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Category: Recruitment and jobs and Talent

Tier 2 Cities and GCCs Are Quietly Rewriting India’s Tech Salary Map

Posted on by peoplestaffing

Beyond Bengaluru: Why India’s Real Tech Salary Map Has Already Changed

Meta description: Tier-2 cities and Global Capability Centers are quietly rewriting India’s tech salary benchmarks. Here’s what CTOs and hiring teams need to know before their next hiring plan.

Most hiring plans still start with the same assumption: tech talent lives in Bengaluru, Hyderabad, and Pune, and everything else is a regional afterthought. That assumption is now costing companies money and speed — because two separate shifts have quietly rewritten where genuine tech capability actually sits in India, and what it costs to access it.

  • Tier-2 cities went from 8% to 18% of new tech job creation between 2020 and 2025, at salary benchmarks meaningfully below metro rates
  • Cities like Indore, Coimbatore, Nagpur, Kochi, and Chandigarh now carry genuine mid-level tech capability, with lower attrition than metros
  • Global Capability Centers have crossed 1,580 in number with a combined workforce nearing 1.9 million, and are resetting compensation benchmarks market-wide
  • The catch: tier-2 markets are strong at mid-level, but senior leadership usually has to be attracted in, not found locally
Map of India with orange location markers across multiple cities next to a rising orange bar chart, illustrating the shift in India's tech salary landscape beyond Bengaluru
Bengaluru isn’t the only benchmark anymore. India’s tech salary map has already shifted.

The Tier-2 Shift Is Real, Not a Trend Piece

Cities like Indore, Bhubaneswar, Nagpur, Kolkata, Coimbatore, Pune, Ahmedabad, Jaipur, Kochi, Chandigarh, and Thiruvananthapuram now carry genuine technology capability — not just support functions — at salary benchmarks meaningfully below Bengaluru, and with noticeably lower attrition.

The scale of the shift is the part most hiring teams haven’t priced in. Tier-2 cities accounted for roughly 8% of new tech job creation in 2020. By 2025, that number had climbed to around 18% — and the trajectory is accelerating, not plateauing. Hybrid and remote work norms made this geographic spread operationally viable; cost pressure made it strategically attractive. What started as a pandemic-era experiment has become a mainstream hiring strategy for second-site engineering and shared-services teams.

Illustration of connected city skylines with glowing pathways and human figures converging toward them, with text reading Tier 2 shift is real, not a trend piece
Tier 2 tech hiring isn’t a pandemic era experiment anymore. It’s a sustained structural shift.

The Honest Catch Most Pitches Leave Out

It would be easy to stop there and call tier-2 hiring a straightforward win. It isn’t quite that simple, and pretending otherwise is how hiring plans go wrong six months in.

Tier-2 markets have real depth at the mid-level — engineers with two to seven years of experience who are strong, stable, and considerably less likely to job-hop than their metro counterparts. What these markets don’t yet have is deep senior leadership bench strength. A tier-2 hiring strategy that assumes it can staff an entire engineering leadership layer locally usually stalls. The more realistic approach is building mid-level capacity locally while attracting senior leadership in — either by relocating experienced leaders or running the team under remote senior oversight from a metro base.

The GCC Effect: A Second Force Resetting the Same Market

At the same time, a second and largely separate shift is putting upward pressure on the exact same talent pool: the rapid expansion of Global Capability Centers.

India now hosts over 1,580 GCCs, with a combined workforce approaching 1.9 million professionals — and roughly 50 new centers opening every year. These are no longer the back-office, cost-arbitrage operations they were a decade ago. Today’s GCCs function as genuine innovation hubs, competing directly with India’s best-funded startups and product companies for the same senior and specialized talent.

That competition has consequences well beyond the companies directly hiring for GCC roles. When a handful of major GCCs in a city start paying product-company-level compensation for senior engineering and AI talent, the entire local salary band shifts upward — including for companies that have nothing to do with GCCs at all. For many hiring teams, this is the real, unnamed reason a role that used to fill easily has suddenly gotten harder and more expensive, without any obvious change in their own hiring process.

Translucent glass sphere containing a glowing city skyline with a location pin at its center, representing tier 2 cities as hubs of real savings and real technology capability
Real capability. Real cost savings. Tier 2 cities are no longer a compromise.

