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since the early days of mobile internet, platform wars have swept across various industries, from group buying, e-commerce, online travel, to food delivery and shared bikes. each "war" is accompanied by high capital investment and fierce competition. however, the market penetration of ai products is difficult to match these products. the user education strategy must change from a simple hard advertising model to the "application scenario" level, so that ai products can truly integrate into users' daily lives.

a practitioner in the big model track pointed out that "the vast majority of users will not use ai products at all, so your hard advertising of products is not very meaningful, and it still needs to be implemented in application scenarios." another industry insider said, "some highly active products do not use hard advertising, but more often talk about the function itself. if the new function is easy to use, users will naturally use it." this "user experience" orientation may be the key for ai products to truly break away from capital dependence.

however, the ai ​​field is also undergoing a profound transformation, facing new challenges from the technical level to marketing methods. nvidia's stock price plummeted, and alibaba's senior management began to re-examine the direction of investment. zhu xiaohu bluntly said that "the domestic situation may be worse than this." these changes undoubtedly make the ai ​​market face greater challenges and also trigger thinking: how to find a breakthrough in the fierce competition?

the emergence of the "six little tigers" has also injected new vitality into the ai ​​market. although both the capital market and the ai ​​market are undergoing adjustments, the "six little tigers" are still exploring the path of ecological construction. they are trying to attract more users and cultivate good user habits by building a complete platform ecology.

however, domestic ai companies face greater challenges: large-model startups are troubled by the "demand" of the capital market and have to re-examine their own development direction.

with the development of science and technology and changes in market demand, the ai ​​field will usher in new opportunities and challenges, and the future will be an era of ecological construction.