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The largest IT layoff news of 2026 has just landed — and it hits closer to home than most Indians realise. Cognizant, the Nasdaq-listed IT services giant with the bulk of its workforce sitting in India, has announced ‘Project Leap’, a sweeping restructuring programme that could cost between 7,000 and 15,000 employees their jobs. Most of these cuts will happen in India, where Cognizant employs over 2.56 lakh people — the largest concentration of its global workforce.

This isn’t just another corporate reshuffle. It signals something bigger: the death of the old Indian IT pyramid, and the arrival of an AI-first operating model that fundamentally changes who gets hired, who gets fired, and what skills will matter for the next decade.

What Exactly Is ‘Project Leap’?

Announced on April 29, 2026, alongside Cognizant’s Q1 results, Project Leap is officially described as a programme to “accelerate transformation to the operating model of the future.” Stripped of corporate language, it means three things:

• Heavy investment in AI capabilities across service offerings
• Severance and personnel costs of $200–320 million in 2026 alone
• Expected savings of $200–300 million in the same year, lifting margins by 20–40 basis points

The company has not officially confirmed the number of layoffs. However, multiple reports — including Business Standard and The Mint — peg the figure between 4,000 and 15,000 employees, with the final number depending on the severance policy chosen (three-month or six-month packages) and the geographies affected.

Why India Will Take the Biggest Hit

Out of Cognizant’s total 357,600 employees as of March 2026, here’s the geographical breakdown:

• India: 2,56,900 employees (about 72% of global workforce)
• North America: 41,600
• Continental Europe: 14,600
• UK: 7,800

Simple math tells you the story. When a company says layoffs will happen “across geographies and all parts of the company,” and 72% of your workforce is in one country, that country is going to absorb most of the impact. The cuts are reportedly concentrated in mid-level roles — exactly the segment of the Indian IT industry that built the aspirational middle class over the past two decades.

The Real Reason: AI Is Breaking the Indian IT Business Model

For nearly thirty years, Indian IT thrived on a simple formula: hire fresh engineering graduates cheaply, train them, and bill clients by the hour. The “talent pyramid” — wide at the bottom with juniors, narrow at the top with senior architects — was the economic foundation of companies like TCS, Infosys, Wipro, and Cognizant.

That pyramid is now collapsing. Industry analysts are explicit about why: when 40% of code is being written with AI assistance and clients are paying for outcomes rather than billable hours, you no longer need ten junior developers to do what three AI-augmented engineers can deliver. The labour arbitrage model — India’s biggest competitive advantage — is being neutralised by automation.

Cognizant’s CFO Jatin Dalal told analysts that Project Leap is about driving cost savings through a “cost of delivery” model, which is corporate speak for “we need fewer humans per unit of work.” The company simultaneously announced it will hire more than 20,000 freshers in 2026, which initially sounds contradictory — but it isn’t. Freshers are cheaper, can be trained directly on AI tools without unlearning old habits, and don’t carry the salary expectations of mid-level engineers with eight to twelve years of experience.

This Is Not an Isolated Incident

The Cognizant news comes against a deeply troubling industry backdrop. Tata Consultancy Services, India’s largest IT employer, laid off approximately 12,000 mid-level and senior managers in July 2025 — citing essentially the same reason: workforce mismatch with new technology demands. Globally, more than 40,000 tech sector employees have lost their jobs to AI-driven restructuring in April 2026 alone.

Even more concerning is what this means for India’s broader economic story. For the past two decades, between 10 and 15 million Indians working in IT services and BPO have anchored what economists call the “aspirational middle class.” These were the people buying homes in suburbs, taking flights, sending children to private schools, and driving consumer demand across cities like Pune, Hyderabad, Chennai, and Bengaluru.

Hiring data tells the story plainly. For the last five years, gross hiring across Indian IT firms averaged around 2,30,000 annually. In the financial year ending March 2026, that number dropped to roughly 1,70,000 — a structural reduction of 26%. Net hiring by India’s top five IT companies fell by approximately 7,000 in the same period.

What This Means for IT Professionals in India

If you work in IT services in India — whether at Cognizant, TCS, Infosys, Wipro, HCLTech, or any mid-tier firm — the message from this round of layoffs is uncomfortable but clear:

1. Mid-Level Positions Are the Most Vulnerable

Engineers with 6–12 years of experience in routine roles like manual testing, basic application support, traditional database administration, and standard development work are at the highest risk. These are precisely the roles that AI tools can either fully automate or augment to the point where one engineer does the work of three.

2. AI Skills Are No Longer Optional

Hands-on experience with large language models, prompt engineering, AI-assisted development tools, and AI deployment frameworks is becoming table stakes. IT companies are explicitly looking for engineers who can extract more output per hour using AI — not those who resist or avoid it.

