FOLO BYTES

Nobody Wants to Work in the Factory Anymore

India is betting its economic future on a manufacturing boom — but workers are quietly, decisively, voting with their feet.

July 15, 2026

Every weekday morning at around 6:30 am, across India's industrial belts — Manesar, Hosur, Noida, Dholera — factory supervisors start making phone calls. Not to clients. Not to suppliers. To labour contractors, pleading for warm bodies to fill the day's quota on the shop floor.

That image, unglamorous and quietly desperate, is the most honest portrait of where India's industrial ambition currently stands.

The country has spent the last five years constructing an elaborate case for itself as the next great manufacturing nation. The "China+1" thesis — the idea that global supply chains would diversify away from China, and that India would capture the overflow — has attracted serious capital and serious policy intent. The government's Production Linked Incentive (PLI) scheme, which ties cash incentives to measurable increases in domestic output, carries an outlay of ₹1.91 lakh crore, with 836 applications now approved across 14 strategic sectors. Factories have multiplied. Orders have arrived. Apple's contract manufacturers — Foxconn, Pegatron, Tata Electronics — have made India a top-five global iPhone production hub.

And yet, on the actual factory floor, a quiet crisis is deepening: there aren't enough people willing to show up.


The Numbers Behind the Noise

Let's be clear about what the data shows — and what it doesn't.

India's factory count has nearly doubled since 2001. According to an analysis by Data for India, a research firm, India has more than 2 lakh operational factories employing 1.85 crore people as of 2023, up from about 1.24 lakh factories employing 80 lakh workers in 2001. On paper, that looks like healthy growth.

But zoom in to where demand is accelerating and the picture cracks. India's electronics sector is projected to create 1.2 crore jobs by FY2027–28 — three million in direct roles and nine million indirect. Yet TeamLease projects a talent deficit of 80 lakh workers alongside an additional skills gap of 1 crore — the first is a raw headcount shortage; the second is the number of people who exist in the system but simply don't have the right skills to fill the roles being created. Both numbers are alarming on their own. Together, they threaten to hollow out PLI's most ambitious bets.

The gap is sharpest in cutting-edge specialisms. The shortfall is particularly critical in electronics manufacturing, electrical engineering, and emerging fields like AI and IoT — precisely the domains India is steering towards through PLI.

The "missing middle" compounds the problem. India's factory sector has long been dominated by small firms: roughly 65% of factories have fewer than 50 employees, with only a small fraction scaling beyond 100 workers. Scale requires people. And people, increasingly, are choosing not to come.


The Two-Headed Shortage

The labour problem in Indian manufacturing isn't one crisis — it's two running simultaneously, each with different causes, each demanding a different fix.

The low-skill deficit. In legacy, labour-intensive industries — garments, textiles, food processing — factory owners can't fill even basic sewing, stitching, and assembly roles. These sectors sustain a large share of the formal manufacturing workforce, and they're losing workers not because there's a shortage of people, but because the people don't want these particular jobs anymore.

The story you hear repeatedly from Bengaluru and Tiruppur garment cluster owners is the same: a decade ago, job-seekers queued outside the gate. Now supervisors struggle to muster a full shift. "No one wants to work in factories anymore," one factory owner told Mint. "They want to work on bikes and go around town."

That's not a metaphor. It's a precise description of the gig economy's pitch.

The high-skill deficit. At the other end of the value chain, PLI-driven sectors — electronics, semiconductors, automotive, pharmaceuticals — are hungry for a completely different kind of worker: someone who can calibrate precision equipment, read circuit schematics, maintain automated production lines. India's semiconductor industry alone is projected to face a shortage of 2.5–3 lakh professionals by 2027, spanning R&D, design, manufacturing, and advanced packaging. Academic programmes have not evolved fast enough, leaving graduates without the practical skills the factory floor actually requires.

The upshot: factories at the bottom of the value chain can't find bodies, and factories at the top can't find brains. India is caught in both jaws of a vice.


When a Bike Beats a Factory

To understand why workers are walking away from manufacturing, you have to understand what they're walking toward.

India's gig workforce — delivery riders, rideshare drivers, dark store pickers — rose from 77 lakh in FY21 to 120 lakh in FY25, a 55% increase in four years. Gig workers now account for over 2% of India's total workforce, with non-agricultural gig work projected to reach 6.7% of the workforce by 2029–30, contributing ₹2.35 lakh crore to GDP.

