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Enterprise AI Adoption High, But ROI Measurement Lags · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

A recent survey indicates that while most large enterprises have adopted AI solutions in production, a significant portion struggles to measure their return on investment. The 2026 Enterprise AI Strategy Pulse Survey found that 74% of top companies are running AI in production, but half cannot definitively prove its success. Key challenges include a lack of baseline metrics before deployment and a mismatch between project review cycles and the typical time it takes for AI initiatives to yield positive ROI. AI

IMPACT Highlights the critical need for better measurement frameworks and operational foundations to translate AI deployments into tangible business outcomes.

RANK_REASON The cluster reports on survey findings and expert commentary regarding enterprise AI adoption and ROI measurement challenges, rather than a specific product release or research breakthrough.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Enterprise AI Adoption High, But ROI Measurement Lags · 2 sources tracked

COVERAGE [2]

  1. Forbes — Innovation TIER_1 English(EN) · Sandy Carter, Contributor ·

    Enterprise AI Leaders Ship In Production, Half Cannot Prove It Worked

    Plug and Play's new Enterprise AI survey: 74% of the world's largest enterprises run AI in production. Half cannot say whether it worked. CFOs need an overall AI metric.

  2. Forbes — Innovation TIER_1 English(EN) · Sandy Carter, Contributor ·

    Most Enterprise AI Is Live. Half Of Companies Can't Prove It Works

    Plug and Play's latest Enterprise AI survey finds 74% of the world's largest companies now run AI in production, yet half still can't prove it delivers business value.

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