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Digital technologies are increasingly present in young children’s lives. How can early education systems get the best out of digitalisation while minimising its risks? This is especially urgent as the COVID-19 pandemic has accelerated our reliance on digital tools – tools that enabled young children to continue learning when early education centres and primary schools closed down. It is in this context that the OECD conducted a policy survey covering 34 countries and jurisdictions. It investigates how digital technologies were used to provide distance education for young children in 2020, which challenges arose and what policy changes are in the pipeline for early education.

New analysis of global investments by venture capitalists (VC) in private companies focused on artificial intelligence (AI) found VC investments in AI to be growing at a dramatic pace. The United States and the People’s Republic of China are leading this wave of investments that tend to concentrate on a few key industries. The data showed that the European Union, United Kingdom and Japan increased investments, but lag behind the two dominant players. The study analysed venture capital investments in 8 300 AI firms worldwide, covering 20 549 transactions between 2012 and 2020, based on data provided by Preqin, a private capital-markets analysis firm in London. The data did not capture every deal and required some extrapolation, yet the timeliness of the findings provides a valuable source of information as national governments, international organisations, public and private sectors develop policies and strategies to capture the benefits of AI for all.

This Digital Government Review of Slovenia explores how the Government of Slovenia could enhance and harness digital government to achieve broader strategic goals. It evaluates the efforts made so far by the Slovenian government in shifting towards a digital government approach by looking at institutional governance, institutional digital talent, public service delivery and the strategic use of data. The review provides policy recommendations to allow Slovenia to make the most of digital technologies to foster a citizen and data-driven administration and to enable and sustain the digital transformation of the public sector.

Industries and businesses are becoming increasingly digital, and the COVID-19 pandemic has further accelerated this trend. Regulators around the world are also experimenting with data-driven tools to apply and enforce rules in a more agile and targeted way. This report maps out several efforts undertaken jointly by the OECD and Italian regulators to develop and use artificial intelligence and machine learning tools in regulatory inspections and enforcement. It provides unique insights into the background processes and structures required for digital tools to perform predictive modelling, risk analysis and classification. It also highlights the challenges such tools bring, both in specific regulatory areas and to the broader goals of regulatory systems.

The OECD Business and Finance Outlook is an annual publication that presents unique data and analysis on the trends, both positive and negative, that are shaping tomorrow’s world of business, finance and investment. Artificial Intelligence (AI) has progressed rapidly in recent years and is being applied in settings ranging from health care, to scientific research, to financial markets. It offers opportunities, amongst others, to reinforce financial stability, enhance market efficiency and support the implementation of public policy goals. These potential benefits need to be accompanied by appropriate governance frameworks and best practices to mitigate risks that may accompany the deployment of AI systems in both the public and private sphere. Using analysis from a wide range of perspectives, this year’s edition examines the implications arising from the growing importance of AI-powered applications in finance, responsible business conduct, competition, foreign direct investment and regulatory oversight and supervision. It offers guidelines and a number of policy solutions to help policy makers achieve a balance between harvesting the opportunities offered by AI while also mitigating its risks.

The promotion of widespread, affordable, and high-quality broadband is a prerequisite for the digital transformation of economies and societies. Foreseeing the role of broadband as an accelerator of economic, social and cultural development, the OECD adopted the Council Recommendation on Broadband Development in 2004. Since then, important developments have taken place in broadband technologies and markets. As part of the review of the 2004 Recommendation undertaken from 2018 to 2020 and resulting in the adoption of the revised 2021 OECD Council Recommendation on Broadband Connectivity, this report examines the evolution of broadband technologies, policies and regulation to foster broadband developments since 2004 as well as the benefits of, and challenges to, accelerating these developments to further enable digital transformation and inclusive growth.

Communication market structures and their effect on delivering efficient and inclusive connectivity is of key interest to policy makers and regulators. This report discusses emerging competition trends in OECD broadband markets that are shaping market structures, covering both fixed and mobile networks. The increasing complementarity of fixed and wireless networks and the convergence of previously separate markets have led to new forms of communication market competition. While convergence has been acting as a driver for market consolidation, there is also increased scrutiny in merger review. Some OECD countries are discussing options to keep mobile communication markets open to new entrants in the context of merger reviews, while others have experienced a recent wave of entry. The report explores the role of horizontal and vertical mergers in communication markets, presents examples of entry in mobile communication markets, and discusses some of effects of entry and consolidation in OECD markets.

Without connectivity, there can be no digital transformation of economies and societies. With this in mind, the OECD Recommendation of the Council on Broadband Development was adopted in 2004. Since then, broadband markets, underlying technologies, and the policies in place to spur the development of broadband networks have undergone significant changes. This document summarises the outcome of an extensive questionnaire sent to delegates of OECD countries and stakeholder groups. The questionnaire aimed to gather information on the experience of OECD countries concerning broadband development in general, and more particularly their experience in implementing the 2004 Recommendation. The responses to the questionnaire were used to inform the review and revision of the 2004 Recommendation, which resulted in the adoption of the 2021 OECD Council Recommendation on Broadband Connectivity.

This study proposes an exploratory analysis of the characteristics of Artificial Intelligence (AI) 'actors'. It focuses on entities that deploy AI-related technologies or introduce AI-related goods and services on large international markets. It builds on the OECD Science, Technology and Innovation Micro-data Lab infrastructure, and, in particular, on Intellectual Property (IP) rights data (patents and trademarks) combined with company-level data. Statistics on AI-related patents and trademarks show that AI-related activities are strongly concentrated in some countries, sectors, and actors. Development of AI technologies and/or goods and services is mainly due to start-ups or large incumbents, located in the United States, Japan, Korea, or the People’s Republic of China, and, to a lesser extent, in Europe. A majority of these actors operate in ICT-related sectors. The composition of the IP portfolio of the AI actors indicates that AI is frequently combined with a variety of sector-specific technologies, goods, or services.