Digital platforms are creating new jobs and income opportunities at remarkable speed. The larger question is whether they are also creating better livelihoods.

When Rajesh, a fresh B.Com graduate from Indore, enters the workforce, he may imagine an office job, a desk, a regular salary and a reasonably predictable career. Instead, he may soon find himself riding through crowded streets, smartphone mounted on the handlebars, waiting for the next delivery order.

There is nothing unusual about this transition anymore.

Across urban India, digital platforms have created a new and highly visible route into the labour market. Food delivery, ride-hailing, e-commerce logistics, home services and a growing range of online tasks can connect a worker with income within days rather than months.

That is an important achievement.

But it also raises a larger economic question: is India moving from informal work to formal employment—or simply giving informality a digital interface?

The answer is not straightforward. Platform work provides flexibility, income and an entry point into the labour market. At the same time, it can leave workers carrying risks that were traditionally shared, at least in part, by employers.

The real challenge, therefore, is not to stop the gig economy. It is to make sure that India’s digital labour market does not become a permanent substitute for better-quality employment.

A fast-growing workforce, but with an important caveat

NITI Aayog’s June 2022 report, India’s Booming Gig and Platform Economy: Perspectives and Recommendations on the Future of Work, estimated that India had about 7.7 million gig workers in 2020-21, equivalent to 1.5% of total employment and 2.6% of non-agricultural employment. It projected that the number could rise to 23.5 million by 2029-30, or 4.1% of total employment and 6.7% of non-agricultural employment.

These figures are frequently cited, but they need to be read carefully. NITI Aayog itself described the estimates as indicative because gig work is difficult to measure and significant data gaps remain.

There is another important distinction. Gig workers are not synonymous with platform workers. Platform workers are a subset of gig workers whose work is sourced through an online platform.

The distinction matters because the phenomenon is broader than food-delivery riders and ride-hailing drivers. Gig work is spreading across occupations and skill levels, including professional and knowledge-based services.

That makes the issue much bigger than the familiar image of the delivery rider.

The real paradox: employment absorption without enough upward mobility

India needs enormous employment generation. Millions of young people enter the labour market every year, while manufacturing has not yet absorbed labour on the scale seen in some other Asian economies during their industrialisation.

Platform work fills part of this gap.

Its entry barriers are low. A worker can often begin earning relatively quickly. For a young person between jobs, a migrant worker, a student or someone supplementing household income, that flexibility can be valuable.

The problem arises when temporary flexibility becomes a long-term labour-market destination.

A delivery platform can match a worker to a customer with remarkable efficiency. But an efficient matching system does not necessarily create higher human capital.

A worker may become faster at navigating traffic, managing orders and responding to customer demand. Yet those capabilities do not automatically translate into a technical qualification, an apprenticeship, industrial experience or a pathway into a higher-productivity occupation.

This is where the productivity question enters.

India does not merely need more work. It needs more productive work that raises incomes and capabilities over time.

When the enterprise risk moves to the worker

The most consequential feature of platform work may not be the algorithm itself. It may be the way economic risk is distributed.

A conventional employee normally does not buy the machinery of the enterprise. A delivery worker does.

The smartphone, mobile data, motorcycle, fuel, maintenance and much of the cost of remaining available for work are borne by the worker.

If demand falls for an hour, the platform’s revenue may fall. But the worker may still be sitting on a motorcycle, consuming fuel and time without receiving an order.

If the vehicle needs repair, the cost is personal.

If an accident prevents work, income can stop immediately.

This is a form of risk transfer that deserves much more attention in the public discussion about the gig economy.

It would be too sweeping to suggest that platform workers have no protection at all. Several platforms provide insurance or other benefits, and government schemes increasingly cover parts of the workforce. But coverage, adequacy and portability remain crucial questions.

The economic distinction is simple: who absorbs the shock when something goes wrong?

For a salaried worker, some risks are pooled within the employment relationship. For a platform worker, a larger share may fall directly on the household.

That difference matters enormously when household savings are thin.

Algorithms may not be employers, but they can shape working lives

The traditional workplace had a supervisor, a roster and a physical workplace.

The platform workplace has an app.

An algorithm can influence which jobs are offered, how workers are rated, how incentives are structured and, in some cases, whether access to the platform is restricted.

This creates an unusual labour relationship.

The platform may not regard itself as a conventional employer, while the worker may have considerably less freedom than the language of “independent partner” suggests.

This does not mean that every algorithmic decision is exploitative. Algorithms can improve matching, reduce idle time and make services more efficient.

The issue is transparency and accountability.

If an algorithm materially affects a person’s income, the worker should have some understanding of the rules under which that decision is made and a meaningful avenue to challenge an adverse decision.

That is becoming one of the defining labour-policy questions of the digital economy.

India’s regulatory response is beginning to catch up

The regulatory landscape has changed significantly.

The Code on Social Security, 2020 came into force on November 21, 2025, bringing gig and platform workers explicitly within the national social-security framework. The Code provides for social-security measures covering areas such as life and disability, accident insurance, health and maternity benefits and old-age protection, and provides for a Social Security Fund and a National Social Security Board.

This makes the earlier description of a “prolonged implementation delay” outdated.

At the state level, the policy experiment has moved even further.

Rajasthan: the first major statutory experiment

Rajasthan’s 2023 law established a framework for registering platform workers and aggregators, creating a welfare fund and imposing a welfare fee on aggregators based on the value of transactions involving platform workers.

