Accenture’s AI Push Raises a Big Question: Why Is Indian IT Moving More Slowly?

Artificial intelligence is rapidly changing the global technology-services industry, but the pace of adoption is not the same everywhere. One of the clearest examples is the widening gap between Accenture’s aggressive push into artificial intelligence and the more cautious approach traditionally associated with India’s large IT services companies.

The issue is important because Indian IT has built its global reputation around providing technology services at scale. For decades, companies such as TCS, Infosys, Wipro and HCLTech have benefited from strong demand for software development, maintenance, consulting and outsourcing. AI, however, is changing what clients expect from technology providers.

The question is no longer simply whether Indian IT companies will adopt AI. It is whether they can move quickly enough to turn AI into a meaningful source of growth without damaging their established business models.

Accenture’s experience provides an interesting benchmark. The company began reporting revenue from advanced AI relatively soon after the arrival of generative AI tools. According to the Economic Times report, Accenture disclosed $100 million in advanced AI revenue in the third quarter of FY23. That figure doubled to $200 million in the following quarter and reached $1.1 billion per quarter by the first quarter of FY26.

Why Accenture’s AI Strategy Matters

Accenture occupies a different position from many traditional Indian IT companies. Its business combines technology services, consulting and transformation work, allowing it to participate in projects where businesses are redesigning operations around new technologies.

AI fits naturally into this model.

Companies adopting AI often need more than software developers. They require help identifying suitable use cases, preparing data, redesigning workflows, integrating AI systems and managing organisational change. This creates opportunities for service providers that can combine technology expertise with strategic consulting.

That is one reason Accenture’s rapid AI revenue expansion deserves attention.

The company’s reported numbers demonstrate that enterprise customers are willing to spend on AI-related services when the technology is connected to measurable business needs. For Indian IT companies, this creates both an opportunity and a challenge.

The Traditional Strength of Indian IT

Indian IT services companies have historically benefited from a highly scalable delivery model.

Large global clients outsource technology functions to Indian providers because these companies can offer extensive technical talent, established processes and competitive costs. This model has supported decades of growth.

But generative AI introduces a different economic equation.

If AI tools allow a smaller number of employees to complete work that previously required larger teams, the amount of traditional manpower-based work could decline. At the same time, demand for higher-value AI consulting, implementation and transformation services could increase.

This means the industry could experience a transition rather than simply an increase in technology spending.

From Manpower to Technology-Led Productivity

The older model often rewarded companies for increasing the number of employees working on client projects.

The emerging model may reward companies for helping clients achieve more with fewer human hours.

That creates a complicated situation for IT service providers. Greater productivity is positive for customers, but service companies must also find ways to monetise that productivity.

The companies that succeed may increasingly sell outcomes, intellectual property, AI platforms and specialised expertise rather than only billing for employee hours.

Why Indian IT Companies May Be More Cautious

There are several structural reasons why Indian IT companies may not immediately replicate Accenture’s AI strategy.

1. The Existing Business Is Extremely Large

Indian IT companies have built enormous businesses around traditional services. Moving aggressively into AI requires investment, restructuring and potentially a change in the way projects are priced.

A company cannot simply abandon its existing revenue base while waiting for a new technology business to mature.

The transition therefore needs to be managed carefully.

2. AI Requires Different Skills

AI projects require expertise in areas such as machine learning, data engineering, cloud infrastructure, cybersecurity and AI governance.

Although Indian IT companies employ huge numbers of technology professionals, having a large workforce is not automatically the same as having the right AI capabilities.

Reskilling employees takes time. Recruiting specialised talent can also be expensive.

3. Clients Are Still Learning

Enterprise AI adoption is not a simple technology upgrade.

Businesses have to determine where AI can create genuine value, how it should be integrated into existing systems and how sensitive information should be protected.

For many companies, experimentation may come before large-scale deployment.

That means IT service providers have to demonstrate practical business outcomes rather than merely presenting AI as the latest technology trend.

M&A Could Become an Important Part of the AI Race

One of the most significant themes surrounding the transformation of Indian IT is mergers and acquisitions.

The Economic Times report notes that Indian IT companies, after spending years relatively inactive on the M&A front, are becoming more active again. Acquisitions can provide access to specialised capabilities, clients, intellectual property and talent much faster than developing everything internally.

For AI specifically, acquisitions could help companies close capability gaps.

Instead of spending years building a specialist AI business organically, an IT company could acquire an established technology firm with expertise in a particular AI application.

However, acquisitions are not automatically beneficial.

The Return-on-Investment Challenge

Paying a premium for an attractive AI company can reduce the return generated on invested capital.

This creates a difficult decision for management teams.

If they spend too little, they could fall behind competitors. If they spend too much, shareholders could question whether the acquisitions are creating sufficient economic value.

