China Telecom has revealed its financial result and key achievements that include its AI deployment strategy during the first half of 2024.
China Telecom’s revenues rose 2.8 percent to RMB268 billion in the first-half. Net profit of China Telecom increased 8.2 percent to RMB21.8 billion.
Service revenue of China Telecom rose 4.3 percent to RMB246.2 billion. Mobile communications service revenues rose 3.6 percent to RMB105.2 billion. Revenues from mobile value-added and applications surged 17.1 percent to RMB18.1 billion.
Capex
Capital expenditure of China Telecom was RMB47.2 billion.
China Telecom has spent 39 percent of its Capex on Mobile Network; 34 percent on Industrial Digitalisation; 15 percent on Broadband Network and 12 percent on Operating Systems & Infrastructure. China Telecom says residential Gbps coverage in cities/towns reached 94 percent.
China Telecom said it added >100,000 5G co-build co-share base stations in the first-half, reaching >1.31 million at the end of June. The number of co-shared 4G base stations has reached >2 million. Low band base stations have reached 790,000.
The number of 10G PON ports of Gigabit fibre network exceeded 9 million, with a coverage of 94 percent of residential areas in cities and towns. China Telecom carried out the deployment of 50G PON network to support the demands for 10-Gigabit access in locations such as key subdistricts, industrial parks and factories.
ARPU
China Telecom added 9.08 million mobile subscribers. China Telecom has 417 million mobile subscribers at the end of June 2024.
Mobile ARPU of China Telecom has reached RMB46.3 during April-June. China Telecom’s Wireline and Smart Family service revenues rose 3.2 percent to RMB64 billion. Smart Family business revenue surged 14.4 percent to RMB10.7 billion.
China Telecom says the number of broadband subscribers reached 193 million. China Telecom has added 3.19 million broadband subscribers.
Broadband ARPU of China Telecom reached RMB48.3.
Revenues from Industrial Digitalisation rose 7.2 percent to RMB73.7 billion, accounting for 30 percent of service revenues. Revenue from China Telecom Cloud grew 20.4 percent to RMB55.2 billion.
AI
China Telecom has accelerated the integration of new elements such as cloud, artificial intelligence (AI), quantum and satellite into standard products, to further enhance product capabilities, business value and service level.
China Telecom has implemented “AI+” and completed the overall AI deployment of “1+1+1+M+N”12 with “Xingchen” as the brand.
China Telecom strengthened the integration and promotion of capabilities in various fields, enriched the Xingchen large model series product portfolio, empowered the intelligent transformation for thousands of industries, and supported enterprises to achieve costs reduction and efficiency enhancement.
China Telecom said “Xirang”, the leading integrated intelligent computing service capabilities, has the access of a total of 22 EFLOPS13 of various types of intelligent computing power from 39 partners. The large language model, large speech model and large multimodal model of Xingchen series have all completed “dual recordation” of algorithms and services. China Telecom has launched 32 large vertical models in fields such as industrial, education, healthcare, as well as government administration, empowering 370 2B projects.
China Telecom also launched 10 internal large models for customer service, network operations, office administration and other corporate operation segments.
China Telecom launched the “Data Chain AI Network (DCAN)” capability system, and created high-quality data sets that aggregate data from fields such as public, industry and internet. China Telecom created Xinghai data intelligent core platform which empowered more than 150 projects for government and enterprise customers.
China Telecom also upgraded Lingze 2.0 data elements platform to serve public data operation and the construction of data infrastructure in 22 provinces and cities. The number of partners of data product supermarket model exceeded 1,300, with the number of data products exceeding 2,000.
Baburajan Kizhakedath
