Key facts
- OpenAI and Anthropic have welcomed Australia's new AI regulations.
- The move is seen as a strategic effort to shape global AI standards and attract investment.
- Competition from Chinese AI startup Moonshot AI and its Kimi K3 model has reportedly impacted the perceived value of OpenAI and Anthropic.
- Australia's new rules aim to give creatives control over AI training data and require payment for its use.
- The regulations are expected to provide clarity for investors and potentially boost the attractiveness of the Australian market for AI development.
Top US AI developers OpenAI and Anthropic have publicly supported Australia's decision to implement new AI regulations. This move, while seemingly counterintuitive given the companies' Silicon Valley roots, is viewed as a strategic play to shape global AI governance and enhance investor confidence amidst rising competition, particularly from Chinese AI firms.
The support comes after Chinese startup Moonshot AI launched its Kimi K3 model, an open-source large language model that analysts deem competitive with OpenAI's ChatGPT and Anthropic's Claude. The launch of Kimi K3 reportedly led to significant drops in the implied market values of both Anthropic and OpenAI, highlighting the intensifying global competition.
Anthropic also recently settled a lawsuit for approximately US$1.5 billion with authors whose works were used for AI training. Australian Assistant Technology Minister Andrew Charlton noted that the new regulations would allow Australian creatives to control the use of their work and require compensation, while also providing clarity for investors.
Analysts suggest that by embracing regulation, companies like OpenAI and Anthropic can present a more favorable investment narrative, especially as they prepare for potential public listings. Australia's initiative is seen as a potential blueprint for other nations, which could further bolster the prospects and valuations of these AI companies globally. Prime Minister Anthony Albanese has indicated a collaborative approach to developing regulations that aim to facilitate AI's integration rather than restrict it.