Gartner: AI adoption growing despite skills shortage

The number of enterprises implementing artificial intelligence (AI) grew 270% in the past four years and tripled in the past year, according to the Gartner 2019 CIO Survey. Results showed that organizations across all industries use AI in a variety of applications, but struggle with acute talent shortages.

“Four years ago, AI implementation was rare, only 10% of survey respondents reported that their enterprises had deployed AI or would do so shortly. For 2019, that number has leapt to 37% — a 270% increase in four years,” said Chris Howard, distinguished research vice president at Gartner. “

If you are a CIO and your organization doesn’t use AI, chances are high that your competitors do and this should be a concern.”

Game-Changer

The deployment of AI has tripled in the past year — rising from 25% in 2018 to 37% today. The reason for this big jump is that AI capabilities have matured significantly and thus enterprises are more willing to implement the technology.

But Howard cautioned that general AI is still far from being able to take over complex tasks, “but we have now entered the realm of AI-augmented work and decision science — what we call ‘augmented intelligence,’” he added.

CIOs have realized that sustainable digital transformation and task automation go hand in hand. AI has become an integral part of every digital strategy and is already used in a variety of applications. Survey results show that 52% of telco organizations deploy chatbots and 38% of healthcare providers rely on computer-assisted diagnostics. Other operational use cases for AI are fraud protection and consumer fragmentation.

The more enterprises work with AI, the clearer the deployment challenge becomes. Fifty-four percent of respondents to a Gartner Research Circle Survey view skill shortage as the biggest challenge facing their organization.

“In order to stay ahead, CIOs need to be creative. If there is no AI talent available, another possibility is to invest in training programs for employees with backgrounds in statistics and data management. Some organizations also create job shares with ecosystem and business partners,” Howard concluded.