84% of telecom giants increase profits thanks to AI: NVIDIA survey

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Artificial intelligence is becoming a key driver of telecommunications industry development, showing impressive results in improving business efficiency. According to NVIDIA’s third annual “State of AI in Telecommunications” study, almost all surveyed telecommunications companies are either already implementing or actively exploring the possibilities of AI technology application.

The large-scale study, covering more than 450 telecom industry professionals worldwide, revealed significant growth in the adoption of artificial intelligence technologies, including generative AI. Special attention is paid to AI integration in radio networks (RAN) – more than a third of respondents reported investments or plans to invest in AI-RAN technologies.

The financial indicators are impressive: 84% of surveyed companies noted an increase in annual revenue due to AI implementation, with 21% of respondents reporting revenue growth of more than 10% in certain business areas. Simultaneously, 77% of study participants confirmed a reduction in operating expenses after implementing AI solutions.

Priority areas for AI investments were customer experience optimization (44% of respondents) and network planning and operations, including RAN (40%). The most significant advantage of AI implementation was cited by 60% of respondents as increased employee productivity.

“The study demonstrates that artificial intelligence has ceased to be an experimental technology and has become a real tool for improving telecommunications business efficiency,” – notes the NVIDIA report. The survey results confirm that the telecommunications industry is on the verge of a large-scale technological transformation, where AI plays a key role in process optimization, improving customer experience, and increasing operational efficiency.

Experts predict further growth in AI technology investments in the telecommunications sector, especially in the direction of smart network development and customer service automation.

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