The tech industry has recently witnessed a sharp uptick in investments directed towards artificial intelligence (AI) infrastructure. This has sparked concerns over the possibility of a new bubble emerging. In reaction to these worries, executives at Meta have asserted that, despite the substantial scale of investments, the overall scenario is manageable and grounded in reason. Meta is projected to allocate $72 billion to AI infrastructure this year, with additional increments planned for 2025. CEO Mark Zuckerberg expressed his preference for taking the gamble of "investing hundreds of billions of dollars more" rather than risking being left behind in the fierce competition for superintelligence.

Alex Schultz, Meta's Chief Marketing Officer and Vice President of Analytics, highlighted that, when gauged by the industry's aggregate market capitalization or revenue share, the current magnitude of AI investment is "far from excessive." A research report issued by Goldman Sachs in October echoes this sentiment, noting that current AI-related investments in the U.S. represent less than 1% of GDP. This figure is significantly lower than the 2%–5% observed during the peak periods of technological booms, such as the railway expansion era.

Schultz underscored that Meta's AI investments have directly yielded commercial benefits, with AI technology substantially enhancing advertising delivery and content recommendation systems. The company anticipates its full-year revenue for 2025 to reach approximately $200 billion, with a current market capitalization hovering around $1.5 trillion.

In addition to Meta, other tech giants like Amazon, Google, Microsoft, and OpenAI have also set new benchmarks for capital expenditures in AI-related domains. These investments span areas such as chip development, data center construction, and offering high salaries to lure top-tier talent.