Zoho Founder Warns AI Could Reshape Jobs: What Students and Professionals Need to Know

Artificial intelligence is changing how companies develop software, manage operations, and complete everyday tasks. Now, Zoho founder Sridhar Vembu has highlighted a growing concern: AI could allow one skilled person to perform work that previously required a much larger team.

In comments reported by The Times of India on October 29, 2026, Vembu warned that the risk of job disruption is becoming more real for people whose work is performed on computers. However, he also clarified that this does not mean 90% of computer-based workers will become unemployed.

His comments have sparked an important discussion about the future of employment and the skills workers will need as AI adoption grows.

What Did Zoho Founder Sridhar Vembu Say?

Sridhar Vembu, the founder of Zoho, highlighted how increasingly capable AI tools could improve individual productivity.

His concern is that a skilled professional using AI may be able to complete tasks that previously required several employees. For businesses, this could reduce the time and resources needed to complete certain types of work.

However, the impact may not be limited to job reductions.

Vembu also pointed out that lower costs could enable businesses to hire for work they previously could not afford. For example, smaller companies might find it easier to invest in software development or digital marketing services.

The central issue is how AI changes the distribution of work across the economy.

Will AI Replace Jobs in the Future?

AI is already capable of assisting with activities such as writing, coding, research, data analysis, customer support, and content creation.

As these tools improve, some repetitive tasks may require fewer working hours. Companies may also reconsider how teams are structured and which skills they need when hiring.

However, it would be misleading to conclude that AI will eliminate all jobs in these fields.

The actual impact will depend on several factors:

• The type of work: Repetitive, predictable tasks may be easier to automate than work requiring complex judgment.
• Business demand: Lower operating costs may encourage companies to introduce new products and services.
• Human expertise: Many roles require communication, accountability, problem-solving, and an understanding of real-world situations.
• AI adoption: Different companies and industries will adopt AI at different speeds.
• New opportunities: The use of AI may create demand for skills and services that businesses previously could not afford.

The future of work is therefore likely to involve a combination of changing responsibilities, new opportunities, and disruption in certain occupations.

What Does This Mean for Indian Students and Freshers?

For students and freshers entering the job market, the discussion highlights the importance of preparing for workplaces where AI tools are increasingly common.

Simply learning a programming language or completing a course may not be enough to demonstrate job readiness. Candidates also need to show that they can use their knowledge to solve practical problems.

Here are five areas worth focusing on.

1. Learn to Use AI Tools Effectively

AI tools can help with research, coding practice, documentation, brainstorming, and understanding unfamiliar concepts.

Students should learn how to use these tools productively while checking their accuracy rather than accepting every answer without verification.

2. Build Practical Projects

Projects demonstrate how well a candidate can apply knowledge.

Instead of listing only technologies on a resume, create projects that solve real problems. Explain the decisions you made, the challenges you encountered, and how you tested your solution.

3. Strengthen Your Fundamentals

AI-generated answers can be incorrect, incomplete, or unsuitable for a particular situation.

A strong understanding of programming fundamentals, databases, analytical thinking, communication, and problem-solving helps professionals evaluate AI-generated work.

The relevant fundamentals will vary by career path, but the principle applies across industries.

4. Improve Communication and Critical Thinking

Employers need people who can understand requirements, explain their ideas, collaborate with colleagues, and make informed decisions.

These skills also help professionals identify when an AI-generated solution does not address the actual problem.

5. Keep Learning as Roles Change

Technology and workplace expectations evolve over time.

Students should follow developments in their chosen fields, practise relevant skills, and update their portfolios as new tools and workflows become important.

The objective is not to learn every new AI tool. It is to remain adaptable and build skills that transfer between different tools and situations.

Which Skills Could Become More Important in the AI Era?

The importance of individual skills will vary by role, but several areas are worth developing:

• AI literacy: Understanding what AI tools can and cannot do.
• Problem-solving: Breaking complex problems into manageable steps.
• Data analysis: Interpreting information and drawing reasonable conclusions.
• Communication: Explaining ideas clearly and working with different teams.
• Domain knowledge: Understanding the industry or business problem behind a task.
• Quality assurance: Checking accuracy, security, reliability, and the usefulness of AI-generated results.
• Adaptability: Learning new workflows and adjusting to changing responsibilities.

For aspiring software developers, this could mean combining programming fundamentals with AI-assisted development and testing.

For digital marketers, it could mean combining content and campaign skills with analytics and responsible AI use.

For professionals in other industries, the relevant combination will depend on the tasks they perform and the needs of their employers.

What Should Working Professionals Do Now?

Existing employees do not need to assume that their jobs will disappear immediately. However, ignoring changes in workplace technology may make it harder to adapt when responsibilities evolve.

A practical approach is to identify repetitive tasks in your current role and explore whether approved AI tools can help complete them more efficiently.

Professionals can then focus on activities that require judgment, collaboration, specialist knowledge, and responsibility for outcomes.

For example, a software developer might use AI to draft routine tests but still review the code, identify security risks, and verify that the application works correctly.

Similarly, an analyst might use AI to assist with summarising data but remain responsible for interpreting the findings and explaining their limitations.

AI should be treated as a tool that supports work, not as a substitute for understanding the work itself.

The Bigger Picture: Productivity and Employment

One of the most important points in Vembu's comments is that higher productivity does not automatically translate into the same employment outcome in every industry.

When businesses can complete tasks more affordably, they may need fewer people for particular activities. At the same time, lower costs may make new projects and services financially viable.

This creates uncertainty about how the benefits and costs of AI adoption will be distributed.

Some workers may find new opportunities, while others may need to learn new skills or move into different roles. The transition could be difficult, especially for people whose existing responsibilities change faster than they can retrain.

The scale and timing of these changes remain uncertain. It is therefore important to distinguish warnings about potential disruption from proven predictions about future unemployment.

Final Thoughts

Sridhar Vembu's warning is a reminder that AI is becoming an important factor in how businesses organise work.

For students, freshers, and experienced professionals, the practical response is to build strong fundamentals, understand relevant AI tools, develop real-world skills, and stay prepared to learn.

No single skill guarantees job security, and nobody can predict exactly how every profession will change. However, combining technical or professional expertise with adaptability and sound judgment can help people prepare for a changing employment landscape.

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