AI adoption accelerates and computing-capacity orders extend into 2028: the supports and constraints behind the tech rebound
A compilation by Cailian Press shows that enterprise AI has entered finance, auditing and manufacturing, while tight AWS capacity supports a positive assessment of the computing-power supply chain. The extent to which domestic suppliers benefit depends on specific products and deliveries, and the market’s rebound on higher volume coincided with a decline in the number of companies hitting new highs.
AI adoption and tight cloud capacity together support a positive assessment of the technology industry, but specific product deliveries and sustained buying support are needed to connect industry demand, supplier earnings and the share-price rebound.
Which business processes have adopted enterprise AI?
The applications listed in the materials have entered specific business processes. Yonyou Government Affairs Software’s Nüwa Tiangong AI platform has been used for fiscal asset data governance, asset reallocation and sharing, intelligent accounting entries, as well as enterprise audit and review, look-through supervision, and report data governance and analysis. The connecting points are financial data and review processes.
DigiwinSoft connects enterprise business data through ERP, MES and PLM, then connects physical equipment through AIoT and Nengyu Technology, creating a product architecture spanning a digital and intelligent foundation, intelligent agents and smart-factory AI. Its business logic is to connect enterprise data with equipment, providing a foundation for AI to enter manufacturing processes.
How does tight AWS capacity flow through to the computing-power supply chain?
According to media reports cited in the materials, Amazon’s CEO said AWS cloud computing capacity was effectively sold out through the end of 2027, with a large volume of orders extending into 2028. This time frame provides a basis for assessing medium-term demand and also shows that supply capacity is constraining demand expansion.
CICC analyst Chen Hao believes the fundamentals of strong AI demand and constrained supply remain unchanged and that there are no signs yet of a demand slowdown. Given the large gap between domestic and North American capital expenditure, he expects domestic demand for AI computing power to remain high for at least the next two years. His reasoning is that continued expansion in domestic investment will drive business and earnings for companies in the AI chain of the domestic communications and electronics industry.
At the supplier level, Zhitong Technology’s optical communications products, including MPO products, are already in mass production, and its production lines are running at full capacity. This is relatively specific production-side evidence in the materials. Demingli’s storage products are used in data centers, communications and other applications, but this describes application coverage and should not be treated as the same operational signal as full-capacity production.
Which data temper optimism about the high-volume rebound in tech stocks?
On 23 October, market turnover rose by 427.6 billion yuan from the previous trading day, and the number of companies with turnover above 1 billion yuan increased by 101 to 397. Among them, 169, 126 and 103 companies respectively belonged to the chip, robotics and AI themes, increases of 44, 42 and 33. This shows trading activity concentrating in technology and growth stocks; the theme counts should not be added together directly.
The breadth of price breakouts did not expand in step: the number of companies reaching a one-year high fell by 2 from the previous trading day to 12, while only 2 companies reached an all-time high. Trading activity recovered while the number of new highs contracted, indicating that broader participation in the rebound was not accompanied by more companies breaking above previous highs.
The materials also note that capital rotated quickly during the rebound and that the market remained in a volatile phase of competing positions. Medium-term industry prospects and the durability of the short-term rally therefore need to be assessed separately; the specific point to watch for the latter is whether trading volume in the leading sectors can continue to expand.