What draws young workers to platforms like Blinkit, Zomato, Swiggy Instamart, and Zepto? The answer is partly about money but mostly about something harder to price: autonomy.

Dark store workers — the people who pick and pack your 10-minute grocery orders — typically earn ₹12,000–18,000 a month on platform estimates, with delivery partners in metro areas reaching ₹18,000–23,000. Platforms offer weekly or daily payouts, flexible shift structures, and some bundle in accidental and medical insurance. Compare that to a garment factory job: fixed 9-hour shifts, rigid attendance, piece-rate wages that punish any deviation, and historically no benefits. The wage gap may be marginal or even negative for gig workers. The autonomy gap is enormous.

Because gig work is task-based, it "offers flexibility by allowing workers to choose when, where, and how much they work," the Economic Survey 2025-26 noted — making it particularly attractive to those balancing work with caregiving or education.

Industry data from TeamLease Digital suggests dark store workers saw roughly 9% earnings growth in FY2024–25 and delivery partners around 11.5% — substantially faster than wage growth in many formal manufacturing roles. That trajectory matters. If the income gap between a gig rider and a factory worker keeps compressing, the factory has to offer something else to justify the trade-off. Right now, it mostly doesn't.

By 2025, industry estimates put India's quick commerce sector's gross merchandise value — the total value of orders placed — at ₹62,000–71,000 crore, with projections suggesting that figure could cross ₹1.5 lakh crore by 2027–28. That's a lot of bikes, and a lot of riders — most of them young men who might otherwise have been stitching jeans in Tiruppur or assembling circuit boards in Noida.


The Reality Check on Gig Work

Before the gig economy entirely steals this story, a caveat is worth inserting here.

The Economic Survey 2025-26 flagged the sector's precarious income levels explicitly: "About 40% of gig workers report earnings below ₹15,000 per month." That's below the wages a reasonably productive factory worker in an organised sector can earn. Income volatility persists, making credit access difficult, and platform algorithms control work allocation and wages — raising concerns about algorithmic bias and burnout.

Zomato's own data, shared publicly by its CEO in early 2026, illustrates just how part-time gig work actually is: the average delivery partner on the platform worked around 38 days in the year. That's supplemental income, not a career. The Economic Survey itself argues that "the goal of gig-economy policy should be to reshape the terms so that workers exercise real choice rather than being pushed into gigs due to weak demand, skill mismatch, or the absence of a safety net."

So the gig economy isn't simply a better life for everyone who chooses it. But it is a credible outside option — a viable alternative that raises the floor of what a young worker will accept. That distinction matters. The factory doesn't have to lose the wage comparison to lose the worker. It just has to lose the flexibility comparison. And on that score, it loses badly.


The Rural Floor That Raised the Ceiling

The gig economy gets most of the attention, but there's another, less-discussed force pulling workers away from industrial employment: government welfare programmes that have quietly improved what economists call the "outside option" — the minimum you can earn if you don't take the offered job.

MGNREGS — the Mahatma Gandhi National Rural Employment Guarantee Scheme — has since 2005 guaranteed 100 days of wage employment to rural households. Research suggests the scheme has reduced temporary migration for work from rural areas and increased the bargaining power of rural labourers. When a programme guarantees you income at home, you demand more to leave home.

Rising female labour force participation has added another dimension — though the picture here is more complicated than it first appears. Rural female labour force participation rose significantly by 23 percentage points between 2017-18 and 2023-24, from 24.6% to 47.6% — a dramatic shift in seven years. But PLFS data reveals that the main driver has been an increase in rural self-employed women, with more than 80% of them in agriculture. This rise has not been accompanied by increases in earnings, regular wage employment, or access to well-remunerated jobs with benefits.

What this means for manufacturing is subtle but important. More women working locally — even in subsistence agriculture — changes the household calculus for whether to send a member to a distant factory. It doesn't eliminate migration, but it raises the wage at which migration becomes worthwhile. And factories, particularly smaller ones, haven't kept pace.

Industry operators report that workers who leave for seasonal holidays frequently don't return to industrial clusters — citing higher living costs and uncertainty at the destination. The factory was once the best offer on the table for many rural households. The calculation is less clear today.


The Skills Trap

Here is the real structural problem at the heart of India's manufacturing ambition. The PLI strategy deliberately steers production up the value chain — towards electronics, semiconductors, advanced automotive. These are sectors where you can't substitute an unskilled worker for a skilled one. You need people who can operate robotic welding arms, calibrate photolithography equipment, and interpret quality-control data from an automated line.