What This Means for Your Next Hiring Plan

Put together, these two shifts point to the same practical conclusion: the old mental map of Indian tech salaries — metro-expensive, everywhere-else-cheap — no longer holds cleanly in either direction. Tier-2 cities offer real savings and real capability, but not unlimited depth. GCCs are quietly inflating compensation in cities that look, on paper, like they should still be cost-efficient.

The hiring teams getting this right are treating both forces as inputs into a single decision, not separate line items — benchmarking pay by city and seniority band specifically, rather than applying one national number, and building tier-2 strategies around mid-level capacity with a deliberate plan for senior leadership from day one.

Diagram showing several small city models connected by lines through a central metallic sphere to three large modern buildings, representing Global Capability Centers pulling talent and compensation benchmarks across cities
Global Capability Centers are quietly resetting salary benchmarks, even for companies that never compete with them directly.

The Bottom Line

The real story isn’t “Bengaluru versus everywhere else.” It’s that India’s tech salary map is being pulled in two directions at once — tier-2 cities pulling costs down, GCCs pulling compensation up in the same geographies. Hiring plans built on last year’s assumptions about either force are already out of date.

Frequently Asked Questions

Are tier-2 cities actually cheaper for tech hiring in 2026? Generally yes at the mid-level, though the gap is narrowing in cities where GCCs have established a strong local presence and pushed compensation upward.

Can a company build a full engineering team entirely in a tier-2 city? Mid-level teams, yes. Senior leadership usually still needs to be attracted in rather than sourced locally, at least in the near term.

Why do GCCs affect salaries at companies that don’t compete with them directly? Because compensation benchmarks are set locally, not company by company. A few large employers paying premium rates in a city resets what every employer in that market has to offer to stay competitive.

 

 

 

 

 

 

 

The Real Skills Gap: Why Impossible to Fill Roles Are a Hiring Problem, Not a Talent Problem

Posted on by peoplestaffing
India’s employability rate just hit a five-year high — yet most employers still can’t fill critical roles. Here’s what the data actually says about the skills gap, and how to fix it.

Here’s a contradiction most hiring leaders have felt but rarely seen written down: India’s overall employability rate recently climbed to its highest level in five years, driven by rising digital literacy and a wave of skills-based certification programs. And yet, well over 60% of employers still report serious difficulty filling their most critical roles particularly in emerging technology domains.

Both of those things are true at the same time. That’s not a contradiction in the data. It’s a diagnosis. The problem in 2026 isn’t a shortage of skilled people. It’s a mismatch between the skills the market actually needs and the way most companies are still screening for them.

  • 60 % + of employers can’t fill critical roles despite record-high employability — it’s a screening mismatch, not a shortage
  • Listing tools as “must-haves” filters out capable candidates who learned the skill on a different stack
  • Degree-free postings have grown over a third in two years as skills-based hiring goes mainstream
Spotlight shining on a resume placed on a row of dark desks, with text reading The Real Skills Gap, the problem isn't finding talent, it's recognizing it
The talent exists. Most hiring processes just aren’t built to find it.

The Job Description Is the First Place This Breaks

Walk through almost any technical job description right now and you’ll find the same pattern: a long list of specific tools, frameworks, and libraries, treated as hard requirements rather than useful signals. A role that genuinely needs strong problem-solving in distributed systems gets written as “5+ years in specific framework” and every capable engineer who learned the underlying concept on a different stack gets filtered out before a recruiter ever sees their profile.

This is where “impossible to fill” roles actually come from:

  • Job descriptions over-index on framework names and under-index on the underlying capability the role actually requires
  • This produces long, frustrating searches for candidates who, on paper, don’t seem to exist
  • In practice, they exist — they’re just being screened out by a job description that confused a tool with a skill

Teams that correct this — screening for engineers who have solved comparable problems, rather than those who list a specific library — routinely fill roles in weeks that had been sitting open for months. The underlying skill is transferable far more often than most job specs assume

Funnel diagram showing 1000 engineers narrowed down through keyword screening, framework filters, degree filters, and experience filters to only 18 candidates left, with the role declared impossible to fill
1,000 qualified engineers in. 18 left after keyword filters. The role isn’t impossible, the funnel is broken.

