We are thrilled to share the results of the third annual Path to AI Maturity report, featuring insights based on our survey of over 300 enterprise organizations in the US. This year we included a special section on Generative AI given the frenzy in the industry over this technology. Our research was conducted between late 2023 and early 2024, reflecting over a year of activity since the launch of ChatGPT.

Here are some of the key takeaways from this year’s research:

72% of organizations have reached the higher levels of AI maturity.

Each year as part of the survey, we ask participants to place their companies on the Gartner AI Maturity Model. According to this year’s results, 72% of organizations claim to have reached the higher levels of maturity, from Operational (AI in production, creating value) to Transformational (AI is part of business DNA) status.

The most significant shift is in the mid-range, where nearly a third of companies state that AI is now in production and creating value. To achieve this, half of all organizations invest between $1 million and $50 million, and more than ten percent reported an AI budget between $50 million and $500 million. 

Gartner AI Maturity Model, percentages of companies

Nearly seventy percent of companies say that Generative AI is more important than other AI initiatives.

According to 69% of respondents, generative AI is more important to their organizations than other AI initiatives, and 11% say it is much more important. The three top uses for generative AI include creating documentation (38%), improving decision-making (36%) and marketing (35%). Only 1% of all organizations do not use generative AI solutions.

Organizations value data quality over quantity for time-to-market success.

The majority of respondents stated that their needs for training data will increase in the next two to five years. And nearly twice as many stated that data quality (62%) is more important than data volume (38%) for AI project success, a finding in line with today’s data-centric AI approaches. Top categories for the ROI of high-quality training data include time-to-market acceleration (32%), higher success rates of AI programs (32%), and increased customer satisfaction (31%).

Learn more in the full report

In our report with the full findings, you can learn more about how organizations are achieving AI maturity, including insights by industry.

Download the full findings here.