Andrew Ng: AI Won’t Cause a Wave of Job Loss—It Will Spark a Wave of Job Creation
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Andrew Ng: AI Won’t Cause a Wave of Job Loss—It Will Spark a Wave of Job Creation
Now is a great time to encourage more people to learn AI and prepare for the diverse yet abundant jobs of the future.
Navigating Web3 tides with focused insightsAuthor: Andrew Ng
Translated by: TechFlow
TechFlow Intro: In his latest article, Andrew Ng directly counters the narrative of “AI causing mass unemployment.” His central argument is that software engineering—the industry most affected by AI—still shows strong hiring demand, and the U.S. unemployment rate remains at a healthy 4.3%. AI labs, SaaS companies, and firms carrying out layoffs all have incentives to exaggerate AI’s displacement potential. The value of this article lies in its authorship: someone who has both driven AI advancement and long championed AI education and public understanding.
There will be no AI unemployment apocalypse.
The story that “AI will cause mass unemployment” is generating unnecessary panic. Like any technology, AI affects employment—but blowing the “mass unemployment” narrative out of proportion is both irresponsible and harmful. It’s time to stop.
I’ve previously expressed skepticism about the “AI unemployment apocalypse.” The good news is that mainstream media are now also pushing back against this narrative. Below is a compilation of recent headline titles.
Software engineering is the field most impacted by AI tools, with coding agents leading the way. Yet demand for software engineers remains robust. While there are indeed cases where AI replaces jobs, the clear trend is that AI creates far more jobs than it eliminates—just as with every prior wave of technological advancement. Moreover, despite AI’s rapid progress, the U.S. unemployment rate remains at a healthy 4.3%.
Who Is Promoting the “AI Unemployment Apocalypse” Narrative?
Why does the “AI unemployment apocalypse” narrative resonate so widely?
First, cutting-edge AI labs have strong incentives to tell stories that make AI sound extraordinarily powerful. The most extreme version involves AI “taking over the world” or triggering human extinction—a sci-fi scenario. The logic is simple: if a technology can replace large numbers of workers, then that technology must be extremely valuable.
Second, many SaaS companies price their products between $100 and $1,000 per user per year. But if an AI company can replace a $100,000-per-year employee—or boost that employee’s productivity by 50%—then charging $10,000 annually suddenly seems reasonable. The pricing anchor shifts from SaaS subscription fees to employee salaries, enabling AI companies to command much higher prices.
Third, companies themselves have incentives to frame layoffs as AI-driven. After all, “We improved efficiency using AI, so we streamlined our workforce” sounds far better than “We overhired during the pandemic when capital was cheap.” The latter reflects the true cause: excessive hiring fueled by low interest rates and massive government fiscal stimulus.
This Is Not an Unemployment Apocalypse
I acknowledge that AI is transforming many people’s jobs. That’s difficult—and anxiety-inducing. (For some, it may even be exciting.) I empathize deeply with everyone affected. But changes in job content are entirely different from predicting a collapse of the labor market.
Societies can sustain a narrative for years—even one with little grounding in reality—and then make poor collective decisions based on it. For example: fear of nuclear safety led to severe underinvestment in nuclear power; panic over the “population bomb” in the 1960s prompted multiple countries to adopt stringent population control policies; concern over dietary fat led governments to promote high-sugar, unhealthy diets for decades.
Mainstream media are now openly questioning the “AI unemployment apocalypse” narrative. I hope such stories gradually lose influence—just as the alarm over “AI causing human extinction” is slowly fading.
Not an Unemployment Apocalypse—An Employment Boom
My prediction is precisely the opposite: we’re heading into an AI employment boom. AI will generate a large number of high-quality AI engineering roles, and I’m optimistic about the overall labor market’s future. What AI engineers do will differ from traditional software engineering, and many new roles will emerge outside traditional large tech employers. Even non-AI roles will require updated skill sets shaped by AI. Now is the ideal time to encourage more people to learn AI and prepare for those abundant—though different—future jobs.
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