AI Boom Will Not Take Away Your Jobs: Jensen Huang

Jensen Huang is pushing back against fears that artificial intelligence will wipe out jobs, arguing instead that the technology could generate millions of new roles as companies race to build the infrastructure needed to power the AI era.

In a recent blog post, Huang described AI as “essential infrastructure, like electricity and the internet,” adding that the systems required to run the technology — from semiconductor manufacturing facilities to data centers — are shaping up to become one of the largest infrastructure buildouts in human history.

Despite the hundreds of billions of dollars being thrown into AI infrastructure, Huang says that the AI industry is still in its nascent stage and that it still needs trillion dollars of construction and development.

That massive "construction" will require a wide range of skilled workers to build, operate and maintain the physical systems behind artificial intelligence, thus the rise in position for experts to fill them.

Huang noted that data centers alone require electricians, plumbers, steelworkers, network technicians and operators to construct and manage the facilities, with many of these positions being high paying roles that are short in supply.

He also suggested that the global race to deploy AI infrastructure could create a wave of new employment opportunities across multiple industries.

Huang's company, Nvidia, has emerged as one of the biggest beneficiaries of the AI boom. The company dominates the market for AI chips, and its stock has surged more than 1,300% since 2023, shortly after the release of ChatGPT triggered a global surge in demand for artificial intelligence tools.

The AI paranoia has emerged after more and more companies across different industries has now initiated large-scale layoffs, pointing to automation as the main reason for the move.

Payments company Block Inc. cut around 40% of its staff earlier this year, with co-founder Jack Dorsey attributing the move partly to increased use of AI. Meanwhile, companies such as Pinterest and Dow have collectively shed more than 5,000 jobs, replacing its manpower with AI.

Despite those layoffs, analysts at Goldman Sachs say AI-driven job losses so far appear “visible but moderate,” estimating that the technology could nudge the US unemployment rate slightly higher from about 4.4% to 4.5% by the end of the year.

Huang describes AI ecosystem as a “five-layer cake”

Huang also outlined what he calls a “five-layer cake” of AI infrastructure, describing the interconnected systems required to power modern artificial intelligence.

According to Huang, the first layer is energy, which powers the massive computing systems needed for AI workloads. On top of that sits AI chips, followed by the broader infrastructure layer that includes data centers, servers and networking equipment. The next layer consists of AI models, and finally the applications that consumers and businesses interact with.

Huang said the infrastructure supporting AI has had to be reinvented from the ground up, because traditional software systems primarily retrieve stored instructions while AI systems are designed to reason and generate intelligence on demand.

Because of this shift, much of the infrastructure needed to support large-scale AI has yet to be built, and the workforce required to maintain it has not yet been fully trained.

“This is why the buildout is so large. This is why it touches so many industries at once. And this is why it will not be confined to a single country or a single sector. Every company will use AI. Every nation will build it.”