Deutsche Telekom
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Deutsche Telekom (DTE) investor relations material

Deutsche Telekom Investor Day 2026 summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Investor Day 2026 summary5 Oct, 2026

AI strategy and operating model

  • AI is moving from adoption to enterprise redesign across workflows, teams, networks and customer products, while remaining a human-led, customer-focused enabler.

  • Priorities include data and AI, global scale, sovereign cloud, individualized services and workflow efficiency; partner-led, switchable models aim to control lock-in and costs.

  • Shared platforms support secure AI deployment, with business owners accountable for adoption, workforce impact and ROI; people retain responsibility for decisions.

  • Employee AI use reached 83%; more than 250,000 enablements have been delivered since 2023, and 80% of surveyed employees report substantial productivity improvements.

Financial outlook

  • 2027 AI and automation gross savings target rises to ~€1.1bn from ~€0.8bn at CMD 2024; formal guidance remains unchanged during the scaling phase.

  • 2030 gross savings target is ~€2.5bn, equivalent to ~15% of 2023 indirect costs; 2026 and 2027 milestones are ~4% and ~6%.

  • 2030 functional savings targets vs. 2023 are 10–15% in Network, 15–20% in IT, 20–30% in Sales & Service and ~10% in G&A/other, excluding token costs.

  • AI-related revenue outside the U.S. is targeted at ~€250m in 2026 and ~€800m by 2030; broader new AI value pools are targeted to exceed €1bn in 2030.

  • Savings are expected to support digital transformation and fiber expansion; AI targets 1–1.5% aggregate B2C growth by 2030, split evenly between lower churn and upsell.

Network transformation

  • 2030 ambitions include Level 4 autonomy for high-value use cases, human intervention by exception, mobile CXI above 4 for over 90% of customers and 10–15% network savings.

  • RAN Guardian expanded event coverage from 1,000 to 100,000, with >95% faster execution and >24mn customer minutes protected from congestion.

  • MINDR combines diagnostics, remediation and learning; it targets automatic handling of 90% of tickets, issue qualification in under 15 minutes and resolution within an hour.

  • MINDR’s first German use case is planned as a year-end MVP, with broader rollout across Germany and other markets next year.

  • Fiber efficiencies of €100m–€150m are in next year’s plans; with a similar CapEx envelope, over 3x as many customers are connected as three years ago.

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