Cognizant may cut 12,000 jobs
- Cognizant is reportedly weighing a global layoff of 12,000 to 15,000 jobs under Project Leap, days after unveiling an AI-led restructuring program. - The company has officially disclosed $230 million to $320 million in restructuring costs, including $200 million to $270 million for severance and personnel expenses. - The bigger story is delivery-model change — clients want fewer pyramid-heavy teams, and AI is giving outsourcers a reason to shrink them.
Cognizant’s story is really about the IT services business changing shape in public. The immediate headline is ugly — reports say the company may cut 12,000 to 15,000 jobs globally, with India taking most of the hit. But the deeper thing happening is that Cognizant is trying to rebuild how it staffs work in an AI era, and it has now put real money behind that shift. Cognizant announced Project Leap on April 29 alongside first-quarter results, and the market is now connecting that restructuring budget to a much larger workforce reduction than the company has formally spelled out. ### What actually changed? What changed is not that Cognizant confirmed a 15,000-person layoff. It didn’t. What it did confirm was a restructuring program called Project Leap, with total 2026 charges of $230 million to $320 million, including $200 million to $270 million tied to severance and other personnel-related charges, the company said on earnings day. ### Why are people inferring 12,000 to 15,000 jobs? Because severance math gives you a rough range. Cognizant has more than 357,000 employees worldwide, and over 250,000 are in India. If a large share of the severance pool is spent in India — where pay is lower than in the U.S. or Europe — the same budget can cover a lot more exits. That is why outside estimates cluster around Project Leap. ### Why India? Because that is where the workforce is. Cognizant’s 2025 annual-report geography shows about 256,900 employees in India out of a little more than 350,000 globally. So even before you get into cost differences, any broad restructuring would naturally land hardest there. Add lower average compensation, and India becomes the place where a severance budget stretches furthest. ### What is Project Leap really for? Basically, Cognizant wants a flatter, cheaper, more AI-native workforce. Ravi Kumar said the company is trying to “resize” its talent pyramid — hiring more school graduates and early-career workers while reducing the “height” of the pyramid. In plain English, that means fewer layers of expensive mid- and senior-level staffing, faster skill formation, and more work done with automation woven into delivery. ### Why is the old pyramid under pressure? Because clients do not want to pay for it anymore. One executive quoted in the reporting put it bluntly — customers are not okay with full pyramids and do not want to fund training-heavy bench models. That matters because the classic offshore IT model depended on exactly that structure: lots of junior staff, several supervision layers, and billable learning built into delivery. AI tools make parts of that model look bloated. ### Is Cognizant in trouble? Not in the simple “business is collapsing” sense. First-quarter 2026 revenue rose 5.8% year over year to $5.4 billion, bookings grew 21% in the quarter, and Cognizant even raised its adjusted operating-margin outlook to 16.0% to 16.2%. So this looks less like emergency cost-cutting and more like a deliberate margin-and-model reset while business is still holding up. ### What should people watch next? Two things — formal confirmation of scope, and timing. Kumar said Project Leap should take a couple of months to complete, with effects running another three to four months after that. So the next earnings cycle should tell us whether this stays a vague restructuring story or turns into a clearly quantified layoff program. That number is still an estimate, not a company-confirmed tally. But the direction is real. Cognizant has already said it is spending heavily on severance to build an AI-led operating model, and that usually means the old staffing math is gone for good.