The uncomfortable refrain we’ve all heard at least once at work:

"This generation doesn't want to work."
"They won't pick up the phone."
"They have no loyalty."
"They want the title before they've earned it."

The sentiment comes from real observations, but shallow ones. Something has changed, and the corporate world has been quick to mislabel it.

The “lazy generation” theory has a bigger problem than emotional disconnect: the data doesn’t back it up.

"This generation realized that the carrot they were offering is smaller than the ones their predecessors received."

Let’s talk tenure

If a generation had genuinely stopped committing to work, the first place we’d expect to see it is job tenure. People leave the place they aren’t happy to show up everyday. The 40-Year data tells a different story.

Median tenure for workers aged 25–34 was 3.0 years in 1983, when Baby Boomers filled that age bracket. It fell to 2.6 years in 2000. By 2024, with younger Millennials and Gen Z occupying the same bracket, it stood at 2.7 years.

Four decades, and there’s no observable difference.

Median job tenure, workers aged 25–34
1983 baseline: 3.0 years 3.0 2.6 2.7 1983 2000 2024 Baby Boomers Gen X Millennials / Gen Z
US Bureau of Labor Statistics, Employee Tenure in 2024; EBRI tenure series 1983–2024.

Young people have always switched jobs at roughly the same rate. They’re still figuring out what they’re good at, have the least to lose, and the most to gain from moving.

It’s an age effect wearing a generational costume, not a cultural shift.

So if the behaviour hasn’t changed, what has?

Three things.

Longer queue, narrower doorway

India expanded the pipeline faster than the platform. Seven IITs became twenty-three. Six IIMs became twenty-one. Four IIITs became twenty-five. The IIT student body alone grew from 65,000 in 2015 to 135,000 in 2025.

Every additional seat carried the same promise: work hard, earn your place, and opportunity will follow.

Then the other side of that bargain changed.

In 2023, 11 million of India’s 63 million graduates aged 20–29 were unemployed. Fewer than 4% entered white-collar work.

They did exactly what they were told to do. The queue simply grew longer.

A ladder with missing rungs

A crowded queue is survivable if the door is wide enough. The problem is that the door is closing, and faster in some spaces than others.

Fresher hiring across India’s IT industry fell from roughly 600,000 in FY22 to about 120,000 in FY25. An 80% collapse in three years, with FY24 recording the lowest intake in two decades.

Fresher hiring across Indian IT
~600,000 ~120,000 FY22 FY25 −80% in three years
FY24 recorded the lowest fresher hiring in two decades. Xpheno research, via Business Standard (June 2024) and Business Today (March 2026).

Meanwhile, Stanford’s Digital Economy Lab analysed ADP payroll data covering millions of American workers and found a 16% relative decline in employment among 22–25 year olds in the occupations most exposed to AI. Employment for experienced workers in those same occupations remained largely unchanged.

The first jobs AI is replacing were never the glamorous ones. They’re the jobs people used to learn from: reviewing documents, writing first drafts, cleaning data, sitting in meetings to take notes, fixing small bugs.

That work wasn’t particularly valuable on its own. Its value lay elsewhere. It was the apprenticeship disguised as output, and it was how people learned enough to reach the second rung of the ladder.

That rung is disappearing while people are still standing on it. The same generation being told to “prove themselves” is entering a labour market that has quietly removed many of the jobs where proving yourself was once possible.

Is it even worth it?

In 2007, an Assistant System Engineer Trainee at one of India’s largest IT services firms earned ₹3.16 lakh a year. In 2026, the same role at the same company starts at ₹3.36 lakh.

Nineteen years later, that’s an increase of ₹20,000. A compound annual growth rate of 0.32%.

Over the same period, Indian consumer prices rose 213.6%. To match the purchasing power of that 2007 salary, today’s package would need to be ₹9.91 lakh.

The entry-level package, 2007 versus 2026
₹3.16 L ₹9.91 L ₹3.36 L 2007 package Needed in 2026 Actual 2026 package as offered to match 2007 purchasing power 34% of what it needed to be
The same job title at the same firm, nineteen years apart. The dashed bar is the salary required to hold the 2007 standard of living. Business Today (February 2026); World Bank India CPI series, cumulative inflation 213.6% across 2008–2025.
−66%
The real value of an entry-level Indian IT salary between 2007 and 2026. During the same period, the revenues of those firms roughly doubled.
The same job, nineteen years apart 2007 2026
Starting package ₹3.16 lakh ₹3.36 lakh
Cumulative inflation since 2007 213.6%
Salary needed to match 2007 purchasing power ₹9.91 lakh
Actual salary as a share of that 34%
Real change in value −66%
Employer revenue over the period Doubled

There was no specific year in which the package was cut. It was simply held still while everything else moved upwards.

