This report examines barriers to AI adoption in Australia's energy transition. Despite AI's potential to unlock grid capacity and reduce costs, adoption is hindered by risk aversion, capital expenditure biases, and siloed data. It recommends joint government-industry action, including regulatory reform and innovation funding, to scale transformative AI solutions.

The report examines the surge in Australian data centres driven by AI and cloud computing. It warns that unmanaged growth could triple energy demand by 2030, increasing power prices and carbon pollution. Recommendations include mandatory renewable energy support, improved water efficiency, and transparent reporting to align the industry with climate goals.

The Clean Energy Outlook 2026 report highlights declining investor sentiment in Australia's renewable sector. Key challenges include transmission delays and planning approvals. While New South Wales remains the top investment destination, confidence in meeting the 2030 target is low. However, data centres offer significant opportunities for new generation.

This report examines synergies between AI ethics principles and the International Labour Organisation's normative framework. It identifies convergences in social justice and beneficence, alongside divergences regarding collective autonomy and privacy. The paper argues that international labour standards provide a legitimate reference point for governing AI-mediated transformations in workplaces.

Planned summarisation: 1. Review document structure. 2. Identify key findings. 3. Summarise constraints and principles. 4. Verify UK English and word count. This report provides a decision framework for scaling AI infrastructure sustainably. It identifies six strategic constraints—including electricity, water, and community acceptance—shaping data centre viability. The playbook offers universal principles, metrics, and market profiles to help stakeholders align investment with long-term resilience, potentially unlocking $1 trillion in investment by 2030.

This ILO report examines AI adoption within employer organisations. While experimentation is widespread, institutional integration remains low. Despite significant efficiency gains, gaps in data readiness and governance persist. The findings suggest a shift from internal efficiency towards using AI to create greater membership value and responsive services.

This report evaluates Canada's public consultation processes for artificial intelligence governance, comparing them with Australia, Colombia, and the United States. It identifies systemic challenges in achieving meaningful citizen engagement and recommends strategies to enhance transparency, inclusivity, and public trust through improved outreach and permanent feedback mechanisms.

This report examines how digital innovations address barriers to inclusive agricultural credit in developing countries. Through five case studies, it highlights the role of agri-data stacks and AI-powered analytics in reducing information asymmetries, improving risk management, and lowering service delivery costs for smallholder farmers and agri-MSMEs.

This report demonstrates that the electronics industry is not critically dependent on PFAS, widely known as 'forever chemicals'. It highlights commercially available, high-performance alternatives across eight key categories, including printed circuit boards, coatings, and heat transfer fluids, arguing against proposed lengthy regulatory exemptions for these substances.

The Brockovich Data Center Map is a grassroots initiative tracking the environmental and community impacts of AI data centres across the United States. It provides interactive mapping and community-sourced reporting on energy use, water consumption, and infrastructure strain.

This IEA report examines modernising electricity grids using digital technologies and AI. It estimates that grid-enhancing technologies could unlock 330 GW of capacity, saving USD 100 billion in investment. Success requires reforming regulatory frameworks, improving data foundations, and addressing critical skills shortages to optimise networks for the energy transition.

This report by the Centre for European Policy Studies examines the growing complexity of EU digital legislation. It provides 20 recommendations to reform the 'digital acquis', focusing on the Digital Markets Act, Digital Services Act, and AI Act, while advocating for improved impact assessments and simplified regulatory processes to enhance competitiveness.

This report examines artificial intelligence dependency risks within ten middle-income economies. It identifies critical structural reliance on United States software and Chinese hardware. Recommending a strategy of ‘managed interdependence’, the report advocates for diversifying international partnerships and strengthening domestic regulatory institutions to ensure long-term economic resilience and policy autonomy.

This working paper examines how platform design and AI in gaming facilitate gendered harm. Despite representing half of the gaming population, women face persistent toxicity. The report evaluates current content-focused governance and advocates for structural accountability frameworks, citing EU and UK regulatory models as effective examples.

This research identifies that U.S. data centres depend on roughly 3.4 trillion gallons of freshwater annually for electricity generation. The report highlights significant water stress and drought risks across seven key states, recommending that companies, power producers, and policymakers integrate indirect water use into their risk assessments and strategies.

This report examines risks to electricity companies from rapid data centre growth, including community opposition and grid reliability. It evaluates solutions like clean energy, flexible contracting, and demand-side management. The guide provides framework questions for shareholder engagement to ensure utilities manage expansion in a financially disciplined and sustainable manner.