Current employability rates in electronics and electrical engineering streams stand at only 60%, while ITI-qualified candidates — people who've specifically trained for industrial work — have an even lower rate of 40%. For general education streams, the employability rate ranges between 38% and 55%.

The government has tried to bridge this gap. The Pradhan Mantri Kaushal Vikas Yojana (PMKVY) — India's flagship vocational skilling scheme under the Skill India Mission — has trained over 1.57 crore people and certified more than 1.21 crore, with a focus on Industry 4.0 skills including AI and robotics. But persistent structural problems blunt the impact: several training centres run on outdated infrastructure with under-qualified trainers, and the certifications they issue frequently lack industry credibility.

The deeper problem is cultural. In a country where an engineering degree from any college confers social status, a machining certificate from an ITI does not. Parents don't celebrate it at wedding conversations; students don't aspire to it. Until that changes, India will keep producing graduates who are overqualified in theory and unemployable in practice — and factories will keep running short.


The Counter-View: Is This Crisis Overstated?

A fair question. Sceptics point to two things.

First, production is clearly happening. By December 2025, PLI had attracted cumulative investment exceeding ₹2.16 lakh crore, generated cumulative sales of over ₹20.41 lakh crore, and directly or indirectly created more than 14.39 lakh jobs. If the labour shortage were truly crippling, those numbers wouldn't exist.

Second, the "gig economy eating manufacturing" narrative has a structural hole in it. Quick commerce is not yet profitable at scale. Companies are pouring capital into dark stores, AI-driven logistics, and incentivised onboarding — this is a war for market share, not a settled business model. If platform funding compresses and gig pay is cut, some of those delivery riders might look at factory work differently.

But here's the uncomfortable truth: even if quick commerce plateaus, the structural forces pushing workers away from factories won't disappear. Rural incomes have a floor that didn't exist two decades ago. Workers' aspirations have shifted, especially among the under-35 cohort. And the skills mismatch — a surplus of people trained for roles that no longer exist, a shortage for the roles that are being created — isn't a problem that resolves itself. It requires sustained, credible investment in vocational education that the system has not yet delivered.

The firm-size problem makes it worse. Small factories can't afford training programmes, career ladders, or the benefits packages that might tip a young worker's decision. And because most Indian factories are small, the sector's ability to self-correct is limited.


What This All Means

The irony at the heart of India's manufacturing story is this: the country has one of the largest young working-age populations in the world, and yet it cannot consistently staff its factories.

The problem isn't a lack of people. It's a mismatch between what factories offer and what workers now expect — and that mismatch is being driven by forces that policy can't easily reverse. The gig economy has permanently raised the bar for flexibility. Rural welfare programmes have given workers a liveable minimum. An education system built for another era still doesn't teach people how to make things.

The PLI scheme aims to raise manufacturing's contribution to 25% of GDP. That is an enormous ambition. Achieving it requires not just building more factories but making factory work genuinely competitive with every other option available to a 22-year-old in Uttar Pradesh or Tamil Nadu. That means higher wages, real benefits, flexible structures, and — most critically — a vocational system that makes skilled manufacturing a source of pride, not a consolation prize.

The machines are ready. The orders are arriving. The policy architecture, for all its imperfections, is in place.

What India's industrial leap is still missing is the people who actually want to run it.

THE 30-SECOND VERSION
  • India has over 2 lakh factories employing 1.85 crore workers, but the electronics sector alone projects a skills gap of 1 crore professionals by FY2027–28 — and that's just one of fourteen PLI sectors.
  • The gig economy is the most visible rival: gig workers grew from 77 lakh in FY21 to 120 lakh in FY25, offering flexibility and daily payouts — but about 40% still earn below ₹15,000 a month, making the factory-vs-gig wage comparison more complicated than it first appears.
  • The shortage is two-headed: legacy sectors like garments face a worker exodus driven by preference and aspiration; PLI-boosted tech sectors can't find enough people with the right skills at any price.
  • India's education system still prioritises theory over practice — only 42.6% of graduates are considered employable, and formal vocational training reaches only a small minority of working-age Indians.
  • The risk is structural, not cyclical: MGNREGS wage floors, rising rural self-employment, and the gig economy's social security makeover are permanently raising workers' outside options — reversing that is harder than building another factory.
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