Based on a formula by Gilles Saint-Paul, an economist at Toulouse 1 University, the demand for unskilled human capital declines at a slower rate than the demand for skilled human capital increases.[100] In the long run and for society as a whole it has led to cheaper products, lower average work hours, and new industries forming (i.e., robotics industries, computer industries, design industries). These new industries provide many high salary skill based jobs to the economy. By 2030, between 3 and 14 percent of the global workforce will be forced to switch job categories due to automation eliminating jobs in an entire sector. While the number of jobs lost to automation are often offset by jobs gained from technological advances, the same type of job lost is not the same one replaced and that leading to increasing unemployment in the lower-middle class. This occurs largely in the US and developed countries where technological advances contribute to higher demand for high skilled labor but demand for middle wage labor continues to fall. Economists call this trend “income polarization” where unskilled labor wages are driven down and skilled labor is driven up and it is predicted to continue in developed economies.[101]

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Research by Carl Benedikt Frey and Michael Osborne of the Oxford Martin School argued that employees engaged in "tasks following well-defined procedures that can easily be performed by sophisticated algorithms" are at risk of displacement, and 47 per cent of jobs in the US were at risk. The study, released as a working paper in 2013 and published in 2017, predicted that automation would put low-paid physical occupations most at risk, by surveying a group of colleagues on their opinions.[91] However, according to a study published in McKinsey Quarterly[92] in 2015 the impact of computerization in most cases is not replacement of employees but automation of portions of the tasks they perform.[93] The methodology of the McKinsey study has been heavily criticized for being intransparent and relying on subjective assessments.[94] The methodology of Frey and Osborne has been subjected to criticism, as lacking evidence, historical awareness, or credible methodology.[95][96] In addition the OCED, found that across the 21 OECD countries, 9% of jobs are automatable.[97]
Dans le chapitre « Assemblage des fragments  »  : […] de la bio-informatique est l'aide à la « mise en forme » des génomes de grande taille. En effet, grâce aux apports de la robotique, le biologiste peut désormais séquencer des génomes complets. Toutefois, la technologie des robots ne permet pas de traiter plus de 700 nucléotides sur un seul fragment d'ADN à la fois : le génome est donc découpé, au […] Lire la suite☛