TCS chairman explains how AI agents will reshape revenue and hiring

Tata Consultancy Services (TCS), one of the world’s largest IT services companies, is betting that artificial intelligence will transform every part of its business over the next five years. From revenue mix and profit expectations to hiring plans and infrastructure, the company is preparing for a future where AI agents work alongside every employee.

Why growth looks slower during big tech shifts

Whenever a major technology shift happens, customers pause, rethink, and delay big decisions. That’s exactly what TCS says is happening now with AI.

During these transition periods, revenue growth can slow and stock prices can fall. It’s not always because profits are down; often, it’s because the market is unsure about future growth and cuts the price-to-earnings (P/E) multiple. TCS points out that historically, its revenues, profits, cash flows, and earnings per share have grown consistently, even through past disruptions like the internet, cloud, and digital transformation waves.

The current AI wave is another such disruption. The company believes the worst of this adjustment phase is behind it and that AI-driven growth will accelerate from here.

AI revenue is already growing fast

TCS has started breaking out its AI-related revenues on an annualized, quarter-on-quarter basis. The numbers show rapid growth:

• Q2: $1.5 billion annualized AI revenue
• Q3: $1.8 billion annualized
• Q4: $2.3 billion annualized

This works out to a compounded quarterly growth rate of about 22%. On an annual basis, TCS expects AI-driven revenues to grow around 100% year-on-year in the near term.

The bigger claim is even more striking: by around 2028–2030, TCS expects that 100% of its revenue will have an AI component. That doesn’t mean every project will be pure AI, but that AI will be embedded in almost every solution, service, and workflow the company delivers.

Why TCS thinks AI will touch all its revenue

In TCS’s view, AI will not remain a niche add-on. Instead, it will become a layer across everything the company does:

• Existing IT systems will be enhanced with AI for automation, insights, and decision support.
• New solutions will be designed with AI at the core, not as an afterthought.
• Legacy systems will stay, but AI will sit on top of them as an "intelligent layer" to improve performance and usability.

The company sees AI as a massive opportunity, not just for IT services, but for the broader technology ecosystem. The current total addressable market (TAM) of about $1.6 trillion for tech services could grow to $3 trillion and, over time, AI could influence value creation across entire national GDPs.

If you’re wondering whether this optimism is part of a wider trend, it fits into a broader debate about whether we’re in an AI investment bubble. For a deeper look at that discussion, see this analysis of the current AI bubble.

Building an "AI operating system" with agents

To make AI truly useful at scale, TCS is investing in what it calls an "AI operating system" for enterprises. This isn’t a literal OS like Windows or Linux, but a conceptual layer made up of many specialized AI agents.

AI agents for every industry and function

TCS plans to build a large collection of AI agents tailored to specific industries and business processes. These agents will:

• Handle repetitive or rules-based tasks.
• Assist with analysis, reporting, and decision-making.
• Integrate with existing IT and legacy systems.
• Provide a smoother human–AI interface for employees and customers.

Over time, these agents will work together as a coordinated system – the "AI operating system" – that sits across a client’s technology stack.

If you’re interested in how to start using similar concepts in your own work or business, you might find it useful to explore practical ways to get started with AI agents.

From asset-light to AI data centers and sovereign cloud

TCS has traditionally followed an asset-light model, avoiding heavy capital expenditure on infrastructure. AI is forcing a partial rethink of that strategy.

To deliver "full stack" AI solutions end-to-end, the company is investing in:

• AI data centers: These are capital-intensive but necessary to run large AI models and support enterprise-scale workloads.
• Sovereign cloud: Infrastructure that keeps data within a country’s borders and complies with local regulations, which is critical for governments and regulated industries.

TCS emphasizes that it is not abandoning its asset-light philosophy, but is willing to make exceptions where infrastructure is essential to help customers adopt AI securely and at scale.

Half a million AI agents working alongside half a million people

One of the boldest statements from TCS leadership is about the future workforce. The company expects to eventually have as many AI agents as human employees.

With around 500,000 employees today, TCS envisions a future where it also runs roughly 500,000 AI agents. These agents will:

• Take over parts of existing work that are repetitive, standardized, or easily automated.
• Support employees in complex tasks, rather than fully replace them.
• Operate as digital coworkers embedded in day-to-day workflows.

The future TCS imagines is one where human employees and AI agents collaborate closely, each doing what they do best.

Yes, hiring will slow – but new roles will emerge

TCS is clear that AI will change its hiring pattern. The company does not expect to keep hiring at the same volume as in the past, especially for roles that can be partially or fully automated by AI agents.

In practical terms, this means:

• Overall industry hiring may flatten or grow more slowly in the short term.
• Some existing types of work will shrink as AI agents take over routine tasks.
• New types of roles will be created around AI development, integration, governance, and operations.

However, TCS does not see this as the end of opportunity. Once the transition stabilizes, the "AI world" is expected to generate entirely new categories of work and demand for new skills.

The skills people will need in an AI-first IT industry

To stay employable and relevant in this new environment, TCS stresses the need for large-scale upskilling in AI. Key areas include:

• Understanding how AI systems work and where they can be applied.
• Learning to work effectively with AI agents as collaborators.
• Developing skills in data, prompt design, model integration, and AI governance.

For countries like India, where IT services are a major employer, this transition will be significant. The challenge is to build AI skills fast enough so that people can move into new roles as older tasks get automated.

AI is here to stay – and it will reshape everything

TCS’s message is unambiguous: AI is not a passing trend. It will have a huge impact on every industry, every IT service, and every major technology provider.

In the next five years, TCS expects:

• AI to be embedded in 100% of its revenue streams.
• Hundreds of thousands of AI agents working alongside its human workforce.
• Slower traditional hiring, but new AI-driven opportunities emerging.
• Significant investment in AI infrastructure, including data centers and sovereign cloud.

For businesses, employees, and policymakers, the takeaway is clear: AI will not just change tools; it will change business models, job roles, and how value is created across the global economy. Preparing for that shift now – through skills, strategy, and experimentation – will be critical.