Gartner: By 2020, AI will create more jobs than it eliminates

AI will eliminate jobs, but also drive up role productivity

In 2020, artificial intelligence will create 2.3 million jobs and eliminate 1.8 million jobs, according to Gartner.

The number of jobs affected by AI will vary by industry, and 2019 will see a growing demand for jobs in healthcare, the public sector and education, while manufacturing will be hit with job losses. By 2020, AI-related job creation will cross into positive territory, reaching two million net-new jobs in 2025, the analyst's Predicts 2018: AI and the Future of Work report found.

Warnings about AI's impact on the economy are constantly in the news, and University of Oxford researchers have predicted that 35% of UK jobs are at risk of automation over the next two decades. But Gartner's findings suggest that AI could also improve the productivity of many roles.

"Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery ... business transformation and AI will likely follow this route," said Svetlana Sicular, research vice president at Gartner.

"Unfortunately, most calamitous warnings of job losses confuse AI with automation. That overshadows the greatest AI benefit: AI augmentation - a combination of human and artificial intelligence, where both complement each other."

For IT leaders, however, the focus shouldn't simply be on the potential increase in jobs. When considering investment in AI-enabled technologies, they must also consider which jobs will be lost, which will be created and how the technology will transform how employees work on a day-to-day basis. Gartner has previously underlined that CIOs will be responsible for choosing which tasks AI perform, and how it can help human workers.

The analyst firm has also predicted that by 2022, one in five workers engaged in non-routine tasks will rely on AI to perform certain jobs. AI has already been applied to highly repeatable tasks, where large volumes of data can be analysed for patterns. But applying AI to less routine work that is more varied will soon start yielding benefits.

AI applied to non-routine work is more likely to assist humans in the long run than replace them, as combinations of humans and machines will perform more effectively than either human experts or AI-driven machines working alone will.

Featured Resources

Navigating the new normal: A fast guide to remote working

A smooth transition will support operations for years to come

Download now

Leading the data race

The trends driving the future of data science

Download now

How to create 1:1 customer experiences at scale

Meet the technology capable of delivering the personalisation your customers crave

Download now

How to achieve daily SAP releases

Accelerate the pace of SAP change to support your digital strategy

Download now

Recommended

MarqVision detects counterfeit products with deep learning and AI
intellectual property

MarqVision detects counterfeit products with deep learning and AI

18 Sep 2020
How to protect against a DDoS attack
Security

How to protect against a DDoS attack

17 Sep 2020
What is ethical AI?
artificial intelligence (AI)

What is ethical AI?

9 Sep 2020
IT Pro Live: The Now and the Next
Technology

IT Pro Live: The Now and the Next

1 Sep 2020

Most Popular

16 ways to speed up your laptop
Laptops

16 ways to speed up your laptop

16 Sep 2020
16 ways to speed up your laptop
Laptops

16 ways to speed up your laptop

16 Sep 2020
Microsoft hints at stand-alone successor to Office 2019 suite
Microsoft Office

Microsoft hints at stand-alone successor to Office 2019 suite

24 Sep 2020