The 2025 Report on Artificial Intelligence in Food Systems, compiled by the New Zealand Ministry for Primary Industries (MPI), marks the first in a series of in-depth analyses aimed at raising awareness of critical global issues impacting the food and agribusiness sectors.
This report provides a comprehensive overview of AI applications within New Zealand’s food system and across international markets. It highlights real-world examples, current adoption levels, business perspectives, and emerging opportunities and challenges driven by AI.
AI Adoption Challenges in New Zealand’s Agriculture Sector
Table of Contents
According to the MPI report titled “Artificial Intelligence: A Snapshot of AI in New Zealand and Global Food Systems”, New Zealand continues to face significant challenges in adopting AI technologies across its food and agricultural industries — despite recognizing their strategic importance.
While AI is seen as a key driver for maintaining competitiveness in an export-dependent economy like New Zealand, the adoption remains uneven and limited, particularly within food production and processing sectors.
Infrastructure, Data, and Mindset Barriers
The report identifies multiple challenges, including:
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Outdated infrastructure and machinery not yet compatible with AI systems.
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Lack of data availability and interoperability across the food value chain.
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Rising cybersecurity concerns related to digital integration.
Moreover, conservative attitudes and limited understanding of emerging technologies are major cultural obstacles. Experts note that New Zealand tends to be “more cautious and hesitant” toward AI adoption compared to other advanced economies.
The Key Role of AI in Global and New Zealand Food Systems
AI is revolutionizing the global food industry — driving innovations from precision farming and supply chain optimization to product development and consumer experience enhancement.
For New Zealand — where food and fiber exports account for nearly 80% of total merchandise exports — strengthening AI capabilities is essential for sustaining international competitiveness and achieving long-term sustainability goals.
Future Pathways and Strategic Recommendations
The MPI report outlines several strategies to accelerate AI adoption:
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Upskilling the workforce with AI and data science capabilities.
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Building a robust legal and ethical framework for responsible AI use.
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Enhancing collaboration between research institutions, tech developers, and food industry enterprises.
The report serves as a key reference for policymakers and businesses, offering case studies on AI integration across the global food value chain, and highlighting pathways for innovation, resilience, and sustainability in New Zealand’s agri-food sector.