The Impact of Information Technology in the workforce: Difference between revisions

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Now humanity is in Information Age or Information Revolution from head to toe. Earlier paragraphs demonstrated that the technology has replace species, humans and employees for thousands of year. Yet the phenomena of machine-human substitution geared up with the Industrial Revolutions has substantially increased with the Information Age. At first the Information Age created new jobs and created a new science-based professional and technical class on jobs (managerial, research & development, design, healthcare). Gradually the technology started to take over jobs from employees resulting in shift of income from labour to business capital and wage stagnation or reduction for employees <ref>[http://www.lse.ac.uk/Events/Events-Assets/PDF/2017/2017-MT03/20171002-Sachs-Man-and-Machine-PPT.pdf  Man and Machine: the macroeconomics of the digital revolution (slide 11)]</ref>. The technological development and adoption speeding up at the pace of the Moore’s law has lead to widespread understanding that the technology and automations is capable to disrupt the employment with a same brutal strength as did steam and industrialisation.  
Now humanity is in Information Age or Information Revolution from head to toe. Earlier paragraphs demonstrated that the technology has replace species, humans and employees for thousands of year. Yet the phenomena of machine-human substitution geared up with the Industrial Revolutions has substantially increased with the Information Age. At first the Information Age created new jobs and created a new science-based professional and technical class on jobs (managerial, research & development, design, healthcare). Gradually the technology started to take over jobs from employees resulting in shift of income from labour to business capital and wage stagnation or reduction for employees <ref>[http://www.lse.ac.uk/Events/Events-Assets/PDF/2017/2017-MT03/20171002-Sachs-Man-and-Machine-PPT.pdf  Man and Machine: the macroeconomics of the digital revolution (slide 11)]</ref>. The technological development and adoption speeding up at the pace of the Moore’s law has lead to widespread understanding that the technology and automations is capable to disrupt the employment with a same brutal strength as did steam and industrialisation.  


How many of us may be adversely impacted by the advancement of technology? How many of us will lose their current work? Nobody knows the development and impact of technology for sure and estimates vary a lot. Very commonly cited 2013 study by Oxford claims that 47 % of US jobs are in the high risk category, meaning that associated occupations are potentially automatable over some unspecified number of years, perhaps as soon a decade or two <ref>[https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf  The future of employment: How susceptible are jobs to computerisation? (page 37)]</ref>. Luckily other studies do not draw such a grim picture. Yet even OECD claim that in its 21 member countries 9 % of jobs are automatable, whereas they have established substantial heterogenities across OECD countries -  for instance, while the share of automatable jobs is 6 % in Korea, the corresponding share is 12 % in Austria <ref>[https://read.oecd-ilibrary.org/social-issues-migration-health/the-risk-of-automation-for-jobs-in-oecd-countries_5jlz9h56dvq7-en#page1  The Risk of Automation for Jobs in OECD Countries (page 4)]</ref>. Add this to OECD average unemployment rate of 5.2 % <ref>[https://data.oecd.org/unemp/unemployment-rate.htm Unemployment rate]</ref> and you look at possibly 11-17 % of workforce living on social welfare and being frustrated at the collapse of their hopes and dreams. McKinsey has evaluated that ca 51 % of current work activities are technically automatable and depending on the pace of adoption 400-800 million jobs worldwide could be automated by 2030 <ref> [https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi%20jobs%20lost-jobs%20gained_report_december%202017.ashx Mckinsey Global Institute. Job lost, lost gained: Workforce transition in a time of automation (page 2, Exhibit E1)]</ref>.  
How many of us may be adversely impacted by the advancement of technology? How many of us will lose their current work? Nobody knows the development and impact of technology for sure and estimates vary a lot. Very commonly cited 2013 study by Oxford claims that 47 % of US jobs are in the high risk category, meaning that associated occupations are potentially automatable over some unspecified number of years, perhaps as soon a decade or two <ref>[https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf  The future of employment: How susceptible are jobs to computerisation? (page 37)]</ref>. Luckily other studies do not draw such a grim picture. Yet even OECD claim that in its 21 member countries 9 % of jobs are automatable, whereas they have established substantial heterogenities across OECD countries -  for instance, while the share of automatable jobs is 6 % in Korea, the corresponding share is 12 % in Austria <ref name="q">[https://read.oecd-ilibrary.org/social-issues-migration-health/the-risk-of-automation-for-jobs-in-oecd-countries_5jlz9h56dvq7-en#page1  The Risk of Automation for Jobs in OECD Countries (page 4)]</ref>. Add this to OECD average unemployment rate of 5.2 % <ref>[https://data.oecd.org/unemp/unemployment-rate.htm Unemployment rate]</ref> and you look at possibly 11-17 % of workforce living on social welfare and being frustrated at the collapse of their hopes and dreams. McKinsey has evaluated that ca 51 % of current work activities are technically automatable and depending on the pace of adoption 400-800 million jobs worldwide could be automated by 2030 <ref> [https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi%20jobs%20lost-jobs%20gained_report_december%202017.ashx Mckinsey Global Institute. Job lost, lost gained: Workforce transition in a time of automation (page 2, Exhibit E1)]</ref>.  


