Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable. This report develops a new approach to understanding these computer capabilities by using a test based on the OECD's Survey of Adult Skills (PIAAC) to compare computers with human workers. The test assesses three skills that are widely used at work and are an important focus of education: literacy, numeracy and problem solving with computers. Most workers in OECD countries use the three skills every day. However, computers are close to reproducing these skills at the proficiency level of most adults in the workforce. Only 13% of workers now use these skills on a daily basis with a proficiency that is clearly higher than computers. The findings raise troubling questions about whether most workers will be able to acquire the skills they need as these new computer capabilities are increasingly used over the next few decades. To answer those questions, the report's approach could be extended across the full range of work skills. We need to know how computers and people compare across all skills to develop successful policies for work and education for the future.

Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable.

"Faith. Hope. and Charity and the greatest of these is Charity. " "Hardware. Software. and Lil'ell'are and the greatest of these is . . . " As information technology ceased to be the prerogative of computer scientists and electronics engineers, those of us from other disciplines had to contend with the jargon which was already in vogue. We learned to live with "hardware" and "software. " We were less enthusiastic about "Iiveware. " Polite and some impolite questioning revealed that "Iiveware" was a euphemism for "people. " We were not amused. As one spirited participant observed, "I refused to go home and tell my children that Almighty God had made liveware in His own image and likeness. " People are too important to be known as anything but people. Moreover, it is the importance of people that is the dominating and recurring theme of this book by Christopher Baldry. He deals with virtually every aspect of the problems concerning men and women and their recourse to the equipment. This could well become the definitive work in the field. In addition to the details of health hazards, industrial relations, new technology agreements and the like, Dr. Baldry grapples with two great underpinning issues.

Over the past five years, business and education groups have issued a series of reports indicating that the skill demands of work are rising, due to rapid technological change and increasing global competition. Researchers have begun to study changing workplace skill demands. Some economists have found that technological change is "skill-biased," increasing demand for highly skilled workers and contributing to the growing gap in wages between college-educated workers and those with less education. However, other studies of workplace skill demands have reached different conclusions. These differences result partly from differences in disciplinary perspective, research methods, and datasets. The findings of all of these strands of research on changing skill demands are limited by available methods and data sources. Because case study research focuses on individual work sites or occupations, its results may not be representative of larger industry or national trends. At a more basic level, there is some disagreement in the literature about how to define "skill". In part because of such disagreements, researchers have used a variety of measures of skill, making it difficult to compare findings from different studies or to accumulate knowledge of skill trends over time. In the context of this increasing discussion, the National Research Council held a workshop to explore the available research evidence related to two important guiding questions: What are the strengths and weaknesses of different research methods and data sources for providing insights about current and future changes in skill demands? What support does the available evidence (given the strengths and weaknesses of the methods and data sources) provide for the proposition that the skills required for the 21st century workplace will be meaningfully different from earlier eras and will require corresponding changes in educational preparation?

Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives.

Recent years have yielded significant advances in computing and communication technologies, with profound impacts on society. Technology is transforming the way we work, play, and interact with others. From these technological capabilities, new industries, organizational forms, and business models are emerging. Technological advances can create enormous economic and other benefits, but can also lead to significant changes for workers. IT and automation can change the way work is conducted, by augmenting or replacing workers in specific tasks. This can shift the demand for some types of human labor, eliminating some jobs and creating new ones. Information Technology and the U.S. Workforce explores the interactions between technological, economic, and societal trends and identifies possible near-term developments for work. This report emphasizes the need to understand and track these trends and develop strategies to inform, prepare for, and respond to changes in the labor market. It offers evaluations of what is known, notes open questions to be addressed, and identifies promising research pathways moving forward.