Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.

Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.

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.

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.

(AI) -driven automation industry will create wealth and expand economy growth to any countries, but it will be accompanied by changed in the skills that workers need to learn. One of main ways that technology increases productivity is by decreasing the number of labor hours needed to create a unit of output. It implies (AI) technology will influence low educated and low skillful labor number to be decreased ( reduction employment number).In contrast, technological change tended to work in a different direction throughout the nowadays. The advance of computer and the internet raised the relative productivity of higher skilled workers. So, routine-intensive occupations that focused on predictable tasks disappearance, such as switch board, operators, filming checkers, travel agents and assembling line workers etc. were particularly replaced by new technologies.However, today, it may be challenging to predict exactly which jobs will be most immediately affected by (AI) driven-automation. The reason is because (AI) is not a single technology, but rather a collection of technologies that are felt unevenly through theeconomy to influence job changing both negatively and positively. In positively view point, (AI) driven-automation will make many workers more productive and increase demand for certain skills. Consequently, new jobs are likely to be directly create in areas, such as the development and supervision of (AI) as well as indirectly created in a range of areas throughout the economy as higher incomes lead to expanded demand. Otherwise, in negatively view point, many traditional human needed ( demand) skillful jobs will be threatened by automation are highly concentrated among lower-paid, lower-skilled and less -educated workers. It means automation will cause pressure on demand for this group, pressure and employment, if (AI) can replace the low skilled and less educated workers' jobs. Thus, (AI) will have negative influence to impact on the labor market.(AI) capabilities will enable automation of some tasks that have long required human labor. Why can (AI) replace some simple human jobs? For example, advances in robotics are expanding machines' abilities to interact with and sharp the physical world. Combined, (AI) and robotics will give rise to smarter machines that can perform more sophisticated functions than ever before and brings moreadvantages that humans have exercised. This will permit automation of many tasks now performed by human workers and could change the shape of the labor market and human activity.