The less rosy picture

In India, specifically, buying your own house is both economic as well as symbolic. It’s a visible goal-post your job is supposed to lead towards.

For millennials, that sequence felt difficult but possible: degree, job, home, family, retirement. You probably couldn’t afford the home at twenty-three either. But you could see it, and each year of work felt like it brought the thing a little closer. That visibility made the early years bearable. Few people love their first job.

Between 2019 and 2024, entry-level IT salaries didn’t move at all. Over the same period, residential property prices rose 57% in Bengaluru, 64% in Hyderabad, and 44% across India’s seven largest cities.

A ₹50 lakh home, priced in years of an entry-level salary
Bengaluru Hyderabad Top 7 cities 14.9 yrs 23.4 yrs 14.9 yrs 24.4 yrs 14.9 yrs 21.4 yrs
2019 2024
The dream got farther & farther. ANAROCK Research, residential price growth 2019 to H1 2024.
+8.5 years
That's how much farther a Bengaluru home moved away between 2019 and 2024, measured against a stagnant entry-level salary. Five years of work. Nothing done wrong. Yet the destination is almost a decade further away than when you began.

And it doesn’t stop there. Project the same salary forward using India’s average annual increment of 9%, while assuming house prices grow by just 6%, well below what they actually did. Even under those optimistic assumptions, it takes 33 years to reach the affordability threshold for the cheapest metro home. At 8% annual property appreciation, the two lines never meet.

The people living through this aren’t running spreadsheet models. They’re simply noticing that their parents bought homes at an age they almost certainly won’t, and that every year of work seems to widen the gap rather than narrow it.

Deloitte’s India research captures that feeling in numbers. More than 60% of Indian Gen Z and Millennials say housing affordability influences their career decisions. 54% have postponed major life decisions because of financial pressures.

These are the responses of people who’ve done the math and understood that the sequence no longer works, most jobs are simply not “worth it”.

Anger, then frustration, then disillusionment, then disengagement

Put a person in these situations and the pattern becomes almost inevitable.

First comes anger, and it’s the emotion we misunderstand most. It comes from doing everything you were told to do, only to be told the outcome is your fault, not from a dislike of work. Someone who arrives at twenty-four with a degree, an education loan, and no job offer is angry because they kept their side of the bargain and are now being blamed for a result they never controlled.

Then comes frustration. The response to a longer queue is to collect more credentials: another certification, a master’s degree, coaching classes, another line on the résumé. Yet the queue keeps getting longer. Effort continues to rise while its ability to change the outcome steadily falls.

Then comes disillusionment, and unlike frustration, it isn’t loud. Frustration still believes the destination exists. It assumes there’s another exam to clear, another qualification to earn, another hurdle to cross. Disillusionment is the moment someone stops believing the destination is there at all, not because it’s too far away, but because it no longer feels real.

And finally comes disengagement. Not resignation, not incompetence, just a slow withdrawal of discretionary effort: the unanswered message at 9 p.m., the employee who does exactly what’s asked and nothing more, the quiet decision that going above and beyond carries no visible return.

This is the point where most managers first notice something is wrong. The symptoms get diagnosed as personality. The years that came before, the anger and the frustration and the slow erosion of belief, remain invisible because they unfolded long before the manager ever saw the employee withdraw.

That’s the central misunderstanding. Disengagement isn’t where this story begins. It’s where it ends.

Structural, not behavioural

The “lazy generation” explanation is a hypothesis. Like any hypothesis, it makes predictions, and those predictions can be tested against the evidence.

If the cause were attitude, you would expect What the data shows
Job tenure collapsing compared with previous generations Median tenure for workers aged 25–34 was 3.0 years in 1983 and 2.7 years in 2024. A difference of three months across four decades.
Young people abandoning credentials because they lack effort India’s IIT student body has doubled to 135,000, the country now has 63 million graduates aged 20–29, and competition for elite institutions remains as intense as ever.
Poor outcomes concentrated among the least capable Fewer than 7% of male graduates find permanent salaried work within a year of finishing, and 11 million graduates aged 20–29 were unemployed in 2023. The outcome is general, not sorted by effort.
Disengagement appearing regardless of economic incentives Entry-level salaries have fallen 66% in real terms, fresher hiring has collapsed by 80%, and home ownership has moved 8.5 years further away in five years.
Little interest in long-term planning 54% have delayed major life decisions for financial reasons, while over 60% say housing affordability influences their career choices.
A problem unique to India’s culture AI-exposed occupations in the United States have already seen a 16% relative decline in employment among workers aged 22–25.

