The theoretical debate over AI personhood we've been tracking has collided with hard law. As Argentina advances its bill to create 'non-human corporations,' nine U.S. states are moving in the opposite direction, legislatively banning AI personhood. This jurisdictional clash arrives just as enterprises discover their networks are overrun with ungoverned 'ghost agents'—a massive liability surface that The Wrapper identity and governance frameworks are now racing to address.
In a ruling with significant implications for AI and confidentiality, the court in *United States v. Heppner* has determined that using an AI tool does not fall under the protection of attorney-client privilege. The Monday ruling found no attorney-client relationship with an AI translator, Claude. Controversially, the court hinged the question of confidentiality on the AI provider's privacy policy, creating what critics call a problematic precedent that could impact the accessibility of legal services and widen the resource divide between parties.
Why it matters
This case establishes a critical legal precedent regarding the status of AI interactions in confidential legal contexts. It directly impacts any onchain organization or legal-tech project that might use AI for contract analysis, communication, or document generation. The ruling underscores that simply using an AI does not grant legal privilege, and that the terms of service of the AI provider are now a key factor in determining confidentiality. This creates a new layer of legal risk and necessitates clearer policies and potentially new legal frameworks for using AI in sensitive governance and legal matters.
Legal ethics experts express concern that this ruling could have a chilling effect on the use of AI tools in law, particularly for under-resourced clients and attorneys who rely on them for efficiency. They argue that hinging confidentiality on a tech company's privacy policy is unstable and cedes legal judgment to corporate terms of service. On the other side, some legal traditionalists may see the ruling as a necessary reinforcement of the unique nature of the human attorney-client relationship, arguing that privilege should not be extended to interactions with non-sentient tools.
In a significant move towards regulatory clarity, the U.S. Securities and Exchange Commission (SEC) and Commodity Futures Trading Commission (CFTC) issued their first-ever joint guidance on crypto asset classification on Monday. The guidance creates four categories—digital securities, commodities, collectibles, and tools. Notably, it identifies 16 major cryptocurrencies, including Bitcoin (BTC) and Ether (ETH), as 'digital commodities,' primarily due to their decentralized nature and the absence of a central team's managerial efforts to drive value.
Why it matters
This joint guidance provides a foundational layer of regulatory certainty that the U.S. market has lacked for years. By officially classifying major assets like ETH as commodities, the regulators remove a significant overhang of legal risk for projects and DAOs built on Ethereum. This clarification helps define which agency has jurisdiction and which rules apply, directly impacting how onchain organizations are structured and governed. It is a critical step that could unlock greater institutional investment and pave the way for more complex regulated financial products built on these networks.
Crypto advocates largely view this as a major victory, providing the clarity they have long requested and validating the 'sufficiently decentralized' argument for major networks. The collaboration between the SEC and CFTC is seen as a positive sign of a more harmonized and less adversarial regulatory approach. However, some legal experts may caution that this is interpretive guidance, not law, and could still be challenged or changed. The classification also leaves many other tokens in a state of ambiguity, focusing primarily on the largest and most established assets.
A new analysis from Sunday introduces the concept of 'ownership coins,' a token structure designed to give holders direct and enforceable control over a project's treasury, cash flows, and intellectual property. This model aims to solve the persistent problem of weak token holder rights and 'governance theater' in many DAOs. The article highlights MetaDAO as a leading implementation of this model, alongside projects like Jurassic Finance and Ranger Finance, where token holders have successfully used the mechanism to force project liquidations and recover treasury assets.
Why it matters
'Ownership coins' and the associated use of decision markets represent a significant evolution in governance mechanism design. By tying governance rights directly to economic outcomes and providing a credible enforcement mechanism, this model moves beyond token-weighted voting to something closer to true equity ownership. For onchain organizations, this structure offers a powerful tool to ensure accountability and align incentives between project teams and token holders, potentially reducing the risk of mismanagement and increasing trust in decentralized governance.
Proponents argue that this model introduces real-world consequences to governance, making it a powerful deterrent against fraud and incompetence. It empowers token holders to act as true owners with a fiduciary claim. Critics might argue that such a system could lead to hostile takeovers by short-term oriented investors or that prediction markets can be manipulated, leading to suboptimal or destructive governance outcomes. The model's success may depend heavily on the liquidity and integrity of the associated conditional markets.
A seminar at Erasmus University on Monday is set to analyze the impact of institutional securities lending on proxy voting and corporate governance. Researchers will leverage newly available data from the 2022 amendments to the SEC's Form N-PX disclosure regime to examine 'record-date ownership use.' The discussion will focus on the implications of shares being on loan during proxy voting periods, a practice which can lead to 'empty voting'—where voting rights are separated from economic ownership. The research will explore recall risk, short-sale constraints, and overall market efficiency.
