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Artificial Intelligence (AI)

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Generative AI (GenAI)
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Artificial Intelligence (AI)
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Report

Key questions on energy and AI


The development and uptake of artificial intelligence (AI) has accelerated recently – elevating the question of what widespread deployment will mean for the energy sector. This report includes projections for how much electricity AI could consume over the next decade. It analyses what the uptake could mean for energy security, missions, innovation and affordability.
Report

Acceleration is not a strategy: a framework for directing AI towards public value before it's too late


The politics of artificial intelligence (AI) is set to drastically change in 2026 as recent technical breakthroughs are implemented across the economy. This report draws reflections from work on AI policy and highlights next steps, with recommendations for governments seeking to demonstrate that they are intervening ambitiously in their citizens’ interests.
Book

Responsible AI in practice


Artificial intelligence (AI) is rapidly being embedded across companies’ products, services and internal operations, yet governance and disclosure are not evolving at the same speed. This report looks at corporate practice in the context of the emerging responsible AI regulatory landscape. It finds that public commitment from companies to AI governance frameworks remains low.
Journal article

AI adoption and firm demand for workers and skills

This study analyses an Australian dataset of firm job postings to explore the effects of artificial intelligence (AI) adoption on demand for workers and skills. The findings suggest that AI adoption increases demand for new workers and skills, aligning with the view that the latest AI tools serve to augment, rather than substitute for, human...
Report

Scaling artificial intelligence in health


Artificial Intelligence (AI), when scaled responsibly, holds significant potential for healthcare systems. Yet significant barriers to its adoption remain, including fragmented data foundations, regulatory uncertainty, and gaps in governance and workforce capacity. To help support actions toward the responsible scale of AI in health, a policy checklist was developed to guide decision making and prioritisation.