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      Home»Entertainment/Communications»Deutsche Telekom Bets Big on AI to Slash Costs and Build New Revenue
      Entertainment/Communications

      Deutsche Telekom Bets Big on AI to Slash Costs and Build New Revenue

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      Deutsche Telekom is accelerating its embrace of artificial intelligence as a core business strategy, projecting that AI and automation could deliver roughly €2.5 billion in indirect cost savings by 2030 compared with 2023 levels while simultaneously creating new sources of revenue. The telecommunications giant expects approximately €1.1 billion in gross savings outside the United States by 2027 and aims to grow AI-related business revenue outside the U.S. from about €250 million in 2026 to roughly €800 million by 2030. AI is already being deployed across customer service, network management, software development and administrative operations, while new offerings—including real-time call translation, automated business services and Europe’s emerging sovereign-AI infrastructure—could turn the technology from an internal efficiency tool into a significant commercial product. The strategy represents a practical corporate approach to AI: automate repetitive work, improve infrastructure performance, reduce operating expenses and reinvest part of the resulting savings in digital modernization and Germany’s fiber network.

      Key Takeaways

      • Deutsche Telekom expects AI and automation to produce approximately €2.5 billion in indirect cost savings by 2030, demonstrating how quickly AI is moving from experimental technology into the operating structure of major corporations.
      • The company isn’t treating AI solely as a cost-cutting instrument. It expects AI-related business revenue outside the United States to rise from approximately €250 million in 2026 to €800 million by 2030, while developing consumer and enterprise AI services.
      • Automation is already reshaping labor-intensive operations. Deutsche Telekom says its customer-service chatbot handled approximately 2.6 million calls during the first half of 2026, while AI agents handle a substantial share of customer contacts in its U.S. operations, providing an early indication of how AI could fundamentally alter large corporate workforces.

      In-Depth

      Deutsche Telekom’s AI strategy offers a revealing glimpse of what corporate adoption of artificial intelligence may actually look like once the technology moves beyond experimentation. Rather than pursuing AI simply because it is fashionable, the telecommunications giant is attaching specific financial targets to automation: approximately €1.1 billion in gross savings outside the United States by 2027 and €2.5 billion in indirect cost savings by 2030 compared with 2023.

      The company is targeting precisely the areas where automation makes economic sense—customer service, network operations, software development and administrative functions dominated by repetitive work. Its Frag Magenta chatbot handled roughly 2.6 million customer-service calls during the first half of 2026 alone. AI is also being used to detect network congestion, assist employees, accelerate software development and modernize aging IT systems.

      But the larger strategy extends beyond eliminating costs. Deutsche Telekom expects AI-related business revenue outside the United States to grow from approximately €250 million this year to €800 million by 2030. Its Magenta AI Assistant can translate telephone conversations in real time, answer questions and summarize calls, potentially creating additional services and premium rate plans.

      Perhaps more consequential is the company’s investment in sovereign European AI infrastructure. Its Munich Industrial AI Cloud provides European businesses with high-performance computing while maintaining greater control over sensitive data and operations.

      The implications extend far beyond telecommunications. Deutsche Telekom is demonstrating the economic formula many large corporations are likely to pursue: automate repetitive labor, lower overhead, improve productivity and convert AI infrastructure into revenue-producing services. If those promised savings materialize, businesses that hesitate to automate could find themselves competing against companies operating with permanently lower cost structures.

      Sources

      • https://www.wsj.com/tech/ai/deutsche-telekom-bets-on-ai-to-cut-costs-boost-revenue-22a289b8
      • https://www.reuters.com/business/media-telecom/deutsche-telekom-sees-25-billion-savings-ai-automation-by-2030-2026-10-05/
      • https://www.telecoms.com/ai/deutsche-telekom-eyes-2-5-billion-in-savings-from-ai-to-provide-fibre-boost
      • https://telecomlead.com/5g/deutsche-telekom-targets-e2-5-billion-ai-cost-savings-by-2030-e800-million-in-ai-revenue-127992
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