Over a third of global CIOs are facing challenges in achieving their AI aspirations due to a lack of crucial skills in AI, data, and automation. A recent survey of 650 technology leaders from enterprises worldwide revealed that 35% of them are struggling to retain or attract talent in these key areas, posing a significant threat to their AI ambitions.
The research, conducted by IDC InfoBrief and commissioned by Expereo, Enterprise Horizons 2024, found that despite AI being a top priority for CIOs globally, many enterprises are falling short in terms of expertise. Not only are they struggling to recruit or retain the right talent, but they are also facing issues with external technology partners who may not have the capabilities to support AI initiatives effectively.
Among the leading obstacles to achieving AI ambitions are challenges related to AI governance and ethics, such as regulation, trust, and data protection. Additionally, training employees for new ways of working brought about by AI is a significant IT challenge, as is understanding how employees utilize AI tools.
Network performance and flexibility are also key factors hindering companies from implementing AI at scale. Issues such as network performance, application responsiveness, and scalability on demand are prevalent concerns among global respondents. Interestingly, recruiting networking talent was cited as a more significant challenge than hiring data, AI, and automation experts, highlighting the crucial need for core infrastructure talent.
Despite these challenges, a significant number of CIOs are cautiously moving forward with AI implementation, while others are eager to take on AI initiatives. However, there is a portion of enterprises that are not yet ready to embrace AI fully. The survey also revealed that cybersecurity AI initiatives are expected to be implemented by over a quarter of global respondents in the next 12 months.
Ben Elms, CEO of Expereo, emphasized the importance of balancing innovation, responsibility, and effectiveness in adopting AI technology. He highlighted the need for outsourcing expertise and partnering with the right technology providers to support AI initiatives successfully.
In conclusion, while global CIOs are optimistic about AI, they must address the skills gap in AI, data, and automation to realize their AI ambitions fully. By focusing on networking technology, data strategies, and core tech infrastructure, enterprises can overcome the hurdles hindering their AI initiatives and drive innovation successfully.
Read more about the IDC InfoBrief, Enterprise Horizons 2024, for comprehensive insights into the challenges and opportunities in AI implementation.
