{"id":56048,"date":"2025-11-06T14:28:00","date_gmt":"2025-11-06T22:28:00","guid":{"rendered":"https:\/\/svch.io\/?p=56048"},"modified":"2026-07-15T11:36:33","modified_gmt":"2026-07-15T18:36:33","slug":"enterprises-are-moving-from-ai-experiments-to-performance","status":"publish","type":"post","link":"https:\/\/svch.io\/es\/enterprises-are-moving-from-ai-experiments-to-performance\/","title":{"rendered":"Enterprises Are Moving from AI Experiments to Performance"},"content":{"rendered":"

Based on the 2025 Wharton Human-AI Research & GBK Collective Report<\/a><\/em><\/p>\n

The latest study from Wharton Human-AI Research and GBK Collective offers one of the clearest pictures to date of how organizations are evolving in their adoption of generative AI. The report is led by Dr. Stefano Puntoni<\/strong>, Professor of Marketing and Faculty Co-Director of Wharton Human-AI Research; Dr. Prasanna Tambe<\/strong>, Professor of Operations and Information at Wharton; and Jeremy Korst<\/strong>, Wharton MBA and Partner at GBK Collective.<\/p>\n

Over the past three years, the enterprise relationship with AI has undergone a significant shift. What began as experimentation has now matured into what the authors call \u201cAccountable Acceleration\u201d<\/strong> \u2014 a stage where AI is no longer judged by its promise or novelty, but by its performance<\/strong>.<\/p>\n

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As the report notes:<\/p>\n

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\u201cThree years in, the story is clear: from exploration to experimentation to everyday use. ROI is now measured, and people, not tools, set the pace.\u201d<\/em><\/p>\n<\/blockquote>\n

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This transition marks an inflection point. The question is no longer whether<\/em> companies are using AI, but how effectively<\/strong>, and with what measurable outcomes<\/strong>.<\/p>\n

The study describes the end of the experimental<\/em> phase and the arrival of what the authors call \u201cAccountable Acceleration\u201d<\/strong>: a phase where AI is evaluated not for novelty, but for outcomes, efficiency, confidence, and organizational capability. According to the report, 82% of enterprise leaders now use generative AI at least weekly<\/strong>.<\/p>\n

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How AI Tools Are Actually Being Used: A Market Consolidation Story<\/strong><\/h2>\n
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The first graph in the report compares usage patterns across major generative AI tools. The findings are unambiguous:<\/p>\n