70% of Early AI And Blockchain Tech Adopters Sees Major HR Production Increases: Gartner Report
Blockchain technology and artificial intelligence have created major gains for 70% of early adopters. Research shows that there has been substantial emerging and developing solutions with these technologies.
The use of blockchain technology, as well as artificial intelligence, has been adapted to fit many sectors. A recent article by Gartner states that these two technologies could end up helping HR leaders, adding that over 40% of the large organizations in 2022 will end up using solutions with AI and blockchain.
Matthias Graf, the Senior Director Analyst for Gartner, stated,
“Our research shows that although HR AI and blockchain solutions are far from mainstream, they are definitely emerging and developing – and are here to stay.”
Director Analyst Seyda Berger-Böcker of Gartner remarked that the industry is now entering a place that is filled with AI and blockchain augmented work. Berger-Böcker added that there are already 70% of the early adopters today that state that they’ve seen major gains in their own HR productivity with this technology.
The areas that may see the most progress with the use of AI include:
- Large volumes of the tedious tasks that have yet to be automated
- Massive amounts of data and data sources that usually use enormous HR capacity to develop insights
- Complex decisions that could be impacted by the risk of human error
- Employee and candidate touchpoints
As far as blockchain, the recent article with Gartner says that use cases involving data with blockchain include areas like payroll, privacy regulations, and employment/taxation regulations.
In order to get any of these benefits, HR leaders have to act, and Gartner noted five specific ways to smooth out the use of this technology, like embracing the technology as it is with the limitations presently in place and focusing on the business problems, rather than finding technology solutions. The publication also encourages leaders to be willing to experiment and understand the importance of data involved in adoption.