Therefore, the next phase of M&A in Indian IT may be judged not by the number of acquisitions but by the quality of those deals.

What AI Could Mean for Indian IT Employees

The AI transition is also likely to change the nature of technology employment.

This does not necessarily mean that AI will eliminate technology jobs across the board. Instead, the mix of work may change.

Routine coding, testing, documentation and basic support activities could increasingly be assisted by AI systems. At the same time, demand could rise for professionals who can supervise AI tools, manage complex technology architecture, understand business requirements and ensure reliable implementation.

For employees, continuous learning is therefore becoming increasingly important.

The most valuable technology professionals may be those who combine domain knowledge with AI capabilities rather than relying exclusively on traditional technical skills.

What It Means for Investors

For investors tracking Indian IT stocks, the AI transition introduces a new set of questions.

Revenue growth alone may not provide the complete picture. Investors may increasingly need to examine:

• AI-related revenue growth
• New AI-focused client wins
• Investment in AI capabilities
• Employee reskilling initiatives
• Acquisition strategy
• Operating margins
• Productivity improvements
• Growth in higher-value consulting services

The central issue is whether AI becomes a growth accelerator or a source of pricing pressure.

If companies can use AI to deliver better outcomes while developing new revenue streams, profitability could eventually benefit. But if productivity gains mainly result in lower prices for clients, the financial benefit could be harder to capture.

Could Indian IT Eventually Close the Gap?

There is little reason to assume that Indian IT companies cannot become major beneficiaries of AI.

India already has a deep technology talent pool and decades of experience serving multinational corporations. Its large IT companies also maintain relationships with many of the world's biggest enterprises.

Those relationships could become valuable as customers move from AI experimentation to large-scale deployment.

The challenge is speed.

AI is developing far faster than many previous technology cycles. Companies that take too long to adapt could find that competitors have already established stronger capabilities, acquired specialist firms or captured important customer relationships.

At the same time, moving too quickly without a clear commercial strategy could destroy shareholder value.

The winning approach may therefore be a combination of organic investment, carefully selected acquisitions, workforce transformation and stronger focus on measurable customer outcomes.

The Bigger Picture: AI Is Changing the IT Services Business Model

The most important takeaway is that AI is not simply another technology that Indian IT companies need to add to their service portfolios.

It could change the economics of the entire industry.

Traditional outsourcing benefited from scale. AI introduces automation and productivity into that equation. The result could be fewer hours required for certain tasks, faster project delivery and a greater emphasis on specialised expertise.

This could eventually force IT companies to rethink pricing models, employee structures and the way they measure productivity.

For clients, that transformation could be positive because they may receive more technology capability for the same spending.

For service providers, however, capturing the economic value of those productivity improvements will be critical.

FAQs

Why is Accenture’s AI strategy important for Indian IT companies?

Accenture’s rapid growth in advanced AI revenue shows how quickly AI-related enterprise services can become commercially significant. It provides a useful benchmark for Indian IT companies considering how aggressively they should invest in the technology.

How much did Accenture’s advanced AI revenue grow?

According to the Economic Times report, Accenture disclosed $100 million of advanced AI revenue in Q3 FY23, followed by $200 million in the next quarter. By Q1 FY26, the figure had reached $1.1 billion per quarter.

Why could acquisitions help Indian IT companies?

Acquisitions can provide immediate access to specialised AI skills, technology capabilities, intellectual property and customer relationships. They can potentially accelerate transformation compared with building every capability internally.

Will AI reduce jobs in Indian IT?

AI is likely to automate some routine activities, but it can also create demand for new skills and services. The long-term impact will depend on how quickly workers and companies adapt to changing requirements.

What should investors watch in Indian IT companies?

Investors can monitor AI-related revenue, large technology deals, acquisitions, employee reskilling, productivity improvements, margins and the development of higher-value consulting and transformation services.

Conclusion

Accenture’s rapid expansion in advanced AI revenue highlights the scale of the opportunity emerging in enterprise technology. Its experience also raises an uncomfortable question for Indian IT: how quickly should companies shift from a traditional services model toward an AI-led business?

The answer will not be determined simply by how much companies spend on artificial intelligence. Execution will matter more.

Indian IT companies have significant advantages, including established global relationships, technology expertise and large talent pools. But they also face the challenge of transforming businesses that were built around a different economic model.

M&A could accelerate that transformation, although acquisitions come with their own financial risks. Reskilling can create the workforce required for the next technology cycle, but it takes time. And AI investment can create new revenue opportunities, provided companies can convert technical capability into measurable customer value.

Ultimately, the AI race is unlikely to be won by the company that simply spends the most. It will be won by companies that can adapt their business models quickly while maintaining financial discipline.

For Indian IT, that transformation may prove to be one of the industry's most important strategic tests of the coming years.