AI Skills Reshape Campus Salaries as IT Firms Raise the Bar

The annual campus placement season across Indian engineering colleges is undergoing a dramatic shift. Where the benchmark offer once sat in the ₹3–4 lakh per annum range, early trends for 2026 show a decisive move towards packages of ₹7–12 lakh, propelled by a surge in demand for graduates with skills in artificial intelligence, cloud computing and digital operations.

Placement officers at major institutions in Chennai and Hyderabad report a distinct change. At Rajalakshmi Engineering College, nearly 65% of the offers from Tata Consultancy Services (TCS) were at its Digital and Prime levels, which carry the higher pay bands. Gokaraju Rangaraju Institute of Engineering and Technology (GRIET) says the old low-end coding job is being phased out entirely, replaced by positions around ₹9–10 lakh. Chaitanya Bharathi Institute of Technology and Hindustan Institute of Technology and Science likewise cite a rise in offers for students who possess demonstrable AI and digital capabilities.

The hiring momentum itself has picked up after a subdued 2025. Bulk recruiters started their processes earlier than usual – some as early as May – with Rajalakshmi completing half its placements by July. Industry-wide, top-tier IT services firms have outlined plans to onboard 20,000–25,000 fresh graduates each, reversing the caution of the previous two years.

The New Landscape for Fresher Hiring and Skill Demands

Why IT Service Giants Are Ramping Up Fresher Hiring Now

The aggressive recruitment cycle reflects improving visibility. After a prolonged period of uncertainty, large organisations like TCS, Infosys and Cognizant have greater confidence in their revenue pipelines and client acquisition, enabling them to commit to large fresher cohorts. Shantanu Rooj, CEO of TeamLease EdTech, points out that employers are no longer hiring for generic capacity but specifically for capabilities in digital operations, automation, analytics, cloud and AI – a departure from the past where a broad engineering degree often sufficed.

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The Decline of the ₹3–4 Lakh Package

The disappearance of the lowest salary band is not incidental; it is the direct consequence of automation. AI now handles the bulk of code generation and routine testing, exactly the tasks that used to justify a large, low-cost fresher workforce. Placement heads confirm that these jobs are not merely being deferred – they are being eliminated. The requirement now is for “smart” freshers who can augment AI tools, understand business logic and contribute to complex project work from day one.

What This Means for Engineering Education

Colleges are under pressure to overhaul curricula. The old model that produced graduates for a handful of mass recruiters at a standardised pay grade is no longer viable. Institutions that adapt by embedding AI, cloud certifications and analytics into their programmes will dominate the new placement bands. Those that do not risk seeing their students miss out on the higher-tier offers and remain stuck in an increasingly narrow middle.

How Graduates and Colleges Can Position for the Shift

For students and colleges, the message is clear:

  • Graduates should focus on building demonstrable skills in AI, automation, cloud platforms and data analytics – because roughly two-thirds of TCS offers are now reserved for the Digital and Prime tracks where these competencies are essential.
  • Colleges can cement their placement records by integrating industry-relevant certifications and project work. GRIET and HITS both attribute their higher average packages to students who could show AI/digital portfolios, not just a degree.
  • Routine coding bootcamps that prepare only for low-end jobs are losing their value. Placement officers explicitly warn that the ₹3–4 lakh offer is vanishing, so any training path that aims at that band is a dead end.
  • Early application is now critical. With recruiters starting as early as May, engineering institutions that open placement cells sooner and prepare students ahead of the traditional July–August window will secure the highest share of premium offers.

Risk & Opportunity Assessment

Commercial RiskMediumIT service firms that built models around cheap, generic fresher labour face margin pressure if they cannot rapidly reskill or replace that cohort with AI-capable hires. However, majors like TCS are already shifting their offer mix, which cushions immediate commercial risk.
Competitive RiskHighA talent bifurcation is under way. Companies that fail to attract the ₹7–12 lakh AI-skilled graduates will struggle on digital transformation projects, ceding ground to rivals who are already hiring aggressively at those premium bands.
Regulatory RiskLowNo immediate regulatory change is implied; the shift is driven by market demand and technology, not policy mandates.
Reputation RiskLowFor colleges, a failure to adapt could damage placement statistics over time, but no single institution faces an immediate reputational crisis from this trend.
Technology DisruptionTransformationalAI is not just adding a new skill requirement – it is erasing the entire entry-level coding job category. This fundamentally rewrites job descriptions and salary bands for fresh graduates in the IT sector.
Commercial OpportunityHighIT firms can lock in a generation of fresh talent at a 7–12 lakh cost that is still below lateral hire expense, while colleges that align quickly can claim premium placement records and attract higher student demand.