• New sovereign AI platform aims to modernise network operations and keep sensitive data within New Zealand jurisdiction.
• Project highlights broader push for local cloud and AI infrastructures amid global data-sovereignty concerns.
What happened: A purpose-built AI cloud platform for telecoms
New Zealand telecommunications operator 2degrees has announced a strategic collaboration with Hewlett Packard Enterprise (HPE) to build a sovereign AI cloud platform that keeps critical customer and operational data on-shore in New Zealand, rather than storing it in overseas data centres.
The platform will be built using HPE Private Cloud AI, co-developed with NVIDIA as part of NVIDIA AI Computing by HPE, and deployed as an on-premise “turnkey AI factory.” It is intended to modernise 2degrees’ technology environment, optimise network operations and reduce downtimes by applying AI-driven analytics directly within the operator’s own infrastructure.
Initial use cases include autonomous network operations, predictive maintenance and AI-powered capacity planning — all targeted at improving network reliability and performance for customers. HPE says the system’s architecture will also help to shorten internal development cycles and speed up the rollout of new services.
However, as with many ambitious AI deployments, exactly how these projected benefits will play out in live operations — particularly in terms of service quality, cost and real-world AI effectiveness — remains to be seen.
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Why it’s important
This collaboration reflects a growing focus globally and within New Zealand on data sovereignty — the idea that sensitive information should remain under local legal and governance controls. Keeping data inside national borders can simplify compliance with privacy and regulatory frameworks and is increasingly seen as a strategic imperative in a world of complex cross-border data laws.
New Zealand, like several other nations, is also seeing a wider push towards local cloud services: for example, Snowflake has similarly committed to launching a local cloud instance to support data governance and sovereignty goals.
Nevertheless, questions remain. Sovereign AI platforms are technically complex and costly to build and maintain, and there is ongoing debate about whether on-shore systems deliver enough advantage over global hyperscale cloud offerings in terms of cost, talent requirements and scalability. Additionally, wider public trust in AI remains mixed — with some research indicating that consumer confidence in responsible AI usage in New Zealand has declined in recent years.
Even so, for 2degrees the initiative is positioned as a strategic move to differentiate its services and enhance control over its data infrastructure — a theme likely to resonate with other enterprises navigating the evolving balance between innovation, sovereignty and risk.
