Australia approves 24 tokenised asset cases with $12B potential
Australia’s financial regulator, the Australian Securities and Investments Commission (ASIC), has approved 24 tokenised asset use cases under Project Acacia, enabling real-money trials involving central bank digital currency (CBDC) and stablecoins.
Project Acacia is a collaboration between the Reserve Bank of Australia and the Digital Finance Cooperative Research Centre (DFCRC) aimed at exploring how digital forms of money can support institutional trading of tokenised assets.
Tokenised assets represent real-world assets like bonds, property, commodities, and carbon credits on blockchain technology, allowing fractional ownership and faster settlement.
The initiative includes major banks such as ANZ, Commonwealth Bank of Australia, and Westpac, alongside fintech firms including Fireblocks and Zerocap.
ASIC’s regulatory relief facilitates streamlined pilot operations that would otherwise face regulatory hurdles.
The 24 use cases cover diverse asset classes including fixed income, private markets, trade receivables, and carbon credits.
Nineteen pilots will involve real-money transactions, while five will use simulated transactions.
Settlement assets include stablecoins, bank deposit tokens, and pilot wholesale CBDC issued across distributed ledger platforms like Hedera, Redbelly Network, R3 Corda, Canvas Connect, and EVM-compatible networks.
Testing will last six months with results expected in early 2026.
“Governments worldwide are rushing to develop state-sanctioned blockchain solutions that offer none of the real innovation provided by Bitcoin, instead offering options mired in centralization and control.” Komodo Platform CTO Kadan Stadelmann criticised the project’s permissioned blockchain approach, stating.
“strips [blockchain] of the real innovations” and risks entrenching traditional financial systems with “even greater financial control than before.” he warned about Project Acacia’s permissioned model.
Stadelmann contrasted permissioned blockchains with permissionless ones like Bitcoin (CRYPTO:BTC) and Ethereum (CRYPTO:ETH), which offer greater transparency and censorship resistance.
At the time of reporting, Bitcoin price was $111,171.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Fear is the biggest short! Morgan Stanley calls for bottom-fishing in semiconductors: land and electricity shortages are not a problem, approved projects can't meet demand
Morgan Stanley believes that the recent sell-off in the semiconductor sector has been excessive, and that market panic rather than fundamentals is the biggest risk. Driven by demand for AI infrastructure, downstream orders continue to accelerate, with semiconductor supply remaining the core bottleneck. LPS constraints actually make growth more stable. The sector may fluctuate within a range in the short term and is currently near the bottom; prospects for the computing power and storage subsectors are favorable.
Indian Rupee extends rally amid continued FIIs buying, lower oil prices
Hashrate orders are booming, why is "AI trading" falling out of favor? JPMorgan reveals the time lag between AI investment and productivity realization
Joseph Lupton from the JP Morgan Global Economic Research Team pointed out in a research report on November 10 that recent improvements in labor productivity have been driven more by capital deepening and increased intensity of factor utilization. The broad efficiency gains from AI, resulting from process reconstruction, data integration, and organizational adjustments, will still take time to materialize. This means orders for chips, servers, and electrical equipment may grow first, but continuous investment returns for computing power operators and end users may not arrive at the same pace.
AI investment enters the "Trough of Disillusionment", the next 18 months will be a life-or-death test!
Goldman Sachs believes that the AI investment cycle is currently in the "trough of disillusionment," but this is not the first time. The core contradiction lies in the fact that the business models of new cloud computing providers are highly dependent on end-user returns from AI spending, while currently "there are basically zero companies that can attribute profits to AI." Social Capital founder Palihapitiya has clearly defined an 18-month key window, during which the market will decide which AI business models are sustainable and which are not.
Crypto prices
More
