Global spending on artificial intelligence and data centers is projected to reach $30 trillion by 2050, according to a report by PwC. This massive investment is comparable to the value of outstanding US Treasuries. The spending on AI and data centers is expected to have a significant impact on the global economy, with many experts predicting that it will lead to increased productivity and innovation. However, some economists have raised concerns about the sustainability of AI valuations and the potential for a bubble.
One of the major firms driving this investment is Anthropic, which plans to spend $518 billion in the coming years. This is more than 100 times its 2025 revenue, according to its IPO prospectus. Anthropic's backers believe that AI technology will be more transformational than the advent of steam engines and the industrialization they powered. However, economists have noted that there is little evidence to support the idea that AI will deliver the promised productivity gains. JP Morgan wrote in August that broad-based productivity gains in the US "remain elusive", raising questions about the sustainability of AI valuations.
A study by Bain & Company found that productivity gains from existing markets would not be enough to justify current outlays, and that entirely new markets must emerge to close the funding gap. The study suggested that these new markets could range from using AI-guided robots to developing new materials for batteries and semiconductors. US hyperscalers, such as Google, Amazon, and Microsoft, and others in the AI race, need to find more than $4.2 trillion of new revenue in the next five years to fund the buildout.
Economists have noted that historical precedent suggests that technology-driven booms often end when infrastructure buildouts cease to deliver sufficient returns. Using the example of Nvidia, the US company whose chips are the backbone of the AI revolution, JP Morgan estimated that US productivity gains would need to be 3% to 5% annually over the next 10 years to justify its valuation. This would be a substantial increase from the baseline expectation of the US Congressional Budget Office of 1.75% annual productivity growth for that period.
For the US alone, investment in AI is expected to run as high as about $9 trillion from 2025 to 2032, equivalent to spending 3.2% of US GDP each year. According to Columbia Business School economist Stijn Van Nieuwerburgh, the US AI sector would need to generate about $3.55 trillion in annual revenue by 2032 to earn a 10% return on investment. Currently, it earns a fraction of that.
Despite the uncertainty surrounding AI investments, some researchers believe that the technology has the potential to transform the economy. Anthropic's Dario Amodei has said that an AI future could be "a thing of transcendent beauty", while OpenAI's Sam Altman has said that "the rate of new wonders being achieved will be immense" as models learn to improve themselves and accelerate breakthroughs.
However, some experts have raised concerns about the potential risks associated with AI, including the possibility of job displacement and existential risks to humanity. Studies have pointed to a slowdown in early career hiring for white-collar positions performing tasks at which AI is adept, even if overall employment remains strong. Diane Coyle, an economist at Britain's Cambridge University, noted that the productivity impact of past revolutionary technologies had usually taken about 10 to 50 years to feed through.
Key points
- Global spending on AI and data centers is projected to reach $30 trillion by 2050.
- Anthropic plans to spend $518 billion in the coming years, more than 100 times its 2025 revenue.
- Economists have raised concerns about the sustainability of AI valuations and the potential for a bubble.
