Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders
The research surveyed more than 2,000 supply chain leaders and found a chasm between their AI ambition and their AI adoption.
本条来自 WWD（Luxury / Fashion），聚焦 technology、brand。 Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders
The research surveyed more than 2,000 supply chain leaders and found a chasm between their AI ambition and their AI adoption
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- Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders
The research surveyed more than 2,000 supply chain leaders and found a chasm between their AI ambition and their AI adoption
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Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders
By
Roy Stephen Canivel
Roy Stephen Canivel
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There’s a growing chasm between AI ambition and adoption in the supply chain , according to research sponsored by Kinaxis , a cloud-based software company that provides supply chain management and orchestration solutions.
The findings underscore the need for companies to be strategic about how they use AI to prevent costly failures and deliver measurable value.
The research was done by IDC InfoBrief, which surveyed more than 2,000 supply chain leaders across nine markets. It found that while there is nearly universal AI adoption, over half of those surveyed say the lack of trust in AI-driven decisions is becoming a barrier. Just 12 percent of the respondents has AI planning governance fully embedded within the operations.
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The findings also showed high expectations within these companies, with 41 percent expecting autonomous supply chains at scale to be their core operating model within one to two years, even though only one in eight organizations has been fully embedded with AI governance.
“AI adoption isn’t the question anymore. Whether AI delivers trusted decisions, measurable value, and governed autonomy—that’s the question, especially with 52 percent of leaders telling IDC that trust is what’s holding them back,” said Justin King, field chief technology officer at Kinaxis.
“We built Maestro to answer that question. Every AI-driven recommendation is explainable and auditable before it acts, so accountability happens at the decision, not just the policy,” King said, referring to its AI-infused supply chain orchestration platform that combines proprietary technologies and techniques that provide full transparency and agility across the entire supply chain.
Among other key findings, the research also found that only 12 percent of the respondents would consider themselves as AI leaders. The data suggested that the value of AI is yet to be proven for these leaders, 62 percent of whom say better data quality and integration would lead to more investment, while 51 percent want a clear return on investment.
With trust cited as the top barrier to adoption, the solution would require an explainable and auditable AI.
“The next phase of supply chain AI is not simply more adoption. It is accountability—ensuring AI delivers trusted decisions, measurable value, governed autonomy, and operational outcomes,” added Eric Thompson, IDC’s research director, global supply chain planning.
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本条目归入「Technology AI」垂直，涉及真实话题：technology、brand。
· 市场：关注 technology、brand 对相关品类与竞争格局的潜在影响。
· 消费者：受众行为与偏好变化值得追踪。
· 品牌：本动向对品牌资产建设的启示。
· 渠道：内容分发与触点组合（社媒 / 电商 / 线下）的协同值得复盘。
· 核心话题：technology、brand。
· 可思考：如何把「technology」的洞察，转化为可衡量的内容与增长动作？
面试中可引用「Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders」：围绕 technology、brand，说明你对行业动向的判断与可落地动作。
本条目相关英文术语可在「商务英语」模块按话题检索，用于外企面试表达训练。
Viral Nation Wants To Help Brands Get Noticed By AI…
Trust Issues Are Holding Back AI Adoption Among Supply Chain Leaders…