# Deutsche Telekom expects AI workloads to move closer to devices

> Deutsche Telekom says more AI tasks will move to devices and local networks to cut delays, requiring security and management to be spread out too.

- Type: AI news
- Page: https://completeaitraining.com/news/deutsche-telekom-expects-ai-workloads-to-move-closer-to/
- Published: 2026-10-15
- Updated: 2026-10-15
- Author: Jeroen Erne
- Jobs: IT and development, Management, Operations, Product development, Real estate and construction
- Reading time: 1 min

Deutsche Telekom expects more AI inference workloads to shift from centralized cloud environments toward edge networks and on-device processing. The move is driven by lower-latency requirements for robots and autonomous services that cannot tolerate the round-trip delays of distant data centers.

For IT and operations leaders, this distribution of AI workloads means security, observability and service-level management must also be distributed. Planning should account for these functions running across edge locations and devices, rather than assuming all AI processing will stay in a single, centralized environment.

*Source: [https://dailyaibrief.com](https://dailyaibrief.com/news/deutsche-telekom-ai-workloads-closer-to-devices-KUBxCEMf?ref=completeaitraining.com)*

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