The telecom industry’s efforts to drive efficiencies with AI are beginning to show fruit.
An increasing focus on deploying AI into radio access networks (RANs) was among the key findings of NVIDIA’s third annual “
State of AI in Telecommunications
” survey, as more than a third of respondents indicated they’re investing or planning to invest in AI-RAN. The survey polled more than 450 telecommunications professionals worldwide, revealing continued momentum for AI adoption — including growth in generative AI use cases — and how the technology is helping optimize customer experiences and increase employee productivity.
Of the telecommunications professionals surveyed, almost all stated that their company is actively deploying or assessing AI projects. Here are some top insights on impact and use cases:
84% said AI is helping to increase their company’s annual revenue
77% said AI helped reduce annual operating costs
60% said increased employee productivity was their biggest benefit from AI
44% said they’re investing in AI for customer experience optimization, which is the No. 1 area of investment for AI in telecommunications
40% said they’re deploying AI into their network planning and operations, including RAN
Business Impact on AI in Telecommunications
Survey results highlight that use of AI in the telecom industry has helped increase revenue and reduce costs. 84% of respondents said that the technology is helping increase their company’s annual revenue, with 21% saying that AI had contributed to a more than 10% revenue increase in specific business areas. In addition, 77% agreed that AI helped reduce annual operating costs.
The wide array of AI use cases and impact on the bottom line has led to greater confidence in the future: 80% of respondents believe that AI is crucial for their company’s future success, while two-thirds plan to increase spending on AI infrastructure this year.
The telecommunications industry is at the forefront of AI adoption, with a clear focus on enhancing employee productivity, customer experience and network operations. By continuing to invest in AI infrastructure and training, telecom companies can stay ahead of the curve and capitalize on the numerous benefits that AI offers.
AI Finds Its Way Into the Network Stack
AI in the telecommunications network is gaining momentum, with 37% of respondents saying they’re investing in AI to improve network planning and operations. Similarly, 33% said they invested in using AI for field-operations optimization in the last year.
Of the respondents investing in AI for 5G monetization and/or 6G research and development, 66% are aiming to deploy AI services on RAN for operational and user needs, 53% are aiming to enhance spectral efficiency for the RAN, and 50% are aiming to colocate AI and RAN applications on the same infrastructure.
Generative AI Goes Mainstream
Generative AI
is gaining significant attention in telecoms. More than half of survey respondents who said they’re using generative AI have already deployed their first use case, while another third plan to do so this year.
Of those respondents adopting generative AI, 84% said that their companies plan to offer generative AI solutions externally to customers. 52% said they would offer generative AI as a software-as-a-service solution, while 35% will offer generative AI as a platform for developers, including for compute services.
There’s also a notable trend toward using multiple approaches for AI development, including a rise in in-house and open-source capabilities.
Download the “
State of AI in Telecommunications: 2025 Trends
” report for in-depth results and insights.
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Categories:
Generative AI
Tags:
Artificial Intelligence
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Telecommunications
電信業使用人工智慧（AI）提高效率的努力已初見成效。
NVIDIA 第三次「
電信業 AI 現況（State of AI in Telecommunications）
」年度調查報告的其中一個主要發現，就是人們日漸重視將 AI 部署到無線存取網路技術（RAN）中，超過三分之一的受訪者表示正在投資或計劃投資 AI-RAN。這項調查訪問全球超過 450 位電信專業人士，結果顯示採用 AI 的趨勢持續成長，其中包括生成式 AI 用例的增加，以及這項技術如何協助最佳化客戶體驗和提高員工生產力。
在受訪的電信專業人士中，幾乎全員表示他們的公司正在積極部署或評估 AI 專案。以下是部分關於影響和用例的重要見解：
84% 表示 AI 有助於增加公司的年度營收
77% 表示 AI 有助於降低年度營運成本
60% 表示提高員工生產力是 AI 帶來的最大益處
44% 表示正在投資 AI 以最佳化客戶體驗，這是電信業在 AI 方面的首要投資領域
40% 表示正在將 AI 部署至網路規劃和營運，當中包括 RAN
AI
對電信業的商業影響
調查結果強調，電信業使用 AI 有助於增加收入和降低成本。84% 的受訪者表示，AI 技術有助於增加公司的年度營收，其中 21% 的受訪者表示，AI 對特定業務領域的營收增幅貢獻超過 10%。此外，77% 的受訪者同意 AI 有助於降低年度營運成本。
廣泛的 AI 用例以及對盈虧狀況的影響，讓受訪者對未來更具信心。80% 的受訪者認為 AI 對其公司未來的成功來說至關重要，而三分之二的受訪者則打算在今年增加 AI 基礎設施的支出。
電信業在採用 AI 方面領先，並明確專注於提高員工生產力、客戶體驗和網路營運上。透過持續投資 AI 基礎設施和培訓，電信業者可以維持領先地位，並且充分利用 AI 帶來的眾多優勢。
AI
進入網路堆疊
AI 在電信網路中的發展越來越蓬勃，37% 的受訪者表示正在投資 AI 以改善網路規劃和營運。同樣地，33% 的受訪者表示在去年投資使用 AI 來最佳化現場作業。
在為了 5G 變現及（或）6G 研發而投資 AI 的受訪者中，有 66% 的目標是在 RAN 上部署 AI 服務，以滿足營運及用戶需求，53% 的目標是在提升 RAN 的頻譜效率，有 50% 的受訪者目標是將 AI 及 RAN 應用部署在同一個基礎設施上。
生成式
AI
成為主流
生成式 AI
在電信領域正獲得顯著關注。半數以上表示正在使用生成式 AI 的受訪者已經部署了第一個用例，另有三分之一的受訪者計劃在今年這樣做。
在採用生成式 AI 的受訪者中，84% 表示他們的公司計劃對外提供生成式 AI 解決方案給客戶。52% 的受訪者表示，他們將以軟體即服務的方式提供生成式 AI 解決方案，而 35% 的受訪者則會以平台的方式提供生成式 AI 給開發人員，其中包括運算服務。
使用多種方法來開發 AI 也是一個顯著趨勢，包括提升內部和開源能力。
歡迎下載今年度的電信業 AI 現況調查報告「
State of AI in Telecommunications: 2025 Trends
」，以了解詳細調查結果與洞察。
探索 NVIDIA 適用於電信業的
AI
解決方案與企業級平台
Categories:
生成式人工智慧
Tags:
Artificial Intelligence
|
Telecommunications