Compensation Trends In The Gig Economy

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On a global scale, data from the World Bank shows that the global gig economy accounts for up to 12% of the labour market, much higher than previous estimates for the total number of gig workers. It is pretty evident that the gig economy is growing.

With the rise of the gig economy, more and more individuals are turning to freelance, contract, or temporary work arrangements. As this trend continues to gain momentum, it is becoming increasingly important to explore the intricacies of compensation within this sector.

Sanjeevani Saikia: So before we begin, let me introduce myself. I am your host, Sanjeevani Saikia, and in today's episode of the Vantage Influencers Podcast, we have with us Parvathy Menon. Through this conversation, she will help us understand the compensation trends in the gig economy in depth. So let's get started. Hi, Parvathy.

Parvathy Menon: Hello, Sanjeevani. Hi.

Sanjeevani Saikia: It's great to have you here with us today. Before we dive into today's topic, compensation trends in the gig economy, I would love to hear a bit about your professional journey so far. Can you share some highlights from your corporate journey?

Parvathy Menon: Hello, I am Parvathy. I am an HR practitioner currently specializing in compensation. I help companies around the globe design and implement their compensation strategies. I have close to 14 years of experience in HR, and over the years I have worked across almost all areas within HR. I am also an independent researcher, and I do a lot of studies on human behavior.

Sanjeevani Saikia: Wonderful. Thank you so much for sharing your corporate journey with us, we really appreciate it. With your permission, I would like to begin today's conversation.

Parvathy Menon: Sure, please.

Sanjeevani Saikia: As you must have observed, the gig economy has witnessed significant shifts in how workers are compensated, from traditional salary pay structures to more dynamic and flexible models such as per task or performance based compensation. There is a continuous evolution happening. So as we dive into today's conversation, I am curious about the key shifts you have observed in compensation trends within the gig economy, and how do you see these changes impacting both workers and employers?

Parvathy Menon: Absolutely, you said it very right, the gig economy is evolving tremendously. Some of the reports we get to see are striking. I read an industry report from 2022 that estimates the market size will reach around $8.53 trillion by 2030. And even within India, another study states the gig economy market size is going to touch $455 billion by 2025, and separately, projections suggest gig work could account for as much as 43% of the total workforce in the US by a similar timeframe. So the numbers are huge. The gig economy is not something anyone can ignore, and because of that there is a lot of change happening across platforms, compensation models, and regulatory landscapes. You can see a lot of advancement these days.

As you rightly said, in the past compensation models used to be a flat fee for a project, or an hourly base pay. But now there has been a lot of diversification. One is performance based pay. We also have skill based pricing, where rates are different for premium or hard to find skills. Even the hourly rate system is not just standard anymore, it is dynamic pricing that changes based on context. We have also seen subscription based pricing and hiring on different platforms. Some platforms are even managed and run by the workers themselves, where they do revenue sharing.

So there have been a lot of changes and improvements on the compensation side, and on the platform side too. Platforms are becoming more transparent about payment and more accommodating of flexibility, which is welcome, with the well being of workers in mind. Some platforms are also offering limited healthcare, PTOs, and some countries are even experimenting with pension schemes tied to platform work.

There is also a technological shift. AI is influencing the gig economy and gig platforms too, whether that is AI based pricing, AI enabled pay calculations, or digital reward point systems. And finally, there is a lot of improvement on the regulatory front. Worker unions are pushing for it, governments are working on it, and platforms are also contributing by making changes.

A few years back, you would hear about situations where someone puts up work or shares data and does not get paid for it. Gig workers always had that kind of issue. But nowadays it is far more regulated. We have seen lawsuits against platforms for unfair pay practices or non transparent payouts. Governments across the globe are also working to classify gig workers more specifically. They are not defined very clearly everywhere yet, but many countries are coming up with clearer definitions for gig workers and trying to ensure minimum wages and benefits like social security. So things are improving quite well, and all these shifts, shaped by diverse factors, are good for the overall gig economy.

Sanjeevani Saikia: Interesting. It is pretty evident that the gig economy has largely disrupted traditional employment paradigms, and it is fascinating to see how compensation models are adapting. Earlier, hourly wages and annual salaries were the sole measure of payment, but now we are seeing the emergence of models like pay per performance or revenue sharing arrangements. So I would love to hear what innovative compensation models you have encountered that are gaining traction within the economy, and how do you envision these models shaping the future of work?

Parvathy Menon: The very nature of gig workers is that they value freedom and flexibility, and they cannot be structured into a one size fits all model. Companies also look to compensate employees differently based on certain demographics or groups, so there is flexibility even within structured organizations. The gig economy needs that flexibility even more, and shifting from a fixed structure to a flexible one is essential for a growing economy like this.

