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TCS Restructures AI and Cloud Businesses to Accelerate Growth in 2025

Author by Author
May 28, 2025
in Tech Blog
Reading Time: 3 mins read
TCS Restructures AI and Cloud Businesses to Accelerate Growth in 2025

Tata Consultancy Services (TCS), one of India’s largest IT services companies, has announced a major organizational restructuring of its AI and Cloud business units. The move involves splitting the previously unified AI.Cloud unit into two dedicated divisions Artificial Intelligence & Data, and Cloud Services. This strategic shift aims to drive exponential growth by aligning each business segment with its specific market dynamics and innovation potential.

New Structure |  Independent AI and Cloud Units

Under the new organizational model, TCS has formed two distinct units:

  • AI and Data Unit: This business will focus on artificial intelligence solutions and data services, which are increasingly intertwined in enterprise transformation projects. This unit will be led by Siva Ganesan.

  • Cloud Services Unit: This division will cater exclusively to cloud infrastructure, migration, and optimization services. It will be headed by Krishna Mohan.

This separation is designed to offer each unit the autonomy to pursue specialized strategies, hire domain-specific talent, and develop offerings aligned with market needs.

Strategic Rationale Behind the Reorganization

TCS’s decision to restructure is driven by several strategic factors:

Untapped Market Opportunity
Internal performance reviews showed that the combined AI.Cloud unit was growing faster than other business segments. This indicated strong, yet underexploited, demand in both domains.

AI as a Growth Engine
With artificial intelligence becoming a core driver of digital transformation, TCS is positioning itself to lead in the deployment of enterprise-scale AI, including generative AI and machine learning.

Focus and Specialization
By separating the two units, TCS can foster deeper expertise, faster innovation, and clearer go-to-market strategies for each domain.

Data-AI Integration
Data services have been strategically placed under the AI division, recognizing the essential role of high-quality, structured data in developing scalable AI solutions.

Cloud as an Independent Pillar
Cloud continues to be foundational in enterprise modernization. An independent cloud division enables TCS to offer platform-agnostic solutions to clients with varied cloud maturity levels.

Future Plans and Expected Outcomes

TCS has laid out a roadmap to scale these units and enhance its competitive positioning in both global and domestic markets.

Exponential Growth Targets
The company aims to drive accelerated revenue from its AI unit by targeting businesses looking to implement intelligent automation, analytics, and generative AI solutions.

Talent and Capability Development
TCS plans to significantly increase its AI talent pool through new hires and internal reskilling programs. Employee training curricula are being revised to include deep learning, data engineering, and generative AI modules.

Integrated Offerings for Emerging Enterprises
Many businesses still face data quality and infrastructure challenges. The AI and Data unit will focus on providing end-to-end services to make such organizations AI-ready.

Industry-Specific AI Solutions

TCS will structure its AI offerings to align with domain needs across sectors like banking, retail, telecom, manufacturing, and healthcare. This industry-specific focus aims to enhance value delivery and solution relevance.

Innovation in Cloud Services
The Cloud unit will deepen its partnerships with hyperscalers, expand its migration services, and develop proprietary tools for cloud optimization, security, and cost governance.

Broader Implications

TCS’s decision reflects the evolving landscape of global IT services, where artificial intelligence and cloud computing are no longer optional but foundational. With clients increasingly demanding outcome-based, intelligent solutions, this restructuring enables TCS to respond with greater agility and precision.

This move also sets a precedent for other global IT firms to consider specialized structures to match the complexity of modern enterprise requirements.

Conclusion

By creating independent AI and Cloud business units, TCS has demonstrated a forward-looking strategy aimed at driving focused innovation, faster time-to-market, and deeper client engagement. This reorganization is expected to position the company more strongly in the global race for AI and cloud leadership, while also catering effectively to emerging enterprise needs in India and abroad.

As enterprises prepare for an AI-first world, TCS’s strategic pivot marks a defining moment for Indian IT’s next phase of evolution.

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