Global artificial intelligence stocks fell this week after several leading AI executives called for a slower approach to the development of advanced AI systems.
The latest market decline came after Anthropic CEO Dario Amodei called on AI companies to slow the pace of development and give more time to safety testing. OpenAI CEO Sam Altman and xAI chief Elon Musk have also supported greater caution around the development of increasingly powerful AI models.
The comments have raised concerns among investors about what a slower pace of AI development could mean for the huge amounts of money being spent on chips, data centers and other AI infrastructure.
AI Chip Stocks See Sharp Declines
AI-related semiconductor stocks were among the biggest fallers on September 14. The Philadelphia Semiconductor Index dropped 5.2%. Nvidia shares fell more than 3%, while AMD dropped about 4.5% and Micron fell more than 5%.
Shares of companies that supply equipment for chip manufacturing also fell. Applied Materials and Lam Research were among the companies that recorded declines of more than 6%.
The decline was not limited to the U.S. European technology stocks also fell, while several major technology and semiconductor companies in Asia came under pressure. The move showed how closely stock markets have become linked to expectations for continued AI spending.
AI leaders call for more time to test advanced systems
The latest debate began with Amodei’s September 12 essay, titled “We Must Pace the Frontier.” Amodei said AI companies should give more time to safety testing as their systems become more capable. He argued that safety work needs to keep up with the speed at which AI models are improving.
He also called for independent experts to have greater access to AI systems. According to Amodei, outside evaluators could help identify safety problems and assess how companies are handling them.
Anthropic has said it will give independent evaluators access to its systems so they can examine the company’s safety work. Altman has also backed independent testing. He has previously warned that more advanced AI systems could create serious risks if they are not developed carefully.
AI Spending Has Reached Hundreds of Billions of Dollars
The concerns matter to investors because AI development has created a huge demand for computing equipment. Amazon, Microsoft, Alphabet and Meta are expected to spend about $630 billion on data centers and AI chips in 2026, according to Morgan Stanley estimates reported by Reuters.
That money goes into servers, AI chips, networking equipment, data centers and other infrastructure needed to run AI systems. Nvidia has benefited from this spending because its graphics processing units, or GPUs, are widely used to train and run AI models.
A slowdown in AI development could therefore affect many companies that supply equipment and services to the industry.
However, slower development of new AI models would not necessarily mean that companies stop building data centers. Existing AI services still need large amounts of computing power. Companies are also using AI for areas such as search, coding, advertising and customer service.
Data Centers Remain A Major Part of AI Investment
The rapid growth of AI has also increased demand for new data centers. PwC and Oxford Economics estimate that global data-center capital spending could reach $31.6 trillion between now and 2050 under their central forecast.
AI is one of the factors behind this expected growth. Advanced AI models require large amounts of computing power, which means companies need more servers and larger data centers. These facilities also require large amounts of electricity and cooling.
This has created new business opportunities for companies involved in semiconductors, power generation, networking, construction and data-center equipment. A slowdown in AI model development could affect some future infrastructure projects, but demand for computing capacity could continue to rise as existing AI products become more widely used.
Not Every AI Executive Supports a Slowdown
The idea of slowing AI development does not have support across the entire technology industry. Meta CEO Mark Zuckerberg said this week that AI companies already have strong reasons to develop their systems safely.
Zuckerberg pointed to Meta’s own work on AI safety and said companies can delay the release of systems when they identify security problems. Meta recently delayed the release of its Muse AI agent while it worked on security issues.
Nvidia CEO Jensen Huang has also continued to support the rapid development of AI. His position reflects the importance of continued AI investment to the semiconductor industry.
The different views show that AI companies are still divided over how quickly the technology should move forward.
AI Investment Continues Despite the Market Fall
The recent drop in AI stocks does not mean that the industry’s investment boom has ended. Major technology companies are still spending large amounts of money on AI infrastructure.
The scale of this spending explains why comments from AI executives can quickly affect stock prices. Investors are trying to work out whether the current concerns will lead to small changes in development plans or a much wider slowdown in AI investment.
So far, there is no clear evidence that the biggest technology companies have abandoned their AI infrastructure plans.
