In its latest research report, Sequoia Capital pointed out that generative AI technology has entered the second stage of development, which marks the shift from simple exploration of technical tools and applications to continuously creating actual value for users. This change not only reflects the maturity of technology, but also reflects the market's higher expectations for AI applications.
In the first stage of generative AI, technologies represented by language models have set off a wave of application innovation. However, although the application at this stage has attracted a lot of attention, the user stickiness is poor and it is difficult to form long-term usage habits. Sequoia Capital believes that the fundamental reason for this phenomenon is that generative AI fails to continuously prove its value, which leads users to gradually lose interest during use.
Entering the second stage, the development focus of generative AI will shift to solving the real needs of users. Sequoia Capital emphasized that the application at this stage needs to achieve a better fit with human needs in order to truly realize the value of technology. Excellent generative AI companies will design smoother user workflows to make AI output more in line with user requirements, thereby improving user experience.
From a technical and application perspective, generative AI is transforming from a universal model tool to a domain-specific solution. This transformation not only means further deepening of technology, but also indicates that generative AI will play its unique advantages in more vertical fields. Sequoia Capital's generative AI market map has also been adjusted accordingly based on this trend to better reflect the latest market trends.
Sequoia Capital's research report also pointed out that the future development of generative AI will pay more attention to the creation of user value. By deeply exploring user needs, generative AI will be able to provide more accurate and personalized solutions, thus standing out in the fierce market competition. This trend will not only promote the further development of generative AI technology, but will also bring users a richer application experience.
In general, the second phase of development of generative AI technology will pay more attention to the continuous creation of user value. By solving the real needs of users, generative AI will be able to achieve a better fit with human needs, thus occupying a more important position in the future market. Sequoia Capital's research report provides strong support for this trend and points out the direction for the future development of generative AI.