Shanghai Stock Exchange is creating a new financial market for artificial intelligence

One of the most important markets of the future is expected to be the tokens, or markers, of large language models. Zamin.uz reported on this.

For this reason, the world's major financial groups are rushing to create a new infrastructure in this direction. In particular, China's Shanghai Futures Exchange is currently designing a derivatives market for artificial intelligence tokens.

Information on this matter is being widely covered by prestigious publications. This news was announced while other major global exchanges, including American exchange groups, are working on launching futures contracts for the rental of graphics processors.

Although the graphics processor market is still in its full formation stage, a stable market based on hourly rental prices has emerged due to the large number of companies selling and renting out video cards. This indicates that economic relations in the field are moving to a new stage.

According to analytical data, the average rental price of modern graphics processors is valued from one and a half to five dollars per hour, depending on their capacity and model. Although the market for these devices is developing rapidly, the infrastructure around tokens—the primary unit of measurement for modern artificial intelligence models—is not yet sufficient.

This is increasing the need for new financial instruments. Currently, major AI companies determine the price of their services specifically based on the number of tokens.

For example, separate payment rates have been introduced for every million input and output tokens for the most advanced models. Even the world's largest cloud systems are moving to a payment system for each token.

This means that a new unit of account has emerged in the digital economy. This initiative by the Shanghai Exchange coincides with an era of unprecedented investments being injected into artificial intelligence infrastructure.

The new derivative products will be directly linked to how AI companies price their services. This will allow investors and data center managers to protect themselves from sharp changes in computing power costs and manage their financial risks.

The implementation of such a system will serve to ensure stability in the technology market.