"Both are correct. MIT measured broken process automation. G2 measured decision architecture being rebuilt first. 95% don't know what problem they're solving. "
What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI
Source Summary
New data from G2 reveals that nearly 60% of companies have AI agents in production, with a failure rate of less than 2%. Key use cases include customer service, business intelligence, and software development, with many organizations reporting significant cost savings and improved workflows. Trust in AI agents is building gradually, with security concerns remaining a challenge. A hybrid approach with human oversight tends to yield better results, and organizations are encouraged to start deployments by addressing specific business problems.
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Let’s put AI to work.
Copyright © 2026 Valliance. All rights reserved.
Let’s put AI to work.
Copyright © 2026 Valliance. All rights reserved.
Let’s put AI to work.
Copyright © 2026 Valliance. All rights reserved.
Let’s put AI to work.
Copyright © 2026 Valliance. All rights reserved.