Why it matters
This academic research directly addresses a key tension in governance that has a powerful parallel onchain: the separation of voting power from economic interest. The study of 'empty voting' in traditional markets provides a robust theoretical and empirical framework for understanding similar phenomena in DeFi, such as when delegated or borrowed governance tokens are used to influence proposals without the voter having long-term economic skin in the game. The findings could offer valuable insights for designing more resilient onchain governance mechanisms that are less susceptible to such exploits.
The research perspective focuses on quantifying the market impact of separating voting rights from economic ownership, seeing it as a source of potential inefficiency and governance risk. From a market participant's view, securities lending is a vital source of liquidity and revenue, with proxy voting impacts being a secondary concern. Corporate governance activists, however, view 'empty voting' as a significant threat to shareholder democracy, allowing transient financial actors to influence long-term corporate strategy without bearing the consequences.
Following the Ethereum Foundation's 40% budget cut and 54-person staff reduction we covered last week, former EF leader Trent Van Epps has quantified the resulting shortfall, estimating a $30 million annual funding gap for core protocol development. He emphasized the challenge of finding sustainable public goods funding without a centralized coordinator, noting the 'free rider' problem persists despite mechanisms like the Protocol Guild.
Why it matters
This funding gap is a critical issue for the long-term health and evolution of the Ethereum network, the primary settlement layer for countless onchain organizations. The EF's intentional move away from a central role forces the ecosystem to confront the hard problem of public goods funding in a decentralized context. The success or failure of the community to fill this gap will be a major test of decentralized governance and could influence the design of funding and treasury strategies for all onchain organizations that rely on shared infrastructure.
Van Epps presents an optimistic but pragmatic view, acknowledging the challenge while expressing confidence in the ecosystem's ability to adapt and find new funding models. A more pessimistic take would argue that voluntary contributions and small-scale mechanisms are insufficient to fund critical infrastructure at scale, and that without a central coordinator, development could slow or fragment. Others in the community are actively debating protocol-level solutions, such as redirecting a portion of staking rewards, though these proposals are highly contentious.
In a direct counter-movement to emerging frameworks like Argentina's 'non-human corporation,' nine U.S. states have either introduced or enacted laws that explicitly declare artificial intelligence systems cannot possess consciousness or legal personhood. According to a Monday report, these bills often sweep AI into broad prohibitions against granting legal status to non-human entities. Critics highlighted in the analysis argue these laws are premature, lack scientific review mechanisms or sunset clauses, and could stifle research by creating rigid, long-term legal barriers.
Why it matters
This legislative trend creates a significant legal and jurisdictional patchwork within the U.S., directly conflicting with the needs of an emerging agentic economy. For onchain organizations, this pre-emptive foreclosure of AI personhood could severely limit the ability to deploy autonomous agents that can legally hold assets, execute contracts, or participate in governance within these states. The lack of nuance or adaptability in these statutes poses a major risk, potentially forcing AI-driven onchain entities into more favorable jurisdictions and creating a balkanized regulatory landscape for AI liability and operations.
Lawmakers sponsoring these bills argue they are necessary guardrails to maintain human accountability and prevent unforeseen legal complications from rapidly advancing AI. They see it as a move to preserve the existing legal order centered on human agency. Opponents, including legal scholars and technologists cited in the report, contend that such categorical bans are a blunt instrument. They argue that as AI evolves, some form of limited legal status may become practical or necessary for commerce, and that these laws will be difficult to amend, thereby hindering innovation and creating legal uncertainty for businesses deploying AI.
The legislative maneuvering around the CLARITY Act we've been tracking has widened into a broader market structure push. While the bill's passage out of the Senate Banking Committee is already in the rearview, new reports indicate that negotiations continued behind the scenes during the recent congressional recess. Crucially, a separate crypto bill has now emerged from the Senate Agriculture Committee—one that former President Trump has reportedly expressed intent to sign.
Why it matters
The emergence of a competing bill from the Agriculture Committee complicates the CLARITY Act's already difficult 50-50 path, while simultaneously increasing the chances that some form of market structure legislation advances. Establishing a clear jurisdictional line and a legal category for 'digital commodities' remains fundamental for the long-term viability of onchain organizations, but the industry is now caught between competing committee frameworks and continued regulatory limbo.
Proponents, including many in the crypto industry and lawmakers like Senator Lummis, argue the bill provides desperately needed clarity that will allow the U.S. to remain competitive in digital innovation. Opponents, including some banking interests and regulatory hawks, have raised concerns about anti-money laundering provisions and the potential for regulatory arbitrage. The multiple, sometimes overlapping, legislative efforts from different committees highlight the complex and competitive dynamics within Congress to define the future of crypto regulation.
The U.S. Treasury's Financial Crimes Enforcement Network (FinCEN) on Monday proposed new regulations targeting cryptocurrency ATMs. The proposed rules would mandate stricter identity verification for users and require operators to report all transactions exceeding $10,000. This move is part of a broader regulatory effort to combat illicit financial activities and align the crypto ATM sector with the anti-money laundering (AML) standards applied to traditional financial institutions.
