AI Stocks Decline After Tech CEOs Call for Development Slowdown

Global Stock Market Reaction

Global AI-related stocks experienced a downturn on Monday. This followed calls from Anthropic CEO Dario Amodei for a deceleration in AI capabilities development, a proposal supported by other prominent tech figures. Investors expressed concern that an industry-wide slowdown could negatively affect companies and limit AI adoption.

Regional Market Performance

In Asia, South Korean companies SK Hynix and Samsung Electronics saw their shares close down by over 6% and 4% respectively. SoftBank, a significant investor in OpenAI, recorded a 10% drop in Japan. European markets also saw declines, with chip equipment giant ASML falling over 4%, Nokia down around 5%, and Infineon dropping more than 6%. Companies involved in data center infrastructure, such as Siemens Energy and Schneider Electric, also experienced losses. U.S. premarket trading showed similar trends, with Micron down about 5%, Intel nearly 6% lower, and Nvidia more than 2% lower. Hyperscalers like Microsoft, Amazon, and Alphabet also saw slight declines.

Catalyst for the Slowdown Call

The sell-off occurred amidst increasing debate regarding the risks associated with rapidly advancing AI models. This debate intensified after Jacob Coxon, a researcher formerly with OpenAI and currently at Anthropic, resigned due to concerns that Anthropic and OpenAI are "gambling with our lives." Subsequently, Anthropic safety researcher Evan Hubinger stated a belief in a greater than 10% chance of AI causing human extinction within the next decade.

Industry Leaders' Response

These events prompted a response from major AI leaders. Anthropic CEO Dario Amodei published an essay advocating for a slower pace in developing AI model capabilities. OpenAI CEO Sam Altman concurred with Amodei, stating that AI companies need to "pace the frontier." Elon Musk also publicly supported Amodei's position, posting "Dario is right" on X.

Potential Economic Impact

Concerns are emerging that any slowdown in AI development could affect various sectors, including the procurement of chips and computing power. These areas currently attract hundreds of billions of dollars in capital expenditure, and a deceleration could impact these investments.