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Artificial Intelligence and the impact on future employment

It is astonishing to know that government dependency has reached epidemic levels in this country. According to ten thousand robots will handle customer orders by the end of the year. University of Oxford researchers estimated that there is a 92% chance that fast food preparation will be automated.

Dr. Carl Frey and Dr. Michael Osborne of Oxford University came to the conclusion that 47% of U.S. jobs will be automated two people who collaborated on a study about U.S. jobs and computerisation from Oxford Martin Program on the impact of future technology.

The study examined 700 detailed occupations by type, tasks, and skills. Although there are engineering limitations that prevent total computerisation researchers have assessed that the human intelligence is still relevant for a wide range of work tasks, such as those involving negotiations, persuasion and care.

It is also concluded that occupations requiring a high degree of creative intelligence will not be automated in the next decade. In light of the mention of economic recovery in an attempt to move away from a current recession, it is clear upon the research that there is a skills gap were employers are taking more action to meet skill deficiencies in their workforce. While vacancies are increasing staff receiving training has not increased significantly for decades, half of employers report under-utilizing the skills of their staff as the workforce become more highly skilled.

Dr. Carl Frey on future trends who teamed up with Michael Osborne concluded: Over the past century developed nations have seen a decline in occupations involving routine tasks as labor saving technologies and computerisation has made such occupations obsolete. While it has been assumed that occupations involving non-routine tasks were safe fro the 'rise of the machines' recent developments have called his belief into question. As Carl pointed out as recently as 2004 it was asserted that driving in traffic could never be automated. However with the manipulation of big data Google has now achieved this feat of engineering.

It is safe to say that automation is most likely to be confined to low skilled and low income occupations which we are all seeing a glimpse of right now. With the primary objective of analysis is to examine the number of jobs at risk and its relationship between a occupations probability of computerisation, wages and education attainment still remains in full swing.

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