The Economic Consequences Of Automation

While the computer revolution has created hundreds of thousands of new jobs, it has threatened as many other jobs with obsolescence and has often caused the displacement of workers by computer-based machines. Here, Nobel Prize-winning economist Wassily Leontief and Faye Duchin use the input-output approach, a method that has been widely applied in examining structural economic change, to analyze the complex issues surrounding the impact of computer-driven automation on employment. Following a general discussion of the impact of automation on employment, they focus on four specific sectors within the economy--manufacturing, office work, education, and health care. The input-output approach makes it possible to draw conclusions regarding both overall employment and the prospects for individual occupations. Taking account of the increased need for workers in the production of computer-based equipment, the authors conclude that by the year 2000 automation will not cause dramatic unemployment if the economy is able to achieve a smooth transition from the old to new technologies.

Automation and Its Macroeconomic Consequences reveals new ways to understand the economic characteristics of our increasing dependence on machines. Illuminating technical and social elements, it describes economic policies that could counteract negative income distribution consequences of automation without hampering the adoption of new technologies. Arguing that modern automation cannot be compared to the Industrial Revolution, it considers consequences of automation such as spatial patterns, urbanization, and regional concerns. In touching upon labor, growth, demographic, and policy, Automation and its Macroeconomic Consequences stands at the intersection of technology and economics, offering a comprehensive portrait illustrated by empirical observations and examples. Introduces formal growth models that include automation and the empirical specifications on which the data-driven results rely Focuses on formal modeling, empirical analysis and derivation of evidence-based policy conclusions Considers consequences of automation, such as spatial patterns, urbanization and regional concerns

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

With digital automation becoming ubiquitous, the relationship between man and machine is being redefined. This book, through a focus on America, identifies the tension this relationship has produced, and how it has divided America socially, politically, and economically, ultimately breeding two fundamentally incompatible nations within one: the “forgotten America” and “elite America.” This book enables the reader to visualize the changes brought by automation on our producer and buyer identities, and suggests policy changes that global leaders could adopt to deal with the increasing discord. The book is heavily dependent on a few fundamental concepts of both economics and sociology, such as globalization, labor economics, and cultural homogenization. The book is ideally suited to students and academics researching political economics and sociology, with focuses on globalization, unemployment, and the social impacts of technological advances.

Addressing the big questions about how technological change is transforming economies and societies Rapid technological change—likely to accelerate as a consequence of the COVID-19 pandemic—is reshaping economies and how they grow. But change also causes disruption, creates winners and losers, and produces social stress. This book examines the challenges of digital transformation and suggests how creative policies can make it more productive and inclusive. Shifting Paradigms is the second book on technological change produced by a joint research project of the Brookings Institution and the Korea Development Institute. Contributors are experts from the United States, Europe, and Korea. The first volume, Growth in a Time of Change, was published by Brookings in February 2020. The book's underlying thesis is that the future is arriving faster than expected. Long-accepted paradigms about economic growth are changing as digital technologies transform markets and nearly every aspect of business and work. Change will only intensify with advances in artificial intelligence and other innovations. Investors, business leaders, workers, and public officials face many questions. Is rising market concentration inevitable with the new technologies or can their benefits be more widely shared? How can the promise of FinTech be captured while managing risks? Should workers fear the new automation? Are technology-driven shifts in business and work causing income inequality to rise? How should public policy respond? Shifting Paradigms addresses these questions in an engaging manner for anyone interested in understanding how the economic and social agenda is being transformed by today's winds of change.

Artificial intelligence will not necessarily create a super-intelligent “human robot”; however, it is very probable that intelligent robots and intelligent informats will bring about a form of super-globalization, in which money and goods are prioritized over people and democracy and where the widespread use of casual labour – that is, short-term contracts – will become the most common form of employment relationship. It is also very likely that artificial intelligence will bring about what is known as singularity. This term is used to describe a situation where intelligent robots, from a rational and logical perspective, are smarter than humans, i.e. the development of AI. This book explores the impact that these intelligent robots and intelligent informats will have on social and societal development. The author tackles the question of singularity from three distinct standpoints: technological singularity – the intelligence of machines compared to that of humans – which he argues will bring about a qualitatively new labour market; economic singularity – the consequences for work relationships, value creation and employment – which he asserts will promote full automation, result in precarious contracts with low salaries, and, in some countries, possibly lead to the introduction of a universal basic income; and social singularity – the consequences of technological and economic singularity for democratic processes, bureaucratic procedures for exercising authority and control, and the direction in which society will develop, in addition to the emergence of new social institutions – which Johannessen says will promote a transition from representative democracy to genuine democracy. The book will appeal to academics, researchers and students of economic sociology and political economy, as well as those focusing upon the emerging innovation economy. It will also find an audience among professionals and policymakers keen to understand the impact the Fourth Industrial Revolution will have on organizations, individuals and society at large.