In addition to the above trends, other findings in the respondents’ data include:

    • The top five reasons cited by respondents for adopting AI were to: increase efficiency (51%), increase productivity (44%), reduce operational costs and increase cost-efficiency (35%), reduce the risk of human error (32%) and remain competitive (29%).
    • Information technology teams (40%), human resources functions (39%) and customer service operations (37%) were the most impacted by AI adoption in respondents’ organizations.
    • The top three strategies for bridging the skills gap impacting AI technology implementation were indicated as: internal upskilling (18%), training and knowledge sharing for AI-related skills (14%) and supporting employees in obtaining AI certification and education(14%).
    • The skills considered most critical for sustaining AI adoption were indicated as: creativity and innovation (43%), adaptability and flexibility (42%), critical thinking and problem-solving (39%), analytical abilities (38%), communication and collaboration (36%), digital literacy (36%) and project management abilities (29%).