"Almost two in five (39%) technology business leaders in a recent IEEE survey said their organizations intend to use generative AI regularly, but selectively, in the months ahead -- up 20% from the same research a year ago. Also: Anxious about AI job cuts? How white-collar workers can protect themselves - starting now Just over a third (35%) said they are "rapidly integrating generative AI, and expecting bottom-line results." In addition, 91% intend to ramp up their use of agentic AI for data analysis over the coming year."
"They have passed the exploration and experimental stage, and it's time for gen AI to prove its mettle -- automating workflows, improving data accuracy, and supporting decision-making, the IEEE authors contend. Also: AI struggles to cite results properly. Can Perplexity and Getty's new partnership fix that? "We're entering a period of healthy skepticism that follows the natural progression of technology-adoption cycles," said IEEE senior member Santhosh Sivasubraman. Exploiting AI effectively Even technologically focused companies are approaching AI and gen AI with both optimism and caution. The challenge is figuring out how to fit AI into the organization in a productive way -- to boost people and its processes."
Generative AI is moving from experimentation into operational use across enterprises, with many leaders planning selective regular deployment and some pursuing rapid integration. Survey results show 39% intend selective regular use, up 20% year over year, while 35% report rapid integration aimed at bottom-line results and 91% plan to increase agentic AI for data analysis. Organizations expect AI to automate workflows, improve data accuracy, and support decision-making. Measuring benefits remains difficult, and concerns include over-reliance, inaccuracies, and the need for transparent intentions to gain workforce acceptance. Adoption is approached with optimism tempered by caution.
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