Sarma (2025) on building a national AI workforce in India:
The government, private sector, and academic institutions, which often work together, have emerged as the troika driving AI workforce development in India. They work across five different segments of stakeholders… each of whom needs different types and levels of skills. Foundational skills include AI/GenAI tools and their impacts and limitations, while advanced skills range from AI integration and domain-specific applications to deep learning and neural network expertise.
While building an AI workforce requires equipping workers with a wide range of skills, there is an urgent need to focus on developing capabilities for applying AI in strategy, marketing, and innovation.