en.Wedoany.com Reported - Artificial Intelligence is demonstrating its potential to impact telecom companies' revenue and operational efficiency, while also introducing new network and human capital requirements for the industry.
At the TELETIME Tec event in São Paulo, operators and telecom suppliers discussed this topic. Huawei ICT Marketing Director Carlos Roseiro noted that the intersection of telecom and AI involves three areas.
In terms of network requirements, one of the primary needs is a more powerful uplink data link. Roseiro stated that in current mobile networks, the ratio of uplink to downlink speed is 1:9, and Huawei expects this ratio to drop to 1:3 by 2028.
Regarding efficiency improvements, Huawei sees multiple potentials in operators' daily operations and is committed to "productizing" the use of AI, including through technical agents running on the supplier's network operating system.
Roseiro believes that agent AI is also part of new revenue paths, where telecom operators can act as agents within users' mobile phones. One possibility is allowing customers to define experience levels for specific applications through AI-supported management.
In the revenue domain, there is also the potential to replace the sale of transmitted bits with a token-based model to measure intelligent processing capacity. Roseiro stated that Chinese operators are already exploring this model, offering contracts billed by token count after investing in AI infrastructure with integrated connectivity.
In terms of data and talent, Nio Chief Data Officer Patrícia Pasquali emphasized that these are two major pillars for telecom operators' AI development. The company's internal strategy includes a data lake with Google as a partner, considered the brain of operational intelligence, with over 200 people using this resource to support business areas. Meanwhile, the operator has already trained approximately 400 employees in AI. According to Nio's Chief Data Officer, the importance of highly skilled AI professionals in the company's structure is increasing. In broadband operations, AI aids in customer retention and predictive management of devices such as Wi-Fi routers. Pasquali stated that by identifying patterns, details affecting service performance can be pinpointed.
In terms of modernization, Alares Chief Technology Officer Anderson Jacopetti emphasized that the company is gradually introducing AI into key processes such as customer service and network operations. This technology is also one of the driving factors for modernizing network infrastructure, helping providers meet stricter requirements. Jacopetti stated that the company is currently completing the modernization of the network core layer, with interfaces prepared to support 1.6 Tbps per channel. Prior to this, the company completed the modernization of the edge layer connected to major cloud providers and is now preparing to update the access layer to better absorb multiple devices.
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