At the G20 summit, tech leaders set their sights on the "electricity" and "human resources" bottlenecks in AI infrastructure!

The biggest obstacle to building AI infrastructure is shifting from computing power to electricity .

At the G20 Science and Technology Ministers' Meeting, Musk and Zuckerberg appeared together in a rare joint statement, warning global policymakers that a shortage of skilled workers and insufficient power supply are becoming two major bottlenecks hindering the development of AI.

The power crisis is particularly pressing. A Wall Street Journal article noted that Musk explicitly stated a significant shortage could occur as early as next year, with the power gap for AI chips reaching at least 15 gigawatts by 2027. Meanwhile, Zuckerberg acknowledged that Meta is currently facing a shortage of skilled workers, with the "hundreds of thousands, or even millions," of skilled positions needed for data center construction proving difficult to fill.

Analysts believe this warning has direct and profound implications for the market: competition for AI infrastructure investment has expanded from chips and data centers to power generation and energy infrastructure. Musk revealed that companies like Google and Anthropic have begun leasing computing power to SpaceX, primarily because SpaceX has solved its power supply problem by building its own power plants. This signifies that energy self-sufficiency is becoming a new dimension of competition in AI .

The conference, held on September 1st in Chapel Hill, North Carolina, focused on the opportunities and impacts of AI. According to Reuters, both Musk and Zuckerberg called for accelerating the construction of AI data centers, and Demis Hassabis, CEO of Google's DeepMind, also spoke via video, comparing the potential impact of AI to "10 times that of the Industrial Revolution."

Power Crisis: AI Chip Growth Far Exceeds Grid Expansion

Musk issued his most specific warning to date about the energy bottleneck of AI at the conference.

An article on Wall Street Insights states that Musk, citing analyst consensus estimates, points out that AI chips are expected to face a power shortage of at least 15 gigawatts by 2027. The fundamental contradiction lies in the severe imbalance in growth rates: AI chip production capacity is growing by approximately 40% to 50% annually, while available power supply outside of China is only growing by about 10% to 20% annually.

"Clearly, things that grow faster will eventually overwhelm things that grow slower," Musk stated regarding this structural contradiction.

Musk also revealed that several companies, including Google and Anthropic, are leasing computing power from SpaceX because SpaceX solved its power supply bottleneck by building its own power plants, enabling rapid expansion. He stated that his companies are building the necessary power generation facilities alongside their data centers.

Human resource bottleneck: Data center construction faces a shortage of skilled workers

Beyond electricity, the shortage of skilled labor is another real dilemma facing tech giants.

In a video conference, Zuckerberg stated that the demand for AI data center construction is enormous, potentially requiring "hundreds of thousands or even millions" of skilled technical jobs in the future. He frankly stated that Meta is currently facing the problem of not being able to find enough skilled workers to build data centers , a challenge that is not a long-term risk but a constraint that is happening right now.

This statement, along with Musk's warning about electricity, outlines the dual bottlenecks in the expansion of AI infrastructure: the power supply at the hardware level, and the talent supply at the software and construction level. Both point to the same conclusion—the speed of AI development is exceeding the carrying capacity of the existing infrastructure system.

Regulatory Disagreements: Musk Criticizes the European Model

Beyond infrastructure issues, differences in the regulatory environment also became a focal point of contention at this meeting.

According to reports, Musk criticized Europe's overly strict technology regulations at the conference, arguing that innovation should develop in a more relaxed regulatory environment. He advocated that new technologies should be " legal by default " rather than "illegal by default," and stated that while European regulations cannot stop technological development, they do significantly slow down the pace of innovation.

This stance echoes the policy tone within the United States. Trump's earlier criticism of those opposing the construction of AI data centers as "backward and poor" reflects the overall inclination within the US political sphere to accelerate the development of AI infrastructure.

However, the tech giants' strong push has not been without resistance within the United States.

Polls show that most Americans oppose building more data centers in the area, primarily concerned with rising electricity costs and noise pollution—a policy paradox that Musk has warned of: solving the power shortage requires massive construction, which itself is facing public resistance.

Economic Vision: AI Could Add Over $20 Trillion to the Global Economy Annually

Despite numerous bottlenecks, technology leaders remain highly optimistic about the long-term economic value of AI.

An article on Wall Street Insights states that Musk estimates AI could increase the global economy by 20% to 30%, equivalent to an annual increase of approximately $20 trillion to $30 trillion . He characterized this prediction as a "rough estimate," but also stated that it was a prediction he was "willing to bet heavily on."

DeepMind CEO Demis Hassabis described the potential impact in a more macro context, stating that once human-level AI is achieved, its impact could be 10 times that of the Industrial Revolution, but emphasized that countries must promote development in a responsible manner.

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