Degrees No Longer Enough? Universities Turn to AI Tie-Ups and ‘Readiness Scores’ to Fix India’s Employability Crisis

India’s higher education system is undergoing a quiet but consequential shift. Faced with declining graduate employability and the rapid rise of artificial intelligence in the workplace, universities are now partnering with edtech platforms and adopting AI benchmarking systems to prepare students for an evolving job market.

At the centre of this transformation are collaborations with platforms like Simplilearn and evaluation frameworks such as ET AI-Ready, which aim to bridge the widening gap between academic learning and industry expectations.

A widening skills gap

Despite producing one of the largest pools of STEM graduates globally, India is struggling with employability. According to the Mercer-Mettl Employability Index 2025, only 42.6% of graduates are job-ready—down from 44.3% in 2023. At the same time, nearly 11.7% of tech job postings now explicitly require AI skills, highlighting a clear mismatch between what students learn and what employers need.

This disconnect has pushed universities to rethink traditional curricula, which have long been criticised for being overly theoretical and slow to adapt.

Classrooms meet industry

Institutions such as Lovely Professional University have integrated AI and machine learning modules—covering deep learning, natural language processing, and supervised learning—directly into degree programmes. These courses are aligned with accreditation standards while embedding practical, industry-relevant skills.

Similarly, colleges like K Ramakrishnan College of Technology (KRCT) and Nitte Meenakshi Institute of Technology (NMIT) have scaled up edtech partnerships, delivering tens of thousands of live class hours, hands-on projects, and hundreds of certifications within a short span.

The model is simple but effective: combine expert-led live instruction with real-world projects and AI-powered tools such as mock interviews. The goal is not just to teach concepts, but to make students “job-ready” from day one.

AI as a measurable skill

Beyond training, institutions are now being evaluated on how well they integrate AI into their ecosystem. Frameworks like ET AI-Ready provide a structured scorecard, assessing curriculum design, faculty adoption, and infrastructure.

This creates a new benchmark in higher education—where AI capability is not just taught, but measured. For students, such certifications signal tangible skills to employers. For universities, they offer a roadmap to upgrade without overhauling entire systems.

A shift in career thinking

The changes are also reshaping how students approach careers. Experts increasingly stress adaptability over linear career paths. In an AI-driven economy, professionals are expected to continuously upskill, switch domains, and integrate technology into their work.

For instance, commerce students are now being advised to explore hybrid paths—combining traditional options like chartered accountancy with emerging fields such as actuarial science, financial analytics, and global certifications.

The road ahead

These university-edtech tie-ups signal a broader evolution in India’s education model—from degree-centric to skill-centric learning. Backed by policy incentives and industry collaboration, the focus is shifting towards outcomes rather than credentials.

However, challenges remain. Ensuring access to such programmes across smaller institutions, maintaining quality, and avoiding over-reliance on certifications will be key to long-term success.

Still, one thing is clear: in an age where AI is redefining every sector, the value of a degree alone is no longer enough. What matters now is whether graduates can adapt, apply, and keep learning—long after they leave the classroom.