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.

Advertisement
Advertisement - Article continues below
Advertisement - Article continues below

"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

How inkjet can transform your business

Get more out of your business by investing in the right printing technology

Download now

Journey to a modern workplace with Office 365: which tools and when?

A guide to how Office 365 builds a modern workplace

Download now

Modernise and transform your sales organisation

Learn how a modernised sales process can drive your business

Download now

Your guide to managing cloud transformation risk

Realise the benefits. Mitigate the risks

Download now
Advertisement

Recommended

Visit/technology/artificial-intelligence-ai/354766/mit-develops-ai-tech-to-edit-outdated-wikipedia
artificial intelligence (AI)

MIT develops AI tech to edit outdated Wikipedia articles

13 Feb 2020
Visit/technology/30736/what-is-ethical-ai
Technology

What is ethical AI?

11 Feb 2020
Visit/business-strategy/31780/the-it-pro-panel
Business strategy

The IT Pro Panel

27 Jan 2020
Visit/careers/28212/a-guide-to-cyber-security-certification-and-training
Careers & training

A guide to cyber security certification and training

13 Jan 2020

Most Popular

Visit/mobile/28299/how-to-use-chromecast-without-wi-fi
Mobile

How to use Chromecast without Wi-Fi

5 Feb 2020
Visit/operating-systems/microsoft-windows/354789/microsoft-pulls-disastrous-windows-10-security-update
Microsoft Windows

Microsoft pulls disastrous Windows 10 security update

17 Feb 2020
Visit/operating-systems/27717/how-to-fix-a-stuck-windows-10-update
operating systems

How to fix a stuck Windows 10 update

12 Feb 2020
Visit/cloud/cloud-computing/354767/google-cloud-snaps-up-multi-cloud-analytics-platform-for-26bn
cloud computing

Google Cloud snaps up multi-cloud analytics platform for $2.6bn

13 Feb 2020