Arabic version: قواعد الذكاء الاصطناعي الأسترالية تحظى بدعم من أوبن إيه آي وأنثروبيك
According to The Guardian, OpenAI and Anthropic welcomed Australia’s plans for new artificial intelligence rules, despite regulation appearing to limit technology companies. The report says the companies may see clear standards as a way to reassure investors, reduce legal uncertainty and build a case for expansion in other markets.
The response comes as competition from China has pressured expectations around leading US AI developers. Moonshot AI launched its Kimi K3 model, describing it as the first open-source model of its size. Analysts judged the model competitive with Anthropic’s Claude and OpenAI’s ChatGPT, while Moonshot temporarily paused new subscriptions after demand strained capacity. On IG’s trading platform, implied values for Anthropic’s potential market debut fell US$232bn to US$1.56tn from Friday to Tuesday, while OpenAI fell US$160bn to US$1.16tn. The companies remain privately owned, meaning those figures are market bets rather than their actual valuations.
Australia’s assistant technology minister, Andrew Charlton, said the proposed rules would allow creatives to decide whether AI models could train on their work and would require big technology companies to pay them. Anthropic recently settled a lawsuit involving authors for US$1.5bn, with roughly US$3,000 expected for each of an estimated 500,000 books covered. Charlton said a clear Australian standard could give investors greater certainty and enhance the country’s attractiveness.
Morningstar Equity analyst Malik Ahmed Khan said companies could find it easier to invest as they gain clarity on the direction of regulation. He added that a positive outcome in Australia could help firms pursue comparable arrangements globally. Prime minister Anthony Albanese has said the government will consult closely with industry and other countries on rules intended to enable AI’s arrival rather than restrict it. Anthropic chief executive Dario Amodei has called for domestic safeguards, including testing and possible blocking of models with unacceptable risks, while warning against political favouritism or arbitrary decisions.
