© 2019 SourceMedia. All rights reserved.

Employers and workers have drastically different views on AI’s impact on their jobs

There are more AI surveys out there than you can shake a stick at, but most of them are of IT implementers or AI experts. Those offer valuable views of AI, but the workers’ views matter as well since (unless they are being replaced) they will have to train and learn to work with the new technology. If they decide to resist, the organization’s plans for AI may be stymied.

artifcial intelligence surveys.jpg
Multiple cables connect to powered supercalculator Blade computer units during testing at the Bull SA headquarters in Angers, France, on Monday, June 23, 2014. Thierry Breton, chief executive officer of software maker Atos, is engineering a 620 million-euro ($846 million) bid to acquire Bull, the company he tried to revive two decades ago. Photographer: Balint Porneczi/Bloomberg

The most interesting findings come from surveying both audiences (why would you want to do that?) and comparing the results. The result can be seen in the infographic below. The expectations regarding AI increasing co-worker collaboration shows the starkest difference. In this digitalized world, employees increasingly value working with others. So the finding that 85% of workers do not think AI increases co-worker collaboration (by taking away mundane tasks) is a bit surprising.

chart AI views.jpg

What this shows is that the softer side of AI implementations needs serious attention. Clearly some groundwork needs to be done. Rolling out a technology with this much of a gap in employee and employer expectations is just asking for trouble.

Consider encouraging employee confidence through training and lunch-and-learn sessions that present AI capabilities as a technology that will work for them (not instead of them). With their support AI can take care of mundane tasks, leaving them with more time for catching up with their flesh-and-blood pals.

(This post originally appeared on Craig Roth's Gartner blog, which can be viewed here).

For reprint and licensing requests for this article, click here.