I have sat through more hiring discussions than I can count, in BFSI boardrooms, logistics companies, quick-commerce startups, and now increasingly in tech. And every time, the conversation follows the same path. Someone talks about the talent shortage. Someone else brings up attrition costs. A new tool gets mentioned. The deck moves on. Nothing changes.
I used to think the problem was a lack of urgency. I don’t believe that anymore. The people in those rooms care deeply. The problem is that nobody wants to say the uncomfortable thing out loud: the hiring system we rely on was not built to find the best people. It was built to find the most familiar ones.
We built evaluation systems that measure access and not ability. Then we wondered why the talent pipeline felt thin.
The System Was Built for Someone Else
Think about what India’s standard tech hiring process actually requires from a candidate. A degree from a known college. Comfortable written English. A stable internet connection. A smartphone. And enough experience with online forms to build a PDF resume that doesn’t get rejected by a keyword scanner before any human reads it.
That person exists. But that person has never been the majority of talented people available to this industry.
India produces around 1.5 million engineering graduates every year. Only a small fraction come from colleges that hiring teams at top tech companies will look at without hesitation. Everyone else gets filtered out before a single conversation happens.
What 20 Million Conversations Taught Me
At Hunar.AI, we have had over 20 million candidate conversations. Thirty million minutes of real people talking about what they know, what they can do, and what they want from their careers. Across BFSI, retail, logistics, healthcare, and now technology companies trying to solve exactly this problem.
The gap in India’s talent pipeline is not about skills. It is about visibility.
I have seen candidates completely freeze on a standard screening form confused by the interface, running out of time, clicking the wrong thing. And then, in a twelve-minute voice conversation in their own language, show sharper thinking than most candidates who sailed through the formal test. The form was not testing their ability. It was testing how well they knew forms.
We have spent years building systems that reward familiarity with systems and we have called the result a talent shortage.
India’s tech sector doesn’t have a talent shortage. It has a recognition shortage. The talent is there but we built filters that make it invisible.
The Pedigree Problem Nobody Talks About
The roles that actually drive revenue in most tech companies, customer success, implementation, QA, technical sales, data operations, are filled with people who learned the job by doing it. Applying a pedigree filter to these roles does not produce better hires. It just makes the search harder and the outcomes no more predictable.
The alternative is hiring for potential, a more accurate one which means measuring things like how someone reasons through a problem they haven’t seen before, how curious they are about the domain, how they explain something under pressure. These are things you can only see when you actually talk to someone.
The Question Every HR Leader Should Ask
Most conversations about hiring technology start with: how do we screen faster? That question hides a dangerous assumption, that the current process is right and just needs to go quicker. It doesn’t. Screening faster through the wrong filter just gets you the wrong people faster.
The better question is: if we built this from scratch today, and we designed it around the candidate’s experience rather than our convenience, what would it look like?
My answer is every applicant gets a real conversation and a real response. The employer brand actually reflects what it feels like to apply to our company and not just what it feels like to work there once you’ve made it through. The gap between what we say we believe about talent and how we actually behave during hiring is finally closed.
Most companies build beautiful candidate experience decks and then make people apply through portals that break on a mobile phone. That gap between what organisations say and what they do is, in my experience, the most neglected problem in HR today.
Where We Are Heading by 2030
Hiring will get dramatically faster. Not 20 or 30 percent faster, structurally faster. Organisations we work with have cut hiring timelines by 75% by redesigning the first-stage evaluation. By 2030, a mid-level tech hire that takes six weeks will signal institutional slowness the way a week-long email reply does today.
Onboarding will become a relationship, not a checklist. The reason so many new joiners go quiet in their first 90 days is simple: no one was paying close attention. We have seen a 15% lift in first-month productivity when onboarding is personalised and continuous. In a sector where full ramp takes three to six months, that is a real edge.
The language gap will finally get addressed. Real working life in Bengaluru or Hyderabad runs on a mix of English and at least one regional language. Any system that can’t handle that is quietly leaving out a large part of the workforce it’s supposed to serve.
By 2030, I want the conversation about talent in India’s tech sector to be genuinely different. Not just faster or more automated. More honest. Built around who India’s workforce actually is, not a comfortable assumption about who it should be.
India does not have a talent problem. We have a listening problem.
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