Calls to slow AI development rattle technology stocks

Yesterday 16:42

By: Azzat Manal

Calls to slow AI development rattle technology stocks

Technology and semiconductor shares came under pressure on Monday after a series of warnings from leading artificial intelligence executives raised concerns about the risks associated with the rapid expansion of advanced AI systems.

The sell-off followed calls from executives including Anthropic CEO Dario Amodei for technology companies to moderate the pace at which they develop increasingly capable AI models. OpenAI CEO Sam Altman and xAI founder Elon Musk have also expressed support for greater caution, adding to investor concerns about the sustainability of the current AI investment boom.

Nasdaq futures fell sharply during Asian trading, while SoftBank, one of OpenAI's major investors, dropped as much as 13.2% in Japan. The decline reflected concerns that tighter safety requirements or a slower pace of model development could affect expectations for future AI-related spending.

Chipmakers were also affected. Kioxia initially fell nearly 10%, while Tokyo Electron declined more than 3% in Tokyo. Taiwan Semiconductor Manufacturing Company slipped in Taipei, while South Korea's SK Hynix and Samsung Electronics also recorded significant losses. Semiconductor companies in mainland China and Hong Kong likewise experienced declines.

The market reaction highlights the growing importance of AI to global technology valuations. Since the launch of ChatGPT in 2022, investor enthusiasm surrounding generative AI has driven major gains across companies involved in computing, chips, cloud infrastructure and data centers.

However, concerns over the sector have intensified in recent months. Investors are increasingly questioning whether the enormous amounts of capital being allocated to AI infrastructure will ultimately produce sufficient returns, particularly if demand fails to keep pace with expectations.

Amodei has been among the most outspoken technology executives on the potential dangers of increasingly autonomous AI systems. He has warned that AI agents could become capable of carrying out highly disruptive activities, potentially causing major economic damage if their capabilities advance faster than safeguards.

Anthropic has also published research documenting cases in which its AI systems were allegedly misused for activities including cyber operations, fraud, surveillance and assistance related to weapons development. Such reports have strengthened calls for more robust safeguards as companies race to build increasingly powerful models.

Concerns have also emerged from within the AI industry itself. Researchers and former employees have warned that the technology could create serious risks if developers fail to adequately understand or control advanced systems. OpenAI's Altman has acknowledged that the possibility of AI posing an existential threat to humanity is a serious concern.

The warnings have reached the political arena as well. Several US lawmakers have called for stronger rules governing AI development, arguing that technological progress needs to be accompanied by appropriate safety standards. President Donald Trump, however, has taken a more optimistic position, criticizing what he sees as excessively negative predictions about AI and emphasizing the importance of keeping the United States at the forefront of the global industry.

The debate is not limited to the United States. Washington and Beijing are expected to discuss AI safety as part of broader bilateral talks, while Chinese state media has criticized calls for slower development as an attempt to constrain China's technological progress.

Investors remain divided over the implications. Some view the warnings as temporary market noise, while others believe they could signal a reassessment of valuations that have been built on expectations of continuous technological advances and accelerating demand.

Market strategists have warned that AI and semiconductor shares could remain vulnerable in the short term. With many companies trading at elevated valuations, even a modest change in expectations about the speed of technological development or future investment could encourage investors to take profits.

The deeper question for financial markets is whether the massive investment currently flowing into AI infrastructure will generate adequate economic returns. AI is widely expected to transform industries ranging from finance and healthcare to manufacturing and communications, but that does not necessarily mean every company benefiting from the current boom will deliver strong returns for investors.

The latest sell-off therefore reflects more than concerns about AI safety. It also signals growing scrutiny of the economics behind the AI revolution, as investors attempt to determine whether the extraordinary spending on chips, data centers and computing capacity can be sustained over the long term.