Recently, online rumors about huge marketing investments for many AI products have been rampant, with data from Tongyi Qianwen, a subsidiary of Alibaba, becoming the focus. The editor of Downcodes will sort out the whole incident for you and analyze the market competition situation reflected behind it.
Tongyi AI, a subsidiary of Alibaba, publicly clarified the recently circulated AI product marketing data on the Internet through its official Weibo. Data previously circulated on the Internet showed that the launch costs of many AI products in the third quarter were as high as 100 million yuan, and the specific launch data, including Tongyi Qianwen, attracted widespread attention.
According to Tongyi AI’s official response, the data reported online that Tongyi Qianwen launched 4.5 million in the third quarter and 900,000 in the first 20 days of October are seriously inconsistent with the actual situation. The official made it clear that the actual delivery cost was much lower than the figures transmitted online, but did not disclose the actual delivery amount.
At the same time, online news also mentioned the launch data of other AI products, such as kimi’s launch of 150 million in the third quarter and 110 million in the first 20 days of October, and Quark’s launch of 190 million in the third quarter and 40 million in the first 20 days of October. The authenticity of these data also deserves further verification.
This rumor refuting incident has triggered the industry's attention on the marketing investment of AI products, and also reflects the current market's high concern for the competitive situation of AI products. In the fierce market competition, the marketing strategies and investment efforts of various AI companies have become the focus of market attention, but the accuracy of relevant information urgently needs to be verified.
Tongyi AI’s public response not only clarifies false information, but also provides the industry with thinking: in an increasingly competitive AI market, transparent information disclosure and credible data sources are crucial. In the future, how to balance marketing investment and real effects will become an important topic that AI companies need to continue to pay attention to and explore.