"When it comes to evaluating the return on investment for cloud-based artificial intelligence projects, the discussion tends to swing between two extreme viewpoints-either enterprises are raking in big gains or they're stuck in a never-ending quagmire of false starts and expensive lessons. Google Cloud's latest study, "The ROI of AI 2025" paints a hopeful picture, claiming that early adopters of AI agents are seeing returns within the first year."
"In my view, both studies have validity, but context is everything. Google Cloud, of course, has a vested interest in showcasing AI success stories to support its cloud ambitions. At the same time, MIT's findings likely reflect the cold reality for a majority of enterprises, many of which lack the resources, funding, and talent to achieve substantive success in AI. Let's unpack this seeming contradiction and explore the real challenges."
Enterprises show sharply divergent outcomes for AI projects depending on investment, alignment, and scale. Early adopters that allocate substantial budgets and embed AI agents across operations tend to realize measurable ROI within a year. Reported figures include 74% of organizations seeing generative AI ROI early and a 13% cohort dedicating at least half their AI budgets to agents. Success concentrates in customer service, marketing, security operations, and software development. Many other organizations struggle due to misaligned resources, insufficient funding, and talent shortages, producing high rates of projects that fail to deliver expected returns.
Read at InfoWorld
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