None of the evidence points to a generation that’s stopped trying. Job-switching behaviour is largely unchanged. If anything, investment in education has intensified. Young people still plan for the future, which is precisely why they’ve begun recalculating it.

What has changed is ROE - Return on Effort. On education. On work. And, perhaps most importantly, on hope.

Three structural failures, in education, employment, and economic outlook, and a generation responding rationally to each of them. Attitudes have little to do with it.

Can you do something?

Yes. If you’re leading a team today, don’t lower your expectations. Update the assumptions behind them instead.

Know what you (really) offer

A salary is defined by what it buys, not the number printed on the offer letter.

If your starting salary has risen less than 59% since 2015, you’ve reduced entry-level pay in real terms, regardless of how generous each annual increment looked. Over the same decade, Indian consumer prices rose 58.8%.

Many organisations describe this as a retention problem. It’s often a pricing problem wearing the language of culture. No engagement survey will tell you that, because engagement surveys rarely ask whether the economic bargain itself still makes sense.

Rebuild the first rung

AI hasn’t just automated junior work. In many organisations, it’s also removed the apprenticeship that junior work used to provide.

Reviewing documents, writing first drafts, cleaning data, fixing minor issues: none of these tasks were high risk. What made them worth doing was the judgment they taught.

Companies that automate those tasks without replacing the learning process shouldn’t be surprised when junior employees struggle to develop the experience those tasks once created. The organisations that still have strong senior talent a decade from now won’t necessarily be the ones using the most AI. They’ll be the ones that deliberately rebuilt the learning pathway - with or without AI.

Make the future visible again

For many young employees, tomorrow’s trajectory causes more uncertainty than today’s workload.

Most haven’t been shown a credible path from where they are today to where they want to be. Generic promises of “growth” no longer carry much weight. Specificity does. Show them what this role can become, what someone earns after three years, which skills move them to the next level, and what the growth criteria actually are.

A believable future is one of the strongest retention tools an organisation can offer. Ambition was never the problem. Visibility is.

The youth always have to prove themselves. They studied harder than previous generations, collected more credentials, entered a more competitive labour market, accepted lower real wages, faced fewer entry-level opportunities, and watched the milestones that once defined adulthood move steadily further away.

The arithmetic behind that experience is public, not hidden. Anyone willing to look can verify it.

They are not refusing to work. They’re refusing to pretend that the offer is still what it once was.

Sources and methodology

US Bureau of Labor Statistics, Employee Tenure in 2024 (September 2024) and EBRI, Trends in Employee Tenure 1983–2024 — median tenure ages 25–34: 3.0 years (1983), 2.6 (2000), 2.7 (2024) · Azim Premji University, State of Working India 2026 (March 2026) — 11 million of 63 million graduates aged 20–29 unemployed in 2023, under 7% of male graduates in permanent salaried work within a year of finishing, under 4% in white-collar work. Graduate outcomes are reported here as within-cohort rates rather than as comparisons against less-educated groups, because Indian unemployment rates count only those actively seeking work and therefore understate joblessness among populations concentrated in subsistence and informal labour · Ministry of Education — IIT student numbers 65,000 (2015) to 135,000 (2025); institutional counts for IITs, IIMs and IIITs · Business Today (9 February 2026) — TCS Assistant System Engineer Trainee package ₹3.16 lakh (2007) to ₹3.36 lakh (2026), corroborated by People Matters (11 February 2026) · World Bank, India CPI annual series FP.CPI.TOTL.ZG — cumulative inflation 213.6% (2008–2025) and 58.8% (2016–2025); all real-value calculations compounded from this series · Xpheno via Business Standard (June 2024) and Business Today (March 2026) — IT fresher hiring approximately 600,000 (FY22) to approximately 120,000 (FY25) · Brynjolfsson, Chandar and Chen, Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence, Stanford Digital Economy Lab (November 2025), ADP payroll data — 16% relative employment decline, ages 22–25, in the most AI-exposed occupations · ANAROCK Research — residential price growth 2019 to H1 2024: Bengaluru 57%, Hyderabad 64%, top seven cities 44% · Knight Frank India Affordability Index via Business Standard (December 2025) — the 50% EMI-to-income threshold used here to define the affordability point · Aon India Salary Increase Survey — the 9% average annual increment used in the forward projection · Deloitte Global Gen Z and Millennial Survey, India cut (2025 and 2026 editions) — 54% delayed major life decisions for financial reasons, over 60% report housing affordability affecting career decisions. Years-of-salary figures and forward projections are the author's calculations from the sources above, holding the entry package at ₹3.36 lakh and applying a 9% annual increment against the stated home-price growth rates.
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