Consulting agency Gartner recently released the 2026 China Data, Analysis and Artificial Intelligence Technology Maturity Curve. Fang Qi, senior research director at Gartner, said that the curve can be divided into four major technology clusters. These four major technology clusters show a certain trend: “Proxy AI technology surpasses generative AI, reaches the expected expansion period and becomes the primary focus of enterprises; generative AI slides to a low point of bubble bursting, and corporate expectations tend to be rational, emphasizing the achievement of verifiable business value; physical AI is rapidly emerging and receiving public attention, and is expected to become an important driving force for the next round of innovation; the success of AI programs is increasingly dependent on sound basic capacity building, including data readiness and governance Mechanisms, safety fences, and engineering capabilities. The importance of these supporting environmental foundations has surpassed AI model technology itself.” Fang Qi also pointed out that according to observations, front-line deployment engineers and context engineers currently have the two most enthusiastic customer discussions.

Consulting agency Gartner recently released the 2026 China Data, Analysis and Artificial Intelligence Technology Maturity Curve. Fang Qi, senior research director at Gartner, said that the curve can be divided into four major technology clusters. These four major technology clusters show a certain trend: “Proxy AI technology surpasses generative AI, reaches the expected expansion period and becomes the primary focus of enterprises; generative AI slides to a low point of bubble bursting, and corporate expectations tend to be rational, emphasizing the achievement of verifiable business value; physical AI is rapidly emerging and receiving public attention, and is expected to become an important driving force for the next round of innovation; the success of AI programs is increasingly dependent on sound basic capacity building, including data readiness and governance Mechanisms, safety fences, and engineering capabilities. The importance of these supporting environmental foundations has surpassed AI model technology itself.” Fang Qi also pointed out that according to observations, front-line deployment engineers and context engineers currently have the two most enthusiastic customer discussions.