Tech Mahindra at NVIDIA GTC 2025 – Riding the Agentic AI Wave

NVIDIA GTC 2025 sent a clear signal: Agentic AI is the next major wave, set to disrupt the services industry. For years, businesses operated under a people-first model, scaling teams to drive growth. But that era is ending. Silicon Valley is already transitioning to this next phase.

The new game is Agentic AI – to scale with intelligence.

Just like mobile-first thinking reshaped business strategies a decade ago, agentic-first is now the next foundational shift. Companies that fail to adapt may find themselves irrelevant.

Agentic AI: A 3-Year Runway to Redefine Services

The services industry will evolve, not in impact, but in the scale of its workforce.

AI agents are rapidly replacing human-dependent workflows in customer service, IT support, legal research, and even software development. Here’s how the agentic AI playbook for the next three years looks like:

• RFPs will demand Agentic AI: Just as cloud-native became essential to modern business, agentic-first will soon be the baseline expectation.
• Adoption speed matters: It’s no longer “if” but “how fast” companies can embed AI across operations.
• Scale through intelligence, not headcount: The key to success will be deploying AI agents across every service layer to drive scalability.

Talent Focus is Changing: It’s about AI-Driven Quality

Historically, hiring more people was often seen as the growth model in Silicon Valley. GTC 2025 focused on the extent to which AI can enhance quality and performance. Companies already integrating AI deeply are outperforming those still stuck in people-heavy models.

Key implications:

• AI-native functions are essential: Every department (sales, support, finance, or HR) must embed AI agents to stay competitive.
• New success metrics: Productivity won’t be defined by team size, but by how effectively AI enhances decisions and outcomes.
• Integration is the differentiator: It’s not just about having AI tools. It's about how deeply and effectively they’re used.

Stop measuring businesses by employee count. Start measuring them by AI capability.

Hardware Meets Software: The GSI Advantage

AI hardware is advancing fast. GPUs, TPUs, and specialized chips are getting smarter and faster, enabling increasingly complex models. But hardware alone isn’t enough.

The emerging opportunity:

• Hardware players need execution partners: Enterprises require GSIs like Tech Mahindra to help optimize performance.
• Value is shifting to integration: Success lies not just in building AI apps, but in aligning them with the right hardware setups.
• Execution will matter most: Businesses that deliver real-world-ready AI solutions will lead the next phase of growth.

Tech Index: Benchmarking AI Maturity

To scale AI effectively, businesses need a clear measure of readiness. That’s where the “Tech Index” becomes important - a practical way to assess AI literacy and depth across the organization.

What this means:

• From sales to service delivery, AI proficiency will matter. Companies that still have executives talking about AI at a surface level will fall behind.
• A business’s “Tech Index” will define its market position. Just like companies are ranked by financial performance, they will soon be ranked by how AI-native their operations truly are.
• Lack of AI literacy means missed opportunities. Employees, leaders, and clients alike need practical AI fluency, not just theoretical knowledge.

The Roadmap to an AI-Driven Enterprise

The future enterprise will operate with AI agents at every level. Here’s how to get there:

• Automate first, then add intelligence. Begin by deploying AI agents for repetitive tasks, then enable autonomous decisions.
• Scale beyond pilots to full AI adoption. Many get stuck in proof-of-concept mode, but embedding AI in core business functions will determine success.
• Cultivate an AI-first mindset company-wide. Every function needs an AI perspective, not just tech.

The longer the delay, the harder it will be to catch up

Tech Mahindra’s AI Solutions at GTC 2025

Tech Mahindra unveiled a powerful suite of AI-driven innovations across industries - telecom, pharma, education, defense, and more. The solutions include:

• Network Language Model (NLM): Natural language-powered diagnostics and digital twin-based resolution in telecom networks.
• Pharmacovigilance Automation: Automates email monitoring and adverse event case intake using LLMs to boost drug safety and compliance.
• Sovereign LLMs – Project Indus & Sahabat.AI: National LLMs for Hindi and Bahasa promoting AI access and language diversity.
• Quantum Security Services: Post-quantum cryptography and secure key management to protect future digital infrastructures.
• Digital Twins for Industrial Metaverse: Simulations and real-time optimization for telecom networks, factories, and urban infrastructure.
• MANAV AI Tutor: A hyper-real, AI-based tutor offering personalized and interactive learning experiences.
• Mine-Detecting Robot (MDR): A spider-like, swarm-intelligent robot with Ground Penetrating Radar (GPR) for safe mine detection and neutralization.

Conclusion

NVIDIA GTC 2025 reinforced that Agentic AI is not just experimental. It’s the foundation on which the next decade of enterprise value will be built. The businesses that survive and thrive will be those that operationalize it quickly across functions.

Tech Mahindra’s goal is to position Agentic AI at the core of every decision, process, and partnership. Our immediate priorities are:

• Embedding Agentic AI into every client-facing solution to deliver tangible, measurable outcomes.
• Deploying autonomous agents across internal operations to cut turnaround times and drive consistency.
• Partnering closely with hardware leaders to co-create software that’s tightly tuned to run on advanced AI infrastructure.
• Launching a company-wide AI Proficiency Index to benchmark, track, and upskill every role, from technical teams to client-facing functions.

The question isn’t whether Agentic AI will be part of your future. It’s how soon you’ll start shaping that future. In the next 12 months, it’s time to make strides. In three years, those who lead the charge will define the industry. Those who wait will be left behind.