This report evaluates how 'AI middle powers' can use public procurement as a strategic governance tool to mitigate risks from foreign-led frontier AI. It proposes a framework of contractual guarantees and recommends international coordination to increase bargaining leverage, enhance visibility, and secure data sovereignty against technological dependencies.

This research explores artificial intelligence adoption within Chinese enterprises using qualitative interviews and quantitative surveys. It identifies significant productivity gains, various organisational models, and workforce impacts, including income anxiety and skills gaps. The report highlights the human–AI collaboration paradigm and offers policy recommendations for skills development and governance.

This report examines implicit and explicit LLM biases in investment management. Through a case study on framing bias across nine OpenAI models, it identifies significant sensitivities in drawdown and client retention scenarios. It concludes that manual prompt restructuring and human-in-the-loop protocols are the most effective mitigation strategies.

This research analyses Singapore's multi-layered approach to regulating artificial intelligence in finance. It evaluates frameworks like the FEAT Principles and Project MindForge while identifying risks such as deepfakes and bias. The paper recommends establishing a dedicated regulatory sandbox and shared responsibility frameworks to manage evolving technological and third-party risks.

This report examines the shifting news consumption habits of audiences aged 18–24. It highlights a definitive move towards social-first, audiovisual content and individual creators. Furthermore, it explores the growing role of generative AI in navigating complex stories, emphasising the need for publishers to adapt to these evolving digital preferences.

Lead generation in Australia's digital economy has become a significant source of consumer harm, involving the harvesting of contact details for sales pitches. This report examines manipulative practices that manufacture consent to avoid consumer protections, highlighting the $1 billion loss from the First Guardian and Shield Master Funds collapse.

This report assesses the capacity of artificial intelligence and robots to automate ageing workforces across 135 economies. While automation could offset demographic pressures, its effectiveness is limited because ageing often occurs in sectors with low automation potential, such as health and agriculture, particularly in several fast-ageing advanced economies.

This research analyses AI provider liability for dual-use models enabling both cyberattacks and defence. It demonstrates that while liability can improve welfare by reducing contest resources through higher prices, it may increase harm by weakening precautions. Market competition and guardrail incentives significantly influence optimal liability shares.

This report explores emerging themes in digital-era public financial management (PFM) for 2026. It examines the integration of artificial intelligence, digital public infrastructure, and earth observation to improve fiscal oversight, tax administration, and public welfare, while highlighting risks from declining international aid and proprietary software lock-in.

Research using a global energy-economy model indicates that AI-driven productivity gains increase net annual CO2 emissions by 0.47–1.8 gigatonnes under parallel adoption. Enabled emissions from fossil sectors consistently exceed avoided emissions from renewables. Achieving net reductions requires renewable productivity gains to be four to five times greater than fossil gains.

This report distils lessons from 25 organisations on leveraging technology to strengthen human rights due diligence in value chains. It categorises various tools, provides case studies, and outlines practical steps for responsible AI adoption, emphasising that technology must complement, rather than replace, human judgement and meaningful stakeholder engagement.

Curating 56 successful fraud protection solutions, this report details strategies across intelligence sharing, telecom security, and biometrics. It highlights how AI-driven oversight and multi-sector collaboration, such as Malaysia's NSRC and UK's reimbursement rules, can reduce losses and restore consumer trust in digital financial ecosystems.

This International Labour Organization report examines the psychosocial risks of AI systems in workplaces. It identifies how algorithmic management and advanced robotics impact mental health, autonomy, and privacy. The paper advocates for integrated regulatory frameworks across labour law and safety standards to protect workers from emerging digital hazards.

This research examines AI diffusion through US firms, distinguishing between organisational adoption and worker-level use. While adoption is growing, it remains concentrated in large, knowledge-intensive sectors. Findings indicate AI primarily augments worker tasks, with capital substitution being more prevalent than labour displacement at this stage of technological integration.

This research examines how automating technology affects white-collar career dynamics and human capital. It identifies a potential 'human-capital trap' where automation reduces entry-level learning. The paper recommends targeted taxes on automation and subsidies for task-frontier expansion to maintain long-term welfare and professional skill development.

This research series provides a comprehensive annual analysis of digital news consumption globally. It tracks audience trends across 48 markets, focusing on trust, platform usage, and the transition to digital formats. This benchmark series informs stakeholders about the evolving information environment and changing news habits across diverse demographics.