Introduction and Overview

Billions of people worldwide are malnourished. Food systems transformation is essential to address this challenge, yet it is not happening fast enough. The cost of a healthy diet and food insecurity are instead heading in the wrong direction. Without significant intervention, billions of people will remain unable to access healthy diets and continue to be malnourished. GAIN is dedicated to improving this situation and experienced in designing and delivering high-quality programming, but
we often run into challenges that limit our impact. For example, identifying promising areas or populations to target for maximum impact; making decisions with incomplete or low-quality data; localising interventions or content to different populations and contexts; understanding complex food supply chains; or verifying the compliance of partners with fortification standards or other guidelines.

About this Strategy

This strategy is intended to demonstrate how the Global Alliance forImproved Nutrition (GAIN) can harness the potential of artificial intelligence (AI) to accelerate impact across our programmes. It offers a practical high-level view for leaders and staff across the organisation to understand where and how AI can add value to our mission of ensuring healthy diets for all, especially the most vulnerable. By clarifying opportunities and limitations, the strategy provides a common framework for experimentation, learning, and responsible adoption of AI.

This strategy sets out how we will integrate AI into our programmes to better achieve our mission: ensuring all people, especially the most vulnerable, have access to healthy diets. Our approach focuses on using AI to design more impactful programmes, deliver them more efficiently, and
scale them more rapidly. We will integrate general AI best practices across programmes while adopting specific tools and technologies where they add value.

Our objective is to cultivate an organisational culture where AI is not a technological add-on but a strategic enabler of greater nutrition impact. We also see an opportunity to play a leading role in shaping how AI is applied in food and nutrition programming, contributing thought leadership and demonstrating models that others can adopt and adapt.