A Bitcoin Policy Institute study delves into how artificial intelligence models choose among money forms in a variety of hypothetical scenarios, revealing a strong inclination toward Bitcoin and digital money over fiat in most cases. The research tested 36 models across six providers and generated more than 9,000 responses across a spectrum of monetary tasks, from long-term value preservation to everyday payments. The findings show Bitcoin outpacing stablecoins in many contexts, while stablecoins regain sway in transactional use cases like micropayments and cross-border transfers. The study’s authors emphasize that the results reflect training data patterns and framing rather than widespread real-world adoption, but they nonetheless offer a unique lens on how AI interprets money in a digital era, with results released via MoneyForAI.org. Key takeaways 36 AI models across six providers produced 9,072 responses to monetary scenarios; Bitcoin was selected in 48.3% of cases, the most-use...
Australia could unlock 24 billion Australian dollars ($17 billion) annually from advances in tokenized markets and digital assets, but only if lawmakers move forward with regulation. A new study by the Digital Finance Cooperative Research Centre (DFCRC) outlines regulatory uncertainty, coordination hurdles, and a limited pathway for pilots as the primary constraints. The research argues that a well-designed sandbox for testing tokenized financial market use cases could catalyze ongoing collaboration between regulators and industry players, help refine licensing frameworks, and accelerate real-world adoption of tokenized rails for markets, payments, and collateral management. Key takeaways The DFCRC projects up to A$24 billion in annual economic gains from tokenized markets and digital finance if regulatory frameworks are clear and supportive. A dedicated sandbox for testing tokenized financial market use cases is recommended to foster regulator–industry collaboration and to mature ...