The Bigger Shift: Degrees Are Losing Their Grip

This isn’t just a screening tweak — it’s part of a much larger structural shift. Job postings that don’t require a specific degree have grown by more than a third over the past two years, as employers move from credential-based hiring toward skills-based evaluation.

The logic behind this shift is both principled and practical. Principled, because talent doesn’t correlate neatly with access to premium educational institutions — some of the strongest engineers in the market never went through a traditional pipeline. Practical, because demand for skills in AI, cybersecurity, cloud, and data engineering has outpaced the supply coming out of formal degree programs, forcing employers to look beyond the usual talent pools whether they intended to or not.

Some of the most respected product companies in the country have built world-class engineering teams almost entirely from internal training programs rather than elite-institution pipelines — proof that the “pedigree first” model was never the only path to strong engineering talent. It was just the path most companies defaulted to because it was easier to filter for than to actually assess.

Bridge connecting two cliffs, left side labeled old hiring model with degree, experience, and tool first icons, right side labeled new hiring model with capability, problem solving, and learning agility first icons
From degree first to capability first: the hiring model is evolving.

What This Means in Practice

For CXOs, this reframes a familiar frustration. If a role has been open for months and every hiring update says “the talent just isn’t out there,” the more useful question is whether the job description and screening criteria are actually testing for the capability the role needs or just for familiarity with a specific tool.

For recruiters and hiring managers on the ground, the fix is concrete, not philosophical:

  • Separate must-have skill from nice-to-have tool. A specific framework is rarely the former, even when the job description treats it that way.
  • Screen for demonstrated problem-solving, not keyword density on a resume.
  • Build assessments around real scenarios the role will actually face, not trivia about a specific library’s syntax.
  • Treat degree requirements as a default to question, not a baseline to assume — especially for roles in AI, data, and cloud, where the talent pool has grown faster than traditional credentialing has kept up.
Quadrant chart comparing specific tools like React, Java, and AWS against underlying capabilities like system design, distributed computing, architecture thinking, and customer problem solving, plotted by business value
Tools are easy to learn and replace. Underlying capability is what actually drives business value.

The Bottom Line

The employers hiring successfully right now aren’t the ones with access to a bigger talent pool. They’re the ones who stopped mistaking a tool on a resume for the skill behind it. The skills gap that’s slowing down hiring in 2026 isn’t really a supply problem — it’s a definition problem. Fix how you define the skill you’re actually hiring for, and roles that looked impossible to fill for months start closing in weeks.

We help organizations build high-performing BPO teams—from high-volume fresher hiring to specialized CX leadership roles. If you’re preparing your hiring strategy for 2026, let’s discuss how data-driven recruitment can give your business a competitive edge.

Let’s connect for a Strategic Discussion!

 

 

 

 

 

 

 

BPO Hiring Grew 21% in 2026: Why AI Made the Industry More Human, Not Less

Posted on by peoplestaffing

BPO Hiring Just Grew 21%. The “AI Is Killing This Industry” Story Was Wrong

If you’ve been hearing that AI is quietly gutting the BPO industry, the data says otherwise. BPO and ITES hiring grew 21% year-on-year in early 2026 — one of the fastest-growing sectors in the entire job market, holding double-digit growth for three straight months.

A man and woman shaking hands across a table with a digital human face made of light particles in the background, symbolizing AI and human collaboration
AI supports the process — people still make the connection

The details underneath make it more interesting:

  • Fresher hiring grew 39% YoY — the single largest entry-level surge of any tracked sector. If AI were simply replacing junior roles, this number shouldn’t exist.
  • Senior hiring (10+ years experience) grew 9% YoY — this isn’t a volume story or an entry-level story alone. It’s both, happening together.
  • Foreign multinationals drove over 80% of the increase — this isn’t a domestic recovery. It’s global demand, actively choosing India.
  • Kolkata alone has 200+ active BPO firms serving clients across the US, UK, UAE, Canada, and Australia — for hiring teams on the ground, this isn’t a forecast. It’s already showing up in mandates.
Infographic listing BPO hiring statistics including 39 percent fresher hiring growth, 9 percent senior hiring growth, 80 percent foreign multinational demand, and 200 plus active firms in Kolkata, with a city skyline in the background
Fresher hiring, senior hiring, and global demand are all rising together

AI Didn’t Shrink the BPO Job. It Humanified It.

