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While 100% of respondents in an MIT Technology Review and Google Cloud report said they plan on using agentic AI within the next two years, only about half of respondents trust the accuracy and relevance of outputs from AI agents.
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The study also found that about 45% of company data is accessible to agentic AI tools on average, with a select group called “data leaders” giving AI access to over 70% of their data. Others report sharing 30% or less of their data.
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The report credits data leaders’ agentic AI success and trust to strong data foundations, while other organizations reported bottlenecks from legacy systems.
Almost every organization (98%) reported using agentic AI, with 73% using it for a limited number of use cases. Only one in 10 use it widely across the organization.
“We must allow agent access to data in safe and trustworthy ways so people can make maximal use of the data, knowing that it’s completely reliable,” said Rajpreet Bajwa, vice president, engineering, data infrastructure, Shopify in the report.
The report mentions a select group it deems “data leaders.” These companies report having greater success with agentic AI and fewer data limitations from legacy systems. While only about 50% of respondents trust their AI agents, 100% of data leaders reported trust in the accuracy and decisions of their AI agents. The report says this is “a strong indicator that reliable AI requires a reliable data foundation.”
Outside of the data leader group, 66% of respondents said legacy systems limited their ability to scale agentic AI, while 68% said legacy systems slow AI agent speed. Other issues include a lack of data context and unification, with 40% of respondents in aTeradata/Wakefield studyreporting these issues despite having solid AI models.
“Organizations are moving rapidly toward an AI-first operating model, where AI is now a core consideration in every business decision, workflow and investment. Without a clear, enterprise-wide commitment, organizations will struggle to consistently realize its full potential across the business,” saidCarlie Idoine, VP Analyst at Gartner.
The report is based on the responses of 300 chief data and analytics officers, chief information officers, chief technology officers, chief AI officers, and heads of product, IT, data and AI across multiple industries.
MITGoogle CloudAgentic AIAI AgentsData context
