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From Boom to Bust: Is Generative AI Killing Freelance Work?

Generative AI is transforming industries, and the online freelance market is no exception. Recent research explores the immediate effects of tools like ChatGPT and AI-driven image generators on freelance job opportunities. By analyzing job postings on a major freelancing platform, the study reveals a striking decline in demand for roles in writing, software development, and graphic design.

At the same time, competition among freelancers has intensified, with more professionals vying for fewer opportunities. However, it’s not all doom and gloom — there’s a rising need for expertise in AI integration, opening doors for those who can adapt.

Impact of Generative AI on the Online Labour Market

Generative AI is already having a significant impact on the online labour market, particularly for jobs that are prone to automation, such as writing and coding.

  • Research using data from a leading global online freelancing platform found that the introduction of generative AI tools, like ChatGPT and image-generating AI, led to an almost immediate decrease in job posts across various job types.
  • The decline was particularly noticeable for automation-prone jobs. For example, after ChatGPT was introduced, there was a 21% decrease in weekly posts for these types of jobs compared to manual-intensive jobs.
  • Writing jobs experienced the most significant impact, with a 30.37% decrease, followed by software, app, and web development (20.62%) and engineering (10.42%).
  • Similarly, the introduction of image-generating AI tools led to a 17.01% decrease in demand for graphic design and 3D modelling freelancers within a year.

This decrease in demand for certain types of jobs is likely due to the increasing awareness and interest in using generative AI tools. The study found a negative correlation between the Google search volume index for different job categories and the number of jobs posted, indicating that industries with higher public awareness of generative AI's potential experienced a larger decline in freelancer demand.

However, the rise of generative AI is not just leading to job displacement, it's also changing the nature of work and creating new opportunities.

  • The study found that the complexity of automation-prone jobs increased after the introduction of ChatGPT, as did the willingness of employers to pay for these jobs.
  • This suggests that while AI can automate certain tasks, it is also creating a demand for higher-level skills and expertise in using these tools.
  • This is further evidenced by the increasing number of job posts that specifically require skills in using ChatGPT.

Overall, the impact of generative AI on the online labour market is complex and multifaceted. While it is leading to job displacement in certain areas, it is also driving the demand for new skills and creating new opportunities. As generative AI continues to evolve, it is crucial for workers to adapt and develop the skills needed to thrive in this changing landscape.

Generative AI's Impact Compared to Traditional Automation

The study provides evidence suggesting that the impact of generative AI on online labour markets is greater and happening more rapidly than that of traditional automation technologies.

  • The research found that the introduction of generative AI tools, like ChatGPT and image-generating AI, led to an almost immediate decrease in job posts for online freelance work across a variety of job types.
  • This impact was far more significant than the impact observed with the introduction of robotic automation in traditional labour markets. For instance, a study found that a 20-percentage-point increase in robot adoption in French manufacturing only resulted in a 3.2% decline in industry employment.
  • In contrast, the introduction of ChatGPT caused a 21% decrease in weekly posts for automation-prone jobs compared to manual-intensive jobs on the online freelancing platform studied.
  • This difference in impact is likely due to the unique capabilities of generative AI. Unlike traditional automation technologies, which are typically designed to automate specific tasks, generative AI has the potential to automate a much wider range of tasks, and to improve its capabilities over time.
  • This means that generative AI can potentially impact all job sectors, not just those that are heavily reliant on manual labour.

These findings suggest that generative AI is having a more rapid and widespread impact on online labour markets than traditional automation technologies, and that this impact is likely to continue to grow in the future.

Conclusion

There’s no denying the decline in demand for traditional freelance tasks like writing, software development, and graphic design. Yet, as opportunities emerge for those skilled in AI integration, actionable advice remains elusive. While upskilling in AI tools is a prudent step, it’s crucial to remember that these studies reflect past developments in a field advancing at breakneck speed.

The real challenge lies ahead: as AI evolves toward autonomous agents capable of automating even more complex tasks, the ripple effects will only intensify. The question isn’t just how to stay competitive now, but how to future-proof your career in an era of rapid, unpredictable change. So, what’s your next move?

Photo by Marc Mueller

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