What's next for
generative AI?

Take what you’ve learned in this report and transform it into tangible results.

Connect with Insight’s gen AI experts today.

This report serves as a foundation for understanding generative AI, yet its contents are not static.As generative AI evolves, so too will the insights and data within these pages. It will be updated quarterly to keep you in line with the latest advancements, and we encourage you to check back in with us as we continue to document generative AI’s evolution. Together, we can transform the toughest generative AI challenges into opportunities to grow your business with expert — not just artificial — intelligence. RESEARCH METHODOLOGY
A picture containing text, font, graphics, design

Description automatically generated

A picture containing text, font, graphics, design

Description automatically generated

The research was conducted online in the United States by The Harris Poll on behalf of Insight Enterprises. The findings shared in this report are from two independent surveys.Survey 1: Results are based on a survey of 405 U.S. adults ages 25+ who are employed full-time as a director or higher at a company with 1,000+ employees. The survey was conducted from April 26 - May 3, 2023.Survey 2: Results are based on a survey of 601 U.S. adults ages 25+ who are employed full-time as a director or higher at a company with 1,000+ employees. The survey was conducted from Oct. 17–27, 2023.Data are weighted where necessary by number of employees to bring them into line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in our surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within ±4.06 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

All sample surveys and polls, whether or not they use probability sampling, are subject to other multiple sources of error which are most often not possible to quantify or estimate, including, but not limited to, coverage error, error associated with nonresponse, error associated with question wording and response options, and post-survey weighting and adjustments.