انحصار فناوری در عصر هوش مصنوعی: هژمونی بنگاه‌ها و آینده نهاد علم

نوع مقاله : ترویجی

نویسنده

دانشیار آینده پژوهی، مؤسسه مطالعات فرهنگی و اجتماعی،تهران، ایران

10.22034/rahyaft.2026.12246.1651

چکیده

هدف: پژوهش حاضر با هدف واکاوی تحولات ساختاری در اقتصاد سیاسی دانش و بررسی پیامدهای تسلط شرکت‌های بزرگ فناور بر آینده نهاد علم، به‌ویژه در کشورهای در حال توسعه نظیر ایران، تدوین شده است. هدف اصلی این اثر، شناسایی تهدیدهای ناشی از جابه‌جایی گرانیگاه نوآوری از دانشگاه به بنگاه و ارائه راهبردهای سیاست‌گذارانه برای حفظ استقلال علمی در عصر دیجیتال است.
پیشینه: تحولات اخیر در عرصه هوش مصنوعی نشان‌دهنده خروج تدریجی مرجعیت علمی از تالارهای دانشگاه و تمرکز آن در اتاق‌های هیئت‌مدیره ابرشرکت‌ها است. پژوهش‌های انجام شده مؤید آن است که این تغییر پارادایم ناشی از تمرکز بی‌سابقه سرمایه‌های تحقیق و توسعه در بخش خصوصی و ایجاد شکافی عمیق میان بودجه‌های عمومی و خصوصی است که نهاد آکادمیک را به یک «مستأجر پلتفرمی» تقلیل داده است.
روش پژوهش: این مطالعه با رویکردی ترکیبی شامل تحلیل اسنادی و روندپژوهی انجام شده است. داده‌های مورد نیاز از طریق واکاوی گزارش‌های مالی ابرشرکت‌های فناوری و آمارهای مراجع بین‌المللی نظیر شاخص هوش مصنوعی استنفورد در یک بازه زمانی چهارده‌ساله (۲۰۰۴ تا ۲۰۱۸ و ۲۰۱۱ تا ۲۰۲۲) گردآوری و با رویکرد اقتصاد سیاسی دانش تحلیل شده‌اند.
یافته‌ها: یافته‌های پژوهش حاکی از شکل‌گیری یک «دیوار هزینه‌های سرمایه‌ای» نفوذناپذیر و الیگاپولی زیرساختی است که امکان رقابت مستقیم دانشگاه با صنعت را مسدود کرده است. پدیده جذب ساختاری استعدادها نشان می‌دهد که سهم دانشگاه‌ها در حفظ نخبگان هوش مصنوعی به ۲۰ درصد سقوط کرده است. همچنین، تسلط بر کلان‌داده‌ها منجر به نوعی «استعمار داده‌ای» شده که تنوع علمی را محدود و مؤسسات علمی را به مصرف‌کنندگان منفعل محصولات شرکتی تبدیل کرده است.
نتایج: نتایج نشان می‌دهد که نهاد علم برای برون‌رفت از این وضعیت باید «زمین بازی» خود را تغییر دهد. راهبردهای پیشنهادی شامل تمرکز بر هوش مصنوعی حوزه‌ای و داده‌های غیرقابل تملک بومی، تشکیل کنسرسیوم‌های زیرساختی منطقه‌ای برای عبور از موانع مالی و فعال‌سازی دیپلماسی «علم باز» برای حفظ دانش به عنوان یک خیر عمومی است تا بدین‌وسیله جایگاه تاریخی دانشگاه به عنوان موتور محرک توسعه مستقل بازیابی شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

AI Monopoly: Corporate Hegemony and the Future of Science

نویسنده [English]

  • Mohammad Hosseini Moghadam
Associate Professor of Futures Studies, Institute of Cultural and Social Studies, Tehran, Iran,
چکیده [English]

The findings indicate that the shift of scientific authority to technology firms is not a temporary fluctuation but a structural paradigm shift. To counter this, scientific institutions, especially in developing countries, must adopt a strategy of "changing the playing field". Instead of futile direct competition in general-purpose foundational models, universities should leverage their deep domain expertise and access to "sovereign data"—longitudinal, micro-level, and governmental datasets in fields like macroeconomics, climate change, and public health—which are less accessible to commercial entities. Strategically, the formation of regional and international infrastructure consortia is essential to aggregate resources and overcome the CapEx wall.
Given the structural CapEx wall identified in this study – where the training cost of a single frontier model such as Gemini Ultra surpasses the annual budgets of leading academic AI labs – the paper argues that universities in developing countries should change the playing field rather than attempting to compete in general-purpose frontier models. This implies a strategic pivot towards deep domain expertise and sovereign longitudinal micro-data in areas such as macroeconomics, climate and public health, where commercial actors face higher entry barriers.
Finally, an aggressive "Open Science" diplomacy is required to defend knowledge as a "public good," promoting open-source models and legal frameworks to combat data colonialism and ensure that AI-driven discoveries serve global sustainable development.
Each of these policy directions is directly anchored in the four empirical dimensions identified in this study (infrastructure oligopoly, talent drain, data colonialism and narrowing diversity), and is informed by emerging international experiments with shared AI infrastructures and open science frameworks.

کلیدواژه‌ها [English]

  • Artificial Intelligence
  • Corporate Hegemony
  • Institution of Science
  • Capital Expenditure Wall
  • Brain Drain
  • Data Colonialism
  • Infrastructure Oligopoly

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