Updated:
Deutsche Telekom said on Monday, October 5, it expects artificial intelligence and automation to reduce its indirect costs by about €2.5 billion by 2030, measured against 2023. The Bonn-based telecom group announced the target at an AI-focused investor day, linking internal efficiency gains with its plans to expand fibre infrastructure and develop paid AI services.
The company also expects revenue from AI-related services sold to business customers outside the United States to reach about €800 million by 2030, compared with roughly €250 million forecast for 2026. Deutsche Telekom reaffirmed its existing financial outlook and medium-term targets, according to Reuters.
Savings target builds on an earlier milestone
For 2027, Deutsche Telekom estimates that AI and automation will generate around €1.1 billion in gross savings outside the United States compared with 2023. The company has said some of those savings will be directed toward digital upgrades and expansion of Germany’s fibre-optic network.
The 2030 figure concerns indirect costs and is a company target, not a reported saving already achieved. The announcement did not provide a breakdown of the €2.5 billion by business unit, individual AI project or year, so the pace of savings between the 2027 milestone and 2030 remains unspecified.
AI is being applied across operations
Deutsche Telekom says it uses AI in network operations, customer service, software development and administrative processes, particularly where work involves large volumes of recurring tasks. The company has described tools that can identify periods of high mobile-network traffic earlier and assist customer-service staff in resolving inquiries.
Its customer-service figures offer examples of current deployment. The company’s “Frag Magenta” chatbot handled about 2.6 million customer-service interactions in the first half of 2026, while in the United States customer-service calls have fallen 55% and AI agents now handle about 40% of customer contacts, according to the company data reported by Investing.com.
Those operating measures illustrate uses of the technology but do not, by themselves, establish how much of the projected group-wide cost reduction has been realized. Deutsche Telekom did not disclose in the available announcement a separate financial contribution from chatbots, automated network management or software-development tools.
Commercial AI is a separate growth objective
The company’s revenue target is distinct from its savings goal. Deutsche Telekom is seeking to sell AI-related services to businesses outside the United States, including offerings for organizations that want to keep sensitive data under their control. The company has pointed to its Industrial AI Cloud in Munich as infrastructure for industrial simulations and AI-supported processes.
Deutsche Telekom has also discussed tools for small and medium-sized businesses to automate tasks such as customer service and logistics. The company did not give a detailed product-by-product revenue forecast alongside the €800 million target, leaving the expected contribution of particular services unclear.
Investor day and what comes next
The October 5 event in Bonn was organized to present the company’s AI strategy to investors. Deutsche Telekom’s published agenda included sessions on network operations, customer interactions, enterprise services and T-Mobile US, followed by a financial presentation on unlocking value from AI and a question-and-answer session.
The company’s next scheduled financial update is its third-quarter 2026 results, due on November 5, according to its investor-relations calendar. That reporting may provide a further opportunity to track operating performance, but the materials available for Monday’s announcement do not set out interim milestones for the €2.5 billion target beyond the 2027 estimate.
