What are the main assumptions?
In Dancing with Robots Levy & Murnane (2013) put forward a number of arguments relating to labour markets, education, and the standardisation of robotic labour; which can also be referred to as Skill-Biased Technological Change (SBTC). To begin, Levy & Murnane acknowledge computer strengths and limitations while acknowledging some foreseeable future challenges of cybernation. For example, computer strengths are speed and accuracy rather than flexibility. In addition, most computerised tasks are simplified by imposing both physical and data structure. While it is conceded that human brains are slower and subject to mistakes, Levy & Murnane (2013) argue that human skills must now concentrate on the tasks that …show more content…
One argument is that SBTC is a prime contributor to inequality which favours the theory of hollowing labour markets. In this instance, income and skill inequality are dramatically increased as computerisation replaces middle-class labour (Manyika, Chui, Bughin, Dobbs, Bisson, & Marrs, 2013). The result is wage disparity between those with high skills and those with low or no skills. These systematic economic inequalities further create divisions of opportunities. As a result, disparities in work, wages or salary drive lower aggregate demand for goods and services having unattended effects in the market. Further productivity and technology that produce innovation often lower labour production requirements (Berman, Bound, & Machin, 1998) again intensifying demand for non-routine manual work. In addition, any benefit of value may not be evenly distributed, and could even contribute to widening income inequality (Manyika et al, 2013). The further widening decreases the economic mobility or generational advances in wealth, knowledge and foundational skills that are required to advance in a labour …show more content…
N. Z., 2015). The report signals Labourers, Machinery Operators, Drivers, Clerical and Administrative workers as the most at risk groups from computerisation and automation (MAKE, C. N. Z., 2015). Likewise, regions were individually assessed and show differences in vulnerability to SBTC. Many of the more vulnerable regions had significant factors in common. These included rural locations, low-skilled groups of workers, and men. Nevertheless, New Zealand’s market flexibility has been well placed to ameliorate disruptive technology (MAKE, C. N. Z.,
In Dancing with Robots Levy & Murnane (2013) put forward a number of arguments relating to labour markets, education, and the standardisation of robotic labour; which can also be referred to as Skill-Biased Technological Change (SBTC). To begin, Levy & Murnane acknowledge computer strengths and limitations while acknowledging some foreseeable future challenges of cybernation. For example, computer strengths are speed and accuracy rather than flexibility. In addition, most computerised tasks are simplified by imposing both physical and data structure. While it is conceded that human brains are slower and subject to mistakes, Levy & Murnane (2013) argue that human skills must now concentrate on the tasks that …show more content…
One argument is that SBTC is a prime contributor to inequality which favours the theory of hollowing labour markets. In this instance, income and skill inequality are dramatically increased as computerisation replaces middle-class labour (Manyika, Chui, Bughin, Dobbs, Bisson, & Marrs, 2013). The result is wage disparity between those with high skills and those with low or no skills. These systematic economic inequalities further create divisions of opportunities. As a result, disparities in work, wages or salary drive lower aggregate demand for goods and services having unattended effects in the market. Further productivity and technology that produce innovation often lower labour production requirements (Berman, Bound, & Machin, 1998) again intensifying demand for non-routine manual work. In addition, any benefit of value may not be evenly distributed, and could even contribute to widening income inequality (Manyika et al, 2013). The further widening decreases the economic mobility or generational advances in wealth, knowledge and foundational skills that are required to advance in a labour …show more content…
N. Z., 2015). The report signals Labourers, Machinery Operators, Drivers, Clerical and Administrative workers as the most at risk groups from computerisation and automation (MAKE, C. N. Z., 2015). Likewise, regions were individually assessed and show differences in vulnerability to SBTC. Many of the more vulnerable regions had significant factors in common. These included rural locations, low-skilled groups of workers, and men. Nevertheless, New Zealand’s market flexibility has been well placed to ameliorate disruptive technology (MAKE, C. N. Z.,