The Gartner study indicates that budget allocation is a primary concern for IT leaders, with 54% prioritizing AI projects that deliver measurable impact and predictable savings. Automation and generative AI are central to enhancing productivity and lowering costs, as demonstrated by a major healthcare organization’s use of AI for improving IT support services. Despite these advancements, integrating AI remains challenging due to budget restrictions and complex dependencies. IT teams are advised to focus on high-impact, feasible use cases and incremental progress to drive meaningful results in AI implementation.
The study reflects a growing tension in the industry, with 95% of AI projects reportedly failing, compelling organizations to focus on areas that yield measurable ROI. Leaders must balance project viability against strategic priorities, as integration costs and associated risks can significantly affect project outcomes. Furthermore, AI should not solely aim at cost reduction but also focus on knowledge generation and enhancing customer experience. The focus of the survey was on productivity-centric AI projects, as IT leaders cautiously navigate budget reallocation while ensuring operational stability alongside innovation.
👉 Pročitaj original: CIO Magazine
