跨学科人工智能供应链风险评估

Gareth Davies, Angela Mison, Richard Ward
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引用次数: 0

摘要

虽然人工智能仍以芯片为基础,是商业和国家战略优势目标的一部分,但审视与实现这些目标相关的安全和风险是有益的。 未来战略岌岌可危地建立在金融和经济现实的不稳定倒三角之上。本文将人工智能芯片供应链描述为一个倒三角形,其基础/核心依赖于全球单一供应商,该供应商有能力生产芯片制造所必需的设备。 本文强调了对单一公司制造这些芯片的依赖,以及该供应商为有限外资控股的台湾公司所带来的安全风险。 报告认为,中国与美国之间日益紧张的关系部分源于这种依赖,"科威德-19 "事件引发的供应链危机就证明了这一点。 为了减少这种依赖性,拜登总统签署了《2022 年 CHIPS 和科学法案》,并使之成为法律。 倒三角形的一部分是大科技公司和主要的云服务提供商。 它们60%至80%的市场资本由金融机构持有,其中大部分由数量非常有限的机构持有,并非所有机构都公开报价。 这些金融机构的影响力不言而喻,截至 2022 年 12 月 31 日,仅一家持有大型科技和云计算公司股份的机构就管理着 8.59 万亿美元的资产。 这代表着经济实力,在国内生产总值排名中介于中国(19.37 万亿美元)和日本(4.41 万亿美元)之间,仅次于美国。 金融机构受市场驱动实现增长,促进经济稳定,并在一定程度上受到非民选既得利益集团和组织的监管。在量子人工智能到来之前,国家人工智能霸主地位的争夺战可能与芯片有关。 当前中国的经济困境为半导体行业的先发制人提供了动力,而倒三角形既不是安全也不是稳定的供应链结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-disciplinary AI supply chain risk assessment
While AI remains chip based and part of both commercial and national strategic superiority goals, it is useful to examine the security and risks associated with achieving those goals.  The future strategy rests perilously on an unstable inverted triangle of financial and economic reality. This paper presents the AI chip supply chain as an inverted triangle which base/apex is dependent on a global single supplier with the capability of producing equipment essential for their manufacture.  It highlights the dependence on a single company for the fabrication of those chips, and the security risks associated with that supplier being Taiwanese in limited foreign ownership.  It is suggested that the increasing tensions between China and the USA have resulted, in part, from this dependence, which was demonstrated by the supply chain crisis resulting from Covid-19.  The attempt to reduce this dependence led to the CHIPS and Science Act 2022, signed into law by President Biden.  In part of the inverted triangle are found Big Tech and the major Cloud Service Providers.  They vary between 60% - 80% of their market capital being in financial institutional ownership, most of which is held by a very limited number of institutions, not all of whom are publicly quoted.  To doubt the influence wielded by those financial institutions, just a single institution with major Big Tech and Cloud holdings has, at 31 December 2022, USD 8.59 trillion of assets under management.  This represents economic power and places it between the equivalent Gross Domestic Product of China (USD 19.37 trillion) and Japan (USD 4.41 trillion) the second and third entries behind the USA in the GDP rankings.  Financial institutions are market driven to achieve growth, contribute to economic stability, and are to an extent regulated by unelected vested interests and organisations. The battlefield for national supremacy of AI may concern chips, until the arrival of quantum AI.   Current Chinese economic woes are providing the momentum for pre-emptive strikes at the semiconductor industry, and an inverted triangle is neither a secure nor stable structure for a supply chain.
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