Here’s the part most narratives get backwards.

  • AI and automation haven’t eliminated the BPO agent — they’ve eliminated the scripted version of that job.
  • Chatbots now handle what never needed a human in the first place: password resets, order status checks, FAQ-level queries.
  • What’s left is everything a script couldn’t cover — the angry customer, the ambiguous complaint, the conversation that needs judgment and patience instead of a flowchart.

That’s the real shift. BPO hiring isn’t becoming more automated — it’s becoming more human. The industry spent two decades hiring people to sound like scripts. It’s now hiring people specifically because they don’t.

That’s exactly why fresher hiring is surging. Companies aren’t hiring fewer people — they’re hiring people for the parts of the job AI genuinely can’t do. The job didn’t disappear. It got more human, and more valuable because of it.

The New Hiring Currency: Human Skills, Not Just Experience

What actually gets someone hired is changing:

  • Experience is losing ground to empathy, adaptability, and AI fluency — traits that don’t show up on a resume the way “3 years BPO experience” does, but matter far more once AI has already handled everything routine.
  • The talent pool is widening — employers are hiring people who’d have been overlooked under the old experience-first model, because the job no longer rewards someone who follows a script well. It rewards someone AI can’t replace.
  • Multilingual support and omnichannel fluency are now the default expectation, not a specialization.
  • The industry is splitting into two tiers — commoditized support work, and high-value, specialized CX work (BFSI, healthcare, technical support) that pays and grows very differently.
Woman sitting at a desk with a chess board, with icons listing human skills like empathy, adaptability, AI fluency, communication, and problem solving, contrasted with a crossed-out resume icon labeled experience
The new hiring currency: empathy, adaptability, and AI fluency over years on a resume

How People Work Is Changing Too

  • Hybrid is now the standard operating model, not a pandemic-era exception — and it’s proving to reduce turnover, not just improve morale.
  • Gig and flexible shift models are expanding, opening the door to caregivers, students, and talent that traditional fixed-shift roles used to exclude entirely.
  • Retention is now a tracked KPI, not an accepted cost of doing business.

What This Means for Us

This is a hiring market rewarding precision, not headcount — and that’s exactly where the opportunity sits for us.

Glowing doorway with heart, scale, and people icons at the center of a white maze, symbolizing human connection as the future of the BPO industry
AI clears the path — but human judgment is what leads the way

Three things worth acting on:

  • Lead with the real story, not the fear narrative. Clients evaluating BPO partners are still operating on the outdated assumption that AI is shrinking this industry. We should be the ones correcting that — with data, not reassurance.
  • Build dual-track sourcing strength. The market needs strong fresher pipelines and senior specialist hiring simultaneously. Most competitors are still built for one or the other.
  • Treat retention and wellbeing as a service line, not a footnote. As turnover becomes a tracked KPI for clients, our ability to advise on retention — not just fill roles — becomes a genuine differentiator.

The BPO industry isn’t fading — it’s getting more human. AI took the scripts. It left the parts of the job that were always the hardest to automate in the first place: judgment, empathy, and the ability to make someone feel heard. The firms that understand that shift first will own the best mandates in 2026.

We help organizations build high-performing BPO teams—from high-volume fresher hiring to specialized CX leadership roles. If you’re preparing your hiring strategy for 2026, let’s discuss how data-driven recruitment can give your business a competitive edge.

Let’s connect for a Strategic Discussion!

Your 3% Hiring Growth Number Is Hiding a Talent Crisis

Posted on by peoplestaffing

The Headline Number Is Lying to You: What’s Really Happening in India’s 2026 IT Hiring Market

Iceberg illustrating hidden depth beneath India's 2026 IT hiring headline growth number

If you’ve seen the topline figure — India’s IT hiring growing a modest 3% year-on-year — you might assume 2026 is a cautious, business-as-usual year for tech talent. That number is technically true and strategically misleading.

