Backing Jensen Huang! Meta Opposes AI Industry Coordination to Slow Development; Zuckerberg: Let Each Lab Decide

Meta Platforms (META-US) CEO Mark Zuckerberg joined the debate on AI development speed and safety on Tuesday (15th), publicly endorsing the position represented by NVIDIA (NVDA-US) CEO Jensen Huang. He argued that each AI lab has sufficient incentives from market competition and legal liability to manage safety effectively, and there is no need for industry-wide agreements requiring all companies to synchronously slow down frontier AI development.

Zuckerberg posted on social platform X stating that every AI lab bears responsibility for ensuring safety and has enough incentive to advance at the pace at which models can be safely trained. He pointed out that if an AI company develops an AI agent that fails to meet user needs or operate reliably according to instructions, users will not use the product long-term. Thus, market competition itself will drive companies to improve AI system safety and 'alignment' capabilities.

Zuckerberg also noted that companies face potential legal liability if their products cause harm, meaning AI firms are not lacking motivation to prioritize safety. He believes that having companies bear their own risks and responsibilities is more aligned with the current competitive environment of the AI industry than establishing a mechanism that requires the entire sector to slow down together.

Zuckerberg cited Meta's own experience as an example. He said Meta delayed the launch of its Muse AI agent by several months due to safety and cybersecurity concerns, but did not ask other AI labs to delay their product timelines accordingly. Zuckerberg believes that when a company determines its product needs more safety testing, it should slow down independently, rather than demanding the entire industry hit the brakes together.

On external oversight, Zuckerberg does not entirely reject third-party involvement. He stated that having independent evaluators and consultants review AI models is already a best practice in the industry, and Meta adopts such practices. He believes that building a larger, more diverse ecosystem of independent AI assessment organizations would help companies identify potential safety issues in their models.

Zuckerberg's remarks echo recent statements by Jensen Huang on AI safety. Huang recently said at Salesforce's (CRM-US) Dreamforce event that the AI industry does not need new U.S. laws or regulatory measures to address safety concerns. Instead, companies themselves should take responsibility for product safety, deciding whether to launch only after confirming their product's capabilities, features, and safety.

Huang believes AI safety and rapid innovation are not mutually exclusive. If a company identifies safety concerns, it can pause or delay deployment independently—but this does not mean the entire industry must slow down AI research and development at the same pace.

This contrasts with recent claims by Anthropic CEO Dario Amodei. Amodei calls for the AI industry to slow down frontier AI development and believes major AI companies need more coordinated safety mechanisms, including third-party safety evaluations and broader industry collaboration.

OpenAI CEO Sam Altman and xAI founder Elon Musk have also publicly responded to Amodei's claims. Altman expressed agreement with the need to slow down frontier AI development, while Musk publicly supported Amodei's warnings. Google DeepMind co-founder Demis Hassabis has also supported establishing an AI industry standards body, reflecting views among some AI players that relying solely on individual companies to manage risks may be insufficient.

The core of the current debate is not whether AI needs safety measures, but who should be responsible for them and whether major AI companies should collectively reduce development speed. One camp advocates reducing risks through industry coordination, third-party evaluations, and shared safety standards; the other believes market competition, product liability, and internal corporate safety mechanisms already provide sufficient incentives.

Meta's stance is also tied to its own AI development strategy. Zuckerberg has long supported large-scale investments in AI infrastructure and model development, believing AI will bring widespread productivity gains. This time, he emphasized that while Meta can slow down on certain AI projects, it does not believe competitors should be required to do the same.

Meta's Chief AI Officer, Alexandr Wang, also participated in the discussion. He stated that AI labs need strong governance mechanisms, external evaluations, and independent oversight, while warning that if AI companies enter a 'recursive self-improvement' race, it could increase the risk of systems escaping human control. Currently, Meta focuses massive computational resources on practical AI applications rather than allowing AI systems to continuously improve the next generation of AI models autonomously.

Meanwhile, the AI safety debate has recently expanded from Silicon Valley to Washington. Former U.S. President Donald Trump publicly opposed calls for the AI industry to collectively slow down, arguing that excessive regulation could weaken America's technological competitive advantage relative to China. House Speaker Mike Johnson also stated he does not support a blanket pause on AI development but is open to discussing safety measures like independent evaluations.

Discussions in the U.S. government and Congress about AI regulation are intensifying alongside divisions within AI companies. It has been reported that Anthropic, OpenAI, and Google recently discussed forming a new industry safety organization to establish frontier AI safety standards. These discussions highlight some players' desire for common rules, although Meta and NVIDIA have not joined the camp calling for coordinated industry-wide slowdowns.

On the market side, the AI safety debate coincides with rapidly expanding global AI capital expenditures. Major tech companies continue investing heavily in data centers, AI chips, and model training infrastructure. Therefore, if large-scale policies to slow AI R&D or deployment were implemented in the future, they could significantly impact investment plans across the semiconductor, cloud computing, and data center industries. However, current public statements from major AI companies focus primarily on safety standards and development speed—not halting AI investment altogether.

Zuckerberg's statement has made the AI industry's internal divide over 'how to safely develop AI' even clearer. Zuckerberg and Huang lean toward companies bearing their own safety responsibilities, using market competition, legal liability, and independent evaluations to mitigate risks. In contrast, Amodei, Altman, and others argue for broader industry coordination. As AI agent capabilities continue to grow and the U.S. government begins discussing industry safety standards, this debate over AI development speed, regulation, and safety governance will persist.