Cognizant’s “New Work, New World 2026” report estimates that generative and foundation-model AI can today handle $4.5 trillion worth of U.S. labor tasks, impacting 93% of roles across industries. This figure is based on a reassessment of 18,000 tasks and 1,000 jobs in the O*NET database, and represents a 30% acceleration compared to the original 2032 forecast. With exposure scores rising at 9% annually versus the prior 2%, Cognizant cautions that realizing this productivity boost requires substantial investment in contextual integration, flexible operating models, and human skilling initiatives such as its Synapse program targeting two million individuals by 2030.

The new analysis shows the share of non-automatable tasks has fallen from 57% in 2023 to 32% today, reflecting rapid advances in AI capabilities. Notably, exposure scores for legal roles soared from 9% to 63%, for education from 11% to 49%, and for C-suite positions from 25% to 60%. Conversely, roles in computer and mathematics, once deemed most exposed, now exhibit slower growth, suggesting AI’s frontier in these knowledge areas is maturing. Manual sectors are also seeing faster adoption — transportation tasks moved from 6% to 25% exposure and construction from 4% to 12%.

Despite a decade-long decline in gross margin driven by Indian wage inflation and pricing pressure, Cognizant has sustained net margins near 11% by cutting SG&A as a percentage of revenue. Management emphasizes AI-driven productivity gains and strict cost controls to offset structural headwinds from peers such as Infosys and Wipro. While AI investments promise incremental efficiency, sustained margin expansion remains constrained by limited pricing power in a highly competitive IT services market and the need to balance offshore staffing models with on-shore delivery requirements.