Deutsche Telekom is accelerating the deployment of artificial intelligence across mobile networks, customer service, software development and enterprise services, targeting around €2.5 billion in indirect cost savings by 2030 while building an AI business expected to generate approximately €800 million in revenue outside the U.S.
The German telecom operator outlined the financial impact of its AI strategy at its AI Investor Day in Bonn, demonstrating how automation is moving from individual trials into large-scale operational deployment.
Deutsche Telekom expects AI to contribute across three areas: new revenue, lower operating costs and improved network and customer-service quality.
The company also confirmed its existing financial guidance and medium-term targets.
Deutsche Telekom Targets €2.5 Billion in AI and Automation Savings
The largest financial impact is expected from operational efficiency.
Deutsche Telekom expects AI and automation to generate approximately €1.1 billion in gross savings outside the U.S. in 2027 compared with 2023.
By 2030, the company is targeting approximately €2.5 billion in indirect cost savings, also compared with the 2023 baseline.
The operator is applying AI particularly in areas involving large volumes of repetitive activities, including network operations, customer service, software development and administrative processes.
Part of the savings generated through automation will be reinvested in Deutsche Telekom’s digital transformation and network expansion.
In Germany, the operator expects AI and automation to generate around €100 million to €150 million of savings between 2023 and 2027 that can support a higher deployment rate for fiber connections.
This creates an important connection between Deutsche Telekom’s AI strategy and its telecom infrastructure investments: automation is intended not simply to reduce expenditure but also to free resources for network expansion.
AI Revenue to Rise to €800 Million by 2030
Deutsche Telekom also expects artificial intelligence to become a significant source of new revenue.
The company forecasts approximately €250 million in AI-related revenue from businesses outside the U.S. in 2026.
Its target is to increase this figure to around €800 million by 2030, representing an increase of €550 million from the 2026 level.
That implies AI-related business revenue would grow to more than three times its 2026 level within four years.
One major opportunity is sovereign AI infrastructure in Europe.
Companies and public-sector organizations increasingly want to deploy AI while maintaining control over sensitive information, infrastructure and data processing. Deutsche Telekom aims to address this requirement by combining its European network and data-center infrastructure with AI technologies from technology partners.
Its Industrial AI Cloud in Munich is part of this strategy, providing infrastructure where enterprises can run industrial simulations and AI-powered workloads.
Deutsche Telekom is also developing an AI platform aimed at small and medium-sized enterprises. The platform is intended to automate repetitive activities in areas including customer service and logistics.
RAN Guardian Agent Cuts Network Response Time to One Minute
Network operations represent another major area where Deutsche Telekom expects measurable benefits from AI.
The company’s RAN Guardian Agent monitors the radio access network and identifies potential capacity problems before they develop into serious service issues.
This can be particularly valuable during major events when large numbers of customers connect to mobile networks within a concentrated geographic area.
According to Deutsche Telekom, the AI system can identify impending network congestion and assist network management teams with appropriate countermeasures.
The operator says the response time for these situations has fallen from several hours to approximately one minute.
This demonstrates how telecom operators can use AI for more than back-office automation. AI agents are increasingly becoming part of network operations, analyzing traffic patterns and supporting decisions affecting network performance.
Earlier identification of traffic peaks can allow engineers to react before congestion has a significant impact on customers.
AI Helps Deutsche Telekom Reduce Customer Complaints by 30%
Customer service is another major focus of Deutsche Telekom’s automation strategy.
The operator says initial AI use cases associated with setting up new customer connections have resulted in a 30 percent reduction in complaints.
AI systems can identify potential problems during the connection process before they develop into customer-service cases.
During customer calls, AI can also provide service representatives with relevant information and automatically handle documentation, allowing employees to concentrate on resolving customer problems.
Deutsche Telekom’s Frag Magenta chatbot handled approximately 2.6 million customer-service calls during the first half of 2026 alone.
The scale of those interactions demonstrates how quickly generative AI and conversational automation are moving into mainstream telecom customer operations.
T-Mobile US Cuts Customer-Service Calls by 55%
Deutsche Telekom is also seeing significant AI adoption at its U.S. operations.
The number of customer-service calls in the U.S. has fallen by 55 percent, while AI agents now handle approximately 40 percent of customer contacts.
The figures provide an indication of the potential financial impact of AI when deployed across a telecom operator with millions of customers.
Reducing traditional service interactions can lower contact-center costs while allowing human employees to concentrate on more complex customer issues.
Deutsche Telekom’s broader objective is to take AI applications that have already demonstrated measurable results and deploy them across more parts of the group.
Magenta AI Assistant Creates New Consumer Revenue Opportunity
Deutsche Telekom is not limiting AI deployment to cost reduction.
Its Magenta AI Assistant is designed to bring artificial intelligence directly into mobile phone calls.
The service can translate conversations in real time, answer questions and summarize content without requiring customers to install an additional application or purchase a new device.
Deutsche Telekom sees these capabilities as an opportunity to introduce additional digital services and potentially create new mobile tariff options.
AI is also being integrated into customer marketing. The operator is using the technology within its Magenta Moments rewards program to improve the relevance of offers and customer targeting.
If consumers are willing to pay for AI-enhanced communications services, operators could develop a new revenue layer on top of traditional mobile connectivity.
More Than 100,000 Employees Trained in AI
Internal adoption is another important part of Deutsche Telekom’s strategy.
More than 100,000 employees have already received AI training.
Employees have access to tools including AskT, ChatGPT Enterprise and Microsoft Copilot through Deutsche Telekom’s “AI for All” initiative.
The objective is to redesign workflows so that AI performs more routine tasks while employees establish objectives, review outputs and retain responsibility for final decisions.
AI is also being deployed within software-development teams to assist with coding and the modernization or replacement of legacy IT systems.
For a large telecom operator, modernization of older IT environments can be particularly important because complex legacy systems can increase operating costs and slow the introduction of new digital services.
AI Moves From Experimentation to Telecom Operations
Deutsche Telekom’s targets indicate that AI is becoming a measurable component of telecom financial and operational strategy rather than remaining primarily an experimental technology.
The €2.5 billion cost-saving target for 2030 is particularly significant because it connects AI investment directly with operating expenditure. Meanwhile, the planned increase in AI-related business revenue from €250 million in 2026 to around €800 million in 2030 provides a separate growth opportunity.
Network performance provides another measurable benefit. Cutting the response time to potential mobile-network congestion from several hours to approximately one minute shows how AI agents can increasingly support real-time network management.
Customer operations are already producing similarly tangible results: 2.6 million interactions handled by Frag Magenta in six months, a 55 percent reduction in U.S. customer-service calls, AI agents handling 40 percent of U.S. customer contacts and a 30 percent decline in complaints in initial use cases.
For Deutsche Telekom, the next phase will be scaling these applications across the group while using some of the resulting savings to fund fiber, digital infrastructure and new services. If the operator reaches its 2030 targets, AI will have a direct impact on both sides of its financial model — reducing costs by billions of euros while creating hundreds of millions of euros in new revenue.