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Generative AI and the Labor Market: Is It Causing Job Loss?

By Adam Pease

Generative AI and the Labor Market: Is It Causing Job Loss?

New reports are emerging from a variety of different organizations that suggest generative AI might be impacting the labor market already, leading to new layoffs. This blog discusses the news and what AI means for the labor market.

Is Generative AI Causing Job Loss?

For the first time, new labor reports are citing artificial intelligence as a reason for job losses for American workers. This comes on the heels of generative AI’s rise and the growing popularity of OpenAI’s ChatGPT as a productivity tool.

Early reports suggest that marketing departments are being hit the hardest as business leaders look to old processes, like the generation of social media copy, and leverage tools like large language models to greatly speed up these workflows.

AI and the Future of Work

Aragon does expect that the rise of generative AI will cause friction in the labor market, but while some jobs may be lost, other new ones will likely emerge. Additionally, knowledge workers in organizations that take advantage of AI effectively will be more empowered to focus on the parts of their jobs that leverage their unique creative and organizational skills, rather than more redundant work processes that are easier to automate.

The overall financial benefits of generative AI could also provide a major boon to the overall economy, creating a financial windfall that could create new job. While it does have major transformative potential for organizations, it’s important to remember that this emerging technology is not a full replacement for human work; effective deployments  require humans in the loop to fully take advantage of AI capabilities.

And at the same time, workers and market analysts should be aware that the rise of AI might provide a convenient excuse for layoffs that might have happened anyway given a rocky economic climate.

Bottom Line

Generative AI is sure to continue to shake up the labor market, but whether this means there will be growing job loss or a new set of occupations geared towards working with generative AI remains to be seen. Aragon Research expects that this disruptive technology will continue to transform the way work gets done into the foreseeable future.


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This blog on is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Blog 23: OpenAI Introduces Code Interpreter Plugin for ChatGPT

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