Further findings from the research:

Generative AI is used frequently in day-to-day work, with more than three in five using the tools for data analysis and visualization (74%); task collaboration, such as using as a copilot for research or email summarization (66%); generating written content like reports or presentations (63%); and to help with personalized learning (62%).
Deeper applications to improve the business also are being readily explored, with 59% reporting using generative AI for product design and development; 52% for software development.
A majority of leaders from across the business have been tasked with helping their company define the return on investment of implementing generative AI, particularly delineating how to improve customer satisfaction (65%), enhance service availability (60%), reduce operational costs (57%) and augment staff to improve productivity (56%).
Security concerns remain top of mind for business leaders when it comes to generative AI, with 38% citing security as a top barrier.
However, only 15% consider costs of implementation — including technical debt due to outdated technical infrastructure, initial financial investment and ongoing maintenance costs — as hurdles for their organization.

"There's a lot of exuberance in the market," said Carm Taglienti, chief data officer of Insight's solutions business. "We have seen companies move quickly to try to capitalize on this technology. However, as exciting as these developments are, adoption is happening at a mostly surface level. It's being viewed through rose-colored glasses without enough attention being paid to data readiness or continuous training and upskilling at all levels of the organizations."

Insight Survey: Generative AI Adoption High; Most Trying to Achieve Better Productivity, Customer Engagement

Related Stories

Recommended For You