Fresher Hiring Trends: What Changed in Indian Tech Recruitment in 2026

If you’ve been applying for months and it feels harder than it should be, you’re not imagining it — but the reason isn’t “no one is hiring.” It’s that what companies are hiring for has shifted under freshers’ feet faster than most job portals, college placement cells, or even the companies’ own recruiters have fully caught up with.

Here’s the honest, data-backed picture of what’s actually changed in 2026, pulled from industry hiring reports rather than the recycled “top 10 companies hiring” listicles you’ll find elsewhere.

The headline number that explains everything

Naukri’s JobSpeak index — one of the most-watched monthly hiring trackers in India — showed fresher hiring growing a healthy 8% year-on-year in June 2026, with the April–June quarter up 9% YoY. On paper, that sounds like good news, and it is. But look one level deeper and a split appears:

• IT sector fresher hiring was actually down 3% YoY in the same period.
• AI-specific hiring within IT was up 16% YoY.
• AI/ML roles overall (across all sectors) grew 25% YoY — one of the strongest categories in the entire report.
• Telecom fresher hiring jumped 25% YoY; insurance grew 16%; banking fresher hiring fell 12%.

Put simply: the traditional “IT services fresher” pipeline that most engineering graduates were funneled into for the last two decades is shrinking, while a narrower, more specialised AI/ML/data track is expanding fast enough to mostly offset it in the topline numbers. If your résumé and prep are aimed at the old pipeline, you’re competing for a shrinking pool.

If they’re aimed at the new one, you’re in one of the fastest-growing categories in the market — and our breakdown of the skills required for AI/ML jobs as a fresher sets out what that track actually asks for.

Yes, there really is an AI effect — but it’s not what the panic headlines say

You’ve probably seen the scarier claims: “AI is deleting entry-level jobs.” The reality, based on how GCCs (Global Capability Centres — the India-based engineering/ops arms of multinational companies) and IT services firms are actually hiring, is more specific than that.

A few figures worth knowing:

• The average number of interviews per hire rose from 18 to 24 over the past year at many large employers, and seniority requirements for open roles rose roughly 30% in 2025 — companies are asking for more proof of capability before they’ll extend an offer, at every level, including entry-level.
• The specific work that used to justify hiring a large junior bench — basic QA, first-pass documentation, routine data triage — is exactly the kind of repetitive, well-defined task that AI tools now do faster. That doesn’t mean freshers are unemployable; it means the entry point into these roles has moved up a notch, from “can follow instructions” to “can supervise and improve on what the AI tool produces.”

The clearest concrete evidence of this: TCS — India’s largest IT employer — cut 23,460 jobs in FY26, and NASSCOM’s own Strategic Review 2026 shows the sector’s revenue growing 6.1% in FY26 while headcount grew only 2.3% in the same period. That gap is the whole story in two numbers: the industry (now roughly six million people, with AI-related revenue alone estimated at $10–12 billion) is still expanding, but revenue is decoupling from headcount as AI absorbs more of the work that used to require proportional hiring. NASSCOM itself has described providers “moving away from FTE [full-time-employee] delivery towards outcome-based, risk-sharing constructs” — a more formal way of describing the same shift toward project- and contract-based work covered below — and has warned of “workforce rationalisation” as companies move toward AI-enabled, product-aligned delivery models. So no, hiring hasn’t stopped. But the era of headcount scaling in lockstep with revenue is over, and that’s a structural change, not a temporary dip.

The employability gap is the real story, and it’s widening by degree type

This is the number that should worry (and motivate) freshers more than any AI headline: national employability — the percentage of graduates considered job-ready — reached 56.35% in 2026, per the India Skills Report, up from 54.81% the year before. That’s genuine, multi-year improvement.

