Deutsche Telekom has put hard numbers on what it expects artificial intelligence to do for its finances. At an AI Investor Day in Bonn on 5 October, the group said AI and automation should lower its indirect costs by about €2.5 billion by 2030, measured against 2023. A nearer-term goal calls for roughly €1.1 billion in gross savings outside the United States by 2027.
Where the savings are meant to come from
The company is aiming at work that involves a lot of repetition: network operations, customer service, software development and back-office administration. Part of what it saves by 2027 will not simply drop to the bottom line. Telekom plans to plough between €100 million and €150 million of the 2023–2027 savings into faster fibre rollout in Germany, alongside wider digital transformation spending.
Early results from customer service and networks
Telekom pointed to several results already in production:
- Its “Frag Magenta” chatbot took about 2.6 million customer calls in the first half of 2026.
- At T-Mobile US, AI agents now deal with 40 percent of customer contacts, and the number of service calls there has dropped by 55 percent.
- AI tools that spot problems while new connections are being set up have cut complaints by 30 percent in early use cases.
- A system called the RAN Guardian Agent watches the mobile radio network for signs of strain, such as a surge from a big event, and helps engineers respond. Reaction times have fallen from several hours to about a minute.
People and tools
More than 100,000 employees have been through the company’s “AI for All” training. Staff can use in-house and third-party assistants, including AskT, ChatGPT Enterprise and Microsoft Copilot. Telekom stresses that employees remain accountable: they set the goals, review what the AI produces and own the final decision.
Growing revenue, not only cutting costs
The investor event was not just about efficiency. Telekom expects about €250 million in AI-related business revenue outside the US in 2026 and wants that to climb to roughly €800 million by 2030. The plan leans on three products:
- Industrial AI Cloud (Munich): sovereign infrastructure for industrial simulations and AI workloads, so European firms and public bodies keep control of their data.
- An AI platform for small and mid-sized businesses: automation for recurring jobs such as customer service and logistics.
- Magenta AI Assistant: a consumer service that can translate phone calls in real time and answer questions without a separate app or device, which Telekom sees as a basis for new tariffs.
Why it matters
Few large companies publish dated savings targets for AI, and fewer still tie them to named systems and measured results. Telekom’s CEO Tim Höttges described the approach as taking what works in individual applications and spreading it across the whole group. Whether the 2030 figures hold will depend on how well those pilots scale, so the 2027 milestone is the first real checkpoint.
Source: reporting by AI News (artificialintelligence-news.com), 6 October 2026, based on Deutsche Telekom’s AI Investor Day. Figures are company targets and reported results.