AI Isn't Scaling Because Organizations Are Still Designed For Control
•InnovationAI Isn't Scaling Because Organizations Are Still Designed For ControlByAnna Drobakha,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members,...
•Opinions expressed are those of the author.
•| Membership (fee-based)May 19, 2026, 09:30am EDTAnna Drobakha, Global Digital Business & AI Transformation Director at Groupe SEB.
هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
InnovationAI Isn't Scaling Because Organizations Are Still Designed For ControlByAnna Drobakha,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)May 19, 2026, 09:30am EDTAnna Drobakha, Global Digital Business & AI Transformation Director at Groupe SEB. gettyThere's a pattern I keep seeing across organizations.In conversations with leadership teams, the ambition around AI is clear. There's energy, investment and genuine belief that it will reshape how the business operates. Yet when we look at actual impact, progress often feels slower than expected.AI pilots are everywhere, prototypes are promising and leadership conversations are active. Still, real business outcomes remain uneven.The common explanation is technical: not enough data, not the right models, not the right tools. In practice, that’s rarely the real issue. The deeper constraint is organizational.The Misdiagnosis: Treating AI As A Technology ProblemOver the past two years, the accessibility of AI has changed dramatically. Capabilities that once required specialized teams are now available across functions. Experimentation is easier, and entry barriers are lower.Yet outcomes remain uneven. In many cases, the limiting factor is whether the organization is able to work in a way that allows AI to be used effectively.Most companies are still trying to fit AI into structures that were designed for a different era—predictable processes, centralized decision making, clear functional boundaries and controlled execution. These models work well for efficiency and risk management. They struggle when speed, iteration and adaptation become critical.The Structural Conflict: Speed Meets ControlAI introduces a fundamentally different dynamic into organizations.To create value, teams need to move quickly to test ideas, learn continuously, iterate based on...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.