The significance of Rajasthan lies not simply in creating a welfare board. It introduced the idea that the platform economy itself should contribute to financing worker protection.

Karnataka: bringing algorithms into labour regulation

Karnataka subsequently enacted the Karnataka Platform Based Gig Workers (Social Security and Welfare) Act, 2025. The legislation provides for worker registration, a welfare board and fund, and a Payment and Welfare Fee Verification System. It also addresses automated monitoring and decision-making systems and provides safeguards around termination or deactivation.

The 14-day notice requirement for termination or deactivation, subject to specified exceptions, is particularly significant because it recognises that control over access to a platform can have consequences similar to loss of employment.

Jharkhand and Bihar: the model spreads

Jharkhand enacted its Platform-Based Gig Workers (Registration and Welfare) Act, 2025, while Bihar enacted its Platform Based Gig Workers (Registration, Social Security and Welfare) Act, 2025. Both extend the regulatory architecture beyond the original Rajasthan experiment.

Bihar’s law, for example, includes provisions dealing with social security, insurance, payment timelines, grievance redressal, data protection and algorithmic transparency.

Telangana: from draft to law

Telangana has now moved beyond the draft stage as well.

The Telangana Platform Based Gig Workers (Registration, Social Security and Welfare) Act, 2026 came into force on June 2, 2026. The law establishes a welfare board and fund and provides a statutory framework for the registration and protection of platform workers.

The result is noteworthy: India is no longer dealing merely with isolated policy experiments. A group of states is beginning to build a new regulatory architecture around platform work.

The next question is implementation

Legislation is necessary. It is not sufficient.

The real test will be whether workers actually experience better outcomes.

Will registration translate into meaningful social security?

Will welfare contributions be collected efficiently?

Will benefits travel with workers when they move between platforms or across states?

Will grievance mechanisms actually work?

And perhaps most importantly, will the regulatory system improve the quality of work without destroying the flexibility that makes platform work attractive to many workers?

These are difficult questions because excessive regulation can raise costs and reduce opportunities, while inadequate regulation can leave workers carrying disproportionate risks.

The objective should therefore not be to recreate the nineteenth-century factory workplace inside a smartphone app.

It should be to build a new social contract for digital work.

From welfare to upward mobility

Social protection is only one part of the answer.

India also needs to ask what happens after two or three years of platform work.

Can a delivery worker move into logistics management?

Can a driver acquire skills in vehicle maintenance, fleet operations or electric mobility?

Can a platform worker transition into digital services, retail management or another occupation with greater productivity and income potential?

This is where government and industry can do something much more ambitious than simply providing insurance.

Platform companies generate enormous amounts of operational information. With appropriate privacy safeguards, that ecosystem could help identify skills gaps and connect workers with modular training, apprenticeships and recognised qualifications.

Gig work should be a bridge, not a destination imposed by circumstance.

The macroeconomic question: what happens to the household?

The implications extend beyond labour policy.

If a growing number of workers have irregular incomes and must finance their own work-related assets and operating costs, household financial resilience can become weaker.

A household with a stable wage can plan rent, food, education, healthcare and savings more confidently. A household dependent on variable daily earnings may postpone consumption, reduce precautionary savings or rely more heavily on credit when a vehicle breaks down or illness strikes.

This does not mean that gig work automatically reduces aggregate demand. It means that the quality and stability of the income generated by gig work matter for consumption, savings and financial resilience.

That distinction is important.

India should not measure the success of the platform economy simply by counting how many people have logged into an app and earned something this month.

The more meaningful questions are:

How much do they earn after costs? How predictable is that income? What protection do they have against shocks? And can they move to better work?

A new labour architecture for a new economy

India now has an opportunity to move beyond the old binary of “formal” versus “informal” employment.

The platform economy does not fit neatly into either category.

It is technologically sophisticated but can reproduce economic informality. It can offer flexibility while generating insecurity. It can create employment while leaving questions about productivity and mobility unresolved.

The policy response should therefore rest on three principles.

First, portable social protection. A worker’s protection should follow the worker across platforms, occupations and states. India’s e-Shram architecture and the new national social-security framework provide an important foundation, but portability and actual access to benefits will determine their effectiveness.

Second, transparent platform governance. Workers should understand how important decisions affecting earnings, ratings, incentives and deactivation are made. Algorithmic management cannot remain a black box when it materially affects livelihoods.

Third, upward mobility. Social protection should prevent a worker from falling through the cracks; skills and employment pathways should help the worker climb.

Conclusion: The real test is not the app—it is the livelihood

India’s platform economy is neither a villain nor a miracle.

It is an important response to a changing labour market.

For millions of Indians, it offers something valuable: an accessible source of income in an economy where good jobs remain scarce relative to aspirations. Trying to suppress this new form of work would be neither realistic nor desirable.

But celebrating it uncritically would be equally mistaken.

The central issue is not whether an algorithm can connect a customer to a worker in seconds. It can.

The deeper question is whether that transaction leaves the worker more secure, more skilled and better positioned for the future.

India’s five-state legislative experience—from Rajasthan and Karnataka to Jharkhand, Bihar and now Telangana—shows that the country has begun to recognise this challenge. The new national social-security framework adds another important layer.

The next phase must move from legislation to implementation, from protection to portability, and from income support to capability building.

Because the future of work should not be defined simply by how efficiently an app distributes tasks.

It should be judged by whether the person behind the screen has a better economic future because of it.