A recent analysis conducted in collaboration with IDC revealed the challenges and opportunities in the adoption of advanced artificial intelligence (AI) technologies and trade policy-driven changes in supply chains.

The study highlighted that while 89% of organizations have revamped their data strategies to implement generative AI, only 26% have deployed these solutions at scale. This underscores the need to improve data governance and strengthen analytics infrastructure.

On the other hand, in a survey of 500 supply chain and procurement professionals in the United States, Mexico emerged as the top tariff-related challenge, noted by 49% of respondents, surpassing China (45%). These changes are motivating companies to redesign their business strategies in real time.

Among the main findings of the report:

Domestic sourcing and stockpiling: 50% of companies increased their procurement of domestic products, especially in the automotive (62%) and manufacturing (55%) sectors. In addition, 54% chose to accumulate inventories of international goods, with the aerospace industry standing out (64%).

Proactive preparation: Before the 2024 elections in the United States, 64% of companies began to adjust their strategies to mitigate risks.

Adoption of AI in business decisions: Less than 40% of companies use AI for decision making, with retail (23%) and healthcare (21%) being the sectors with the lowest adoption.

The report highlights that the transformation to dynamic supply chains, based on real-time data and predictive analytics, will be crucial to remain competitive in an increasingly uncertain global environment. In addition, 76% of supply chain leaders agreed that tariff uncertainty has strengthened their job security, highlighting the strategic importance of this sector.