Deutsche Telekom targets €2.5bn in AI-driven savings by 2030

Deutsche Telekom expects AI and automation to reduce the telecom group's indirect costs by about €2.5 billion by 2030 compared with 2023. Announced at the company's AI Investor Day in Bonn, the target covers customer service, network operations, software development, and administrative processes.

Financial targets and reinvestment

The company has also set a nearer-term goal of roughly €1.1 billion in gross savings from AI and automation outside the US by 2027, compared with 2023. Deutsche Telekom says part of those savings will be reinvested in digital transformation and fibre expansion in Germany, with €100 million to €150 million earmarked to support a faster fibre rollout.

These figures remain company targets rather than realised savings. Deutsche Telekom also expects AI-related business revenue outside the US to rise from about €250 million in 2026 to approximately €800 million by 2030.

AI in customer service and network operations

According to the company, its “Frag Magenta” chatbot handled about 2.6 million customer-service calls in the first half of 2026. At T-Mobile US, AI agents now cover 40% of customer contacts, while Deutsche Telekom says the number of service calls in that market has fallen by 55%.

AI tools can provide information to employees during calls, complete documentation, and identify problems while new customer connections are being set up. Deutsche Telekom claims early applications in connection setup have reduced complaints by 30%.

For mobile-network management, the RAN Guardian Agent is designed to spot impending pressure on the radio access network, including traffic surges around major events, and help teams respond. The company says response times for these events have fallen from several hours to about one minute.

Infrastructure and workforce adoption

More than 100,000 employees have received training through the “AI for All” programme, with access to tools including AskT, ChatGPT Enterprise, and Microsoft Copilot. Under the company's stated approach, employees must define objectives, review generated outputs, and retain responsibility for decisions.

Deutsche Telekom is also investing in an Industrial AI Cloud in Munich for industrial simulations and AI workloads, alongside a platform intended to automate recurring tasks for small and medium-sized businesses. The value of these plans will ultimately depend on whether the announced savings, service improvements, and data-control commitments are realised in practice.