Despite Talent Shortages, the Percentage of Enterprises Employing AI Grew 270 Percent Over the Past Four Years
The number of enterprises implementing artificial intelligence (AI) grew 270 percent in the past four years and tripled in the past year, according to the Gartner, Inc. 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 percent of survey respondents reported that their enterprises had deployed AI or would do so shortly. For 2019, that number has leapt to 37 percent — a 270 percent 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.”
The purpose of the 2019 Gartner CIO Survey is to help CIOs and other IT leaders set and validate their management agendas for the coming year. Gartner gathered data from more than 3,000 CIO respondents in 89 countries across major industries, representing $15 trillion in revenue and public-sector budgets and $284 billion in IT spending.
Game-Changer With a Talent Shortage
The deployment of AI has tripled in the past year — rising from 25 percent in 2018 to 37 percent today. The reasons for this big jump is that AI capabilities have matured significantly and thus enterprises are more willing to implement the technology. “We still remain far from general AI that can wholly take over complex tasks, but we have now entered the realm of AI-augmented work and decision science — what we call ‘augmented intelligence,’” Mr. Howard 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 percent of telco organizations deploy chatbots and 38 percent 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,” Mr. Howard said.









![[심층분석] AI 데이터센터가 삼킨 메모리 시장, ‘슈퍼사이클’ 넘어 ‘구조적 격변’ 시작됐다 [심층분석] AI 데이터센터가 삼킨 메모리 시장, ‘슈퍼사이클’ 넘어 ‘구조적 격변’ 시작됐다](https://icnweb.kr/wp-content/uploads/2026/01/memory-market-3player-1024web.png)
![[심층기획] 클라우드를 넘어 ‘현장’으로… 인텔, 산업용 엣지 AI의 판을 흔들다 [심층기획] 클라우드를 넘어 ‘현장’으로… 인텔, 산업용 엣지 AI의 판을 흔들다](https://icnweb.kr/wp-content/uploads/2026/01/Perplexity-image-Edge-AI-industry1b-700web.png)
![[심층기획] AI가 다시 쓴 글로벌 혁신의 방정식… “속도전 끝났다, ‘신뢰’와 ‘질’로 승부하라” [심층기획] AI가 다시 쓴 글로벌 혁신의 방정식… “속도전 끝났다, ‘신뢰’와 ‘질’로 승부하라”](https://icnweb.kr/wp-content/uploads/2026/01/Gemini_Generated_Image_100-innovation-1024web.png)






![[피플] “생성형 AI 넘어 ‘피지컬 AI’의 시대로… 2026 하노버메세, 제조 혁신의 해법 제시” [피플] “생성형 AI 넘어 ‘피지컬 AI’의 시대로… 2026 하노버메세, 제조 혁신의 해법 제시”](https://icnweb.kr/wp-content/uploads/2026/02/R41_0775-HM26-von-press-900web.png)
![[이슈] 스마트 제조의 방패 ‘IEC 62443’, 글로벌 산업 보안의 표준으로 우뚝 [이슈] 스마트 제조의 방패 ‘IEC 62443’, 글로벌 산업 보안의 표준으로 우뚝](https://icnweb.kr/wp-content/uploads/2025/07/OT-security-at-automotive-by-Gemini-Veo-1024x582.png)
![[기자칼럼] 제어반의 다이어트, ‘워크로드 컨버전스’가 답이다… 엔지니어를 위한 실전 팁 7가지 [기자칼럼] 제어반의 다이어트, ‘워크로드 컨버전스’가 답이다… 엔지니어를 위한 실전 팁 7가지](https://icnweb.kr/wp-content/uploads/2026/01/generated-edge-AI-4-in-1-01-1024web.png)




![[그래프] 국회의원 선거 결과 정당별 의석수 (19대-22대) 대한민국 국회의원 선거 결과(정당별 의석 수)](https://icnweb.kr/wp-content/uploads/2025/04/main-image-vote-flo-web-2-324x160.jpg)






