The next frontier: network sustainability is now a governance opportunity
By Gaurav Sharma, Digital Sustainability Product Manager, BT Group and Ankur Jain, Director, Infrastructure Solutions (AMEA), BT International
Tuesday, 24 February, 2026
Australian governments have typically done well as leaders in climate sustainability reporting. From early adoption of climate disclosure obligations to broadly consistent frameworks across Commonwealth, state and territory agencies, the public sector has demonstrated commitment to transparent, accountable environmental governance. As these programs mature, network infrastructure represents the next natural frontier.
The foundations for climate accountability are in place and working. Agencies are now reporting emissions with rigour, implementing net-zero roadmaps, and embedding sustainability into procurement and operational decisions.
With climate reporting requirements operational and delivering insights, agencies are well-positioned to bring the same rigour to network strategy, turning sustainability governance into measurable infrastructure outcomes.
From efficient infrastructure to intelligent public service networks
Australian government agencies have made solid progress through infrastructure efficiency: hardware upgrades, data centre consolidation and performance optimisation. These achievements provide a strong foundation for the next evolution in network sustainability.
Australia’s unique geography, renewable energy opportunities and sophisticated service delivery models position governments to lead globally in intelligent network design. In 2026, the most significant opportunities lie in intelligent networks that respond to real demand. AI-enabled networking can allocate bandwidth precisely when services are accessed, optimise unused capacity, and route traffic based on performance, resilience and energy efficiency simultaneously. This extends sustainability outcomes through core network design decisions that enhance both service delivery and environmental performance.
Network-as-a-Service aligns infrastructure with service delivery
Building on successful cloud transformation experiences, governments can extend consumption-based models to network infrastructure through Network-as-a-Service (NaaS). Much as cloud has enabled more efficient compute, NaaS allows agencies to move beyond building networks for theoretical peak demand. Connectivity scales dynamically with actual service usage, optimising capacity while reducing infrastructure footprint.
This strengthens alignment between infrastructure investment and citizen service patterns, particularly benefiting regional and remote delivery where demand varies significantly. Australia’s geography means network infrastructure often runs continuously despite intermittent access. In Australia’s advanced climate disclosure environment, NaaS reduces emissions at source while enhancing the granularity and auditability of energy data agencies are already reporting.
Cross-government coordination opportunities
Governments already demonstrate excellence in cross-agency collaboration through shared services, whole-of-government procurement and coordinated digital strategies. Network infrastructure extends this approach with significant sustainability benefits.
Coordinated network strategy can simplify connectivity across locations, clouds and partners, building on consolidation and shared service models proven effective in other domains. Integrated networks enhance visibility into data movement, help eliminate duplication and reduce inefficient routing. They strengthen emissions governance across agency boundaries while consolidating carbon accounting and strengthening whole-of-government sustainability reporting.
AI as a sustainability enabler
As Australian government agencies consider the potential of AI to enhance service delivery, operational efficiency and policy outcomes, there is an opportunity to embed sustainability into AI strategy from the outset. Any future AI adoption will require strong governance frameworks, particularly in areas such as data sovereignty, privacy and citizen trust. Network infrastructure should form part of that early consideration.
AI workloads can significantly increase network traffic and data centre energy use. Designing networks that support greener routing, direct workloads towards more energy-efficient infrastructure and provide real-time visibility into emissions implications enables sustainability to sit alongside performance, resilience and security. Rather than retrofitting environmental measures later, agencies can incorporate carbon accountability into AI infrastructure planning from day one, extending responsible governance principles to include energy efficiency as well as ethics, privacy and accountability.
Carbon visibility as operational excellence
Australian governments have been early adopters of climate disclosure, with many agencies reporting emissions with significant sophistication. Network infrastructure offers an opportunity to bring this same visibility and rigour to a major source of operational emissions.
With network architecture decisions being made today locking in carbon exposure for three to five years, decision-makers can now access granular, real-time carbon data alongside traditional network metrics. Rather than retrospective annual reporting, carbon becomes an operational input enabling more informed trade-offs and stronger governance. This supports the continuous improvement approach governments have successfully applied to other sustainability initiatives.
Leading the next evolution
How governments design and govern their networks will shape not only their own sustainability outcomes, but set expectations and standards for the broader economy.
Australian government agencies have built robust sustainability governance, established transparent climate reporting and demonstrated commitment to environmental accountability. Network infrastructure represents a natural next step and an opportunity to extend this leadership and deliver measurable impact in an area with significant emissions potential.
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