SGT University’s Employability Summit 2026: Rethinking Graduate Readiness Beyond Academics 

The conversation around graduate employability has been ongoing for years. What has changed is the context. As artificial intelligence compresses roles and accelerates decision-making, the distance between academic preparation and workplace readiness is no longer a future concern. It is a present one.

Degrees are being earned in record numbers. Certifications are multiplying. Yet organisations across sectors continue to report widening gaps between academic preparedness and workplace effectiveness.

It was this disconnect between what is taught, what is assessed, and what is ultimately required that framed the conversations at the Employability Summit 2026, hosted by SGT University under the theme “Beyond Academics: Employability Reimagined for Tomorrow.”

Held on January 15 at the university’s Gurugram campus, the summit brought together senior leaders from technology, professional services, manufacturing, consumer businesses, education, and human resources. Rather than positioning employability as a placement-season outcome, the discussions treated it as a long-term capability challenge, shaped as much by mindset and judgment as by skills and tools.

The summit featured voices from across technology, professional services, manufacturing, education, and human resources, including Navneet Varshney, CTO at Jio Platforms; Vibhor Sharma, CEO of StrongYes Media; Ashish Saran, Regional HR Head at Sony; Sheetal Jerath Sharma, AD People & Culture at Grant Thornton; Dr Nikita Pandit, Founder of IP Innovative; Aseem Midda, Managing Director of NS3 Technologies; Amit Chaudhary, Director at Cache Digitech; Ashu Sharma, AVP Corporate HR at RSWM Limited; Devinder Sharma, VP & Head HR at Parijat Industries; Sugato Palit, Managing Director at Absolute Spark; Shayantani Shan, ED Talent at Judge India Solutions; Nitin Mishra, Head of Talent Acquisition at Cushman & Wakefield; Arnab Kumar, Senior Vice President and Head HR at Ceasefire Industries; Mohd Mohsin, Founder of HR Catalyst Circle; Varun Goel, University Relations Leader at Nokia; Simin Askari, Senior VP HR & Business Excellence at D S Group; and Kush Khurana, Head of AI & Machine Learning at Adda Education, among others.

StrongYes Media was the industry-academia partner for the summit. Institutional leadership from SGT University was anchored by Monika Kaul, Head of Placements, with Prof. Dr. James of SGT University closing the event by felicitating the speakers and presenting mementos, reinforcing the institution’s intent to deepen industry–academia collaboration. 

A University Framing Employability as an Institutional Responsibility

For SGT University, the summit was part of a broader effort to reframe how employability is approached within higher education. With A+ NAAC accreditation and approvals from UGC and AICTE, the university has steadily expanded its engineering and technology offerings across Computer Science, Artificial Intelligence and Machine Learning, Data Science, Cybersecurity, and emerging technologies. More significantly, it has sought to integrate industry exposure, applied learning, and real-world problem-solving into the academic experience rather than treating employability as a final-year add-on.

“Employability is not something that can be fixed in the last semester,” said Monika Kaul, Head of Placements at SGT University. “It has to be built across years, through exposure, behaviour, and the ability to work with uncertainty.”

That perspective shaped the tone of the summit. The discussions were not framed as motivational talks or recruitment showcases, but as working conversations between employers and educators about what is breaking, what is changing, and what needs to be rebuilt.

When Skills Are No Longer the Differentiator

The opening sessions returned repeatedly to a core question: if technical skills are widely accessible and AI tools increasingly level the playing field, what actually differentiates one graduate from another?

Across industries, leaders pointed to a shift away from narrow skill checklists toward broader capabilities, application of knowledge, clarity of thinking, collaboration, and the ability to learn continuously. Several speakers reflected on their own careers, noting that these qualities were often acquired late, through trial, error, and workplace exposure rather than formal education.

There was also acknowledgment that today’s students are entering a more complex environment. Roles are evolving faster. Career paths are less linear. Expectations from employers are higher, even as the shelf life of specific skills shortens.

Leaders from manufacturing, technology, and professional services agreed that graduates who succeed early are often those who can navigate ambiguity, who ask better questions, listen actively, and adapt their approach rather than wait for instructions.

Hiring in 2026: Where Candidates Fall Through the Cracks

As the conversation shifted from skills to hiring outcomes, the tone became more candid. While AI-powered screening tools and assessments are now common, several leaders stressed that the most frequent reasons candidates are filtered out remain basic and human.

Offering a data-backed perspective from large-scale campus hiring, Hardeep Singh, part of the campus relations team at HCL, shared a reality that drew visible reaction from the audience. “Nearly 45 to 48 percent of candidates fail before they even reach technical rounds because they struggle to articulate their work clearly,” he said.

The problem, Singh explained, is not language proficiency or confidence. It is the inability to explain what one has worked on, how challenges were approached, and what outcomes were achieved. In a hiring environment where employers increasingly prioritise skills and application, communication has become a critical gateway rather than a supplementary ability.

Several leaders echoed this observation, noting that candidates often assume technical competence will compensate for weak articulation. In practice, the opposite is increasingly true: without clarity of thought, technical ability rarely gets evaluated.

From Credentials to Proof of Capability

Another theme that surfaced repeatedly was the declining standalone value of certifications. While additional learning is encouraged, leaders cautioned against confusing accumulation with mastery.

Across discussions, employers stressed the importance of proof of work, projects that demonstrate ownership, iteration, and learning from failure. A completed course mattered less than evidence of how knowledge was applied to solve a real problem.

