The survey findings, based on a study conducted among 350 global technology leaders, suggest a need for education and organizational preparation when it comes to using Generative AI. Despite obstacles, there is a significant trend towards AI adoption, with 70% of respondents indicating plans to introduce natural language processing tools in the coming year. The top use cases for AI include real-time cybersecurity, supply chain efficiency, software development, customer service automation, and job applicant screening.
However, executives expressed concerns about overreliance on AI, difficulties in sharing knowledge and training employees, as well as integrating AI into existing workflows. The quality of training data is also an issue, as AI systems can perpetuate biases based on biased or inaccurate training data. Additionally, the lack of individuals with appropriate expertise in Generative AI poses a challenge, with technical and soft skills being sought after for AI-related roles.
Ironically, more AI is needed to build AI, as the availability of human resources for coding remains a bottleneck in technology. In conclusion, while Generative AI offers significant potential, its adoption requires careful consideration and preparation to mitigate potential challenges and concerns.