Another key bottleneck in AI development has surfaced — high-quality, highly reliable data is becoming the winner and loser of AI competition. This has also created opportunities for traditional content service providers such as publishing and news to transform into AI corpus vendors, and the commercial value of related companies is expected to be re-evaluated. Recently, the A-share AI corpus sector has strengthened, and stock prices such as Reader Culture, CITIC Publishing, Leo Shares, China Publishing, and Haitian Ruisheng have risen markedly. Currently, the shortage of high-quality corpus has become a core bottleneck limiting the development of large models of artificial intelligence. According to Epoch AI predictions, high-quality text data disclosed by humans may be completely exhausted between 2026 and 2032. In this context, high-quality and reliable data resources are becoming “scarce” resources, and their importance continues to rise. A number of people close to traditional content companies such as publishing houses and image copyright agencies revealed to reporters that domestic AI companies have also begun purchasing compliance data sets from traditional content agencies.

Another key bottleneck in AI development has surfaced — high-quality, highly reliable data is becoming the winner and loser of AI competition. This has also created opportunities for traditional content service providers such as publishing and news to transform into AI corpus vendors, and the commercial value of related companies is expected to be re-evaluated. Recently, the A-share AI corpus sector has strengthened, and stock prices such as Reader Culture, CITIC Publishing, Leo Shares, China Publishing, and Haitian Ruisheng have risen markedly. Currently, the shortage of high-quality corpus has become a core bottleneck limiting the development of large models of artificial intelligence. According to Epoch AI predictions, high-quality text data disclosed by humans may be completely exhausted between 2026 and 2032. In this context, high-quality and reliable data resources are becoming “scarce” resources, and their importance continues to rise. A number of people close to traditional content companies such as publishing houses and image copyright agencies revealed to reporters that domestic AI companies have also begun purchasing compliance data sets from traditional content agencies.