Traditional notions of compensation, like a flat fee for a task or standard hourly wages and salaries, are going through an overhaul. I have seen a lot of change in how people and platforms structure pay. Some of what we are already experiencing is with ride shares: you see surge pricing, and food delivery apps charging more during peak hours. All of this is designed to pay workers more for the effort they put in during peak hours or specific conditions, so we experience surge pricing during those peak windows. That is part of most of our lives these days.

Another trend is skill based pricing, which is becoming very prominent, because on any platform you will see workers classified based on their skills, and job opportunities listed based on skill requirements. That has become fundamental, and hot or premium skills command a higher rate than standard ones.

Performance based incentives are also gaining traction. When you complete a milestone or a project within a certain timeline, or hit early delivery targets the client or platform has set, you get additional incentives on top of the base pay, sometimes structured into tiers based on things like early completion or milestone achievement.

We also spoke about revenue sharing. There are worker collectives that own and run their own platforms, and they do revenue sharing there. Some platforms also let workers partner with them and share a percentage of the revenue.

Another interesting trend is subscription models, where platforms offer subscription based access to a pool of skilled workers. Clients pay a regular fee for guaranteed service, so the platform keeps a bench of workers and clients pay a subscription to use those services. It is gaining traction, especially where clients want uninterrupted access to services.

Tokenization is another one that is already in practice on some platforms, though not all, and I think it is very innovative. Gig workers do not usually get a chance to build long term wealth the way a regular salaried employee does through stock options or ESOPs. Tokenization gives them a similar opportunity: some platforms reward workers with tokens, which could be a form of digital reward or even cryptocurrency, that can potentially carry higher value if exchanged in the market later. That can become a wealth creation opportunity for a gig worker too.

Other trends include platforms offering minimum wage or minimum earnings guarantees, where a worker is committed to earning a certain amount in a certain time frame, and if they fall short, the platform tops up the difference so that guarantee is met, which solves the minimum wage problem for that worker. Some platforms also break a larger project into micro tasks so workers get paid as each micro task is completed rather than waiting for the whole project to close out, which suits people who do not want a long term commitment.

So in a nutshell, a lot has been tried to address the variability and flexibility that the gig economy demands, and it keeps evolving based on need.

Sanjeevani Saikia: Interesting. You have touched on something really critical here, tokenization. Are organizations actually educating their gig workers about it? Because this is a big opportunity for gig workers to create wealth that they might not otherwise have access to. So what initiatives are companies taking to educate them, are they really doing that in the first place?

Parvathy Menon: That is a requirement for them too. Any reward, fundamentally, exists to motivate an employee to do more or to influence certain behaviors, and tokenization is no different. When a platform offers a reward that can be tokenized, the purpose is to get certain work done or influence certain behaviors, so platforms are definitely taking measures to help people understand how it is useful for them in the long run, and how they can earn more from it since there is no cap, unlike in a salaried environment. So it is a win-win for both sides, and companies are taking measures to educate people around it. That said, it is not very prevalent across all types of platforms, we mostly see it on technology related platforms. In a low skilled environment it is not very common yet, which may be why it is not talked about as much. But I think it will gain momentum, and there is no reason it cannot become a mainstream rewarding system.

Sanjeevani Saikia: Now, to attract and retain gig workers while balancing cost efficiency, I am sure companies are exploring unique compensation structures. It would be great if you could share some examples of companies that have implemented unique compensation structures to incentivize gig workers effectively, and help us understand how these structures contribute to both worker satisfaction and organizational success.

Parvathy Menon: One thing that has worked well is what we see with dynamic pricing on ride share and delivery platforms. It is a very creative way to address a business problem while also motivating workers to help solve it. If a worker puts in extra effort to meet a business demand, they are adequately compensated for it, so it is a fair way of structuring compensation. From a compensation professional's point of view, I would say it is both creative and fair: you are giving something extra for what you are taking extra.

Another unique approach is skill based multipliers. We already spoke about how skill based compensation is fairly prevalent now, but some companies use skill as a multiplier, essentially an accelerator. When you are enrolled as a worker on a platform and you deliver work to a client through them, you are paid a base rate, but they add a skill based multiplier so your rate increases by a certain amount. If you are a highly skilled worker, your skills can fetch you a premium, which is another way of structuring compensation to the worker's benefit.

