An interview with Li Xiaotong, Vice President of ZTE Corporation
In the rapidly evolving landscape of telecommunications, we stand at the threshold of a transformative era where artificial intelligence and 5G-Advanced technologies are converging to reshape the very foundation of network infrastructure. As the industry...
The global digitalization process has accelerated significantly, driven by the computing power revolution. Within this transformation, cloud computing and artificial intelligence (AI) have evolved from being optional technologies for enterprises to becoming the core engines of digital transformation. According to forecasts by statistical agencies,...
Embedding AI in the PHY layer gives the telco ecosystem new tools for efficiency, spectrum use, and performance — and lays the groundwork for 6G’s AI-native vision
5G promised speed and capacity, but delivering on that promise has created new challenges: dense deployments, energy demands,...
As industries worldwide rush to embrace digital and intelligent transformation, Huawei Cloud consistently pursues technological innovation as its core driving force. This was the case at Huawei Connect 2025, Zhang Ping'an, Huawei's Executive Director of the Board and CEO of Huawei Cloud, shared Huawei...
Gen AI is shifting the battleground from infrastructure to intelligence, where MVNOs are already experimenting faster than traditional MNOs
Speed used to be an advantage for telcos. Now it’s a survival trait. In an industry where margins are tight and customer loyalty is often fleeting,...
AI chats being publicly searchable. People falling in love with customer service bots. The risks of generative AI threaten the rewards — but trust might be a competitive edge.
As AI adoption escalates and enterprises weigh where to put their investment dollars, some of the risks...
Instead of simply carrying packets from one endpoint to another, a Neighborhood AI Factory is also running inference and training between humans and AI
You’ve probably driven past one without realizing it. A low, windowless brick building next to a cell tower or up on...
What you should know:
The convergence of advanced wireless, AI, XR and computing technologies is transforming how we interact with the digital world, enabling more intuitive and immersive experiences and services.
6G is the wireless innovation platform for the next decade and beyond, and it's being...
The Gen AI Divide report from the MIT NANDA initiative reveals a major lack of ROI on gen AI projects
A recent report from the Massachusetts Institute of Technology (MIT)'s Networked Agents and Decentralized AI (NANDA) put forward some numbers that threw cold water on...
SoftBank said that the demonstration results show that high-performance AI models and GPUs are indispensable for achieving 5G-Advanced and 6G performance
In sum – what to know:
30% boost in 5G throughput – Transformer-based AI improved real-world uplink performance compared to conventional methods, showing stronger results...
AI adoption in telecom is accelerating, with telcos moving from experimentation to real-world deployments. The focus is now on refining AI use cases, growing business strategies and unlocking real ROI.
RCR Wireless News' latest market pulse report explores the latest innovation in AI, from agentic AI...
Telcos face both a challenge and an opportunity in handling the unique traffic patterns and demands of AI-generated content, especially at the network edge.
In sum – what to know:
Traffic challenge – uncached, on-the-fly AI content strains networks and bypasses CDN efficiencies, requiring new edge...
Telcos are seizing the AI moment by transforming old infrastructure into edge assets and positioning themselves as critical players in the AI value chain.
In sum – what to know:
Edge opportunity – telco assets like metro hubs and co/lo sites can host lightweight AI workloads,...
The rise of smaller, cheaper AI models is pushing AI closer to the edge, but telcos must weigh placement and ROI carefully amid escalating infrastructure investments just to make AI networks capable.
Edge efficiency – smaller models and edge deployments reduce energy use and enable...
SK Telecom said AX 3.1 Lite offers Korean language capabilities on par with its larger sibling, AX 4.0 Lite, which has 72 billion parameters
In sum – what to know:
SKT goes open source – SK Telecom released AX 3.1 Lite, a mobile-friendly Korean LLM, to...
The mobile communication industry stands at the threshold of profound transformation, driven by the rapid evolution of artificial intelligence (AI). The widespread adoption of open-source AI large models, such as DeepSeek, is making powerful capabilities accessible to more people, while the rise of AI...
Agentic AI success in telecom depends on the availability of meticulously curated, multi-domain data derived from network transactions and interactions
Agentic AI tops many telecom providers’ strategic objectives for 2025. Recognizing its potential, some providers are already investing in AI agents to enhance customer care....
Agentic AI gets closer to proper autonomy, but its success depends on the combination of large-scale centralized intelligence and highly-tuned small-scale models in distributed edge environments.
Dynamic reasoning – current agentic AI models lack proper dynamic reasoning and rely on hard-coded logic and domain-specific scripts.
Hybrid...
As 5G and AI continue to transform the telecommunications landscape, ZTE has rolled out solutions to build an L4 autonomous network powered by AI. With a focus on four key areas and six innovative projects, this collaboration is set to revolutionize broadband operations by...
Human-in-the-loop control is urgent as AI is unleashed on ever-more critical systems – and as it becomes more sophisticated with multi-modal generative AI and distributed agentic AI.
Human oversight – remains critical in AI telecom infrastructure, ensuring ethical compliance, reducing risk, and refining AI models...
From call centres to back-office systems, telcos are navigating the shift from predictive machine learning to generative AI, balancing innovation with caution in critical environments.
Model adoption – there are three phases of model adoption: from third-party tools, to on-prem solutions, to hybrid models with...
AI is transforming telecom operations – from slashing customer resolution times to orchestrating real-time energy savings, reshaping both service delivery and network management.
In sum – what to know:
Auto systems – ML efficiency tools are evolving into semi-autonomous systems to resolve service issues and automate...
AI isn’t just reshaping data centers — it’s transforming the very networks we rely on at home and work. Amidst the massive investment in Artificial Intelligence (AI) infrastructure, it’s becoming increasingly clear how important this technology will be for delivering new services, optimizing processes,...
For telcos, the surest AI wins come in their operational heartlands – streamlining customer care, enhancing enterprise services, and turning network data into actionable insights.
System support – AI in telecom has primarily advanced in low-risk OSS/BSS, focusing on customer care and network optimization.
Operator models...
