"The great AI sobering-up is upon us. After years of feverishly racing to adopt AI -- for uses that weren't always entirely clear -- some businesses and industry analysts have been slowing down, taking a deep breath, and trying to be more methodical in how they use the technology. Part of that has meant assessing what's working and what's been regularly challenging across industries."
"Conducted across the US, UK, India, and Germany, the survey polled 253 I&O employees responsible for overseeing their respective employers' IT ecosystems to understand how their organizations were using AI and the biggest challenges they faced in adopting the technology. Half of all respondents cited budget constraints as the biggest factor preventing their companies from incorporating AI, while slightly less (48%) said "integration difficulties" were their biggest bottleneck."
More organizations are shifting from hype to pragmatic AI adoption, emphasizing cost reduction and operational automation. A Gartner survey of 253 infrastructure and operations employees across the US, UK, India and Germany found 54% of I&O leaders using AI to reduce spending. Half of respondents cited budget constraints as the primary barrier to AI adoption, while 48% pointed to integration difficulties. Evidence indicates many businesses are not achieving significant returns from AI investments, with a separate MIT study finding up to 95% see limited ROI. Routine automation is highlighted as a practical path to measurable value.
Read at ZDNET
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