AI and related technologies could create around 90 million more jobs in China than they displace over next two decades

By SiliconIndia  |   Tuesday, 18 September 2018, 13:06 Hrs
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AI and related technologies such as robots, drones, and autonomous vehicles could provide a net boost to employment in China of around 12% over the next two decades, equating to around 90 million additional jobs.



Launching the analysis at the World Economic Forum Annual Meeting of the New Champions in Tianjin, PwC estimates that the boost from AI and related technologies to economic growth in China could create millions of new jobs, more than offsetting displacement of existing jobs. But the report argues there is no room for complacency given the projected scale of disruption to the labour market from these technologies.



This new analysis for China contrasts with PwC’s earlier research suggesting a broadly neutral net impact of AI and related technologies on jobs in the UK. In that analysis, PwC found that these technologies could displace around 20% of existing UK jobs by 2037, but could create a similar number of additional jobs by boosting economic growth. Based on previous research, PwC judges that results for the UK are likely to be broadly similar to the average across OECD countries.



Relative to the UK estimates, China is projected to see a higher level of job displacement (26% vs 20%) due to the greater scope for further automation in manufacturing and agriculture in China. But this is more than offset by the larger estimated boost to GDP in China from AI and related technologies, which will also feed through into much greater job creation in China (38%) relative to the UK (20%). The table below sets out the results for China in more detail.



Table 1 - Estimated job displacement and job creation from AI and related technologies in China (2017-37)



































































 




Job displacement




Job creation




Net effect




 




(%)




(million)




(%)




(million)




(%)




(million)




Services




-21%




-72




50%




169




29%




97




Construction




-25%




-15




48%




29




23%




14




Industry




-36%




-59




39%




63




3%




4




Agriculture




-27%




-57




16%




35




-10%




-22




Total




-26%




-204




38%




297




12%




93




Source: PwC analysis (% figures are shown as a share of estimated employment in 2017)



John Hawksworth, lead author of the report and Chief Economist, PwC UK, commented that:



“We expect the sectors benefiting most from AI and robotics to be those such as healthcare that combines strong underlying demand growth with a relatively high propensity to see benefits from application of these technologies. However, it is important to recognize that most of the new jobs created will have nothing directly to do with AI or robots, but will simply be the product of a richer society with consequent increased demand for goods and services of all kinds.



“While we project the net economic impact of AI to be positive, these technologies will be disruptive and our analysis therefore suggests no room for complacency. For governments around the world, the challenge is to maximise the benefits from these technologies, including continuing to invest heavily in the development of world-class AI skills, while mitigating the costs to displaced workers through retraining programmes and a stronger social safety net, funded from the proceeds of increased economic growth. Only in this way can the potential benefits from AI and related technologies be spread as widely as possible across society.”



The study highlights great opportunities to business from investing in AI and related technologies in China, covering all aspects of operations from marketing and product personalization to R&D, productive efficiency, human resource processes and cybersecurity. It also warns there is likely to be significant disruption to existing business models in all parts of the economy, as already seen in sectors like media, entertainment, finance and retail.



James Chang, China Financial Services Consulting Leader, PwC China, commented that:



“As China becomes more innovative and less imitative, Chinese industrial employment is likely to shift from lower value, labor-intensive production to higher value roles, including those involved in the manufacture of AI-enabled equipment for export as well as to meet rising domestic demand.



“Although our findings suggest that the long-term net effect of AI on jobs will be positive for China, the transition to an AI-enabled economy could see considerable disruption to current labor markets as millions of workers need to switch careers and possible locations. China’s ambitious Next Generation AI Plan targets heavy investment in skills development. But this will need to be balanced by increased retraining and support for displaced workers.”



Anand Rao, Global Artificial Intelligence Leader, PwC, commented that:



“The opportunity for AI in China is on a scale that demonstrates the transformative impact that the technology can have on society. It will also mean a ripple effect on the global economy in terms of accelerating innovation, integration and efficiencies that pass through the supply chain globally. The findings show that while technology could displace many jobs formerly done by humans, it will also create at least as many additional jobs and greatly increase economic value. It reinforces our belief that the long-term, economic impact of AI is in its application and integration with people’s work, not in simply replacing them.”



The report notes that a job being at “high risk” of being automated does not mean that it will definitely be automated, because of a range of economic, legal and regulatory, and organizational barriers to the adoption of AI and related new technologies. For China, while almost 40% of jobs could be susceptible to automation by 2037, PwC’s central estimate is that only around a quarter of existing Chinese jobs will actually be displaced over this period, as compared to 38% job creation.



Notes:-



The full report setting out the detailed results of the analysis for China and explaining the methodology behind these estimates will be available from 18 September 2018 at www.pwc.com/ai-china. Advance copies of the report are available to the media under embargo.



The estimates of job displacement for China are based on the same methodological approach as set out in a February 2018 PwC study based on an analysis of the detailed task composition of over 200,000 jobs across 29 OECD countries, but adjusted to reflect the particular characteristics of the Chinese economy.



In PwC’s June 2017 ‘Sizing the Prize’ report, we evaluated thousands of potential use cases for AI across all sectors of the economy and combined these in a global econometric model to value the total potential impact of AI on GDP for the world economy as a whole, as well as for major individual economies including the US, China and the UK. For China, the headline estimate was that GDP could be boosted by up to 26% by 2030 through application of AI and related technologies (by comparison, the global average boost to GDP was estimated at around 14%). In this new report, we make a somewhat more conservative central assumption that Chinese GDP will be boosted by 20% in 2030. This estimate, rolled forward to 2037, provides the basis for the estimate of job creation in the new study.



In 2017, China’s leadership launched the Next Generation AI Plan, a detailed road map of how China intends to become the world leader in AI, tackling areas from R&D and industrialisation to education, skills acquisition and the setting of standards. The plan is one of the most comprehensive AI strategies in the world and provides a strong underpinning for the positive assessment of the potential of AI and related technologies for China in this and other recent PwC studies.



In July 2018, PwC published a similar analysis of the potential impact of AI and related technologies on jobs in the UK, showing a broadly neutral estimated net impact over the next 20 years (as compared to the positive net jobs impact now estimated for China).



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