In his recent Information Age opinion piece, "The next frontier is sustainable AI," ACS Sustainability Committee member Tim Prosser explores the urgent need to manage AI's growing environmental footprint. Drawing on insights from a UK Sustainable IT study tour, Prosser highlights the critical shift toward software sustainability, "GreenOps" skill development, and hardware circularity. He argues that by embedding environmental modeling early in the architecture phase and adopting collaborative governance, the tech industry can drive a resilient, climate-conscious future. Read the full article to discover how today's design decisions will determine tomorrow's emissions.

While AI drives business innovation, its massive environmental footprint—fueled by soaring energy consumption and e-waste—remains a dangerous blind spot for corporate boards. With 89% of companies failing to assess AI's environmental impact, organisations face severe regulatory and reputational risks, including compromised net-zero targets and Scope 3 emission violations.

To avoid greenwashing and systemic risk, leaders must enforce operational accountability. This requires demanding emission transparency from cloud vendors, conducting AI lifecycle sustainability assessments, and embedding strict ESG checkpoints into system design to balance technological advancement with climate commitments.

Key takeaways from the Tech Governance Forum 2026 hosted by the Australian Institute of Company Directors, highlighting that modern tech governance demands baseline technology fluency for all directors, people-focused change management, and rapid cyber resilience.

Beyond these strategic priorities, the post explores a critical missing element: digital sustainability. It challenges boards to confront the hidden environmental footprint of artificial intelligence, including escalating energy demands, water consumption, and e-waste. Ultimately, the post urges organisations to embed environmental accountability into their tech strategies, ensuring digital innovation respects planetary boundaries.

AI's environmental footprint represents a critical and largely unaddressed governance risk for Australian board directors.

This article examines four key questions spanning director liability under Section 180 of the Corporations Act, Scope 3 emissions obligations under Australia's mandatory AASB S2 climate reporting regime, the physical resource demands of AI infrastructure — including energy, water, and e-waste — and the emerging legal risk of "AI-washing" under Australian Consumer Law.

Directors are urged to adopt practical governance frameworks and fit-for-purpose AI selection practices to manage these material and escalating risks.

February 2026 marks a pivotal moment for IT and sustainability professionals. SustainableIT.org has released Version 2.0 of its Sustainable IT Standards Taxonomy — the most significant update since the framework launched in 2023.

Covering responsible AI governance, water sustainability, technology circularity, and supply chain accountability, V2.0 gives IT and sustainability leaders the granular, actionable metrics needed to measure, manage, and report on technology's environmental and social impact. Whether you're navigating CSRD compliance or building your sustainability roadmap, this update deserves your attention.

Explores the environmental "elephant in the room" of the AI revolution: the immense resource consumption of physical data centres. Reflecting on a recent panel at Climate Action Week Sydney 2026, I contrast AI’s problem-solving "handprint" with its staggering ecological "footprint," noting that Sydney's data centres could consume 25% of the city's drinking water by 2030. To ensure sustainable digital transformation, the post outlines three critical imperatives: enacting strict policies requiring additional renewable energy, embracing circular economy practices for water and minerals, and implementing granular emissions tracking. Australia must act now to build sustainable digital infrastructure.

Artificial intelligence (AI) is rapidly emerging as one of the defining forces of the decade, standing alongside the urgent global challenge of climate change. With worldwide AI investment forecast to exceed US$600 billion by 2028, AI's massive appetite for computational power creates a significant environmental footprint that Australian IT leaders can no longer ignore.

The acceleration of AI workloads is straining resources globally and locally: Energy and Emissions, Water Consumption and E-Waste.

For Australian organisations, sustainable AI adoption is a critical strategic imperative. The goal is to pursue innovation through sustainability, ensuring that our digital evolution supports, rather than undermines, our climate commitments.