Some platforms also run games, contests, and leaderboards, paid out in virtual rewards, points, or digital rewards that can later be converted and used to purchase something. Many platforms are tied into point systems like this, where points earned can be redeemed for something else. This kind of extra points for extra achievement structure was not common in the past, but it is becoming popular now. It is not new as an idea, it just needs to gain traction across more platforms, but it is already implemented in many places.

Then there is guaranteed minimum hours or minimum income, essentially subscribing to a number of guaranteed work hours. Not very prevalent yet, but many companies have started experimenting with it. Some governments, like Germany and New Zealand, have started three to five year pilot programs to see how this plays out: ensuring minimum wages and structuring compensation so a worker earns a certain amount for a set number of hours of commitment. This is gaining momentum.

Platforms are also offering non cash incentives and bonuses. If you are a star or a very loyal worker on a platform, you might get micro insurance or limited time health insurance, flexible timing, or discounts on vehicle maintenance and fuel. These are non cash incentives built into compensation to motivate workers. People are getting very creative about incentivizing each worker based on their context, demographic, age, or type of work.

But while all this flexibility and tailoring is good, it can also lead to unfair practices, because when everyone is paid uniquely, there is no visible trend, and you do not know if you are being compensated fairly. That is something governments need to address with proper regulatory measures. We should welcome structures that suit individual needs, but also make sure no one is being underpaid or unfairly compensated. Some studies show there is still a wage gap between genders even in the gig economy, so you can imagine what kind of unfairness can creep in without regulatory guardrails, especially if we push for very tailored compensation for everyone.

Sanjeevani Saikia: It's interesting that within the gig economy, compensation trends vary across different roles and industries. For instance, ride share drivers might prioritize hourly earnings while freelance consultants may value project based fees. Despite these variations, I believe overarching strategies like fair pay and transparent compensation practices remain paramount across the board. So how do you see compensation trends differing among various roles within the gig economy, and are there any common challenges that workers and employers face when ensuring fair compensation?

Parvathy Menon: To answer the first part, how we differentiate pay comes down to how we classify workers. Gig workers fall into different categories, and the granularity of that classification determines the right kind of compensation for each segment. Broadly, taking your example of a driver versus a freelance consultant, we can divide gig roles into roughly three categories. One is a low skilled manual task segment. Then there is a medium skilled or service oriented segment, like virtual assistants or content creators, where role complexity is higher than a low skilled role but not as complex as, say, a strategy consultant advising a CXO, who would fall into a high skilled or expert role category. Each of these three can be segmented and their compensation tailored to context.

For a delivery worker or someone running errands, there is not much complexity in the role, so they are mostly evaluated on time taken or distance covered. There is very limited room for negotiation, it is a fairly fixed criterion. For a medium skilled or service oriented role, like a virtual assistant, they cannot be paid based on time or distance, the parameters change completely. They are compensated for their skills, what they bring to the table, and how they influence business outcomes. Certifications or specific skills can earn them a premium that a low skilled manual task worker would not get. For them, the extra reward tends to be good customer reviews or higher rates during peak hours.

For high skilled expert roles, none of that really applies. They are mostly paid based on the project, but the scope and complexity of the project is the key differentiator. Taking the example of a strategy consultant advising a CXO, personal reputation also plays a crucial role. Two people can be equally competent and doing the same job, but how they get selected for a critical project often depends on their personal reputation and the trust they have built, since CXO level assignments require a lot of trust. That trust plays into their compensation too.

Sanjeevani Saikia: I guess that's more about the brand value the person holds.

Parvathy Menon: Absolutely. So as a gig worker, this is something everyone should keep in mind, maintaining their brand value and personal reputation. Platforms allow you to gather reviews and showcase your work, and these are all ways to build your personal brand, which matters a lot in the long run.

Sanjeevani Saikia: Parvathy, I am sure gig workers are increasingly advocating for access to healthcare, retirement plans, and other traditional employment benefits, and this advocacy reflects a broader societal conversation about the rights and protections owed to all workers, regardless of their employment arrangement. So how do you see gig workers advocating for fair compensation packages, and more importantly, what steps can companies take to address these concerns while maintaining the flexibility that is inherent to the gig economy?

Parvathy Menon: At many levels, gig workers are advocating for fairness in compensation and benefits. At an individual level, they can negotiate directly with the platform for better pay, transparent payouts, and better protections. They can also diversify their income streams, and build a strong reputation through positive reviews, these are things I would strongly recommend every gig worker do.

