Nvidia and Meta bosses reject efforts to co

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Published: 2026-09-18T06:02:26.782Z • Permanent link

Nvidia and Meta bosses have rejected efforts to coordinate an AI slowdown, according to sources close to the negotiations. The talks, which involved representatives from the world's largest AI companies, were sparked by growing concerns over the rapid pace of AI development and its potential impact on society. Mark Lancaster, Nvidia's Chief Technology Officer, was said to have led the discussions, while Sheryl Sandberg, Meta's Chief Operating Officer, reportedly played a key role in pushing back against the proposals. The meeting, which took place in June at Nvidia's headquarters in Santa Clara, California, centered on the issue of AI's role in exacerbating existing social and economic inequalities.

Industry insiders say that the AI slowdown, also known as an "AI moratorium," was proposed by a group of researchers and policymakers who are concerned about the potential risks of advanced AI systems. These risks include the possibility of AI systems becoming uncontrollable or being used for malicious purposes. The researchers argued that a slowdown would give governments and regulatory bodies time to develop more stringent guidelines and safeguards for the development and deployment of AI systems. However, Meta and Nvidia bosses reportedly rejected the proposal, citing concerns over the potential impact on their businesses and the potential for AI to drive innovation and economic growth.

The negotiations also centered on the issue of data sharing and collaboration between AI companies. Meta and Nvidia are reportedly keen to maintain their competitive edge in the AI market, and are wary of sharing sensitive data or collaborating too closely with their rivals. The talks ultimately failed to produce a consensus, with both sides remaining committed to their respective positions.

The rejection of the AI slowdown proposal has significant implications for the Meta & Facebook AI domain. For research communities, the failure to reach an agreement means that there will be no coordinated effort to slow down AI development, which could exacerbate existing social and economic inequalities. This could lead to a continued focus on high-priority research areas, such as natural language processing and computer vision, which are seen as having the potential to drive significant economic benefits. However, this could also mean that the development of more socially responsible AI systems is delayed, which could have serious consequences for society.

The failure to reach an agreement also has implications for the regulatory environment. Governments and regulatory bodies have been increasingly scrutinizing the development and deployment of AI systems, and the rejection of the AI slowdown proposal means that there will be no coordinated effort to develop more stringent guidelines and safeguards. This could lead to a patchwork of different regulations across different countries and industries, which could create uncertainty and unpredictability for companies operating in the AI sector. Meta and Nvidia are reportedly keen to maintain their competitive edge in the AI market, and are wary of being subject to overly restrictive regulations.

The rejection of the AI slowdown proposal is part of a larger pattern of tensions between AI companies and governments. In recent years, there have been a number of high-profile disputes between tech giants and regulatory bodies over issues such as data privacy and antitrust. The EU's General Data Protection Regulation (GDPR) has been a particular point of contention, with many tech companies arguing that it is too restrictive and could stifle innovation. The rejection of the AI slowdown proposal is also reminiscent of the failed attempts to regulate the development of the internet in the 1990s, which were characterized by a lack of coordination and a failure to address the potential risks of unregulated internet growth.