Artificial-intelligence stocks came under pressure after prominent technology leaders called for greater caution over the pace of AI development, raising fresh questions about the industry’s spending boom and regulatory direction.

The concerns were associated with comments from Anthropic chief executive Dario Amodei, OpenAI chief executive Sam Altman and Elon Musk, who have each raised questions in different contexts about the risks associated with increasingly capable AI systems.

The market reaction reflected uncertainty over how calls for a slowdown could affect investment in data centres, semiconductors, cloud infrastructure and AI applications. Technology companies have committed billions of dollars to expanding computing capacity, while investors have been pricing in rapid growth in AI-related demand.

Shares in several major technology companies declined in premarket trading. Chipmakers, which have benefited from the AI boom, were particularly exposed to concerns that spending could slow or that governments could impose stricter controls on advanced systems.

The debate is not simply about whether AI development should stop. It concerns the pace of deployment, the safeguards required before powerful systems are released, the concentration of computing resources and the responsibility of companies whose products may affect employment, public information and national security.

Governments are also under pressure to determine how to regulate AI without restricting research or allowing the technology to develop without adequate oversight. The disagreement has become sharper as companies compete to build systems capable of performing increasingly complex tasks.

Investors face a difficult calculation. A slowdown could reduce near-term spending and weaken demand for chips and infrastructure, but stronger safety rules could also make the sector more sustainable by reducing the risk of major failures, misuse or public backlash.

The market decline therefore reflects both financial and political uncertainty. The AI industry’s next phase may depend not only on technical progress, but also on whether companies, regulators and the public agree on acceptable limits for deployment.