True, studies also calm the fears and argue that the estimated share of “jobs at risk” must not be equated with expected unemployment rate for three reasons. First, the technological feasibility is just a part of the equation. Adoption of new technologies is a slow process, due to economic, legal and social barriers preventing the adoption of technology at the pace technology evangelist are preaching <ref>[7]</ref>. New technology is just very expensive to implement and sometime labor is still cheaper, more flexible or has other benefits [10]. Second, once the new technologies are adopted, employees can adjust to changing conditions by switching to other tasks tasks, thus not resulting in full technological unemployment. Third, technological revolution inevitably generates additional jobs through demand for new technologies and through higher competitiveness. Based on these reasons OECD is maintaining a relatively sanguine view and argues that automation and digitalisation are unlikely to destroy large numbers of jobs. However, even they admit that a winds of change are blowing and hitting especially hard low qualified workers and people not ready to adopt with new technologies. These people will bear the brunt of the adjustment costs as the automatibility of their jobs is higher compared to highly qualified workers [7, page 4].
True, studies also calm the fears and argue that the estimated share of “jobs at risk” must not be equated with expected unemployment rate for three reasons. First, the technological feasibility is just a part of the equation. Adoption of new technologies is a slow process, due to economic, legal and social barriers preventing the adoption of technology at the pace technology evangelist are preaching <ref name="q"  />. New technology is just very expensive to implement and sometime labor is still cheaper, more flexible or has other benefits [10]. Second, once the new technologies are adopted, employees can adjust to changing conditions by switching to other tasks tasks, thus not resulting in full technological unemployment. Third, technological revolution inevitably generates additional jobs through demand for new technologies and through higher competitiveness. Based on these reasons OECD is maintaining a relatively sanguine view and argues that automation and digitalisation are unlikely to destroy large numbers of jobs. However, even they admit that a winds of change are blowing and hitting especially hard low qualified workers and people not ready to adopt with new technologies. These people will bear the brunt of the adjustment costs as the automatibility of their jobs is higher compared to highly qualified workers [7, page 4].


==What is the mysterious automation threatening us?==
==What is the mysterious automation threatening us?==

Revision as of 04:10, 17 May 2019

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Introduction

Digitalisation and machines are all around us. In addition to pleasures of better communication and access to intellectual richness of the world, digitalisation is also bringing problems. Addiction, separation from the real life, echo chambers of social media, anonymousness as fertilizer for anger and radicalisation to name a few. Above all looms a growing anticipation of a miracle or disaster the technology is bringing to the employment landscape. If you are an optimist, you are looking forward to the 3 day working weeks and increasing leisure time. If you are an pessimist, you are scared of grim future of unemployment and sustenance provided by our silicon overlord or their capitalist owners. How is it going to be?

Just little bits of history repeating

Digitalisation and machines are not the first and most probably will not remain the last radical revolution impacting human employment and civilization. All started with invention of fire, which facilitate radical change in human evolution and cultural change. Fire provided early humans with source of warmth, protection from wilderness and new methods of cooking food. Fire allowed early humans to conquer the world and gave basis for technological advancement. Fire changed us slowly - the technology of fire was adopted over hundreds of thousands of years and we only know for sure that the modern human had fire in widespread use 125,000 years ago [1]. Back then things were rough - masters of the new technology prospered, and hominid species and human tribes without the technology went extinct.

