SmartSupplyAI — The weekly briefing on AI in supply chain and logistics

AI’s Trojan Horse

· Source: mexicobusiness.news

In short

While AI adoption spreads rapidly across organizations, a lack of governance, security, and clear business application can turn it into a Trojan horse that exposes sensitive data, inflates costs, and fails to deliver measurable returns. For logistics and transportation firms in Mexico and the United States, the key question is not whether they use AI, but whether they use the right AI, on their own data, under their control. The article outlines cost risks such as 'token maxing,' the MIT NANDA finding that most AI implementations show no measurable ROI, data-leakage risks, and three steps companies should take: structure their data, define where it is processed, and apply AI to specific operational problems.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 40, 2026: Supply Chain AI Advances, but Data, Governance and Capacity Set the Pace

Tags: logistics, data governance, generative AI, transportation, cost control, supply chain

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