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MIT study reveals 95% AI deployment failure rate in businesses

A recent MIT study analyzed 300 real-world AI implementations to understand their actual deployment rates and profit metrics. The research found a significant drop-off, with only 5% of evaluated AI projects ultimately being shipped, compared to 60% that reach the evaluation stage and 20% that enter pilot programs. This data highlights a substantial gap between AI's potential and its successful integration into business operations. AI

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IMPACT Reveals a significant gap between AI evaluation and successful business deployment, suggesting challenges in AI integration and ROI realization.

RANK_REASON The cluster describes findings from a research study conducted by MIT. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Mastodon — sigmoid.social →

COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 · [email protected] ·

    🤖 The deployment funnel nobody talks about: 60% evaluate, 20% pilot, 5% ship. MIT tracked 300 real AI implementations against profit metrics. Late 2025, MIT res

    🤖 The deployment funnel nobody talks about: 60% evaluate, 20% pilot, 5% ship. MIT tracked 300 real AI implementations against profit metrics. Late 2025, MIT researchers measured something the industry had avoided looking at directly. Not projections or pilot numbers. Documented o…