AI Will Not Diminish IT Services, Their Role Will Become More Important: Anand Mahindra

Artificial intelligence (AI) is transforming industries at an unprecedented pace, sparking concerns that automation could reduce the need for traditional IT services. However, Mahindra Group Chairman Anand Mahindra believes the opposite is true. According to him, AI will not diminish the IT services industry but instead make its role even more important as businesses increasingly rely on technology partners to adopt, integrate, and scale AI solutions.

AI Adoption Will Create New Opportunities

Speaking about the future of AI and technology services, Mahindra emphasized that artificial intelligence should be viewed as an enabler rather than a replacement for IT companies. While AI can automate repetitive tasks, improve productivity, and accelerate software development, organizations will continue to need experts to implement AI systems, modernize legacy infrastructure, strengthen cybersecurity, manage data, and ensure AI deployments align with business objectives.

The rapid adoption of generative AI across industries is reshaping enterprise operations. However, deploying AI at scale involves much more than installing new software. Businesses require expertise in cloud infrastructure, data engineering, governance, compliance, and enterprise integration to unlock AI’s full potential.

This growing complexity is expected to increase demand for IT service providers that can guide organizations through their AI transformation journeys. Rather than reducing workloads, AI is creating new opportunities in consulting, AI integration, infrastructure modernization, model deployment, and ongoing optimization.

IT Professionals Will Need to Evolve

Mahindra’s remarks reflect a broader industry trend in which AI is changing the nature of technology jobs instead of eliminating them. Routine coding, testing, and operational tasks may become increasingly automated, allowing professionals to focus on higher-value responsibilities such as AI architecture, solution design, cybersecurity, business consulting, and innovation.

As a result, continuous upskilling will become essential for the IT workforce. Technology companies are already investing heavily in training employees in artificial intelligence, machine learning, cloud computing, and data analytics to prepare for the next phase of digital transformation.

India’s IT Industry Stands to Benefit

India’s IT services sector is widely regarded as one of the biggest beneficiaries of the global AI boom. Leading technology firms are expanding their AI capabilities by developing generative AI platforms, launching AI consulting practices, and helping enterprises integrate AI into business operations.

With organizations worldwide accelerating investments in artificial intelligence, Indian IT companies are expected to play an increasingly important role in helping clients implement AI responsibly, securely, and efficiently.

AI Will Complement Human Expertise

Rather than replacing human expertise, AI is expected to complement it. While AI can analyze massive amounts of data, automate workflows, generate content, and assist with software development, strategic decision-making, creative problem-solving, customer engagement, and ethical governance will continue to rely on human judgment.

This collaborative approach is likely to define the future of enterprise technology, with AI handling repetitive processes while skilled professionals focus on innovation, business strategy, and delivering value to customers.

Looking Ahead

Anand Mahindra’s comments reinforce the growing view that artificial intelligence represents an evolution of the IT services industry rather than a disruption. As AI adoption accelerates across sectors, businesses will rely even more on experienced technology partners to navigate increasingly complex digital ecosystems.

For the IT services industry, the AI era is shaping up to be less about replacement and more about reinvention, creating new opportunities for growth, innovation, and long-term relevance in the global technology landscape.