Over time, the ability to deliver at AI-enhanced speed may redefine competitive differentiation and pricing power across the application-development landscape.
Every significant IT services business line will be impacted over the next few years as clients' AI projects evolve from proof of concept to scale, though the severity of the disruption will vary. We believe business-process outsourcing (BPO) faces the steepest risk as automation handles repetitive tasks, whereas consulting and infrastructure outsourcing services may be more resilient. Still, even in areas at high risk, such as customer service BPO, providers that deploy AI efficiently could see interaction volumes rise, offsetting pressure on per-incident pricing and enabling selective growth, despite margin headwinds.
Gen AI has the ability to accelerate software design, coding and testing, which will lead to shortened project timelines and changes to the economics of delivery. Automation could disrupt traditional time-and-materials pricing, yet firms that reinvest productivity gains into new projects stand to benefit. Large Indian firms like Tata Consultancy, Infosys and HCL Tech are particularly well-positioned to combine deep offshore engineering bases with AI-enabled development frameworks, allowing them to execute faster and take on broader transformation projects that could reinforce client relationships.