Fast forward 126,500 years to modern 18th century and the fire brought along a new technological revolution - the 18th century saw the invention and proliferation of the steam engine into wide industrial use [2]. The steam engine started the First Industrial Revolution - within just few generations hand production methods were replaced with machines. Although the First Industrial Revolution brought never-seen access to food and goods, as evidenced by rapid population growth, and raise of the middle-class it was not an easy period for peasants and craftsmen whose skills lost value and market power overnight as new factories were built. We can only imagine the changes fire brought to early humans, but difficulties, riots and wars caused by people made miserable by the First Industrial Revolution are well studied and carved into history books [3].

The Second Industrial Revolution with is mass manufacture of steel and chemicals brought the same challenges to the 20th century when established scholars, John Maynard Keynes among them defined and started popularising the concept of “technological unemployment” which means “...unemployment due to our discovery of means of economising the use of labour outrunning the pace at which we can find new uses for labour…”[4] And although technological unemployment is widely seen as a sign of rapid economic development and only a temporary condition, it is surely not fun to feel the progress wiping your employment, self-esteem and sustenance. Thus from human perspective anxiety and anger of people fallen behind the curve and desperately waiting - sometimes years, sometimes decades - for the next wave to lift them up is more than understandable. From this moral, humanitarian and pragmatic point of view - growing equality tended to cause social unrest and trigger wars - the social scientist and politicians discovered the need for social transfers from the rich (taxes) to the poor (social welfare).

How many of us will lose the job to the Information Age?

Now humanity is in Information Age or Information Revolution from head to toe. Earlier paragraphs demonstrated that the technology has replace species, humans and employees for thousands of year. Yet the phenomena of machine-human substitution geared up with the Industrial Revolutions has substantially increased with the Information Age. At first the Information Age created new jobs and created a new science-based professional and technical class on jobs (managerial, research & development, design, healthcare). Gradually the technology started to take over jobs from employees resulting in shift of income from labour to business capital and wage stagnation or reduction for employees [5]. The technological development and adoption speeding up at the pace of the Moore’s law has lead to widespread understanding that the technology and automations is capable to disrupt the employment with a same brutal strength as did steam and industrialisation.

How many of us may be adversely impacted by the advancement of technology? How many of us will lose their current work? Nobody knows the development and impact of technology for sure and estimates vary a lot. Very commonly cited 2013 study by Oxford claims that 47 % of US jobs are in the high risk category, meaning that associated occupations are potentially automatable over some unspecified number of years, perhaps as soon a decade or two [6]. Luckily other studies do not draw such a grim picture. Yet even OECD claim that in its 21 member countries 9 % of jobs are automatable, whereas they have established substantial heterogenities across OECD countries -  for instance, while the share of automatable jobs is 6 % in Korea, the corresponding share is 12 % in Austria [7]. Add this to OECD average unemployment rate of 5.2 % [8] and you look at possibly 11-17 % of workforce living on social welfare and being frustrated at the collapse of their hopes and dreams. McKinsey has evaluated that ca 51 % of current work activities are technically automatable and depending on the pace of adoption 400-800 million jobs worldwide could be automated by 2030 [9].

True, studies also calm the fears and argue that the estimated share of “jobs at risk” must not be equated with expected unemployment rate for three reasons. First, the technological feasibility is just a part of the equation. Adoption of new technologies is a slow process, due to economic, legal and social barriers preventing the adoption of technology at the pace technology evangelist are preaching [7]. New technology is just very expensive to implement and sometime labor is still cheaper, more flexible or has other benefits [10]. Second, once the new technologies are adopted, employees can adjust to changing conditions by switching to other tasks tasks, thus not resulting in full technological unemployment. Third, technological revolution inevitably generates additional jobs through demand for new technologies and through higher competitiveness. Based on these reasons OECD is maintaining a relatively sanguine view and argues that automation and digitalisation are unlikely to destroy large numbers of jobs. However, even they admit that a winds of change are blowing and hitting especially hard low qualified workers and people not ready to adopt with new technologies. These people will bear the brunt of the adjustment costs as the automatibility of their jobs is higher compared to highly qualified workers [7, page 4].

What is the mysterious automation threatening us?

What are those industries where humans could be replaced by AI and machines?

Robotic process automation

Cognitive insight via data analysis

Cognitive engagement

Changes to support the Great Transformation

Conclusion

Sources