Artificial intelligence is becoming a major financial driver for Deutsche Telekom, which plans to save €2.5 billion through AI and automation by 2030. The German telecommunications giant is expanding AI across its operations, from customer service and mobile network management to software development and business administration.
Announced at the company’s AI Investor Day in Bonn on October 5, 2026, the target reflects a broader shift in how telecom operators use artificial intelligence to reduce operating costs, improve service delivery, and develop new revenue streams.
Deutsche Telekom is also targeting €1.1 billion in gross savings from AI and automation outside the United States by 2027, compared with 2023. Rather than treating AI as a standalone technology experiment, the company is integrating it into everyday business processes where automation can deliver measurable results.
From AI Experiments to Billions in Telecom Savings
For Deutsche Telekom, the next phase of AI adoption is about turning technological capabilities into financial results.
The company expects AI and automation to reduce indirect costs across departments handling repetitive and time-consuming tasks. These include customer support, network operations, software engineering, and administrative work.
Part of the expected savings will be redirected toward Germany’s digital infrastructure. Deutsche Telekom plans to use €100 million to €150 million in AI and automation savings generated between 2023 and 2027 to accelerate fibre-optic network deployment.
This creates a two-sided strategy: automation helps control operating expenses, while the resulting financial flexibility supports investment in infrastructure that can strengthen the company’s long-term competitiveness.
The company is also exploring AI applications across residential services, industrial technology, network planning, and network optimisation.
Millions of Customer Interactions Are Moving to AI
Customer service is already providing a clear example of how Deutsche Telekom is putting AI to work at scale.
Its “Frag Magenta” chatbot handled around 2.6 million customer service calls during the first half of 2026. In the United States, T-Mobile US uses AI agents to manage 40% of customer contacts, while Deutsche Telekom reported a 55% decline in customer service calls in that market.
The company is also using AI to assist human employees rather than relying exclusively on automated conversations. AI tools can retrieve relevant information during customer calls, prepare documentation, and identify potential problems when new connections are being installed.
According to Deutsche Telekom, AI applications used during new-connection setup have reduced complaints by 30%. Detecting technical or procedural issues earlier can help prevent minor problems from becoming frustrating customer experiences.
For telecom providers dealing with millions of interactions, these applications could make customer support faster, more consistent, and less expensive to operate.
AI Cuts Network Response Times From Hours to One Minute
Beyond customer service, Deutsche Telekom is applying AI to one of the industry’s most demanding challenges: keeping mobile networks reliable as traffic fluctuates.
Its RAN Guardian Agent is designed to identify potential pressure on the radio access network before demand creates more serious operational problems. For example, large concerts, sporting events, and other gatherings can produce sudden increases in mobile traffic that require rapid intervention.
The AI system helps network teams recognise emerging pressure and determine appropriate countermeasures. Deutsche Telekom said response times for these situations have fallen from several hours to approximately one minute.
This improvement highlights the potential of AI-powered network management to move telecom operations toward faster, more proactive decision-making.
The company is also using AI in software development and the modernisation of older IT systems, extending automation into the technical infrastructure that supports its services.
100,000 Employees Join Deutsche Telekom’s AI Transformation
Scaling AI across a telecommunications group requires more than deploying software. Employees must also understand how to use the technology effectively.
Through its “AI for All” programme, Deutsche Telekom has trained more than 100,000 employees to work with AI tools, including AskT, ChatGPT Enterprise, and Microsoft Copilot.
The company expects employees to define clear objectives, assess AI-generated results, and remain responsible for their decisions. This approach places human oversight alongside automation as AI becomes more deeply embedded in daily workflows.
By combining employee training with practical AI applications, Deutsche Telekom aims to extend productivity improvements beyond specialised technology teams and into departments throughout the organisation.
Deutsche Telekom Wants to Turn AI Into an €800 Million Business
Cost savings represent only one part of Deutsche Telekom’s AI ambitions. The company is also seeking to build a larger commercial business around artificial intelligence.
It expects approximately €250 million in AI-related business revenue outside the United States in 2026, with a target of around €800 million by 2030.
One potential growth area is sovereign AI infrastructure for European companies and public institutions. Its Industrial AI Cloud in Munich is designed to support industrial simulations and AI workloads while helping customers retain control over their data and operations.
Deutsche Telekom is also developing an AI platform for small and medium-sized enterprises. The platform aims to automate recurring business activities, particularly in customer service and logistics, where repetitive processes can consume significant employee time.
Meanwhile, the Magenta AI Assistant is designed to bring AI-powered services directly into users’ mobile experiences. Its capabilities include real-time translation of mobile conversations, answering questions, and summarising information without requiring a separate application or device.
These initiatives could help Deutsche Telekom expand beyond traditional connectivity services and capture more value from the growing demand for enterprise AI solutions.
Can Deutsche Telekom Turn AI Ambitions Into Long-Term Growth?
Deutsche Telekom CEO Tim Höttges sees artificial intelligence as a force reshaping the company’s networks, customer experience, and commercial opportunities.
“AI is fundamentally transforming Deutsche Telekom. It makes our networks even better and smarter, our service more personalised, and opens up new business models,” Höttges said.
The company’s next challenge is to expand successful AI applications across the wider organisation while ensuring that promised savings translate into measurable financial benefits.
“We’re just getting started. We want to roll out across the entire company what’s working today in individual applications,” Höttges added.
The targets are ambitious: €2.5 billion in AI-driven savings by 2030 and approximately €800 million in AI-related business revenue outside the United States. Together, they illustrate Deutsche Telekom’s plan to use artificial intelligence not simply to automate existing tasks, but to reshape how a major telecommunications business operates and generates revenue.
Whether the company reaches those goals will depend on its ability to scale AI responsibly, maintain reliable customer services, and turn technological improvements into sustainable business performance.