3. The “Settle In and Stay” Model Is Dead

The earlier Indian IT culture of joining a company at 22 and retiring at 58 from the same firm is genuinely over. Continuous reskilling, lateral career moves, and willingness to learn new technology stacks every two to three years are now baseline survival requirements.

4. Specialised Verticals Will Outlast Generalists

Engineers with deep expertise in specific industries — healthcare IT, fintech infrastructure, cybersecurity, AI/ML platforms, cloud architecture, data engineering — will continue to command demand and salaries. Generalists doing routine application support work face the toughest road ahead.

What About Freshers? Should You Still Pursue an IT Career?

Here’s the genuinely interesting paradox in this entire layoff cycle. Even as Cognizant announces 4,000+ layoffs, it is simultaneously hiring more than 20,000 fresh graduates in 2026. Infosys, TCS, and Wipro have all maintained large fresher hiring programmes despite mid-level cuts.

The reason is straightforward economic logic. A fresh graduate costs Rs. 4–6 lakh per year in salary. A mid-level engineer with eight years of experience costs Rs. 18–25 lakh annually. If AI tools can make that fresher 60–70% as productive as the senior, the math becomes brutal — companies would rather replace one senior with two trained-on-AI freshers, save money, and improve their per-employee productivity ratios.

For students entering engineering colleges or about to graduate, the implications are clear: get hired, but go in with eyes open. Use the first two to three years to gain genuine expertise and AI fluency. Don’t expect the same career trajectory your parents or older siblings followed — the rules of the game have changed permanently.

The Bigger Picture: India’s Growth Story Has a New Problem

Last week, global equity research firm Bernstein wrote an open letter to Prime Minister Narendra Modi warning of a deepening employment crisis, particularly as AI threatens quality jobs in the IT sector. The IMF still projects India will remain the fastest-growing large economy in 2026, but quality job creation — the kind that supports middle-class consumption — is becoming the country’s most urgent economic challenge.

The IT sector wasn’t just a source of jobs. It was the engine that drove real estate growth in tech hubs, fuelled education investments by middle-class families, sustained domestic aviation and tourism, and created the consumption boom that defined urban India for two decades. If AI permanently shrinks this engine, India needs to find a new one — and quickly.

Frequently Asked Questions

How many employees will Cognizant actually lay off in India?

The official number has not been confirmed by Cognizant. Reports vary between 4,000 and 15,000 globally, with India expected to absorb the majority since 72% of the workforce is based here. The exact figure will depend on the severance package structure adopted by the company.

Are other Indian IT companies also planning AI-driven layoffs?

Yes. TCS already laid off approximately 12,000 employees in July 2025. Industry analysts widely expect Infosys, Wipro, HCLTech, and Tech Mahindra to undertake similar restructuring exercises in 2026, though the scale and timing will vary. The structural shift towards AI-led service delivery is industry-wide, not company-specific.

Should I switch careers if I work in mid-level IT in India?

Switching careers entirely is rarely the right answer for most professionals. A more sustainable approach is rapid upskilling in AI tools, cloud platforms, and specialised domains within IT itself. Roles in AI deployment, MLOps, cybersecurity, and data engineering are growing even as traditional roles shrink.

The Bottom Line

Cognizant’s Project Leap isn’t an aberration — it’s a preview of what every major Indian IT services company will likely announce in some form over the next 18 months. The era of guaranteed job security in IT services, built on labour arbitrage and predictable client demand, has ended. What replaces it will reward adaptability, AI fluency, and specialisation far more than tenure or seniority.

For the 25 lakh+ Indians currently employed in IT services, the message is uncomfortable but actionable: the rules have changed, the playbook needs rewriting, and the time to adapt is now — not after the next round of layoffs lands on your desk.

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As every customer shares their sensitive information online to buy a product or service, their data is a potential target, and if accessed, it can lead to card fraud. For all types of financial frauds targeting customers, online transactions account for the largest share of that loss. 

Confidential information and payments-related data are always at risk, so it’s not about analysing the risk, but how well it’s protected is the more important question. 

One of the steps for protection is card tokenisation; let’s see how it’s an effective tool in the digital payment security system. 

What is Card Tokenisation?

Card Tokenization is the process of replacing sensitive card data, like the 16-digit card number, expiry date, the CVV code and other hidden information, with a randomly generated string of characters called a token. 

More importantly, this token has no connection to the original data, and it’s meaningless. Even if someone were to access this data, they cannot do anything, as the tokenised numbers cannot be traced back to the original numbers. 

How Tokenisation Works in an Online Transaction?

Behind the scenes, when anyone enters sensitive information on a website while purchasing products, this is what happens when the digital payment security system has card tokenization. 

