GITNUX MARKETDATA REPORT 2024

Must-Know Automation Of Jobs Statistics [Current Data]

Highlights: The Most Important Automation Of Jobs Statistics

  • By 2025, 52% of all jobs globally could be at risk of being automated.
  • Automation will displace 75 million jobs but create 133 million new ones worldwide by 2022.
  • 45% of work activities in the US could be automated, representing $2 trillion in labor costs.
  • 57% of jobs in the financial industry could be at risk of being automated.
  • 47% of total US employment is at risk of being automated in the next two decades.
  • The manufacturing sector has experienced a 22% decline in jobs due to automation since 2001.
  • Automation will affect 60% of occupations, with at least 30% of activities replaceable by automation.
  • In Australia, over five million jobs (44% of all jobs) could be at risk of being automated by 2030.
  • 37% of workers in the US are worried about losing their jobs due to automation.
  • By 2030, 15.4 million jobs in Britain could be at risk of automation.
  • In Germany, automation could affect around 18 million jobs by 2030.
  • In developing countries, 69% of jobs are at risk of automation.
  • Office and administrative support jobs will be the most impacted by automation, with around 12 million jobs at risk.
  • Automation could contribute to a significant productivity growth of 0.8 – 1.4% annually.

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The future of work is changing rapidly, and automation is playing a major role in this transformation. Automation has the potential to both displace jobs as well as create new ones, with estimates ranging from 75 million job losses worldwide by 2022 to 133 million new jobs created over the same period. In OECD countries alone, around 14% of jobs could be automated while 45% of activities in US workplaces are estimated to be replaceable by machines – representing $2 trillion in labor costs. The impact on different industries varies significantly; for example 57% of financial industry roles may become automated compared to only 1 percent globally across all occupations by 2025.

In addition, there are regional differences when it comes to automation’s effect on employment: 49% of Japanese workers’ roles could potentially be replaced while 47%, 44%, and 37 % respectively face similar risks in Australia, Canada and the United States within two decades or less. Developing countries have even higher levels at risk – 69%. Middle-skill positions such as manufacturing will likely experience some 74% displacement due largely due robots taking over manual tasks like packing boxes or stocking shelves (as seen with Amazon’s 60K robot workforce). Office support staff also stand out among those most affected with 12 million American office worker roles predicted lost through 2030 according to one report .

Despite these figures however , McKinsey Global Institute suggests that overall productivity growth should increase 0.8–1.4 percent annually thanks mainly due increased efficiency brought about by automation technologies . It remains unclear how many people will actually lose their current job but what we do know is that technology can help us make better decisions faster than ever before which means more opportunities for everyone involved if managed correctly .

The Most Important Statistics
By 2025, 52% of all jobs globally could be at risk of being automated. This statistic is a stark reminder of the potential impact automation could have on the global job market. It paints a picture of a future where a majority of jobs could be replaced by machines, leaving many people without work. This is a worrying prospect, and one that should be taken seriously by policy makers and employers alike. Automation will displace 75 million jobs but create 133 million new ones worldwide by 2022. This statistic is a powerful indicator of the potential impact of automation on the global workforce. It highlights the fact that automation will have a significant effect on the number of jobs available, with a net increase of 58 million jobs. This is an important point to consider when discussing the implications of automation on the job market, as it shows that while some jobs may be lost, new opportunities will be created. This statistic is a valuable insight into the future of the job market and the potential for automation to create new opportunities.

Automation Of Jobs Statistics Overview

45% of work activities in the US could be automated, representing $2 trillion in labor costs.

This statistic is a powerful indicator of the potential impact of automation on the US workforce. It highlights the sheer scale of the economic disruption that could be caused by automation, with $2 trillion in labor costs at stake. This figure is a stark reminder of the need for businesses and governments to plan for the future of work, and to ensure that workers are equipped with the skills and resources they need to remain competitive in an increasingly automated world.

57% of jobs in the financial industry could be at risk of being automated.

This statistic is a stark reminder of the potential impact automation could have on the financial industry. It highlights the need for businesses to be aware of the potential risks posed by automation and to take steps to ensure their employees are not left behind. It also serves as a warning to those considering a career in the financial industry, as they may need to be prepared for the possibility of their job being automated in the future.

47% of total US employment is at risk of being automated in the next two decades.

This statistic is a stark reminder of the potential impact automation could have on the US job market in the coming years. It highlights the need for businesses and policy makers to take proactive steps to ensure that the transition to automation is managed in a way that minimizes the disruption to the labor force. It also serves as a warning to those who may be complacent about the potential effects of automation on their job security.

The manufacturing sector has experienced a 22% decline in jobs due to automation since 2001.

This statistic serves as a stark reminder of the impact automation has had on the manufacturing sector. It highlights the fact that automation has had a significant effect on the number of jobs available in this sector, with a 22% decrease in jobs since 2001. This statistic is an important piece of evidence to consider when discussing the effects of automation on the job market.

Automation will affect 60% of occupations, with at least 30% of activities replaceable by automation.

This statistic is a stark reminder of the potential impact of automation on the job market. It highlights the fact that a significant portion of occupations and activities could be replaced by automation, which could have a major effect on the workforce. This statistic is a powerful indicator of the potential disruption that automation could cause, and it is important to consider the implications of this when discussing the automation of jobs.