Beneath that modest headline, hiring has quietly split in two. AI, cloud, and cybersecurity roles now make up nearly two-thirds of all tech hiring demand. AI-first roles alone account for almost a third of new demand. At the same time, legacy roles — QA, IT support, routine testing — are shrinking as automation absorbs the work.

Companies aren’t hiring less. They’re hiring for a completely different skill set, at a completely different pace, than they were even 18 months ago.

Donut chart showing 90 percent of GenAI-ready tech talent gap in India for 2026
The GenAI talent gap is a cliff, not a gap — 9 in 10 roles can’t be filled today.

The Three Shifts Separating Winners From the Ones Who’ll Find Out Later

  1. The Back Office Just Became the Front Line Global Capability Centres now account for nearly 44% of India’s IT hiring, up sharply from last year, and they’re increasingly hiring for senior, specialized, global-facing roles — not support functions. If GCCs aren’t central to your talent strategy, you’re competing for a shrinking share of the best talent.
  2. The Skill Gap Isn’t a Gap Anymore. It’s a Cliff. Talent ready for generative AI work is in such short supply that roughly 9 in 10 qualified candidates simply don’t exist yet. Cloud and cybersecurity gaps aren’t far behind. This isn’t a recruiting inconvenience — it’s a constraint on how fast any strategy can actually execute.
  3. Your Company Is Hiring and Shrinking at the Same Time — And That’s the Point While companies aggressively hire for AI and cloud talent, they’re simultaneously trimming legacy roles automation has made redundant — sometimes in the same quarter, inside the same organization. Hundreds of thousands of mid-career roles are expected to be restructured industry-wide by 2028. Businesses that treat hiring and restructuring as separate processes will fall behind the ones treating it as one continuous rebalancing act.
Chart showing companies simultaneously hiring AI and cloud talent while restructuring 400000 to 500000 legacy roles by 2028
The same-quarter paradox — hiring and shrinking at once.

 

There’s a geography shift underneath all of this too — growth is moving toward GCC-heavy hubs and Tier II cities, while some traditional metro markets are actually contracting. Talent sourcing strategies built purely around the old metro playbook are already losing ground.

 

Stop Hiring for Roles. Start Investing in Capability.

The organizations getting this right have stopped asking “do we need to hire for this role” and started asking “what’s the smartest way to acquire this capability.”

That means treating talent like a portfolio, with four levers:

  • Build — invest in reskilling for capabilities core to your edge, especially where external hiring means competing in an overheated market.
  • Buy — hire externally only where speed matters more than cost, and where the skill is too scarce to build in time.
  • Borrow — use contract and flexible talent for emerging or uncertain needs. This model is growing fast for a reason.
  • Automate — for roles already shrinking, treat automation as a deliberate strategy, not a reaction.
Talent portfolio framework diagram showing build, buy, borrow, and automate hiring strategies
The Talent Portfolio Framework — four levers for smarter talent acquisition.

The businesses winning right now aren’t the ones hiring the most. They’re the ones using the right lever for the right capability, and revisiting that mix constantly instead of once a year.

 

The Opening We Can’t Afford to Miss

This shift isn’t a passing trend — it’s a structural rewrite of how talent gets built, bought, and deployed. And it creates a real opening for us.

Three things we need to get ahead of:

  • Precision over volume. Clients don’t need help filling more seats — they need help identifying exactly which capability gap is costing them the most, and solving that first. Our value has to be diagnostic, not just transactional.
  • GCC and Tier II expertise as a differentiator. As hiring concentrates around GCCs and emerging city hubs, firms with genuine depth in these markets will out-position generalist competitors fast. This is where we should be building our sharpest capability.
  • A talent-portfolio offering, not just a hiring service. Clients are going to need help thinking across build, buy, borrow, and automate — not just executing one of those levers. The consultancies who can advise on the mix, not just fill the roles, will own the highest-value conversations in this market.
Three strategic hiring priorities for 2026 — precision over volume, GCC and Tier II depth, talent portfolio offering
Three things we need to get ahead of in 2026’s talent market.

 

The CXOs who move on this now will be the ones defining the next five years of their industries. Our job is to make sure we’re the ones helping them get there first.

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