The Impact of AI on the Gig Economy

The gig economy has been a growing trend in recent years, offering workers flexibility and independence through short-term or temporary contracts facilitated by online platforms. However, with the rise of artificial intelligence (AI), there is a growing concern among gig workers that their roles could be replaced by AI technology. This fear is not unfounded, as AI has already started to replace certain roles in various industries, including call centers and scriptwriting in the entertainment industry.

IBM’s Arvind Krishna has stated that the company will use AI to replace some non-client-facing roles, while call centers are increasingly relying on AI chatbots to handle customer inquiries. In the entertainment industry, writers and actors have protested against the use of AI in scriptwriting, highlighting the perceived threat from the growing influence of AI in all industries.

The gig economy and AI are two interrelated influences on the future of work. The gig economy provides flexibility and independence for workers, but it also poses challenges such as job insecurity and lack of benefits. With the projected gross volume of the gig economy reaching US$455 billion in 2023, the impact of AI on gig workers is a pressing issue that needs to be addressed.

AI can enable gig economy workers to do more work in a set time, wherever and whenever they want. Freelancers can leverage AI tools to complete tasks more efficiently, allowing them to take on multiple projects and maximize their income. While not all gig economy jobs can be replaced by AI, the technology offers workers options in the type of work they choose and how they manage their time.

However, there are concerns that companies may choose to use AI internally, reducing their reliance on freelance gig workers. Organizations can invest in AI tools to increase productivity and efficiency in creative output, potentially displacing gig workers in design and content writing roles. Additionally, AI investment in autonomous vehicles for ride-hailing and food delivery companies could further reduce the need for gig economy drivers.

Despite the potential disruptions caused by AI in the gig economy, it is not necessarily game over for gig workers. They can find ways to use AI technology to their advantage, such as improving their skills and adapting to the changing landscape of work. As innovations in AI continue to disrupt the gig economy, it is essential for gig workers to stay informed and proactive in leveraging technology to enhance their work opportunities.