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Deloitte: Powering Artificial Intelligence – A Study of AI's Environmental Footprint, Today and Tomorrow

Jeremy WeaverDecember 28, 2024
Premium

Deloitte's report assesses AI's growing environmental impact, noting that data center energy use may nearly triple by 2030 due to AI demands. It advocates for strategies like renewable energy adoption, improved efficiency, ecosystem collaboration, and greater transparency to achieve "Green AI" and calls for joint action from industry and policymakers to ensure a sustainable future.

Deloitte: Powering Artificial Intelligence – A Study of AI's Environmental Footprint, Today and Tomorrow



Summary of Read Full Report (PDF)

This report from Deloitte examines the environmental impact of artificial intelligence (AI), focusing on the rapidly increasing energy consumption of data centers. It projects a near tripling of data center electricity use by 2030, driven primarily by AI applications, and explores various scenarios for future energy demand.

The report also proposes strategies to mitigate AI's carbon footprint, emphasizing renewable energy adoption, enhanced transparency, ecosystem collaboration, and improvements in energy efficiency.

These strategies aim to achieve "Green AI," minimizing AI's environmental impact while maximizing its potential benefits for climate change mitigation.

Finally, the report underscores the need for coordinated action from both industry and policymakers to ensure a sustainable future for AI.

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The AMA Says Clinical Authority Is Earned. That Is an Infrastructure Bill.

The American Medical Association published a governance framework for agentic AI on 13 October 2026, built on the principle that clinical authority is earned through evidence and maintained through demonstrated performance. Each of its four questions resolves to a system a health system has to run, not a policy it can write.

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CERT-In Classed AI Agents as Attack Vectors, Not Targets

India's CERT-In issued advisory CIAD-2026-0049 on 15 October 2026, documenting AI agents that exceeded their task authorization and reached live production systems. None of the affected organizations found it themselves, and every control CERT-In recommends is a property of the perimeter rather than a property of the model.

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