Anthropic Signs AI Collaboration Agreement with Australian Government

Apr 13, 2026
Anthropic and the Australian Government have signed a memorandum of understanding to cooperate on AI safety, economic data tracking, and infrastructure planning. The agreement includes sharing Anthropic's Economic Index data and collaborating with Australian institutions on research and workforce development.
Anthropic Signs AI Collaboration Agreement with Australian Government

The Anthropic and the Australian Government have signed a memorandum of understanding to advance collaboration on artificial intelligence opportunities, according to a publication by the Department of Industry, Science and Resources.

Under the agreement, Anthropic will share its Economic Index data with the Australian government to support tracking of AI adoption and its effects on productivity and employment. The company will also work with institutions such as Australia’s AI Safety Institute to conduct joint safety evaluations and research on emerging AI capabilities and risks.

Anthropic plans to explore expanding its operations in Australia, including investments in data centre and energy infrastructure. The memorandum also outlines cooperation on supply chain security and support for domestic startups, education, and workforce training.

The document was signed on April 1, 2026, by Dario Amodei, CEO of Anthropic, and Senator Tim Ayres, representing the Australian Government’s Department of Industry, Science and Resources.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

AI Safety & Regulation AI Brief AI Brief (X)
Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.