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Home Artificial Intelligence (AI)

Building a High-Performance Data and AI Organization

Adam Smith – Tech Writer & Blogger by Adam Smith – Tech Writer & Blogger
October 29, 2025
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Building a High-Performance Data and AI Organization
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Introduction to AI and Data Performance

To determine the extent to which organizational data performance has improved as generative AI and other AI advances have taken hold, MIT Technology Review Insights surveyed 800 senior data and technology executives. We also conducted in-depth interviews with 15 technology and business leaders.

Key Findings

Key findings from the report include the following:

  • Few data teams are keeping pace with AI. Organizations are doing no better today at delivering on data strategy than in pre-generative AI days. Among those surveyed in 2025, 12% are self-assessed data “high achievers” compared with 13% in 2021. Shortages of skilled talent remain a constraint, but teams also struggle with accessing fresh data, tracing lineage, and dealing with security complexity—important requirements for AI success.
  • Partly as a result, AI is not fully firing yet. There are even fewer “high achievers” when it comes to AI. Just 2% of respondents rate their organizations’ AI performance highly today in terms of delivering measurable business results. In fact, most are still struggling to scale generative AI. While two thirds have deployed it, only 7% have done so widely.

Download the Report

You can download the full report to learn more about the current state of AI and data performance in organizations.

Conclusion

The report’s findings suggest that while AI has the potential to revolutionize the way organizations operate, many are still struggling to keep pace with the latest advancements. With few organizations achieving high levels of success with their data strategies and even fewer with AI, it’s clear that there is still much work to be done. By understanding the challenges and limitations faced by organizations, we can begin to develop solutions to help them overcome these hurdles and unlock the full potential of AI.

FAQs

Q: What was the purpose of the MIT Technology Review Insights survey?
A: The survey aimed to determine the extent to which organizational data performance has improved as generative AI and other AI advances have taken hold.
Q: How many senior data and technology executives were surveyed?
A: 800 senior data and technology executives were surveyed, in addition to in-depth interviews with 15 technology and business leaders.
Q: What percentage of respondents rated their organizations’ AI performance highly?
A: Just 2% of respondents rate their organizations’ AI performance highly today in terms of delivering measurable business results.
Q: Can I download the full report?
A: Yes, you can download the full report to learn more about the current state of AI and data performance in organizations.

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Adam Smith – Tech Writer & Blogger

Adam Smith – Tech Writer & Blogger

Adam Smith is a passionate technology writer with a keen interest in emerging trends, gadgets, and software innovations. With over five years of experience in tech journalism, he has contributed insightful articles to leading tech blogs and online publications. His expertise covers a wide range of topics, including artificial intelligence, cybersecurity, mobile technology, and the latest advancements in consumer electronics. Adam excels in breaking down complex technical concepts into engaging and easy-to-understand content for a diverse audience. Beyond writing, he enjoys testing new gadgets, reviewing software, and staying up to date with the ever-evolving tech industry. His goal is to inform and inspire readers with in-depth analysis and practical insights into the digital world.

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