First, What Is Agentic AI?
Before diving into the report, it’s crucial to understand what 'agentic AI' is. Unlike generative AI models like ChatGPT that respond to prompts, agentic AI systems are designed to be autonomous. Think of them not as tools you command, but as digital
employees you assign goals to. These 'agents' can then plan multi-step actions, use different software tools, and make decisions to accomplish complex tasks with minimal human supervision. For example, instead of just writing marketing copy, an agentic system could be tasked with running an entire campaign: generating the copy, deploying it across platforms, analyzing performance data, and adjusting the strategy in real-time.
The Counterintuitive BCG Finding: Market Expansion
The central claim of the BCG report is that while agentic AI will indeed make some traditional services more efficient and reduce demand, this effect will be overshadowed by the creation of new opportunities. The firm's analysis projects that agentic AI will unlock up to $200 billion in net new value for the tech services market within the next five years. This finding is based on surveys of both enterprise executives who buy tech services and the providers who sell them. The report predicts this growth will contribute to a 6% to 8% compound annual growth rate for the tech services industry through 2030.
Where Does the New Growth Come From?
The report identifies several new streams of demand that will more than compensate for the shrinkage in traditional work. The primary driver is the need to 'build, deploy, and run' these new agentic solutions. This involves a host of new services: designing and prioritizing use cases, engineering the complex workflows for AI agents, integrating them with core enterprise systems like ERP and CRM platforms, and modernizing the underlying data infrastructure. Furthermore, as agentic AI makes it possible to automate more complex processes, it expands the scope of what companies can outsource, creating another avenue for growth. Human oversight and governance will also become a critical, billable service that clients will not want to hand over entirely to a model.
A Shift From Headcount to High-Value Skills
This market expansion doesn't mean business as usual. The decades-old model of the Indian IT services industry, built on labour arbitrage and billable hours, is facing a fundamental shift. According to BCG, nearly 90% of executives expect AI to generate new kinds of work rather than simply replace existing jobs. However, there is a significant skills gap. The report notes that at traditional tech services firms, only 10-15% of the AI-tagged workforce focuses on 'Applied AI'—the actual building and deployment of solutions—compared to 90-95% at AI-native companies. The opportunity for Indian firms lies in reskilling their vast workforces. The report argues that these companies don't have a talent shortage, but rather a talent deployment challenge.
The Opportunity for India's Tech Giants
The transition to an agentic AI world is both a threat and a massive opportunity for India's technology services sector. The report emphasizes that clients are moving from paying for hours to paying for outcomes. This requires a pivot in business models. Indian firms have the advantage of a massive existing talent pool that can be upskilled. BCG identified 40 distinct 'Applied AI' roles that existing employees, from data scientists to DevOps engineers, can be trained for. The companies that succeed will be those that move quickly to redesign their service portfolios, create new career paths and incentive structures, and build proprietary platforms that deliver measurable business outcomes for their clients. The clock is ticking, as clients are already scaling their agentic deployments and expect their service providers to lead the way.
