A new study from research firm Gartner provides a clear link between the use of AI (artificial intelligence) and how long the AI project actually lasts. In the survey, almost half (45%) of companies with very good AI say that AI projects have been in use for more than three years and will help them earn lasting benefits. This is a big difference compared to companies that are not very good at AI. This only lasts 20% of the project.
The study was conducted in late 2024 and asked 432 people from companies in the US, UK, France, Germany, India and Japan. Gartner measured how companies' AI efforts “mature” special models. “Very mature” companies (AI is very good) scored high (about 4.5 out of 4.2-4.5 out of 5), while “low-adult” companies (AI is not very good at it) scored much lower (approximately 1.6-2.2).
Trust is the key to AI success
Gartner has discovered that powerful AI companies can help businesses clearly and make their projects last longer by selecting AI tasks that can be built. They also set good rules and engineering practices.
“We're looking forward to seeing you in the future,” said Birgi Tamersoy, top analyst at Gartner. The survey showed that in 57% of highly mature companies, their business teams trust them and are ready to use new AI tools. This is far higher than low forecasting companies only for 14% of teams who trust the new AI solutions.
Tamersoy said, “Building trust in AI means people can use it and using it is the first step to gain value, so it really helps them succeed.”
Big hurdle: Data and security
No matter how good a company is with AI, getting quality data and having enough data remains the best problem. This was noted by 34% of leaders in low-adult companies and 29% of high-maturity companies.
But the other major issues were different. For AI-friendly companies, 48% of leaders say security threats are the main barrier. However, for companies that are less skilled at AI, 37% of leaders struggled most simply to find the right way to use AI.
The study also found that measuring how well AI works better results can be obtained. Companies with superior AI can regularly check how AI can help them financially and measure their impact on customers, thus making a huge profit from projects. 63% of leaders in highly mature organizations do financial checks for risk, calculate how much money (ROI) AI brings, and clearly measure how customers are affected. This will help make AI successful.
Also, 91% of leaders in very mature organizations said they already have special leaders only AI. These AI leaders focus on encouraging new AI ideas (65%), providing tools and systems for AI (56%), building AI teams (50%), and designing how AI systems work (48%).
Finally, almost 60% of leaders in very mature organizations gathered AI plans, rules, data and tools in one central location. This makes it more consistent and efficient with AI efforts. As Tamersoy pointed out, “This shows a smart way to manage the AI that requires a dedicated AI team.”
