Freshers Read This: IIT Madras Study Says AI Could Shrink Your First Job Options

Every year, lakhs of students in India finish college with one hope: a first job that lets them learn, grow and move up. A new paper from IIT Madras suggests that first step may be getting narrower.

The study looks at how artificial intelligence is changing careers, and its message isn’t simply “AI will take jobs.” It is more specific and, in some ways, more worrying. The people at the start of their careers may feel the effects first, and not everyone will pay the same price.

Why entry-level jobs are the most exposed

Entry-level roles have always run on routine work. Freshers write basic code, prepare reports, sort data, draft documents and handle repeat tasks. This was never just busywork. It was how they learned the job.

AI tools now do much of that routine work in seconds. When a company can get a first draft from software, it may need fewer juniors to produce one. The paper points to this risk: if the bottom rungs of the ladder get thinner, young workers have fewer places to start.

The bigger problem: how do people learn?

Think about how a senior engineer, analyst or manager became good at their job. Mostly by doing small, boring tasks for years, making mistakes and getting corrected. If AI takes over those tasks, juniors lose their practice ground.

So the concern isn’t only fewer jobs today. It is who becomes the experienced professional ten years from now if nobody gets the chance to learn the basics.

AI’s costs don’t fall equally

Another theme in the coverage is that AI’s downsides are spread unevenly across workers. Some people benefit from faster tools and better output. Others face tighter monitoring, higher targets and more pressure.

The paper flags surveillance and work stress as real concerns. When AI tools track keystrokes, speed, activity or output, work can start to feel like constant evaluation. For a young employee who is already anxious about job security, that adds a heavy mental load.

What this means for universities

The study’s message to colleges is hard to ignore: training students for tasks that AI can already do is a losing strategy.

Education experts are increasingly saying that universities may need to:

• Teach judgment, not just procedure. Students should learn to question AI output, not just accept it.
• Build real project experience. Internships, live projects and industry exposure matter more when entry-level jobs are scarce.
• Focus on skills AI struggles with. Communication, problem framing, ethics, teamwork and domain knowledge hold their value.
• Make AI literacy basic. Using AI well is becoming a baseline skill, like using the internet once was.

What freshers can do right now

If you’re a student or a recent graduate, panic won’t help, but a plan will.

1. Learn the tools, but also the fundamentals. If you only know how to prompt, you can be replaced. If you understand the work underneath, you can check and improve what AI produces.
2. Build proof of work. A portfolio, GitHub projects, case studies or published writing say more than a degree alone.
3. Look beyond the obvious roles. AI is also creating new jobs in data, AI operations, testing and domain-specific work.
4. Protect your mental health. If your workplace feels like constant surveillance, talk to mentors and peers, and don’t treat the stress as normal.
5. Keep learning in public. Share what you learn. Visibility opens doors when job postings shrink.

The balanced view

It’s worth remembering that research papers describe risks and possibilities, not guaranteed outcomes. AI may also create new kinds of work, and companies may find that they still need junior talent to build their future teams. The real question is whether employers, colleges and policymakers act early enough to keep the pathway open.

The IIT Madras study doesn’t say the future is hopeless for young professionals. It says the path is changing, and that colleges, companies and students need to change with it. For India, with one of the youngest workforces in the world, getting this right matters a great deal.

What do you think: is AI making it harder to start a career, or is it just changing how careers begin? Share your view in the comments.