As 1.2 billion young people are projected to enter the workforce in developing countries over the coming decades, the central economic question is straightforward: how do we create enough productive jobs at scale? Demographics can be a dividend – or a destabilizing force – depending on whether economies can generate opportunity fast enough. That imperative should shape how we think about technology. The defining challenge is not whether technology is advancing, but whether it will widen divides or expand access to work and productivity. While “big AI” models dominate global headlines, most developing economies will see transformative impact from applied, sector-specific tools – “small AI” that address real constraints in health, agriculture, education, logistics, and small business finance. This discussion will focus on how practical AI applications and digital public infrastructure can strengthen primary healthcare delivery, expand access to quality education and skills, improve agricultural productivity for smallholders, formalize and finance small businesses, and enhance government efficiency. The emphasis will be on scalable, affordable solutions that raise productivity and generate employment at scale – demonstrating that technology, when grounded in jobs and development priorities, becomes a force multiplier for inclusive growth rather than an end in itself.