Author: Andrew Ng
Compile: DeepOcean TechFlow
DeepInsight Summary: Andrew Ng’s latest article directly challenges the narrative that AI will cause mass unemployment. His core argument is that while software engineering is the industry most affected by AI, hiring demand remains strong, and the U.S. unemployment rate stays at a healthy 4.3%. AI labs, SaaS companies, and firms conducting layoffs each have incentives to exaggerate AI’s substitution capabilities. The value of this article lies in its origin—from someone who has both advanced AI development and long championed AI education accessibility.
There will be no AI-induced job apocalypse.
The narrative that "AI will cause mass unemployment" is generating unnecessary panic. AI, like any technology, will impact employment—but blowing this narrative into claims of mass unemployment is both irresponsible and harmful. It’s time to stop.
I previously expressed skepticism about the "AI unemployment doomsday." The good news is that mainstream media are now beginning to push back against this narrative. The image below compiles some recent article headlines.
Software engineering is the field most impacted by AI tools, with coding agents leading the way. However, demand for software engineers remains strong. While there are indeed cases of AI replacing jobs, the clear trend shows that AI is creating far more jobs than it eliminates—just like previous waves of technological advancement. Moreover, despite exciting advances in AI, the U.S. unemployment rate remains at a healthy 4.3%.
Who is promoting the "AI job apocalypse"?
Why is the "AI Job Apocalypse" narrative so popular?
First, leading AI labs have strong incentives to tell stories that make AI sound incredibly powerful. The most extreme version is the sci-fi scenario in which AI takes over the world and leads to human extinction. The logic is simple: if a technology can replace large numbers of workers, then it must be extremely valuable.
Second, many SaaS companies price their services between $100 and $1,000 per user per year. However, if an AI company can replace an employee earning $100,000 annually or increase their productivity by 50%, charging $10,000 per year seems reasonable. By shifting the anchor point from SaaS pricing to employee salary, AI companies can justify significantly higher prices.
Additionally, companies themselves have an incentive to attribute layoffs to AI. After all, “We increased efficiency with AI, so we streamlined our workforce” sounds far better than “We hired too many people during the pandemic when capital was cheap.” The real reason for the latter is excessive hiring driven by low interest rates and massive government fiscal stimulus.
This is a completely different matter from joblessness doomsday.
I acknowledge that AI is changing the work of many people. It’s difficult and can be anxiety-inducing. (For some, it might even be interesting.) I understand everyone affected. But a change in job content is entirely different from predicting a collapse of the job market.
Societies are capable of sustaining a story for years, even if it lacks a solid basis in reality, and making poor collective decisions based on it. For example: fear of nuclear power safety has led to severe underinvestment in nuclear energy; panic over the “population bomb” in the 1960s prompted multiple countries to implement strict population control policies; and concerns about dietary fat led governments to promote high-sugar, unhealthy diets for decades.
Mainstream media is now beginning to openly question the "AI unemployment doomsday" narrative, and I hope these stories will gradually lose influence, just as the panic over "AI causing human extinction" fades away.
Not a doomsday of unemployment, but a celebration of employment
My prediction is the opposite: there will be an AI employment boom. AI will create a large number of high-quality AI engineering roles, and I’m also optimistic about the future of the overall job market. The work of AI engineers will differ from traditional software engineering, and many new roles will emerge at companies outside conventional large tech employers. Skills required for non-AI roles will also change due to AI. Now is the perfect time to encourage more people to learn AI and prepare for the different but abundant jobs of the future.