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Agentic AI Projects Face High Cancellation Rate Due to Management Issues, Not Model Limits

Gartner's prediction that over 40% of agentic AI projects may be canceled by 2027 is proving accurate, not due to model limitations, but rather issues with governance, data access, ownership, and ROI. Many projects fail because companies deploy AI agents without clear success metrics, proper data integration, or contingency plans for when things go wrong. The industry is seeing a rise in AI

IMPACT Highlights critical management and governance challenges that could hinder enterprise adoption of advanced AI agents.

RANK_REASON Article discusses industry trends and analyst predictions regarding AI projects, rather than a specific event.

Read on Forbes — Innovation →

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Agentic AI Projects Face High Cancellation Rate Due to Management Issues, Not Model Limits

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Robert J. Szczerba, Contributor ·

    Why 40% Of Agentic AI Projects May Be Canceled By 2027

    Gartner warned that over 40% of agentic AI projects may be canceled by 2027. The problem is governance, data access, ownership and ROI.