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SKN | Nvidia CEO Says AI Will Create Jobs as Trillions in Infrastructure Are Built

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Key Points

  • Nvidia CEO Jensen Huang says artificial intelligence will create jobs due to the massive infrastructure required to support it.
  • The global AI buildout could require trillions of dollars in investment across data centers, chips and energy systems.
  • AI infrastructure development is expected to generate demand for skilled workers such as electricians, engineers and technicians.

Artificial intelligence may generate significant employment rather than eliminating jobs, according to Jensen Huang, the founder and chief executive of Nvidia.

In a recent blog post, Huang argued that AI is quickly becoming a form of critical infrastructure comparable to electricity or the internet. Building and operating the technology behind AI will require an enormous global workforce.

The rapid expansion of AI systems will demand new facilities, computing hardware and power systems, creating what Huang described as one of the largest infrastructure projects in human history.

Trillions Still Needed for AI Expansion

Huang said the global AI industry has only just begun its development phase.

According to him, current investments represent only a few hundred billion dollars, while trillions more will be required to build the full infrastructure needed to support advanced artificial intelligence.

This buildout includes factories to produce specialized chips, large-scale computing systems and massive data centers capable of running complex AI models.

The infrastructure supporting AI must also be redesigned from the ground up because the technology functions differently from traditional software.

AI Depends on a Broad Workforce

Huang emphasized that AI data centers require workers across many industries, not just software engineers.

Jobs tied to AI infrastructure include electricians, plumbers, steelworkers, network technicians and system operators. Many of these positions are highly skilled and well compensated, yet they remain in short supply.

Because of this, the development of AI infrastructure is expected to create employment opportunities across multiple sectors of the economy.

Nvidia at the Center of the AI Boom

Nvidia has emerged as one of the biggest beneficiaries of the current AI surge.

The company dominates the market for specialized AI processors used to train and operate advanced machine learning models. Demand for these chips has surged since the public release of ChatGPT sparked a global race among technology companies to develop AI systems.

As a result, Nvidia’s stock has risen more than 1,300% since 2023, reflecting the central role its hardware plays in the expanding AI ecosystem.

The “Five-Layer Cake” of AI Infrastructure

Huang described the AI ecosystem as a “five-layer cake” consisting of energy systems, AI chips, computing infrastructure, AI models and the applications built on top of them.

Each of these layers requires significant investment and technological development, which explains why the infrastructure expansion is expected to spread across multiple industries and countries.

According to Huang, AI development will not remain concentrated within a handful of technology companies.

Instead, he believes the technology will eventually be adopted by nearly every business and government worldwide.

AI Still Raising Concerns About Job Losses

Despite Huang’s optimism, the rise of AI has already contributed to layoffs across several industries.

Some companies have begun reducing staff as automation tools increase productivity. For example, Block Inc. recently cut a large portion of its workforce, with leadership citing AI-driven efficiencies.

Other firms in sectors ranging from technology to manufacturing have also reduced thousands of positions as they integrate AI systems into operations.

Analysts from Goldman Sachs say the impact of AI on employment has so far been limited but noticeable, with the technology expected to slightly raise the U.S. unemployment rate this year.

Even so, Huang believes the long-term demand for workers supporting AI infrastructure will outweigh the jobs displaced by automation.

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