TCS reported strong revenue growth driven by AI-related services, which now account for 7-8% of total revenue and are expected to reach 20% within the next four to six quarters, supported by a comprehensive AI strategy and increasing customer adoption. The company anticipates AI will both reshape jobs by automating tasks and creating new roles, while maintaining margins through productivity gains and strategic partnerships in the evolving AI ecosystem.
In the recent quarterly update, TCS highlighted strong customer spending despite challenging macroeconomic conditions, driven primarily by growth in the banking, financial services, and tech services sectors. Regional markets beyond the UK also contributed positively, while some headwinds were noted in consumer business and manufacturing. Overall, most industries performed as expected, supporting steady revenue growth.
A significant focus was placed on the increasing contribution of AI-related revenue, which has grown from an annualized $2.3 billion to $2.6 billion, representing about 7-8% of TCS’s total revenue. This revenue is largely short-term and contract-based, requiring continuous renewal and new wins. The company sees strong customer interest in AI adoption, with a clear emphasis on generating tangible business value rather than just cost. TCS expects AI revenue to accelerate rapidly, potentially reaching 20% of total revenue within four to six quarters, driven by quarter-on-quarter growth rates of 15-25%.
Regarding the impact of AI on margins and pricing, TCS acknowledged a 10-15% productivity-led top-line deflation but has managed to maintain margins through productivity gains and proactive customer engagement. The company leverages AI to enhance workforce productivity while balancing investments in AI capabilities. They have sufficient backlog and margin levers to offset pricing pressures and expect full productivity benefits to materialize over a few quarters.
TCS’s AI strategy is distinguished by its comprehensive, layered approach spanning data infrastructure, models, agents, applications, and physical intelligence. They have invested in proprietary infrastructure like Hyperwall and Secure Solar in Cloud, formed partnerships with leading frontier model providers, and developed capabilities to build and fine-tune foundational small language models. Their platform supports creating AI agents tailored to various industries, and they uniquely integrate AI into physical robotics, offering end-to-end solutions that resonate strongly with customers.
On the future of AI and jobs, TCS anticipates a balance between job displacement and creation. While AI will simplify tasks like testing and coding, it will also generate new roles focused on model lifecycle management, fine-tuning, and training. The company currently deploys thousands of AI agents internally and for clients, with numbers expected to grow. Additionally, TCS is advancing partnerships with hyperscalers, planning major announcements soon, and pursuing a multi-partner approach to small language models rather than exclusive investments. They view the expanding AI ecosystem not as competition but as an opportunity to integrate diverse technologies and deliver comprehensive value to customers.