun to downsize and lay off some teams in an attempt to adapt to the new situation. some startups are looking for new investment directions to find a way to support their continued development.

future outlook

in the era of global technological competition, china's ai market is in a stage of rapid development. to achieve long-term development, it is necessary to break the deadlock of the "platform war" and rely on technological innovation and ecological construction to win users and market share. only by breaking through the existing bottlenecks in technology and establishing a strong application scenario and ecosystem can we achieve real success.

ultimately, the development of ai big models will depend on user needs and technological progress. only by continuously improving and perfecting products and services can we better meet user needs and win in the competition.