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Why The Model Isn’t The Hard Part, The Workflow Is

تكنولوجيا
Forbes
2026/06/12 - 11:00 501 مشاهدة
تحليل ذكي | AI Editorial Analysis
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InnovationWhy The Model Isn’t The Hard Part, The Workflow IsByEmily Lewis-Pinnell,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 12, 2026, 07:00am EDTEmily Lewis-Pinnell, Driving AI Adoption at Evaila. getty​We’ve seen the AI adoption numbers. Organizational adoption has reached 88%. MIT’s NANDA lab found that 95% of generative AI pilots deliver zero measurable P&L impact. McKinsey and BCG tell versions of the same story from different angles: a small minority of organizations are capturing real value from AI, while most are not.These numbers have been circulating for months. What has been missing is a clear picture of what the organizations succeeding with AI adoption are actually doing differently.A new study from Stanford’s Digital Economy Lab offers the most useful answer I have seen, and it documents what I have observed repeatedly working with clients on AI adoption. The Enterprise AI Playbook, published in April 2026 by Pereira, Graylin and Brynjolfsson, examined 51 deployments that delivered measurable value across 41 organizations, seven countries and over a million employees. Rather than surveying sentiment, they studied what worked and reverse-engineered the patterns.Technology Not The Hard PartWhen Stanford’s researchers asked practitioners across those 51 successful deployments to identify the hardest challenge, 77% pointed to invisible costs: change management, data quality and process redesign. Not the model. Not the infrastructure. Even amongst the organizations that got it right, the hardest work was organizational, not technical.For 42% of implementations, the foundation model itself was fully interchangeable. The durable advantage was in the workflow design, not the AI.And 61% of those successful deployments included at least one prior failure. The earlier failures shared a pattern: teams trea...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: model, workflow, AI.

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