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آخر تحديث: منذ 4 ثواني

When AI Does The Thinking: What Organizations Risk Losing

تكنولوجيا
Forbes
2026/06/02 - 12:30 515 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationWhen AI Does The Thinking: What Organizations Risk LosingByMateusz Przepiorkowski,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, oper...

Opinions expressed are those of the author.

| Membership (fee-based)Jun 02, 2026, 08:30am EDTMateusz Przepiórkowski is CEO of Appsfactory International, focused on AI leadership, digital transformation and future-ready organizations gettyOver t...

هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

InnovationWhen AI Does The Thinking: What Organizations Risk LosingByMateusz Przepiorkowski,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 02, 2026, 08:30am EDTMateusz Przepiórkowski is CEO of Appsfactory International, focused on AI leadership, digital transformation and future-ready organizations gettyOver the past few weeks, I found myself in a series of conversations that all pointed in the same direction, even if they started from very different places. At both the NAB Show and Google Cloud Next in Las Vegas, nearly every discussion eventually circled back to how dramatically AI is compressing the time from concept to execution.Ideas that once required weeks of coordination, development and iteration can now be turned into something tangible in a matter of hours. Code is generated almost instantly, content appears on demand, and interfaces can be designed, tested and refined with surprisingly little effort.The excitement around this is entirely justified. But what happens when we no longer need to learn the things that once built our expertise? That nagging thought has stayed with me longer than the demos or announcements.Shaping JudgmentIt brought me back to a very different period of computing. In the early 1990s, developers in the demoscene pushed platforms like the Commodore 64, Amiga and Atari ST to their limits, often relying on the assembler to extract every bit of performance from the hardware. There were no high-level tools, no abstraction layers and no shortcuts. If something worked, it was because you understood exactly how the system behaved, down to memory constraints, processor cycles and timing.It was slow, sometimes frustrating and often unforgiving. But it forced a level of understanding that's difficult to replicate today. Those constraints did more than limit what could be built. They sh...
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: AI, organizations, risk.

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