<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">IED</journal-id><journal-title-group><journal-title>International Economy and Development</journal-title></journal-title-group><issn>2995-4339</issn><eissn>2995-4355</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/IED.2025080017</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>《智本论》与共享社会经济学意义探讨</title><url>https://artdesignp.com/journal/IED/3/8/10.61369/IED.2025080017</url><author>廖佳晖</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>8</issue><history><date date-type="pub"><published-time>2025-08-20</published-time></date></history><abstract>在全球新一轮科技革命与产业变革的深刻重塑下，以人工智能（AI）、大数据、算力和大模型为代表的新兴要素正以前所未有的深度与广度重构全球经济肌理，催生了全新的生产方式、组织形态与价值逻辑。传统经济学理论在解释这些现象时日益显现出其分析范式的局限性。本文系统阐述&amp;ldquo;智本论&amp;rdquo;这一适应新经济现实的前沿理论体系。该理论将上述新兴要素整合为&amp;ldquo;智本&amp;rdquo;这一核心概念，深入剖析其内涵、形成机制与独特属性，并构建以智本为核心的经济增长与价值创造模型。文章进一步引入关键发展节点预测&amp;mdash;&amp;mdash;2028年AI总算力超越全人类，2039年AI生产力全面超越人类&amp;mdash;&amp;mdash;并据此推演，当物质生产极大丰富后，人类社会将迈向以共享为核心的新阶段，最终指向构建人类命运共同体的宏伟愿景。&amp;ldquo;智本论&amp;rdquo;不仅为理解和驾驭当下新经济提供分析框架，更为规划人类共同未来指明方向。</abstract><keywords>智本论,人工智能,算力奇点,新生产要素,共享社会,人类命运共同体</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]Brynjolfsson, E., &amp;amp; McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton &amp;amp; Company.[2]Grace, K., Salvatier, J., Dafoe, A., Zhang, B., &amp;amp; Evans, O. (2018). When Will AI Exceed Human Performance? Evidence from AI Experts. Journal of Artificial Intelligence Research, 62, 729&amp;ndash;754.[3]Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Viking.[4]Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., &amp;amp; Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.[5]OpenAI. (2018). AI and Compute. OpenAI Blog.[6]Standing, G. (2017). Basic Income: And How We Can Make It Happen. Penguin UK.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
