{"id":8254,"date":"2024-11-11T20:58:40","date_gmt":"2024-11-11T20:58:40","guid":{"rendered":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/?page_id=8254"},"modified":"2025-08-05T07:17:44","modified_gmt":"2025-08-05T07:17:44","slug":"ai-use-case-library","status":"publish","type":"page","link":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/ai-use-case-library\/","title":{"rendered":"Welcome to the AI Use Case Library"},"content":{"rendered":"\n
\n
\"A<\/span>
\n

AI Use Case Library<\/h1>\n\n\n\n

The AI Use Case Library showcases proven AI deployments throughout the industry from across the globe<\/p>\n\n\n\n

Browse library<\/a><\/div>\n\n\n\n
<\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n

The GSMA AI Use Case Library is a trusted resource for operators and their technology partners. Each entry shows how artificial intelligence delivers measurable results in live networks and services.<\/p>\n\n\n\n

The AI Use Case Library features AI deployments that improve mobile networks, automate processes, and enhance customer experience. Operators, technology providers, and researchers contribute real projects. These examples show how AI use cases in telecoms move from early pilots to full production. They also give decision\u2011makers clear evidence of what works and what does not.<\/p>\n\n\n\n

\n
Submit your use case<\/a><\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n
<\/div>\n\n\n\n

Explore the AI Use Case Library<\/h2>\n\n\n
<\/div>\n\n\n\n

Why use the AI Use Case library?<\/h2>\n\n\n\n

The industry is moving quickly to embed AI across networks, operations, and customer channels. Data from GSMA Intelligence<\/a> (GSMAi) suggests 81% of operators globally are already testing generative AI solutions.<\/strong> Most plan to deploy them in network operations and customer contact centres within the next 12 months. This rapid rollout is reshaping how networks run and how customers interact with their providers. It also shows a shared belief that AI is no longer experimental but a core tool for strategy and growth.<\/p>\n\n\n\n

Live AI deployments already are proving its worth in telecom operations. <\/strong>GSMAi reports that energy accounts for 15\u201320% of a typical telco\u2019s operational spend. AI\u2011driven optimisations in RAN sleep states and cooling can deliver significant gains. A 20% reduction in energy use can provide up to 4% opex savings. These savings show how quickly AI can create value beyond customer\u2011facing use cases.<\/p>\n\n\n\n

The AI Use Case Library explains the problem, the solution, and the results for each entry. Because the GSMA Foundry curates the content, every use case is validated and directly relevant to industry challenges. It is updated regularly, making it a living resource that grows with the market.<\/p>\n\n\n\n

<\/div>\n\n\n\n

The library shows what peers across the world have tried, what delivered real value, and where AI is already shaping networks and services. Use it to guide planning, sharpen investment decisions, and see how others are turning AI from a concept into results. If you’d like to contribute, and share your AI use case, you can apply to do so below.<\/p>\n\n\n\n

Share your AI use cases<\/h2>\n\n\n\n

If you’d like to contribute, and share your AI use case, you can apply to do so by submitting your details below.<\/p>\n\n\n