Generative AI in 2024 achieved breakthroughs in multi-modal systems, integrating text, image, audio, and video to enable real-time applications like localized agricultural advice and medical diagnostics in underserved regions. Open-source tools and energy-efficient models democratized access, empowering developers globally. Healthcare saw transformative strides, with AI accelerating drug discovery and expanding telemedicine, while regulators intensified focus on ethics and bias.

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For developing countries, genAI offers a dual path—leapfrogging development hurdles through accessible education and healthcare or widening disparities if adoption excludes marginalized communities. Success hinges on collaborative efforts: governments balancing innovation with safeguards, technologists embedding fairness, and communities guiding AI toward local needs. Prioritizing equity, sustainability, and cultural sensitivity will determine whether genAI becomes a catalyst for inclusive global progress or entrenches existing inequities.