TCS Layoffs 2025: A Wake-Up Call for India's Tech Industry — and How SusaLabs Is Building the Future

TCS layoffs have become a burning topic in 2025. One of the largest IT giants in India, Tata Consultancy Services, reportedly initiated workforce reductions across multiple verticals — including mid-level managers, testers, and support engineers. The move has sent shockwaves across the software industry, and it raises deeper questions:

• Are traditional IT models becoming outdated?
• Is AI replacing human jobs?
• What should developers, startups, and businesses do to prepare for this change?

At SusaLabs, we don’t just observe the trend. We build what’s next — with AI-first technology, custom ERP/CRM solutions, and modern software development services that focus on innovation, not just headcount.

Let’s unpack the situation and explore how SusaLabs offers an alternative vision to the one being laid off.

TCS Layoffs: What’s Really Happening?

In Q2 2025, TCS reportedly laid off over 3,000 employees, citing reasons such as:

• AI-driven automation reducing manual workload
• Skill mismatch in legacy tech stacks
• Cost-cutting to improve margins amid declining global projects
• Pivot towards new-gen technologies like machine learning, cloud computing, and generative AI

💬 A senior project manager told Economic Times, “Many roles are simply not relevant anymore. We are replacing them with tools.”

This isn’t a TCS-only story. It’s a warning for the entire IT ecosystem.

What It Means for Developers and Tech Businesses

If you’re a software engineer, support executive, or even a product consultant, the message is clear: Adapt or be left behind.

• Manual testing roles? Being replaced by AI test automation.
• Support desks? Handled by AI-powered chatbots and self-service platforms.
• Legacy stack developers? Being moved aside for cloud-native, low-code/no-code talent.

This shift demands new-age skills — in AI, SaaS, serverless infrastructure, and custom software engineering.

💡 Enter SusaLabs: Why We’re Not Laying Off, But Building Up

Unlike large IT firms stuck in old delivery models, SusaLabs was born in the age of AI. We believe in lean, agile, and automation-first growth.

Here’s how we’re different:

TCS & Traditional IT

SusaLabs

Resource-heavy, manual processes

Automated, AI-first development

Large non-technical management

Lean, tech-driven leadership

Fixed-scope waterfall delivery

Agile, sprint-based iteration

Generic software packages

Custom CRM & ERP tailored to industry needs

📈 While others cut back, we’re scaling up — because we build tools that eliminate waste, not people.

🤖 SusaLabs AI: The Tool That Replaces Repetitive Work — Not the Team

At the heart of our operation is SusaLabs AI, an in-house ecosystem that empowers:

• Real-time code generation and debugging
• Smart ERP workflows to manage inventory, logistics, or HR without micromanagement
• AI-integrated CRMs that learn from customer behavior
• AI-powered digital marketing to reduce ad waste and boost ROI

🧠 It’s not about firing people. It’s about freeing them from boring work so they can do better things.

For Businesses: A Smarter Way to Build Than Outsourcing to Giants

Are you a startup founder or business leader who’s suddenly feeling uncertain after hearing about TCS layoffs?

Here’s your chance to switch to a smarter, more agile software partner.

With SusaLabs, you get:

• Custom Software Development Tailored apps built to your business logic, not a template from 2009.
• ERP Solutions Our ERP systems grow with your team, not slow them down.
• CRM Systems That Actually Convert Know your customer like never before. Automate outreach. Reduce churn. → Explore AI-powered CRMs
• SaaS Product Development Have an idea? We’ll take it from MVP to scale. → Visit our SaaS page

📊 Case Study: Growth Amidst Layoffs

While TCS is laying off employees, SusaLabs recently:

• Deployed 5+ custom SaaS products for Indian B2B clients
• Delivered AI-driven ERP for a logistics company with a 98% automation rate
• Scaled its CRM stack for a healthcare client using generative AI workflows

We’ve shown that when you build smart, you don’t need to reduce — you refocus.