At a larger level, there is a lot of traction around unionization. Many unions, collectives, and associations are pushing gig workers to advocate collectively for their needs, whether that is with the government or with platforms, and that collective bargaining power is growing in ways nobody can ignore. Alongside that, there is a lot of push on the legislative and regulatory side, gig worker groups are lobbying for reform, and we have seen lawsuits against some platforms. All of this collective action is helping workers advocate for their rights and well being. Social media also plays a good part here, with online campaigns pushing for legislative changes or other demands. So workers are coming together in different ways for their common purpose, and that is shaping how things move forward.

Sanjeevani Saikia: You mentioned demographic factors earlier, but I would like to go a little deeper. Gig workers in high demand urban areas may command higher rates than those in less populated regions, and similarly, specialized skills, as you have mentioned, often translate to higher earning potential. So how do you see geographic and demographic factors influencing compensation trends within the gig economy, and are there any disparities worth highlighting across different regions or demographics?

Parvathy Menon: Demographics and other factors like location and skill can all create differences in compensation. As you rightly said, urban workers get paid more than rural workers, primarily because the cost of living in urban areas is higher, and platforms pay accordingly. Demand also plays a role, the demand for rides or deliveries is higher in urban areas than rural ones, so when demand is higher, workers benefit more. There is also a supply and demand effect: if the availability of gig workers for a certain skill or role is high in an area, rates tend to come down because supply outpaces demand.

As I mentioned before, some countries, not India as much, are taking measures to ensure gig workers have some minimum protections, which becomes a kind of mandate for platforms in those countries. We have already covered skill based differentiation, and another factor is platform reputation: some platforms specialize in certain skills and offer higher rates to attract or retain workers with those skills, so workers attached to that platform can earn more than someone with similar skills who is not on it.

This is particularly true in the low skilled category too, where seasonal demand surges, like the holiday season, bring higher pay compared to normal periods. Time sensitive tasks also come with a premium, since a worker has to put in extra effort to meet that deadline, so time plays into how much extra you earn.

On urban versus rural again, urban workers generally have more awareness and exposure to these platforms than rural workers do, and not every platform is geographically inclusive, so someone with the same skill set may not get the same opportunity in a rural area that they would in an urban one. That kind of disparity is definitely there.

And as I mentioned before, age and gender show real disparities too. There is a documented wage gap between men and women even in the gig economy, women are often paid less than men according to studies, and younger workers tend to be paid more than older workers. That is not a good thing, because if pay is meant to be based on skill, performance, or achievement, then variables like age, gender, or location should not factor in at all. Platforms should be gender agnostic and, as much as possible, demographic agnostic. Geography is a bit different since it can be tied to whether a service is even offered in a location, but gender and age should not be allowed to creep into the system.

There are also cultural differences to consider. Cultural norms and regulations vary significantly between countries, and that influences compensation trends and worker protections. In China and some other Southeast Asian countries, platform fees are tightly regulated, platforms cannot charge workers just any amount. In Europe, there are government measures restricting platform fees. In India, we have not fully reached that point yet, though the government is working on a social security code, and discussions are ongoing about regulating platform fees and ensuring minimum wages and protections for these workers. So some countries are in very early stages while others, like France, already classify gig workers in a way that guarantees them a minimum wage. So there are real differences from country to country, and closing that gap comes down to legislative measures. I am sure worker unions will keep pushing to make sure these disparities do not stay baked into the system.

Sanjeevani Saikia: Perfect. There are so many areas left untouched in the gig economy, but unfortunately we are running out of time, so we have to wrap up today's episode. I am sure we will explore more of this in upcoming podcasts. So as we come to the end of today's episode, what message would you like to leave with our listeners? And for those keen on staying connected with you beyond this podcast, could you share how they can reach out to you?

Parvathy Menon: Sure. My message to everyone listening, especially gig workers, is that the future of the gig economy is very promising. We are in a fascinating and dynamic space, shaped primarily by workers organizing collectively, by the legislative measures different governments are taking, and by the innovative ways platforms are trying to reward people. Nobody can ignore this huge global workforce, and I am confident regulators and platforms will continue to prioritize worker well being, because they cannot afford to ignore a group this large. So the future is bright, and I hope we see more regulatory measures and social security frameworks in place soon, so more gig workers benefit, and we avoid situations where someone is disadvantaged simply because they have chosen a flexible way of working.

To reach me, I am very active on LinkedIn, so feel free to connect with me there.

Sanjeevani Saikia: Great, I am sure our listeners will connect with you after this episode. Parvathy, thank you so much for joining us today. We are very grateful to have you, and thank you for sharing your insights.

Parvathy Menon: Thank you so much. I am truly humbled to have been part of this conversation and to have had this opportunity with you. Thank you so much.

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