The impact of AI on work depends on a complex interplay of automation, augmentation and the creation of new roles. Policymakers should understand these dynamics to ensure the equitable distribution of AI’s benefits and to support smooth workforce transitions.
The adoption of AI in developing countries can be accelerated by redesigning AI solutions around locally available infrastructure; utilizing and combining new sources of data; lowering skill barriers for AI with simple interfaces; and building strategic partnerships to access essential resources for AI.
Inclusive AI requires a strong emphasis on workers and their professional growth. This includes empowering them with digital literacy, supporting those transiting to new jobs with reskilling training and enhancing overall capabilities through upskilling programmes. Workers should also be involved in the design and implementation of AI tools for an integration into workspaces that addresses their needs and preserves meaningful human roles. Governments should promote human-complementary AI technologies through increased R&D funding, strategic public procurement and targeted tax incentives. Improving labour market opportunities and establishing clear career development pathways can mitigate the risk of brain drain.