India··5 min read

What Global Employers Get Wrong About Indian Talent

The credential read and the capability read are two separate exercises. After five years of placing Indian executives in global roles, I know which one most hiring processes skip.

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Manas Majhi
Manas Majhi

Founder, Majhi Group & Majhi OS

What Global Employers Get Wrong About Indian Talent

The assumption I encounter most often from Western hiring managers about Indian candidates is that strong credentials equal strong fit. The credential is real, the IIT degree, the MBA, the years at a recognisable firm. What it doesn't tell you is context: whether this person built something or maintained it, whether they led in ambiguity or in structure, whether the organisation they came from was the environment that produced their capability or merely the place where they collected it. I have placed enough Indian executives in global roles to know that the credential read and the capability read are two separate exercises. Most global hiring processes run only the first one.

Here is what gets missed.

The credential filter is calibrated for the wrong market

Global companies hiring Indian talent often apply credential filters that were built for Western talent pools and imported without adjustment. Target universities. Brand-name employers. Specific title progressions that reflect how careers develop in the US or UK.

Indian career trajectories don't always follow those patterns. The most capable operators I have placed have often worked in environments where the brand name is less important than what they were actually required to do. Running operations for a mid-size Indian conglomerate with limited resources across multiple geographies, navigating regulatory environments that shift without notice, building teams in cities where the talent pool is thin, these experiences produce capability that doesn't appear impressive in a filter designed to find Goldman alumni.

The filter isn't wrong for what it was built to do. It is wrong when applied to a talent pool it wasn't calibrated for. The result is that global employers systematically undervalue Indian executives who have done harder things in less forgiving environments, while overvaluing those whose resume matches the template.

88% of employers believe they lose qualified, high-skilled candidates through ATS filtering - not because of capability gaps, but because the resume didn't match the expected keywords. The problem is amplified when the filter was calibrated for a different talent market entirely.

Ambiguity tolerance is higher than it appears

One of the consistent observations I have made across the Indian executives I have worked with: they are often more comfortable with structural ambiguity than Western counterparts at equivalent seniority levels.

This is not a personality trait. It is an adaptation. Operating in India, in regulatory environments that change, in markets where data is incomplete, in organisations where the formal structure and the actual decision-making structure are often different things, develops a specific kind of operational flexibility. You learn to make decisions without the clean inputs that more structured environments provide.

Global employers often misread this as informality or lack of rigour. It is neither. It is a different set of operating capabilities, adapted to a different environment. When the global company faces a market or situation with incomplete information and moving targets, which is most interesting strategic situations, this capability is exactly what is needed. The misreading costs them the hire.

AI hiring tools make the bias systematic

The problem is not limited to human evaluators. Research published on arXiv found that Indian transcripts received significantly lower scores than UK transcripts in AI-based hiring evaluations, even after anonymisation of identity-related content. The findings held across two popular large language models. LLMs favour Western linguistic patterns, creating systematic disadvantages for non-Western candidates that scale with every AI-assisted screening process.

As global companies adopt AI hiring tools, a bias that was previously inconsistent becomes consistent, embedded in the scoring system rather than dependent on individual evaluator awareness.

Communication style is mistaken for capability

There are real differences in how senior professionals communicate across cultures, and some of those differences get misread in evaluation processes as signals about capability rather than signals about style.

Directness norms differ. The tendency to hedge, to build to a conclusion rather than lead with it, to frame disagreement indirectly, these are communication patterns, not capability patterns. In some global hiring processes, especially at the C-suite level, candidates who communicate in ways that don't match the committee's baseline are penalised in ways that are never articulated as communication feedback because the committee doesn't recognise it as a cultural variable. They just find the candidate "not quite right."

I have watched strong candidates lose searches to this dynamic. The committee's feedback was invariably vague, not the right presence, something about confidence, hard to pin down. What they were usually responding to was a communication style that didn't match their implicit template for what a senior leader sounds like. The underlying capability was not being evaluated at all.

The returnee population is the most underutilised asset

The most consistently undervalued category of Indian executive talent is the returnee: Indian professionals who spent eight to fifteen years in the US, UK, or Singapore, reached VP or senior director level, and have returned to India, whether for family reasons, for the opportunity, or because they see what is being built here and want to be part of it.

This population combines global operating standards, international network, and deep India context in a way that is genuinely rare. They know how Western organisations work from the inside. They know the India market from growing up in it. They have made the choice, consciously, to be here.

Global companies hiring for India leadership roles or for roles requiring a bridge between India operations and global headquarters should be targeting this population specifically. Most are not. The sourcing channels are not set up for it, the search firms don't prioritise it, and the candidates themselves are not always visible in the standard channels because they are still rebuilding their local professional networks after returning.

What a better process looks like

The global employers who consistently get good outcomes from Indian talent searches have a few things in common. They brief the role in terms of context, not credentials, what environment is this person walking into, what specifically needs to be built or fixed, what does success look like in eighteen months. They run reference conversations that probe specifically for how the candidate operates in conditions of ambiguity and resource constraint. And they treat communication style as something to understand rather than something to evaluate.

The talent pool is deep. The matching process is where most of the value is lost, and most of the opportunity sits.

Running operations for a mid-size Indian conglomerate with limited resources across multiple geographies, navigating regulatory environments that shift without notice, building teams where the talent pool is thin - these experiences produce capability that doesn't appear impressive in a filter designed to find Goldman alumni.


See also: Why Global Companies Should Hire From India, What Five Years of Placing C-Suite Leaders Taught Me About Talent, Intelligence Hiring System™


Sources

arXiv: Invisible Filters: Cultural Bias in AI Hiring Systems

Select Software Reviews: Applicant Tracking System Statistics

Frequently Asked Questions

Why do global credential filters miss top Indian talent?

Global hiring filters are calibrated for Western talent pools, target universities, brand-name employers, specific title progressions. Indian career trajectories often involve harder environments with fewer resources. The filter systematically undervalues executives who have done more in less forgiving conditions.

Does AI hiring technology treat Indian candidates fairly?

Research published on arXiv found that Indian transcripts received significantly lower scores than UK transcripts in AI-based hiring evaluations, even after anonymisation. LLMs favour Western linguistic patterns, creating systematic disadvantages for non-Western candidates.

Who is the most underutilised Indian executive talent pool?

The returnee population, Indian professionals who spent 8-15 years in the US, UK, or Singapore, reached VP or senior director level, and have returned to India. They combine global operating standards, international networks, and deep India context. Most global companies are not sourcing this population deliberately.

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