For a long time, cricket in India was seen as a sport for the big cities, shaped by its colonial past. While players from smaller towns began making their mark, the captain’s role remained out of reach. That changed when a calm yet sharp young man from Jharkhand entered the scene. Just four years into the team, he was chosen to lead, something no data model or expert could have predicted. The decision stunned fans and critics, but his impact spoke louder than any forecast. Whether you know him as Mahi, Thala, or simply Dhoni, he remains one of India’s most celebrated captains. If it weren’t for a selector who trusted his potential, and if decisions had been left to data and AI-driven hiring models, we might have waited longer for “Dhoniwood” magic.

Haven’t you, at some time, either been hired for or hired others for potential?

The Future of Work Will Be Built on Potential

According to Ernst and Young’s Future of Jobs, nearly 46 percent of India’s skilled workforce is expected to be in jobs that are either brand new or require a completely different skill set. That means around 270 million people will be working in roles that do not align with their past experience or education. In such a scenario, hiring will shift more towards evaluating potential rather than checking off qualifications or previous roles.

This is not a new trend. Take a look at some of the highest-paying roles today, jobs like digital marketing experts, big data architects, and UX designers. Ten years ago, many of these roles either did not exist or were in their early stages. The professionals who succeeded in these areas were often hired not because they had done the exact same work before, but because they showed the potential to learn and grow into these roles.

So, where does that leave artificial intelligence in hiring? Can technology really spot someone’s potential?

Candidates Are More Than Their CVs

The traditional resume or CV has undergone numerous changes in appearance and format, but its importance in recruitment remains somewhat unclear. Think about it. How often do recruiters actually go back to a CV after the initial screening stage? It is often said that most tech recruiters scan CVs only for an average of 6 seconds before deciding to move forward or not.

In face-to-face interviews, the CV becomes more of a reference sheet than a true guide. Studies, such as one from the American Sociological Association, have shown that hiring decisions are influenced by how similar a candidate is to the interviewer or to the company culture. Common interests, communication styles, and even shared hobbies often play a role. And none of these things can be found in a CV. The truth is, we hire people, not resumes.

How AI is Changing the Hiring Process

The debate about whether hiring is a science or an art has been around for a long time. But it feels more relevant now, especially with AI becoming a bigger part of the recruitment process. Today, CVs can be turned into infographics, candidates build their personal brands on social media, and new technologies like blockchain are being used to verify career claims. All of this has created a rich pool of data that machines can read and analyze.

With so much data available, it might seem like ranking candidates and picking the best ones should be easy. AI is designed to learn from previous hiring decisions and use those patterns to make similar choices in the future. A simple example is when you start typing names in Excel and the software begins to guess and fill in the rest based on your first few entries. That is machine learning in action.

It all sounds very promising, which is why some reports suggest AI could take over as much as 16 percent of HR roles in the near future. But the big question remains. Just because AI can repeat past choices, does that mean it can truly handle hiring on its own?

The Limits of Copying Past Patterns

The core idea behind AI is to learn from historical data. If you give it enough information about hiring decisions, it should be able to spot patterns. It can then apply those patterns to new candidates. But here is the catch. Just because something worked in the past does not mean it will work the same way again. More importantly, many past hiring decisions were based on human instincts, gut feelings, and specific contexts. These factors are not easy to turn into data.

AI can definitely help with repetitive tasks and improve efficiency. But if its only contribution is to speed up the more obvious parts of hiring, then it is not truly changing the game. Human Resources has already gone through many rounds of automation over the years. AI needs to go beyond just doing the basics a little faster.

The Real Challenge Is in Recognizing Potential

One of the most difficult aspects of hiring is identifying the untapped potential of a candidate. This is not something that can be measured or seen on paper. It involves understanding the culture of the organization, the kind of manager the candidate will work with, the stage of the company’s growth, and so much more.

AI fans argue that the technology will eliminate bias. But in this case, the bias we are talking about, like a recruiter’s instinct or their ability to spot potential, is actually a strength, not a flaw. It is this very human ability that has brought some of the best professionals into their current roles.

Lists and articles often talk about how AI will change hiring or recruitment. While many of those predictions are interesting, most ignore a simple fact. Hiring decisions are still driven largely by how a person might grow within a role or company. AI does not yet have the tools to evaluate that. Potential is based on variables that change from one company to another, and turning all of those into machine-readable formats would be nearly impossible.

Artificial ‘Intuition’?

Good recruiters and hiring managers are often proud of the instincts they have developed over the years of experience. That gut feeling when meeting a candidate, that quiet confidence that tells you this person will work well with the team, is something no machine can replicate.

Trying to make AI assess whether a candidate will click with a team or align with a company’s future vision is a tough ask. Any such effort will only be a simulation at best. It might be artificial, but it will not be authentic.

So yes, AI is growing and improving every day. It will continue to play a major role in recruitment, especially in making the process faster and more organized. But let’s not turn it into a one-size-fits-all solution for every challenge in HR.

Now ask yourself this. Would AI, with all its data models and historical trends, have picked Dhoni as captain?