But the average hides a huge spread by qualification:

If you’re a CS or IT graduate, you’re already in the highest-employability bracket nationally — the market isn’t rejecting you as a category, it’s rejecting under-prepared applicants within a category that’s otherwise in demand. If you’re from a less specialised technical background, the gap you need to close is bigger, and generic job-hunting advice (“just apply more”) won’t close it — targeted upskilling will.

The skills employers say they’re actually screening for, in order: problem-solving (49% of employers), AI/ML familiarity (39%), and — this one surprises people — emotional intelligence and communication (30%). Roughly 64% of HR leaders now say they define “talent” by demonstrated AI/ML, data, cloud, or cybersecurity capability rather than by degree pedigree alone. Your college name matters less than what you can actually show you can do.

GenAI fluency has quietly become a baseline expectation, not a bonus

One stat worth sitting with: over 90% of Indian employees have already started using generative AI tools at work. That’s not a niche early-adopter number anymore — it’s close to universal. Practically, that means “I’ve used ChatGPT” is no longer a differentiator on a fresher résumé; it’s assumed. What does differentiate candidates now is being able to talk concretely about using AI tools to speed up a real task — debugging, drafting documentation, analysing a dataset — with judgment about where the AI output was wrong and how you fixed it. Interviewers are increasingly probing for that judgment specifically, precisely because AI has made the “can you use the tool” question moot.

If you want to see what this looks like as an actual job description rather than a trend, the roles being posted in this category are specific about it — the Optum AI/ML engineer opening in Hyderabad, the EY Oracle AI developer role in Noida, and the S&P Global data analyst position in Ahmedabad each spell out the skill mix this section is describing.

Contract and project-based entry points are becoming normal, not a red flag

This is probably the single biggest structural shift freshers need to mentally adjust to: a growing share of entry-level roles, especially at consulting and IT-services-adjacent firms, are no longer permanent-from-day-one. Roughly 21% of entry-level roles at consulting firms shifted to contractual, apprenticeship, or project-linked formats over just two recent quarters. As foundit’s VP Anupama Bhimrajka put it, describing the pattern: “firms are choosing to hire people on short-term contracts that last only as long as the project.”

This isn’t necessarily a scam or a downgrade — it’s a real, industry-wide restructuring of how companies bring in junior talent, driven by the same forces above (AI absorbing routine work, firms wanting to validate fit before committing to a permanent seat). A few things worth knowing if you’re evaluating an offer like this:

• Freshers with genuine AI-related skills on these project-based tracks are reportedly earning 10–15% higher starting pay than standard entry-level benchmarks — the contract structure isn’t automatically a worse deal.
• More than a third of recent campus hires at some firms were placed directly into tech-focused verticals (analytics, digital risk, technology consulting) rather than generalist roles — a sign these firms are hiring for skill-specific project needs, not headcount for its own sake.
• The broader gig/freelance workforce in India is projected by the India Skills Report 2026 to reach 23.5 million by 2030 (other industry estimates put the figure closer to 21 million — the exact number varies by report and methodology, but the direction is consistent), and project-based hiring overall grew 38% year-on-year — this is a market-wide direction, not one company’s cost-cutting move.

The apprenticeship end of this is more formalised than most freshers realise: government-backed apprentice intakes at PSUs and central organisations run through a single registration, and our step-by-step guide to NATS 2.0 registration covers how to get onto that list.

The practical takeaway: don’t automatically rule out a role because it’s labelled “contract” or “project-based” rather than “permanent.” Evaluate it on the actual skills you’ll build and whether there’s a documented path to conversion — the same way you’d evaluate any internship, and along the lines our guide on choosing between a paid and unpaid internship sets out.

What campus and off-campus hiring actually looks like right now

For context, here’s what the biggest traditional recruiters are targeting for FY26, and it’s still substantial: TCS is targeting around 40,000 freshers, Infosys 20,000+, and Wipro 10,000–12,000. These aren’t small numbers — the large-scale fresher hiring engine hasn’t disappeared, it’s just gotten more selective at the entry gate. TCS’s non-engineering intake runs on a separate track, covered in our writeup of TCS BPS hiring for 2027.

