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 research examines the governance of dual-class firms, documenting a significant rise in their prevalence among US initial public offerings between 2000 and 2025. It identifies that these structures are increasingly concentrated in founder-led, venture-backed technology companies, while empirical evidence suggests they do not necessarily lead to CEO entrenchment.

This field experiment in rural Sierra Leone evaluates upgrading Village Savings and Loan Associations into digital financial service agents. While infrastructure expands access, introducing consumer feedback mechanisms significantly improves service quality, transaction usage, and household shock mitigation. Results demonstrate that accountability is essential for developing functional, scalable financial markets.

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 report analyses the impact of 3G expansion on employment across 52 countries from 2004 to 2023. It finds that while connectivity increases participation in low-income regions, it is associated with declining employment in mature economies. Gender gaps remain persistent, particularly regarding youth disengagement in poorer contexts.

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.

This report examines the exploitation of African migrant workers within the United Arab Emirates' e-commerce and delivery sectors. It details systemic abuses including recruitment debt, deceptive contracts, and excessive working hours, highlighting how subcontracting models fragment accountability. The findings advocate for stronger international labour standards to protect vulnerable platform workers.

This research examines the environmental and social impacts of rapid data centre expansion in the United States. It highlights how generative AI infrastructure disproportionately burdens marginalised communities through pollution, increased utility costs, and resource depletion. The authors call for a "more human pace" centred on environmental justice.

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.

This report assesses digital traceability systems for critical raw materials, evaluating their architecture, feasibility, and impact. It emphasises aligning downstream regulatory demands with upstream producer realities, recommending that traceability should support due diligence and inclusion—particularly for artisanal mining—rather than serving as a standalone compliance burden.