Vibe Coding’s Got Cognizant Feeling India IPO Ready

Cognizant is Offering a Very Generous Salary of INR 2.5 LPA for FreshersCognizant is Offering a Very Generous Salary of INR 2.5 LPA for Freshers

Cognizant’s third-quarter results made one thing clear — the company’s bet on AI isn’t just marketing talk. It’s rewriting the way code itself is written.

The IT services firm reported a revenue of $5.42 billion for the September quarter, up 7.4% year-over-year and 3.2% sequentially, its strongest sequential growth since 2022. The operating margin rose to 16%, and the company raised its full-year constant-currency guidance to a range of 6.0% to 6.3%. 

However, what grabbed attention on the earnings call wasn’t the numbers; it was the code. CEO Ravi Kumar S revealed that around 30% of all code written at Cognizant this quarter was AI-generated.

“In the third quarter, approximately 30% of our internal code was AI-generated, significantly improving the productivity of our developers. We believe it could reach 50% in the years ahead,” Kumar said.

The company is backing this with what it calls a “three-vector AI builder strategy”—AI-led productivity, industrialising AI and “agentifying the enterprise”. Kumar explained these three pillars are creating a “flywheel of new value creation.”

The Vibe Coding

At the centre of this is vibe coding, a concept that Cognizant is turning into a serious business model. Unlike most IT companies that merely add AI agents to their offerings, Cognizant is building an entire ecosystem around AI-assisted software development—from tools and training to culture.

“We are transitioning from a system integrator to an AI builder company,” Kumar told CNBC. “We are the only company in our peer group that talks about how much code is written by machines.”

He believes AI-assisted coding isn’t about replacing engineers but expanding who can code. “If AI technology is used to displace human capital, that’s a mistake. AI is an amplifier to human potential. It’s an equaliser. The bottom 50 percentile of developers actually get 37% productivity, while the top 50 percentile get 17%,” he said.

That philosophy is shaping how Cognizant trains its workforce. The company has already trained more than 35,000 developers on GitHub Copilot through its Synapse skilling programme and plans to add another 40,000. It also hosted a Vibe Coding Week with Lovable, which saw 53,000 participants from 40 countries, who created more than 30,000 working prototypes in 10 days. This earned a Guinness World Record for the largest online generative AI-assisted coding event.

Following that, Cognizant launched the Enterprise Vibe Coding Blueprint, a service suite that helps Global 2000 firms roll out AI-assisted coding securely and at scale.

“Vibe coding is emerging as a key catalyst, empowering everyone—from seasoned developers to those who have never written a line of code—to build and innovate with AI at their fingertips,” the company said.

It’s a bold idea. Kumar wants to democratise software creation. “We have too many engineers trying to write code for the world,” he said in a podcast conversation earlier this year. “I want an anthropologist, sociologist or even a psychologist to code.”

This push reflects a shift in how Cognizant sees its own business. The traditional IT services model, which is based on significant manpower and process-heavy projects, is being replaced by what Kumar calls “agentic AI”. He describes two “swim lanes”. In one, AI assists software development, while in the another, where “agentic AI” reimagines enterprise operations themselves.

“The second swim lane is about agentic AI—applying AI on operations, reinventing business processes and workflows,” he said. “You’re going to create an interplay between human capital and digital labour.”

Internally, Cognizant says it has embedded AI in more than 150 use cases across finance, operations, sales and pricing. These are not pilots or demos but production-level tools that are cutting cycle times and improving accuracy.

One of its key products, Flowsource, integrates generative and agentic AI across the full software development lifecycle. It’s already in use by over 70 clients, with another 120 in the pipeline. Among them, Pearson, is using it to modernise learning platforms using AI-driven development.

Cognizant has also partnered with Anthropic to deploy Claude models and agentic tooling in both its internal systems and client projects. “Our agreement with Anthropic will help clients scale AI while advancing our own operations,” Kumar said.

A Lot of India Plans

Under CFO Jatin Dalal, who joined earlier this year, the company’s balance sheet has improved along with deal momentum. Cognizant signed six large deals this quarter, each valued above $100 million, and reported a 40% increase in total large deal value compared to last year.

Dalal also confirmed that the company is exploring a potential listing in India. With over two-thirds of its 3.49 lakh employees based in India, an Indian IPO would make Cognizant the country’s second-largest listed IT firm after TCS. “We are assessing a potential primary offering and a secondary listing in India with our legal and financial advisors. We view this as a long-term project,” Dalal said.

The AI transformation, however, is what defines this phase of Cognizant’s story. Instead of simply adopting AI tools, it’s rebuilding its identity around them.

For decades, Cognizant was known as a mid-tier outsourcer that scaled through process excellence and client relationships. That tag is now fading. In Kumar’s words, “All the infrastructure spend which has happened on AI infrastructure, the value is going to drift to the front of that value chain. More businesses are going to adopt AI.”

He believes AI coding will not just make developers faster but fundamentally change who can build. “Anyone should be able to build software using natural language,” he said. “Machines, not humans, should write most of the code.”

For now, Cognizant’s results suggest that the approach is working. The company’s growth has picked up pace, margins are rising and deal momentum is strong. More importantly, it’s beginning to carve a unique identity in an AI-saturated IT market—one that’s less about services and more about creation.

“We’re excited about the transformation we have taken up in the company over the last two years,” Kumar further said in a conversation with CNBC. “We’re in the winner’s circle now on relative growth compared to our peers.”

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