1. Customer enters card details on the payments page. 
2. Card data is sent to the payment processor or into the tokenisation value. This data is not stored on the merchant’s server. 
3. Once added to the vault, a unique token is generated, and this new token is sent back to the merchant. 
4. The merchant stores the token and does not read or save the card numbers and uses the token for future reference. 
5. When the transaction is processed, the token is sent to the payment network, which is then mapped to the real card number within the secure vault to complete the payment. 

In this entire process, the merchant will never see the card information and details as they are secured by the payment provider. 

How Tokenisation Strengthens the Digital Payment Security?

1. Tokenisation Limits the Attack Surface: As merchants can never get hold of the data, breaching or accessing the merchant network will yield nothing to the attackers.
   
2. Prevents Card Reuse: Even if the attackers manage to intercept the token during transmission, they cannot use card information, as which token numbers are associated with which cards isn’t possible to know.
   
3. Reduces Insider Threat Risk: Employees or internal systems that access transaction records only see tokens, not any sort of card information or other data. It’s protected even from internal systems and employees.
   
4. Simplifies Compliance: Because tokenised systems do not store cardholder data, merchants face a lighter PCI DSS audit scope, which reduces both cost and risk.

Tokenisation and Encryption, What’s the Difference?

Encryption and tokenisation are not the same and vary in terms of format, data recovery, etc. 

• In encryption, the card data is converted into an unreadable format using a key, called a decryption key. Using this key, the original data can be recovered, compromising the information. So if the key is exposed, data can be accessed.
  
• Tokenisation replaces the data with a random value, which has no relevance. It does not have any algorithm or key that can be reverse-engineered to reveal which tokens are associated with this card information. Hence, this is a stronger option for merchants looking to secure customer data. 

Conclusion

Card tokenisation isn’t just an added security layer; it’s a complete system that eliminates the sensitive card or other financial information you often share during online transactions. 

The digital payment security it provides ensures sensitive information never reaches the merchant systems, as tokenisation breaks the entire model on which most payment fraud depends. 

So for business payment systems, tokenisation lowers compliance overhead and the possibility of a breach. For customers, it ensures their sensitive information is never revealed and it stays safe. In a payments landscape where breaches are inevitable, tokenisation makes sure that what gets stolen is worthless.

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The Vivo Y400 Pro 5G is now available in India at a reduced price. Amidst the rising prices of smartphones, buyers are receiving better value for their money. This smartphone was launched in the Indian market in the year 2025.

Under a limited-time offer, all its variants are available with a price cut of Rs 2,000.

Updated Price After Discount

This smartphone is available in two storage variants, both featuring 8GB of RAM:

128GB Variant: Now priced at Rs 23,999 (Previously Rs 25,999)
256GB Variant: Now priced at Rs 25,999 (Previously Rs 27,999)

This discount can be availed through select bank offers on platforms like Amazon, as well as on Vivo’s official website. However to take advantage of this offer, buyers must complete the transaction via EMI using their eligible credit cards.

Display and Design

The Vivo Y400 Pro 5G features a 6.77-inch Full HD+ AMOLED display with a 120Hz refresh rate. This ensures incredibly smooth scrolling and delivers a superb viewing experience. Furthermore, the device boasts a dual 3D curved design and offers a peak brightness of up to 4500 nits.

This phone also features an IP65 rating for dust and water resistance and it boasts a slim profile.

Performance and Software

This device is powered by the MediaTek Dimensity 7300 processor. Built on a 4nm architecture, it delivers efficient and stable performance for everyday tasks and multitasking.

It features 8GB of RAM along with virtual RAM expansion capabilities, which further enhances performance. This smartphone runs on the Android-based Funtouch OS 14 and utilizes UFS 3.1 storage for rapid data access.

Camera Features

For photography, this phone features a dual rear camera setup:

• A 50-megapixel primary sensor
• A 2-megapixel bokeh lens

On the front, it houses a 32-megapixel selfie camera, designed to capture clear photos and facilitate high-quality video calls.

Battery and Charging

The Vivo Y400 Pro 5G is equipped with a 5,500mAh battery, which is claimed to offer long-lasting performance on a single charge. It supports 90W fast charging, allowing the device to recharge rapidly.

The device also includes battery health optimization features, aimed at maintaining the phone’s performance over the long term.

Final Verdict

With a price cut of Rs 2,000, the Vivo Y400 Pro 5G has become an even more attractive option within the mid-range segment. Its combination of a curved AMOLED display, powerful processor, robust battery and fast charging capabilities makes it an excellent choice for users seeking a balanced smartphone experience.

Also Read: Samsung Galaxy Z Fold 7 Receives Rs 10,000 Price Cut on Flipkart, Along with Additional Offers