TCS’s National Qualifier Test (NQT) is a useful concrete example of how that selectivity shows up in practice. The current process runs candidates through a roughly 190-minute exam (a foundation section on numerical/verbal/reasoning, plus an advanced section with additional reasoning and 90 minutes of coding — the advanced section is mandatory if you want a shot at the higher-paying Digital or Prime bands), followed by technical, managerial, and HR interviews.

Our full TCS NQT syllabus and eligibility guide breaks the paper down section by section. The three salary bands tell their own story about how differentiated the outcomes are for the same company, same test, same year:

A ₹5.6 lakh gap between bands, from the same recruitment drive at the same company, is exactly the “same test, wildly different outcomes based on preparation” pattern playing out industry-wide in 2026.

What this actually means for you, applying right now

Pulling all of this together, the honest read isn’t “fresher hiring is dying” or “AI is taking all the jobs” — it’s more specific than either headline:

1. Fresher hiring intent is genuinely up — 73% of employers plan to hire freshers in H1 2026, and nearly 88% are actively recruiting. The door is open.
2. The bar to walk through it is higher and more skill-specific than it was two years ago — generic engineering-degree credentials alone are employing a shrinking share of applicants; demonstrated AI/ML, data, cloud, or cybersecurity capability is doing increasing amounts of the sorting.
3. Where the growth is concentrating has moved — away from generalist IT-services benches, toward AI/ML-specific roles, GCCs (with a higher bar), and project/contract-based entry tracks that pay well but require more comfort with ambiguity about what comes after the project ends.
4. GenAI tool literacy is now assumed, not impressive — what impresses interviewers now is judgment about AI output, not the ability to open a chatbot.
5. Don’t dismiss contract or apprenticeship-labelled roles by default — evaluate them on the real skills and conversion path, the same way the market increasingly treats them as a legitimate front door rather than a consolation prize.

The freshers who are actually landing offers in this market right now aren’t the ones sending out the most applications — they’re the ones who’ve picked a specific, in-demand lane (AI/ML, data, cloud, or cybersecurity) and can show, concretely, that they’ve done real work in it. If you haven’t picked yet, our comparison of data analyst vs data scientist vs ML engineer lays out what each lane actually involves day to day, and which one your background is closest to.

Ready to apply? Browse today’s openings in IT & Private Jobs, Government Jobs, or AI/ML Jobs.

Frequently Asked Questions

Is it actually harder to get a fresher tech job in India in 2026 compared to previous years? It’s more selective, not smaller. Overall fresher hiring intent grew, but the definition of “employable” has narrowed toward specific, demonstrable skills rather than a degree alone — so the effort required to stand out has gone up even where the number of openings hasn’t gone down.

Should I avoid contract or project-based fresher roles? Not automatically. A growing share of legitimate entry-level hiring — including at large, reputable firms — now happens through contract, apprenticeship, or project-linked formats, and some pay better than standard permanent entry roles for AI-related skills. Evaluate each offer on its actual scope, pay, and stated conversion path rather than the “contract” label alone.

What skills should I prioritise if I only have time for one or two? Based on what employers report screening for most, AI/ML familiarity and demonstrated problem-solving (backed by real projects, not just coursework) are the two with the broadest current demand. Cloud and cybersecurity follow closely if your interest area fits either.

Is IT services hiring actually shrinking? Traditional IT-services fresher hiring is down slightly year-on-year, but AI-specific hiring within the same IT sector is growing strongly enough that overall tech-adjacent fresher hiring is still expanding. The mix is changing more than the total is shrinking.

Rohit

Engineering graduate and founder of FreshersJob4U. I write detailed job guides, interview prep resources, and career roadmaps for freshers and early-career professionals in India. This site started from my own experience with the scattered, confusing fresher job search — I wanted to build something cleaner.