Key facts
- Indian IT firms targeting data labelling, model fine-tuning, AI QA for US companies
- Strategy extends India's outsourcing model into the AI era
- Debate ongoing: commodity AI work vs higher-value innovation ambitions
- Could create large-scale new AI-era jobs for Indian IT workforce
Scroll.in reports that the Indian IT industry is actively seeking to capture the less glamorous, back-end AI work being offloaded by American companies — including data annotation, model training support, AI output evaluation, and related services. Rather than competing on cutting-edge AI research, the industry is doubling down on the outsourcing playbook that made it a global giant in software services.
This approach plays to India's well-known advantages: a massive English-speaking technical workforce, cost competitiveness, and decades of experience managing large-scale service delivery for Western clients. Several major Indian IT firms are already reported to be in discussions or contracts with US technology companies for such engagements.
The debate, however, is sharp. Critics argue that anchoring India's AI ambitions in low-margin, commodity AI work risks repeating the pattern of the BPO era — volume without value. Proponents counter that it is a pragmatic way to build AI familiarity at scale across the workforce while generating immediate revenue.
For everyday Indian IT workers, the pivot signals that AI will reshape — rather than eliminate — job profiles in the near term, with new roles emerging around AI operations. Whether India uses this foothold to climb toward higher-value AI work remains the central question for the industry's long-term competitiveness.