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A new IDC study commissioned by Microsoft reveals enterprises deploying generative AI can expect an ROI of 370%. Generative AI usage has surged from 55% in 2023 to 75% in 2024, with organizations emphasizing productivity and topline growth. Notably, AI leaders are achieving a staggering 10.3x ROI on their investments. However, a significant challenge remains: organizations struggle to find employees with the necessary skills to leverage AI effectively. The transition from using AI solely for efficiency to generating new revenue opportunities is underway, highlighting a broader, transformative potential in the enterprise landscape.
Enterprises seek to quantify AI benefits, focusing on individual employee productivity gains.
Study indicates a 3.7x ROI for every dollar spent on generative AI.
Self-reported ROI estimates indicate significant productivity impacts from AI initiatives.
The emphasis on generative AI's ROI suggests a pressing need for governance frameworks encompassing effective AI use. As organizations ramp up deployments, the narrative of efficiency must evolve toward strategic oversight to mitigate risks associated with unregulated AI applications, particularly in data privacy and job displacement.
The findings on the significant ROI from generative AI investments indicate a substantial market shift. Companies prioritizing AI as a revenue-generating technology rather than merely a cost-cutting tool are positioned to outperform rivals, signaling a transformative phase in enterprise operations that appeals to investors seeking future growth.
This technology is highlighted as driving major productivity and revenue growth within enterprises.
The study notes a 370% average ROI from generative AI investments by enterprises.
Organizations report these use cases delivering the highest ROI globally.
The company's involvement in the study reflects its interests in promoting generative AI capabilities across enterprises.
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IDC's role in conducting the study gives credibility to the insights on generative AI adoption.
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