In the early 2000s, Amazon brought robots called Kiva into their warehouses. Workers grew anxious. Machines were starting to do jobs humans once did. Fast forward to today, and a new kind of technology is stirring similar fears. Generative AI, like ChatGPT, is changing many industries. It’s not just automating tasks; it’s transforming how work is done.
Unlike past tech changes, gen AI affects all job sectors. It learns and improves over time. This means its impact goes beyond simple job replacement. Recent research explores how gen AI is already affecting the labor market, especially online freelancers. The findings are clear: significant short-term job loss is happening. Jobs that can be automated, like writing and coding, are most affected.
The Rise of Gen AI and Its Immediate Effects
Researchers analyzed over 1.3 million job posts from a global online freelancing platform. They looked at data from July 2021 to July 2023. Online freelancing platforms are ideal for spotting trends. The work is digital, task-based, and flexible.
The study focused on two types of gen AI tools: ChatGPT and image-generating AI like Midjourney and DALL-E 2. The goal was to see if these tools reduced demand for certain jobs. If so, which jobs were most affected?
Jobs were grouped into three categories:
- Manual-Intensive Jobs: Tasks like data entry, video editing, and audio services.
- Automation-Prone Jobs: Roles in writing, software development, and engineering.
- Image-Generating Jobs: Jobs in graphic design and 3D modeling.
The results showed a sharp drop in job posts after these AI tools were introduced. Automation-prone jobs were hit the hardest.
Job Replacement: The Numbers Tell the Story
After ChatGPT came out, there was a 21% decrease in posts for automation-prone jobs compared to manual jobs. Writing jobs saw the biggest drop—a 30% decrease. Software, app, and web development jobs fell by over 20%. Engineering jobs declined by about 10%.
A similar decline happened after image-generating AI tools were launched. Within a year, graphic design and 3D modeling jobs decreased by 17%. Over time, there were no signs of demand rebounding. The downward trend continued.
These declines are significant. They are larger than what was seen with past automation technologies. For example, when robots were adopted in French manufacturing, a 20% increase in robots led to only a 3% decline in employment.
More Competition, Fewer Opportunities
As demand dropped, competition among freelancers increased. The average number of bids per job in automation-prone categories rose by nearly 9% after ChatGPT was introduced. This means more freelancers are competing for fewer jobs.
This intense competition can make it harder for freelancers to find work. Employers might also start to see freelancers and AI tools as interchangeable. This could further reduce job opportunities in the short term.
Public Interest Mirrors Job Decline
The study also looked at Google search trends. After ChatGPT’s release, searches related to automation-prone jobs increased. Writing and engineering showed the highest search interest. Manual-intensive tasks, like audio and video services, didn’t see such spikes.
There was a negative link between search interest and job posts. Industries with more public interest in gen AI saw larger declines in job demand. This suggests that as more people learn about AI’s capabilities, employers may be more likely to use these tools instead of hiring freelancers.
Jobs Are Changing: More Skills and Higher Pay
Interestingly, the complexity of automation-prone jobs increased after ChatGPT’s launch. These jobs required more skills. Employers were also willing to pay more for them—about 6% more.
This suggests that while some jobs are disappearing, others are evolving. They may require a broader skill set and offer higher pay. Workers who can adapt and learn new skills may find new opportunities.
The Growing Demand for AI Skills
Job posts that mentioned “ChatGPT” in their skill requirements increased. After ChatGPT’s release, there were 903 job posts listing it as a required skill. Most of these jobs—over 88%—were in automation-prone categories. The majority, 82%, were in software, app, and web development.
This trend shows that employers value the ability to use AI tools. Workers are updating their skills to include gen AI capabilities. Reskilling is becoming essential in this changing job market.
What Companies Can Do
The impact of gen AI on jobs is fast and significant. Companies need to navigate this new landscape carefully.
Communicate Openly with Employees
Transparency is key. Companies should talk to their employees about how AI will change work. While some job loss may happen, clear communication can reduce uncertainty. It can foster a culture of adaptability. Workers will be better prepared for changes.
Industries at high risk of automation should act now. They should explain how AI will be used and for what purposes. Reassuring employees about their value is important.
Invest in Upskilling and Reskilling
AI offers opportunities to enhance jobs and increase productivity. Jobs requiring AI skills are on the rise. Companies should focus on building a workforce with diverse skills that adapt to these changes.
Employees need to engage in continuous learning. AI shifts work away from routine tasks to those requiring human judgment. Workers who can adapt will be more valuable.
Research shows that AI integration boosts productivity across skill levels. The biggest gains are seen among low-wage workers. This highlights the strategic value of investing in AI training.
Managers should focus on equipping low-wage workers with AI tools. Developing supportive training programs is essential.
Address Skill Gaps and Inequalities
Studies show a gender gap in AI tool usage. Women are less likely to adopt ChatGPT in the same occupations. This highlights the need for tailored training programs. Companies should ensure equal access to AI advantages for all employees.
Simply providing access to AI isn’t enough. Companies should invest in job-related training. This helps employees use these tools effectively.
Develop New Management Skills
Managers need new competencies. Understanding which tasks to assign to AI and which to humans is crucial. This will maximize efficiency while preserving human creativity and oversight.
As AI takes on more routine tasks, managers must lead teams in new ways. They should leverage the strengths of both humans and machines.
Embrace AI for Growth and Innovation
In the long run, companies that invest in their workforce will thrive. By helping employees adapt, businesses can stay competitive. The focus should be on enhancing human potential, not just replacing it.
Conclusion: Adapting to a Gen AI World
Gen AI is reshaping the job market. It’s automating tasks and changing how work gets done. Companies and workers need to adapt.
By investing in skills and embracing AI, businesses can turn challenges into opportunities. Workers who learn to work with AI will find new roles. The key is to focus on growth, learning, and innovation.
Managers who embrace this mindset will help their teams navigate new technology. They’ll drive long-term growth and innovation in their organizations.
Sources
- Demirci, Ö., Hannane, J., & Zhu, X. (Forthcoming). The Impact of Generative AI on Online Labor Markets. Management Science.
- Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.