Latest Documents

Stimulus packages adopted following the COVID-19 pandemic – such as the US Inflation Reduction Act and NextGenerationEU - have been presented as an opportunity to 'build back better' and accelerate the transition to a low-carbon economy while re-igniting the economy. But this revival of industrial policy has also raised concerns about the potential for a global green subsidy war. OECD analysed funding measures worth USD 1.3 trillion announced around the world in 2020-21 to support development and diffusion of low-carbon technologies. These measures can trigger substantial greenhouse gas emissions reductions while boosting the growth of the clean tech sector in all regions and reducing dependence over fossil fuel imports. This policy brief summarises key findings from our analysis and offers additional recommendations to policymakers.

This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and were predominantly found in sectors such as ICT and Professional Services. Skills related to Machine Learning were the most sought after. The US-focused part of the study reveals a consistent demand for socio-emotional, foundational, and technical skills across all AI employers. However, leading firms – those who posted the most AI jobs – exhibited a higher demand for AI professionals combining technical expertise with leadership, innovation, and problem-solving skills, underscoring the importance of these competencies in the AI field.

This paper presents new evidence on the size and direction of governments’ R&D funding response to the COVID-19 pandemic through the exploration of a novel data infrastructure, the OECD Fundstat initiative for the analysis of government-funded R&D projects. The document reports on the exploratory development and application of automatic classification tools to detect relevant COVID-19 R&D funding, map salient topics and classify and allocate project funding according to priorities in the WHO COVID-19 R&D Blueprint, as well as comparing results with similar analysis of scientific publication output data. The results provide new insights on which areas of enquiry were prioritised by governmental R&D funding bodies.

This report explores the current state of Internet of Things (IoT) adoption and usage in OECD countries among businesses, households, and individuals. It analyzes IoT trends based on semiconductors, patents, venture capital investments, and firms. Additionally, it includes two case studies that examine the implementation of IoT in manufacturing and healthcare.

This document reports on the final output of the OECD microBeRD+ project. Drawing on the outcomes of previous work, this study presents new evidence on the impact of business R&D support policies – tax incentives and direct forms of support – on business R&D investment (R&D input additionality) and the innovation and economic performance of firms (R&D output additionality). The report also provides an exploratory analysis of R&D spillovers.

This report assesses the continued relevance of the OECD Recommendation on Cross-Border Co-operation in the Enforcement of Laws Protecting Privacy, originally adopted in 2007. It examines whether the Recommendation has kept pace with the evolving needs of Privacy Enforcement Authorities (PEAs) in light of significant technological and legal changes over the past 15 years. While the principles underlying the Recommendation are seen to remain solid, the report highlights several gaps and challenges for cross-border enforcement co-operation. It concludes that the OECD could either provide additional guidance to support the implementation of the Recommendation or consider revising it to better address current challenges.

Generative artificial intelligence (AI) creates new content in response to prompts, offering transformative potential across multiple sectors such as education, entertainment, healthcare and scientific research. However, these technologies also pose critical societal and policy challenges that policy makers must confront: potential shifts in labour markets, copyright uncertainties, and risk associated with the perpetuation of societal biases and the potential for misuse in the creation of disinformation and manipulated content. Consequences could extend to the spreading of mis- and disinformation, perpetuation of discrimination, distortion of public discourse and markets, and the incitement of violence. Governments recognise the transformative impact of generative AI and are actively working to address these challenges. This paper aims to inform these policy considerations and support decision makers in addressing them.

The digital security of communication networks is crucial to the functioning of our societies. Four trends are shaping networks, raising digital security implications: i) the increasing criticality of communication networks, ii) increased virtualisation of networks and use of cloud services, iii) a shift towards more openness in networks and iv) the role of artificial intelligence in networks. These trends bring benefits and challenges to digital security. While digital security ultimately depends on the decisions made by private actors (e.g. network operators and their suppliers), the report underlines the role governments can play to enhance the digital security of communication networks. It outlines key policy objectives and actions governments can take to incentivise the adoption of best practices and support stakeholders to reach an optimal level of digital security, ranging from light-touch to more interventionist approaches.

In May 2023, G7 Leaders identified topics for discussion in the Hiroshima Artificial Intelligence (AI) Process and called for an early stocktaking of opportunities and challenges related to generative AI. This report presents the results of a questionnaire to G7 members developed to support the stocktaking and help guide G7 discussions on common policy priorities about generative AI. It also provides a brief overview of the development of generative AI over time and across countries. The report and questionnaire results represent a snapshot in time: they are indicative of trends identified in the first half of 2023 in a rapidly evolving area of technology. The report helped inform and structure discussions of the G7 Hiroshima AI Process.