Introduction
Gig economy is selling a good narrative. You can work when you please, log in ad be your own boss. Such actors as ride-hailing drivers, food delivery partners, and warehouse pickers are recurrently referred to as independent participants who exercise flexibility and choice. However, lurking in the background of this language of autonomy is an elusive but intimate sense of control. No boss screaming out orders, no timekeeper at the office, no hierarchy. Rather, an algorithm allocates tasks, evaluates performance, reinforces conformity and punishes deviation. This is the algorithmic management, and it changes the core of control functioning of the modern labour relations.
Algorithms in a Replacement of Human Managers
In conventional jobs, managerial control is observed. A supervisor assigns tasks, checks attendance, as well as assesses performance. These functions are more automated in platform work. The algorithms determine whom to give a task, the amount of payment, the speed at which the task is to be finished, and the possibility of future opportunities. These conditions are not bargained with by the worker; they are brought on a screen as faits accomplish. The power of this system is especially its opaqueness. Employees do not know why they got a specific ride or an order, why their income was high or lower on a certain day, or why their account was put on hold. An algorithm will not justify itself as a human manager and its logic will not be fully revealed as in the case of a contract. The means of control is not that of direct order, but rather the means of coding which organizes all meaningful decisions taken by a worker.
Online Regulation by Rating, Incentives and Deactivation
Ratings have been frequently represented as neutral feedback systems that is a measure of customer satisfaction. As a matter of fact, they serve as punishment instruments. The further usage of the platform by a worker is often conditional on their ability to contain a minimum rating, no matter what other influences may impact their performance through traffic, weather, or customer discrimination. This puts one under persistent strain of emotional labour, to take unpleasant work, and not to complain by any means. Control is also solidified by incentives and surge pricing. Bonuses are presented as opportunities, but they are specifically formulated in a way that they push workers into working longer hours, at the busiest time or at an unoptimal place. Turning down duties or signing out at the wrong time will imply that he/she will miss out on future incentives. The term deactivation can be defined as the final sanction, which is usually abrupt and does not have any substantial appeal. The constant fear of being denied entry into the platform is a much better way of making people act in order than a classic warning letter would have ever done.
The deception of Liberation in Gig Work
Platform businesses often justify that gig workers are free since they have the choice to turn on and off the platform as well as the work, they are willing to undertake. This freedom is largely a mere illusion. On the one hand, the workers can formally decline a task, but, on the other hand, the frequent declines can result in lower ratings, decreased exposure, or less frequent appointments. Workers are usually forced to change their schedules to fit this platform, and this is because logging in during non-hours means that one will earn a lot less. In this regard, autonomy is procedural and not substantive. The employees are allowed to make their own decisions, but these decisions are highly controlled and coded by the algorithmic systems, which reward compliance and punish nonconformity. The fact that there is no set schedule does not mean that there is no control, it only hides the control.
Why Indian Employment Law Tests are not Sufficient
The Indian employment law has conventionally been based on such tests like control and supervision, integration, as well as economic dependency in order to draw the line between employees and independent contractors. These assessments developed in a time whereby authority was held by direct supervision and directives. This framework is made difficult because of algorithmic management. The argument of platforms is that since they do not control the amount of time working or directly oversee employees, the aspect of control is missing. In implementing the traditional tests, courts can have difficulty in identifying that algorithmic assignment of work, computer monitoring and data-driven appraisal are types of supervision. What this has created is a legal blind spot with a large amount of control in reality but only being unspoken in theory. The fact of the relationship is further covered up by even the language of contracts that underlines independence and entrepreneurship. Traditional legal categories start to disintegrate when control is not part of the managerial commands but of the software.
Redoing Control in the Platform Economy
In order to be relevant, employment law should not be confined to formalistic conceptions of control. Emphasis must be placed on the structure, monitoring and punishment of work rather than on who gives orders. The fact that algorithmic control is automated does not render it any less real and in fact in most respects, it is more invasive in that it remains functional 24 hours round the clock and on a large scale. The Indian law has made some steps in this direction by identifying the categories of so-called platform workers and so-called gig workers under the Code on Social Security, 2020. But these classifications do not go further to the question of deeper concern of power and control. Unless the doctrine tests are reevaluated, such recognition may turn out to be merely symbolic and not transformative. A less obvious solution would look at the dependency on the platform, the unilateral laying of terms, and the aftermath of non-observance within the algorithmic systems. Control has to be perceived as capacity to influence economic results and conditions of work, not the presence of a human overseer.
AMLEGAL REMARKS
The gig economy is built on the argument of freedom and mobility, which do not stand up in further examination. Algorithms are the new masters, and they are no longer in blatant but omnipresent control. Ratings, incentives, and deactivation are not some of the neutral aspects of digital marketplaces; they are the tools of governance. In the case of Indian employment law, the problem is not how to adapt to new modes of work, but how to appreciate the new modes of power. So long as control is redefined to incorporate algorithmic management, gig workers will remain under control like employees but treated as otherwise.
For any queries or feedback, feel free to connect with Hiteashi.desai@amlegals.com or Khilansha.mukhija@amlegals.com