Artificial Intelligence in Telecommunications 2025

Industry adoption2 The next 12-18 months will see the significant upscaling of AI-driven solutions across all functions of the telecommunications industry. As the telecommunications industry grapples with these challenges, the adoption of AI is rapidly accelerating, but with varying degrees of maturity across the sector. While most CSPs have built on their experience with traditional AI to explore the potential of genAI, in practice, use cases are in the proof-of-concept stage21 due to siloed data, legacy architectures and liability risks. This section examines both the current landscape of adoption and future possibilities. This exploration highlights key use cases (not an exhaustive list), which can serve as inspiration for CSPs to deliver against the four industry imperatives discussed in detail in the last section.1 Reduce cost to serve 2 Drive business growth 3 Differentiate customer experience 4 Secure and reliable operations Cross-industry “enterprise” use cases across functions such as finance, legal, human resources (HR), procurement and operations are acknowledged but not described in detail since they are not industry-specific. Artificial Intelligence in Telecommunications 10