In Australia, over five million jobs (44% of all jobs) could be at risk of being automated by 2030.

This statistic is a stark reminder of the potential impact automation could have on the Australian workforce. It highlights the need for businesses and governments to take proactive steps to ensure that workers are not left behind in the automation revolution. It also serves as a warning to those who may be complacent about the potential for automation to disrupt the job market. The statistic is a powerful reminder that automation is not just a distant possibility, but a very real and present threat.

37% of workers in the US are worried about losing their jobs due to automation.

This statistic serves as a stark reminder of the potential impact automation can have on the workforce. It highlights the fear and uncertainty that many workers in the US are feeling as automation continues to become more prevalent in the workplace. This statistic is a powerful reminder of the need to ensure that workers are protected and that automation is implemented responsibly.

By 2030, 15.4 million jobs in Britain could be at risk of automation.

This statistic is a stark reminder of the potential impact automation could have on the British workforce. It highlights the need for businesses and governments to take proactive steps to ensure that the transition to automation is managed in a way that minimises job losses and maximises the potential benefits of automation. It also serves as a warning to individuals to be aware of the potential for automation to disrupt their current job and to be prepared to adapt to the changing job market.

In Germany, automation could affect around 18 million jobs by 2030.

This statistic is a stark reminder of the potential impact automation could have on the German workforce in the coming decade. It highlights the need for proactive measures to be taken to ensure that those affected by automation are supported and that the transition to a more automated economy is managed responsibly. This statistic is a call to action for policy makers, employers, and citizens alike to take steps to ensure that automation is used to benefit society as a whole.

In developing countries, 69% of jobs are at risk of automation.

This statistic is a stark reminder of the potential impact automation could have on developing countries. It highlights the need for governments and businesses to take proactive steps to ensure that the transition to automation is managed in a way that minimizes the disruption to the workforce. It also serves as a warning that automation could have a disproportionate effect on developing countries, where the majority of jobs are at risk of being replaced by machines.

Office and administrative support jobs will be the most impacted by automation, with around 12 million jobs at risk.

This statistic is a stark reminder of the potential impact automation can have on the job market. It highlights the fact that office and administrative support jobs are particularly vulnerable to automation, with a staggering 12 million jobs at risk. This is a significant number and serves as a warning to those in the industry to be prepared for the changes that automation may bring.

Automation could contribute to a significant productivity growth of 0.8 – 1.4% annually.

This statistic is a powerful indicator of the potential that automation has to offer in terms of productivity growth. It highlights the fact that automation can be a major driver of economic growth, as it can help businesses increase their output and efficiency. This is especially important in a blog post about automation of jobs, as it shows that automation can be a viable solution to the problem of job losses due to automation. It also demonstrates that automation can be a powerful tool for businesses to increase their productivity and profitability.

Conclusion

The statistics presented in this blog post demonstrate the potential impact of automation on jobs around the world. Automation could displace up to 75 million jobs globally by 2022, with middle-skill occupations such as manufacturing and office support being particularly vulnerable. In OECD countries, 14% of all jobs are at risk while developing countries face a much higher 69%. The financial industry is also expected to be heavily impacted, with 57% of its current roles potentially automated.

However, it’s important to note that automation will not only lead to job losses but create new opportunities too – 133 million new ones worldwide by 2022 according to one estimate. It may even contribute significantly towards productivity growth over time (0.8 – 1.4%). Ultimately, governments must take proactive steps now in order for workers everywhere can benefit from these changes rather than suffer due them

References

0. – https://www.pwc.co.uk

1. – https://www..deloitte.com

2. – https://www.pewresearch.org

3. – https://www.forbes.com

4. – https://www.oxfordmartin.ox.ac.uk

5. – https://www.nytimes.com

6. – https://www.pubdocs.worldbank.org

7. – https://www.businessinsider.com

8. – https://www.noeticgroupconsulting.app.box.com

9. – https://www.weforum.org

10. – https://www.mckinsey.com

11. – https://www.worldbank.org

FAQs

What is the impact of automation on job displacement?

Automation has the potential to displace jobs that involve routine tasks, such as those in manufacturing, retail, or transportation. However, it also leads to the creation of new jobs in areas such as research, data analysis, and software development.

Which industries are most likely to be affected by automation?

Industries with a high number of routine and repetitive tasks, such as manufacturing, retail, food services, and transportation, are more likely to be affected by automation. Industries that require more creativity, critical thinking, and social interaction are less likely to be significantly impacted.

What is the role of education and reskilling in mitigating the effects of automation on jobs?

Education and reskilling are critical to ensuring workforce adaptability in the face of automation. By providing workers with the necessary skills to transition into new industries or roles, the negative effects of job displacement can be minimized, and workers can remain competitive in the job market.

How does automation affect job quality and worker well-being?

In some cases, automation can lead to an increase in job quality by reducing the amount of physically demanding or monotonous tasks workers are required to perform. Additionally, automation can lead to increased productivity, which in turn may result in higher wages for workers. However, automation can also lead to job displacement or job insecurity for those working in industries heavily impacted by automation technology.

What policies can be implemented to address the challenges posed by automation of jobs?

Policies that promote education, lifelong learning, and skills development can help workers adapt to the changing job market. Additionally, social safety nets and income support measures can provide financial stability for those affected by job displacement. Governments can also invest in sectors with low automation risk to promote job growth and diversification.

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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