How does AI adoption differ between manufacturing and service sectors in

In emerging markets, AI adoption between the manufacturing and service sectors shows distinct differences in application focus, structural barriers, and workforce impacts. Service industries such as accommodation, retail, and travel agencies primarily deploy AI for marketing and sales^[1]. In contrast, manufacturing firms focus AI adoption on improving production processes alongside sales^[2].

Developing economies face significant capital and infrastructure barriers, including limited electricity and affordable internet access, which constrain overall AI deployment^[3][4]. While emerging markets rely heavily on manual labor and traditional industries that may experience fewer immediate disruptions^[5], these structural differences mean they risk missing early productivity gains without adequate infrastructure and skilled workers^[6]. Policy responses in these contexts must address these foundational gaps by expanding energy networks, prioritizing workforce augmentation over direct automation, and leveraging AI to alleviate human capital shortages in sectors like healthcare and education^[7][8].