Australia's securities regulator is strengthening oversight of automated and AI-enabled trading systems to bring its rules into alignment with international standards.
The Australian Securities and Investments Commission (ASIC) announced the new safeguards targeting algorithmic and artificial intelligence-driven trading practices. The regulatory updates aim to ensure market integrity and protect investors amid the rapid expansion of automated trading technologies.
The measures align Australian regulations with frameworks implemented by international financial regulators, creating consistency across major markets. ASIC's approach addresses risks including market manipulation, system failures, and conflicts of interest inherent in AI-enabled trading systems.
Key provisions focus on trader accountability, testing requirements for algorithms, and disclosure obligations for firms deploying automated systems. The regulator emphasized that financial institutions must maintain human oversight and implement robust risk management protocols.
The update reflects growing regulatory attention to AI applications in finance globally. Australia joins other major markets implementing stricter controls on algorithmic trading as these technologies become increasingly sophisticated and prevalent in financial markets.
McDonald's is piloting advertisements from other brands on digital drive-thru menu boards at company-owned locations. Customers will see third-party ads after placing orders while waiting for their meals.
The US government has criticized Australia's proposed digital duty-of-care legislation, specifically targeting provisions that would allow users to opt out of algorithmic content feeds on social media platforms.
The UK Competition and Markets Authority has proposed new rules requiring Google and Android device makers to present users with search engine alternatives at first setup and annually, while also mandating choice of AI assistants on smartphones.
SoftBank's latest bond sale exemplifies a growing trend: lenders are offering double-digit yields on debt financing for AI infrastructure projects. The high returns reflect both strong demand for capital and significant risks inherent in the rapidly evolving sector.