The gig economy, long heralded as a flexible and accessible form of employment, is facing mounting challenges from automation technologies that threaten to disrupt the landscape for both white-collar and blue-collar gig workers. Recent developments suggest that the rise of artificial intelligence (AI) and robotics could substantially reduce demand for many tasks traditionally performed by freelancers and contract workers.

In the white-collar sector, platforms such as Fiverr and Upwork—marketplaces connecting companies with freelancers for tasks like copywriting and graphic design—have reported a marked slowdown in business. Fiverr’s chief executive Micha Kaufman noted a “clear deceleration” in demand during the second quarter of 2024, attributing part of this decline to advancements in large language models (LLMs) that increasingly automate simple project components. Upwork reported a similar trend, with accelerated AI adoption contributing to a drop in client activity on smaller contracts, particularly those valued under $500.

Both companies are attempting to shift focus toward higher-end work that may prove less susceptible to automation, but investor confidence has waned considerably. Over the past year, Fiverr’s stock price has fallen by 61 percent, while Upwork’s has declined by 47 percent.

Automation also poses risks to blue-collar gig roles reliant on physical labor. In China, for instance, one of the country’s largest e-commerce firms recently predicted that its workforce of about 700,000 delivery drivers could eventually be replaced by robots. Meanwhile, drivers in both the United States and China employed by ride-hailing platforms like Uber and DiDi have expressed concern over the prospect of self-driving cars. Uber itself has lobbied for regulations requiring "hybrid networks" that combine human drivers with autonomous vehicles to soften the transition and protect current workers.

This regulatory push may be motivated in part by Uber’s interest in protecting its existing platform model from disruption by purely autonomous ride services. Still, industry leaders warn that widespread deployment of robotaxis could reduce employment opportunities for many drivers who currently depend on gig work as a flexible income source.

Globally, the gig economy serves as an important labor market safety net for millions who have difficulty accessing formal employment. The World Bank estimated that between 154 million and 435 million people worldwide engage in online gig work, accounting for roughly 4.4 to 12.5 percent of the labor force. Research suggests such work can help mitigate income shocks and function as a form of informal unemployment insurance. In China, for example, prolonged economic headwinds and rising factory automation have contributed to a sharp increase in gig employment, with the number of rideshare and food delivery drivers rising by 10 million over two years to an estimated 53 million by 2025.

However, the gig economy’s informal nature means that automation-driven disruptions may unfold quietly, with fewer gigs and declining earnings rather than outright mass layoffs. Data on the impact of autonomous vehicles on driver incomes remain limited, but one study indicated that pay per trip for drivers in U.S. cities with self-driving cars decreased between mid-2024 and mid-2025 relative to other areas.

Some platforms are adjusting to market pressures by implementing new features aimed at monetizing access, such as Upwork's introduction of a paid proposal submission system and options for freelancers to boost visibility. Yet these measures underscore the growing imbalance between worker supply and demand.

Despite the challenges, the gig economy model itself is evolving rather than disappearing. New platforms targeting sectors less amenable to automation—such as healthcare—or leveraging AI to create novel job opportunities have begun to emerge. For instance, some platforms employ professionals like lawyers and journalists to refine AI models, potentially speeding the pace of automation even further.

The gig economy has long been criticized for its lack of worker protections and benefits. Now, with automation steadily encroaching, the system faces a new threat: an erosion of the flexible labor market that many workers rely on, arriving silently and incrementally. Without policy intervention, the risks to gig workers and the broader workforce may only become fully apparent once significant damage has occurred.