Indian CEOs Are Reassessing Workforce Requirements as AI Changes Business Operations

3. Indian CEOs Are Reassessing Workforce Requirements as AI Changes Business Operations

Artificial intelligence is influencing how Indian companies approach recruitment, workforce planning and employee development.

A report on KPMG's 2026 India CEO Outlook, covered by Business Today, highlights how business leaders are reassessing workforce requirements as AI adoption expands.

The findings indicate that organisations are considering workforce reductions in certain areas while simultaneously increasing demand for people with AI and technology capabilities.

Companies are also reconsidering the skills expected from entry-level employees. As AI tools increasingly handle routine and repetitive activities, employers are placing greater importance on technical understanding, problem-solving and the ability to work with technology.

This shift does not mean that AI is replacing every job. Instead, it suggests that the responsibilities associated with many existing roles are changing.

Why This Matters:

Students entering the job market need to understand how AI can be applied to actual business problems. Familiarity with AI tools alone may not be sufficient.

For example, using an AI assistant to generate content demonstrates tool familiarity. Building an automated content workflow, connecting it to external applications and evaluating its output demonstrates a stronger level of practical capability.

The ability to combine technical knowledge with business understanding will become increasingly important.

Source: Business Today — KPMG 2026 India CEO Outlook coverage.

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INDUSTRY TAKEAWAY: WHAT SHOULD STUDENTS AND EARLY-CAREER PROFESSIONALS UNDERSTAND?

The latest developments point towards an important shift in India's technology and employment landscape.

AI is creating new business opportunities, but employers are also reassessing the skills required from their workforce. Technology job openings are recovering, enterprise AI adoption is expanding, and educational institutions are beginning to rethink how students should prepare for the workplace.

For students and early-career professionals, the focus should be on developing practical capabilities rather than collecting certificates alone.

Five areas worth prioritising:

1. Programming and problem-solving fundamentals.
2. Practical AI and LLM application development.
3. API integration, databases and workflow automation.
4. Real-world projects documented on GitHub.
5. Technical communication and the ability to explain project decisions.

The next generation of technology professionals will need to demonstrate not only what they know, but also what they can build, implement and solve.

The key message: Learn the technology, apply it to real problems, build evidence of your capabilities and continuously improve.