According to www.thescxchange.com, a recent survey from the global technology market-intelligence firm IDC reveals that rapid expectations for artificial intelligence in logistics are colliding with a significant governance vacuum. While nearly half of respondents expect autonomous operations within two years, only a tiny fraction currently possess the necessary oversight frameworks.
Widening gap between ambition and oversight
The research, titled “Making Supply Chain AI Accountable,” highlights a stark disconnect in the industry. Although 6% of respondents describe their supply chains as fully autonomous today, 41% expect this model to become their core operating strategy within one to two years. However, the infrastructure to support this rapid transition is largely absent.
According to the report, only 1 in 8 organizations currently maintains a governance model capable of supporting a comprehensive AI rollout. This oversight deficit is described as an “accountability gap” that leaves companies vulnerable to costly operational failures.
Trust and data quality drive hesitation
When asked to identify the primary barriers to accelerating AI adoption, 52% of respondents cited a lack of trust in AI-driven decisions. The survey, which surveyed more than 2,000 supply chain leaders across 9 global markets, found that skepticism persists despite the perceived value of the technology.
Companies’ biggest concerns regarding autonomous or agent-based AI systems include data quality and integration, cited by 31% of respondents. Governance and accountability concerns followed at 19%, with incorrect decisions and loss of human control rounding out the top fears.
Leadership and governance requirements
The study, sponsored by Kinaxis, found that only 2% of respondents report having no AI-enabled capabilities. However, only 12% consider themselves AI leaders. Respondents indicated that 67% believe accountability for AI-driven outcomes will require the most significant governance changes.
Additionally, 62% of respondents state that better data quality and integration would accelerate investment. Clear ROI and time to value are also critical, with 51% of respondents demanding concrete financial justification.
Executive perspective on the next phase
Eric Thompson, research director of Global Supply Chain Planning for IDC, emphasized that the industry must move beyond mere deployment. “The next phase of supply chain AI is not simply more adoption,” Thompson stated. “It is accountability—ensuring AI delivers trusted decisions, measurable value, governed autonomy, and operational outcomes.”
Despite the governance hurdles, optimism remains high. The study found that 79% of respondents view AI as an opportunity rather than a threat.
Source: thescxchange.com
Compiled from international media by the SCI.AI editorial team.