Speakers from technology and education backgrounds pointed out that AI tools have made learning faster and more accessible, but they have also raised expectations. Simply completing tasks is no longer enough; what matters is the ability to explain decisions, reflect on outcomes, and adapt based on feedback.

There was a strong consensus that students who begin to see themselves as professionals, taking responsibility for outcomes rather than just tasks, tend to transition more smoothly into the workplace.

Strategic Thinking Without the Jargon

When discussions turned to strategic thinking, leaders were quick to demystify the term. Strategy, they argued, is not about frameworks or corporate language, particularly at the entry level. It is about thinking one step ahead.

This might involve anticipating questions, identifying risks, or providing context beyond what is asked. Leaders across sectors noted that such behaviours are often what distinguish high-potential candidates early on.

Speaking from a professional services perspective, Sheetal Jerath Sharma, AD People & Culture at Grant Thornton, pointed to a recurring pattern among early-career hires. “There is sometimes an assumption that once someone is hired at a certain package, some tasks are beneath them,” she said. “That mindset erodes trust very early.”

AI Everywhere, but Not Everywhere It Belongs

Artificial intelligence was a constant undercurrent throughout the summit. No longer discussed as a future trend, AI was treated as an everyday reality reshaping engineering, operations, HR, and learning.

Framing this shift, Simin Askari, Senior Vice President HR & Business Excellence at D S Group, articulated a clear distinction between education and employability. “Degrees are no longer enough. Employability is the goal,” she said. “Students must be one step ahead using AI tools to improve efficiency, validate thinking, and enhance output. AI should be a co-pilot, not a substitute for human judgment.”

Her remarks captured a broader consensus: AI is most effective when it augments human capability rather than replaces it. Leaders cautioned against blind dependence on tools, particularly in areas involving people, ethics, and judgment.

AI is not emotionally intelligent. Using it to decode emotions or workplace dynamics can lead to misleading inputs.

The discussion also highlighted emerging opportunities in AI governance, with leaders pointing out that organisations will increasingly need professionals who understand not just how to deploy AI, but how to manage its risks, compliance, and ethical implications.

Culture, Behaviour, and the Human Differentiator

As the day progressed, the focus shifted from tools and technical skills to workplace behaviour, an area many leaders described as the most underestimated dimension of employability. 

Speakers emphasised that employability is as much about ownership as ability. Following through on commitments, approaching routine work with diligence, and demonstrating accountability often matter more than raw intelligence in building credibility at the workplace. Other speakers reinforced the importance of humility, adaptability, and a willingness to learn, qualities that become even more critical as AI reduces the value of performative cleverness. Curiosity, several observed, is increasingly difficult to fake and therefore more valuable.

Closely linked to this was the idea of executive presence, not performance or assertiveness, but the ability to engage thoughtfully, listen well, and respond with composure in uncertain situations. Several speakers noted that these qualities often become visible within the first few interactions, long before formal assessments.

Building Careers, Not Just Securing Jobs

Another strong thread running through the summit was the idea that employability extends beyond securing the first role. Leaders urged students to rethink networking as relationship-building rather than transactional outreach.

Varun Goel, University Relations Leader at Nokia, highlighted how early interactions often shape future opportunities. “Students underestimate how visibility compounds over time,” he said. “How you engage during an internship or a campus interaction can influence opportunities much later. Think beyond immediate placements and focus on building relationships.”

Panelists encouraged students to personalise follow-ups, engage thoughtfully with industry professionals, and treat internships as learning platforms rather than résumé checkpoints.

Academia’s Expanding Mandate

Throughout the summit, SGT University’s leadership reiterated that employability cannot be outsourced to recruiters alone. Institutions must integrate behavioural readiness, applied learning, and industry exposure into the academic journey itself.

Closing the summit, Prof. Dr. James of SGT University emphasised the importance of continuous recalibration. Academic institutions, he noted, must listen closely to industry signals while retaining their role in shaping critical thinking and ethical clarity. The presentation of mementos to industry participants symbolised the university’s commitment to sustained collaboration rather than episodic engagement.

How It Landed with Students

The summit’s most revealing moments may have happened not on stage, but in the conversations that followed. Students in attendance acknowledged that the discussions reflected their own experience of recent hiring processes with uncomfortable accuracy. Several admitted they had approached summer internship interviews assuming technical preparation would be sufficient, only to struggle when asked to explain their decision-making process or defend their project choices.

“I can use AI to debug code or optimize an algorithm in minutes,” said a third-year Computer Science student. “But when the interviewer asked me why I chose a particular approach over another, I realized I hadn’t actually thought it through I just went with what worked. AI helps us finish tasks faster, but explaining how we arrived at an answer is still on us.”

That gap between execution and explanation came up repeatedly in post-summit discussions.

What the Summit Ultimately Revealed

By the end of the day, a consistent message had emerged across discussions: employability in the AI era is not a checklist. It is a mindset.

Technical fluency must be paired with judgment. AI capability must be balanced with emotional intelligence. Credentials must be supported by proof of application. And ambition must be anchored in ownership and adaptability.

For students, the implications are direct: focus on applied learning, master communication, use AI responsibly, and invest in long-term professional relationships. For institutions, the mandate is equally clear: bridge academia and industry through sustained dialogue, real-world exposure, and curricula designed for evolving careers rather than static roles.

By convening this conversation and grounding it in employer realities rather than abstractions, SGT University positioned itself as an institution engaging seriously with the future of work, beyond academics, and with high intent.