AI’s growing demand for resources is unsustainable; NTT DATA paper calls for action and offers solutions
- Sub Editor
- 8 hours ago
- 3 min read
· White paper shows how AI can help solve the environmental challenges it creates
· Resource efficiency should be designed into systems from the start
· Sustainable AI requires lifecycle thinking and circular-economy principles
A new white paper from NTT DATA, a global leader in AI, digital business and technology services, highlights the urgent need to embed sustainability into every layer of AI development and deployment to counteract the technology’s environmental impact. Deploying innovative solutions for sustainable AI is a corporate responsibility and a strategic opportunity to create lasting value, build organisational strength and consume fewer essential resources.
The new paper, Sustainable AI for a Greener Tomorrow, illustrates the growing environmental impact of AI and outlines a path to sustainable innovation. The technology requires enormous volumes of electricity to support surging computational demands to train large language models, run inference pipelines and maintain always-on services. Researchers predict AI workloads will drive more than 50% of data centre power consumption by 2028. Other primary environmental impacts include water consumption for data centre cooling systems, e-waste and rare earth mineral extraction for hardware production.
“The resource consequences of AI’s rapid growth and adoption are daunting, but the technology also can empower innovative solutions to the environmental problems it creates,” said David Costa, Head of Sustainability Innovation Headquarters, NTT DATA. “AI’s amazing capabilities can help manage energy grids more efficiently, reduce overall emissions, model environmental risks and improve water conservation. It’s vital for organisations to recognise the challenge and build sustainability into AI systems from the start.”
Key Insights
Expand From Performance to Green Priorities: NTT DATA’s AI experts and sustainability consultants urge the use of holistic sustainability goals, not just conventional AI performance metrics such as accuracy and speed. Efficiency must be prioritised, not as a trade-off, but as a core design principle.
Quantify Environmental Impact: AI’s energy consumption, carbon emissions and water footprint need standard and verifiable metrics. Industry benchmarks such as the “AI Energy Score” and “Software Carbon Intensity (SCI) for AI” offer ways to embed sustainability into governance, procurement and compliance protocols.
Lifecycle-Centric Approach: Sustainable AI requires lifecycle thinking, from raw material extraction and hardware production to system deployment and ultimate disposal. Important steps include lengthening hardware lifespans, optimising cooling systems and applying circular-economy principles.
Shared Accountability Across the Ecosystem: Responsibility is widely distributed, encompassing hardware manufacturers, data centre operators, software developers, cloud providers, policymakers, investors and consumers. Cross-sector cooperation is essential for systemic change.
Barriers and Best Practices
Today, fragmented assessments and inconsistent metrics frequently prevent meaningful benchmarking. Many organisations focus narrowly on energy or emissions without considering water usage, rare material depletion and e-waste. These and other factors must be addressed comprehensively. Even when environmental goals are set, organisations often lack actionable methods to apply sustainability at every stage of the AI lifecycle.
To address these and other concerns, the report outlines numerous best practices, including:
Applying green software engineering patterns to reduce resource consumption
Running AI workloads in locations and at times that align with renewable energy availability
Leveraging remote GPU Services and on-premises AI
Reducing e-waste by prioritising modular and upgradable components, and extending hardware lifespans through refurbishment, reuse and responsible recycling
While the road to sustainable AI is complex, an intentional, end-to-end redesign of the AI lifecycle can help fulfill this technology’s positive potential while protecting the environmental systems on which all living things depend.
To help accelerate the transition towards a sustainable future, please visit our website to download the whitepaper and learn more about NTT DATA’s sustainability services.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centres and application services. Our consulting and industry solutions help organisations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centres as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
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