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The rise of generative AI and LLMs is reshaping the global landscape of computational infrastructures. Massive investments in hardware and software are required, raising pressing questions about technological monopolies, digital divides, and the role of public institutions. Recalling the historical evolution of ICT infrastructures, we argue in this paper for a different long-term perspective on AI development—one where agents and MASs serve as the conceptual and technical foundation of scalable, sustainable, and open AI frameworks. Such an approach can help address the challenges of sustaining AI research within public contexts and promote democratic control over AI technologies and applications in the public interest.

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AI Infrastructure: From Gigastructure to Edge Intelligence with Multi-Agent Systems

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Andrea Omicini,
  • Alessandro Ricci,
  • Viviana Mascardi

摘要

The rise of generative AI and LLMs is reshaping the global landscape of computational infrastructures. Massive investments in hardware and software are required, raising pressing questions about technological monopolies, digital divides, and the role of public institutions. Recalling the historical evolution of ICT infrastructures, we argue in this paper for a different long-term perspective on AI development—one where agents and MASs serve as the conceptual and technical foundation of scalable, sustainable, and open AI frameworks. Such an approach can help address the challenges of sustaining AI research within public contexts and promote democratic control over AI technologies and applications in the public interest.