Will AI Replace Entry-Level IT Jobs? What Students Should Learn in 2027

A final-year student scrolls through news about Indian IT hiring and sees two stories. One company is pausing fresher targets. Another is reaffirming 20,000 campus hires. Both are real, and the gap between them is exactly what students need to understand before choosing what to learn.

The practical question is not whether AI will “replace IT jobs.” It is which entry-level work is shrinking, where new openings are appearing, and which Generative AI & Agentic AI skills make a fresher useful from the first week. The figures below come from recent company statements and industry reports as of October 2026, and they should be read as signals, not forecasts.

Table of Contents

1. What the Latest Hiring Signals Say
2. What AI Is Changing in Entry-Level Work
3. Where Entry-Level Opportunities Are Appearing
4. Skills Students Should Learn in 2027
5. A Realistic Six-Month Plan

What the Latest Hiring Signals Say

The picture for the future of IT jobs in India is uneven. Infosys has said it will keep its campus target of roughly 20,000 freshers for FY27, and its CEO described AI as a productivity tool, not a replacement for engineers. Wipro’s HR head said the company has no fresher hiring target for FY27 and will decide based on demand. TCS has reportedly issued about 25,000 fresher offers for the year, described as a slow start.

Industry-wide data leans cautious. An IT-BPM workforce outlook projects net additions below 70,000 in the first half of FY27, down from roughly 95,000 a year earlier, and expects hiring to stay subdued through 2027 unless technology spending rebounds. The same report notes that employers increasingly expect graduates to show practical experience with AI-assisted development before they join. Meanwhile, another report cites AI hiring in India up about 59.5% year on year.

In short, volume hiring is under pressure, and AI-skilled hiring is growing.

What AI Is Changing in Entry-Level Work

AI tools now draft boilerplate code, simple tests, documentation and first-line support replies. Those tasks once trained freshers, and companies need fewer people doing them manually. The AI impact on entry-level IT jobs shows up less as layoffs and more as higher expectations and tighter selection.

The task that remains valuable is verification. Someone has to confirm that generated code is correct, tests reflect real behaviour, and answers sent to customers are accurate. The entry-level role is moving from writing first drafts to checking and improving them.

Where Entry-Level Opportunities Are Appearing

Large IT services firms are shifting toward specialised hiring. According to a hiring-platform executive, specialised roles in AI, cybersecurity, cloud and data engineering make up about 30–40% of campus hiring and may rise to 45–55% in FY27. The same source says select AI-focused skill sets now command ₹15–16 LPA, compared with around ₹6 LPA for earlier “digital” tracks, though pay claims like these vary by employer.

Forward Deployed Engineer roles are also in the news. TCS and Infosys have reportedly spoken of hiring thousands of them over the next few years, meaning developers who solve client problems using AI. Generative AI careers at entry level include AI application development, ML engineering and AI-assisted data analysis, and Agentic AI skills matter wherever teams deploy agents that call tools and finish multi-step tasks.

Skills Students Should Learn in 2027

AI skills for freshers sit on top of fundamentals, not instead of them. Data structures, databases and basic networking help you notice when a tool gives a wrong answer.

A Realistic Six-Month Plan

1. Months 1–3: Strengthen Python, SQL and Git, and finish one clean non-AI project with tests.
2. Months 4–5: Build a retrieval-based question-answering app, deploy it, and record how you tested its answers.
3. Month 6: Add one tool to turn it into an agent, set a step limit, log every action, and write up what failed.
4. Throughout: Use AI coding assistants daily, but be able to explain every line you submit.

Interviewers increasingly ask you to walk through a project. Describing what broke, how you measured it and what you changed carries more weight than a list of tool names.

Frequently Asked Questions

1. Will AI replace entry-level IT jobs in 2027?

No, but it is shrinking routine tasks and making hiring more selective and skills-focused.

2. Is fresher hiring in India rising or falling?

It is mixed, with Infosys planning about 20,000 freshers for FY27, Wipro holding no fixed target, and an industry outlook expecting subdued net hiring through 2027.

3. Which AI skills should freshers learn first?

Python, SQL, Git and testing, followed by LLM APIs and retrieval-based applications.

4. Do I need Agentic AI skills as a fresher?

They are not required everywhere, but they are increasingly relevant as firms plan large intakes for AI-focused deployment roles.

5. Are AI certificates enough to get hired?

No, because employers look for projects that prove you can build, test and explain working systems.

Conclusion

AI is not erasing entry-level IT work so much as raising its floor. Students who can build, verify and explain AI-assisted systems will stand out in a selective market. For your next step, build a small question-answering app over your own notes this month and write a one-page report on how you tested it.

If you were graduating in 2027, would you spend the next six months deepening core coding skills or building an AI agent project, and why?

Follow NareshIT for more practical insights on technology, skills, and career development.