Australia’s ASIC cracks down on crypto platforms avoiding licensing rules

ambcryptoPublished on 2026-01-28Last updated on 2026-01-28

Abstract

Australia's financial regulator ASIC is intensifying efforts to close regulatory gaps in crypto and fintech sectors, targeting unlicensed AI-powered advice tools and digital asset platforms. In its Key Issues Outlook 2026, ASIC emphasized that inadequate oversight poses risks to financial stability and consumer protection. The regulator requires firms to implement strong controls and demonstrate operational accountability, moving beyond mere policy compliance. With crypto ownership rising to 32% among Australians by 2025 and over $750 billion flowing into retirement payouts, ASIC is prioritizing investor safety and market integrity. The transition from ASX's CHESS settlement system by mid-2026 further underscores the focus on resilient infrastructure. Australia is adopting a balanced regulatory approach, easing rules for approved stablecoins while cracking down on unlicensed operators.

As global crypto adoption moves away from hype and toward real institutional use, Australia’s main financial regulator is stepping in.

In its Key Issues Outlook 2026, the Australian Securities and Investments Commission (ASIC) warned that gaps in digital asset and fintech regulation pose a serious risk to financial stability.

For years, parts of the crypto and fintech industry have operated in loosely regulated areas. However, ASIC’s latest outlook makes it clear that this phase is ending.

ASIC filtering crypto’s grey area

Notably, ASIC is closely monitoring companies using AI and digital payments to avoid standard licensing rules. Specifically, unlicensed AI-powered advice tools and crypto platforms.

The regulator wants to close the gaps that these companies fit within, with the ultimate goal of stopping unlicensed advice and misleading practices.

Global regulatory differences have left Australian consumers less protected than users in regions like the EU.

So while ASIC acknowledges that such platforms can help users find better financial options, it also warns that they can cause harm, leading to losses without proper oversight.

Needless to say, ASIC’s response is firm.

Companies must show they have strong controls, and having an AI policy is not enough. Firms must be able to shut down systems that act against consumer interests.

Other concerns

Additionally, retirees are a key focus. Over the next decade, more than $750 billion will flow into retirement payouts, and poor guidance could leave retirees exposed to unsuitable investments.

At the same time, Australia’s market infrastructure faces pressure as the CHESS settlement system is phased out. A major outage in 2024 highlighted vulnerabilities, and ASIC has warned that further delays or failures could threaten market stability.

The Australian Securities Exchange (ASX) is expected to deliver the new system by mid-2026. This shows that 2026 is all about innovation, but with responsibility.

Launching products first and fixing problems later is no longer acceptable. Companies must show how their systems work and how consumers are protected.

Australia’s crypto adoption index and more

This comes as crypto adoption in Australia continues to rise, as per Statista’s recent survey. In 2025, around 32% of Australians owned digital assets, which is more than double the level seen six years earlier.

Globally, crypto regulation is also speeding up, especially after the U.S. passed the GENIUS Act, triggering stronger competition around stablecoins.

However, Australia is choosing a balanced approach.

Under the ASIC Corporations (Stablecoin Distribution Exemption) Instrument 2025/631, the regulator is easing licensing rules for approved stablecoins like AUDM, while tightening oversight on unlicensed players.

Thus, for the millions of Australians, now crypto is becoming part of the regulated financial system, and the window for operating outside the rules is closing quickly.


Final Thoughts

  • Australia is aligning domestic rules with global standards to avoid becoming a regulatory weak spot.
  • Crypto adoption is driving regulation, not the other way around, as ownership reaches mainstream levels.

Related Questions

QWhat is the main focus of ASIC's Key Issues Outlook 2026 regarding digital assets?

AASIC's Key Issues Outlook 2026 warns that gaps in digital asset and fintech regulation pose a serious risk to financial stability.

QHow is ASIC addressing companies that use AI and digital payments to avoid licensing rules?

AASIC is closely monitoring such companies and wants to close regulatory gaps, requiring them to have strong controls and the ability to shut down systems acting against consumer interests.

QWhat significant financial transition is highlighted as a concern for retirees in Australia?

AOver the next decade, more than $750 billion will flow into retirement payouts, and poor guidance could expose retirees to unsuitable investments.

QWhat percentage of Australians owned digital assets in 2025 according to Statista's survey?

AAround 32% of Australians owned digital assets in 2025, which is more than double the level from six years earlier.

QHow is Australia regulating stablecoins under the recent ASIC instrument?

AUnder the ASIC Corporations (Stablecoin Distribution Exemption) Instrument 2025/631, ASIC is easing licensing rules for approved stablecoins like AUDM while tightening oversight on unlicensed players.

Related Reads

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit4h ago

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit4h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

marsbit4h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

marsbit4h ago

Trading

Spot
Futures
活动图片