Can AI power PH climate resilience?

The Philippines is taking a distinct approach to AI for climate resilience, prioritizing public-sector and academic-led initiatives over private consumer applications. Programs like DOST-ASTI’s AI4RP are leveraging machine learning to generate hyper-localized hazard maps, moving beyond generic forecasts to enable precision-based resource deployment for local government units. This strategy directly addresses the country’s vulnerability to climate events, such as Super Typhoon Yolanda, which affected over 16 million people. Agricultural applications are also critical, with UPLB’s Project SARAI and IRRI utilizing AI to provide smallholder farmers with actionable intelligence on crop suitability and to identify climate-resilient rice varieties. The key challenge remains the “last-mile” problem: ensuring AI-driven data reaches remote communities with limited connectivity. This necessitates a “human-in-the-loop” strategy, integrating AI with local knowledge and community-level systems to make the technology an enabler for human decision-making, not a replacement. The country must also avoid the “solution fallacy” by prioritizing edge computing and resource efficiency to prevent AI’s energy footprint from exacerbating climate change.