A high level panel at the India AI Impact Summit 2026 brought ministers from Togo, Indonesia and Egypt together to consider how artificial intelligence can shift from building infrastructure to delivering measurable societal benefits. The discussion addressed adoption gaps, public interest applications, regulatory balance and metrics for AI over the next five years. Panellists said success should be judged by lives transformed rather than the size of models or scale of computing resources. The Indonesian vice minister rated global AI impact at six out of 10 and warned that adoption remains uneven across the Global South, arguing that access must be meaningful rather than merely infrastructural. He said Indonesia has expanded internet penetration to around 80 per cent of the population and that AI driven diagnostic tools are assisting doctors in remote areas to detect tuberculosis. He called for balanced regulation, more investment in research and development and stronger digital talent to ensure AI systems are transparent, accountable and trustworthy. The minister from Togo said AI should address priority sectors such as health, education, agriculture and public administration and noted that Africa accounts for less than one per cent of global AI talent. She described how algorithms applied to satellite imagery and telecom metadata were used to prioritise beneficiaries for financial aid during the pandemic and said Togo has created an in house data science team to support evidence based policymaking. She identified infrastructure gaps, limited institutional capacity and the need for local language models as barriers to scaling impact. The Egyptian minister said success must be measured by the per cent of citizens who benefit from high quality AI enabled services, particularly in healthcare, education and government delivery. He urged that AI be framed as a development tool, with shared compute resources and strong national institutions to prioritise public services. The panel concluded that inclusive design, trust, institutional capacity building, innovation friendly regulation and global collaboration are essential to ensure AI serves people equitably and that progress should be gauged by lives transformed.