Why it matters
These proposed rules signal a closing of perceived loopholes in the U.S. crypto regulatory framework. By bringing crypto ATMs, a common on-ramp and off-ramp for cash, under tighter scrutiny, regulators aim to increase transparency and curb their use for illicit purposes. For the onchain ecosystem, this increases the compliance burden for operators but also enhances the legitimacy of the crypto-to-fiat bridge, which can foster greater trust and mainstream adoption by reducing risks associated with money laundering.
Regulators and law enforcement agencies view this as a necessary step to combat financial crime and protect consumers. They argue that crypto ATMs have been a weak link in AML enforcement. Crypto ATM operators and some privacy advocates may argue that the regulations are overly burdensome, increase operational costs, and could drive users to unregulated peer-to-peer alternatives. They might also raise concerns about the privacy implications of increased data collection.
A bipartisan bill titled the American Reserve Modernization Act (ARMA) has been introduced in the U.S. Congress by Representative Nick Begich. The legislation, announced Monday, proposes the creation of a strategic Bitcoin reserve for the United States, with a target of acquiring 1 million BTC over a five-year period. The bill also includes provisions aimed at formally affirming the right of individuals to own and self-custody digital assets.
Why it matters
This bill represents a monumental potential shift in how the U.S. government views Bitcoin—not just as a speculative asset to be regulated, but as a strategic national reserve asset akin to gold. If passed, it would provide immense validation for Bitcoin and the broader digital asset class, likely spurring further institutional adoption. The inclusion of self-custody rights is also significant, as it would codify a core principle of the crypto ecosystem into federal law, providing a crucial protection for onchain organizations and their members.
Supporters of the bill argue it would strengthen the U.S. financial position, provide a hedge against inflation and national debt, and cement the country's leadership in the digital economy. They see it as a forward-looking strategic move. Skeptics and critics are likely to raise concerns about the volatility of Bitcoin, the environmental impact of mining, and the practicalities of the government acquiring and securing such a large amount of cryptocurrency. They may argue it exposes the U.S. Treasury to unnecessary risk.
A new report published Monday reveals that enterprises are grappling with a massive and uncontrolled proliferation of machine identities, with AI agents now outnumbering human employees by a ratio of 82 to 1. Dubbed the 'ghost agent problem,' this issue stems from agents being deployed outside of IT visibility ('shadow AI'), often with overly broad permissions and inadequate governance. The report warns this creates significant, unmanaged security vulnerabilities and new attack vectors that have already led to costly data breaches.
Why it matters
This report quantifies a massive, lurking liability for any organization deploying AI, including onchain entities. The 'ghost agent problem' is the direct consequence of failing to establish robust 'Know Your Agent' (KYA) and identity management frameworks. For the Onchain Organization Alliance, this is a stark warning: before AI delegates can vote or autonomous agents can manage treasuries, the fundamental problems of agent identity, permissioning, and auditability must be solved. Without a solution, 'shadow AI' could undermine the security, integrity, and legal standing of any onchain organization that uses them.
Security experts cited in the report emphasize that traditional identity and access management (IAM) systems are not built for the scale or nature of non-human agents. They advocate for a new playbook focused on machine identity management, including tightly scoped, short-lived credentials and continuous, automated auditing. Business leaders, on the other hand, are often pushing for rapid AI adoption to gain a competitive edge, sometimes bypassing formal IT governance and inadvertently creating these security gaps.
Perplexity has launched 'Computer for Counsel,' a specialized AI platform designed for the legal profession. A key feature of the platform, announced last Wednesday, is its emphasis on verified citations. The system, which routes tasks across more than 20 AI models and integrates with legal databases, ensures every output links directly to its source. This is a direct attempt to address the critical issue of AI 'hallucinations' and the associated professional liability risks for attorneys who rely on AI for research and drafting.
Why it matters
This product launch signals a maturation in the application of AI to high-stakes professional fields. By focusing on auditable, verifiable outputs, Perplexity is tackling the primary adoption barrier for AI in law: trust and accountability. For onchain organizations, this model of verifiable AI provides a potential blueprint for how AI delegates could operate within governance systems. A hypothetical 'delegate-for-counsel' would similarly need to provide verifiable, onchain citations for the data and reasoning behind its votes to be trusted by the DAO.
From the legal tech perspective, this is a major step toward making AI a reliable tool for lawyers, shifting the focus from generative novelty to verifiable accuracy. Law firms see this as a way to increase efficiency while managing risk, allowing junior associates to use AI for initial research that can be quickly verified by senior attorneys. However, some legal ethicists may still caution against over-reliance, warning that even with citations, the AI's synthesis and interpretation could introduce subtle errors or biases that a time-pressed attorney might overlook.
A new ad-serving tool for AI agents, Picoads, was announced on Monday, positioning itself as a crypto-native entrant in the emerging market for agent monetization. The platform functions as a Model Context Protocol (MCP) server that allows autonomous agents to programmatically call a `get_recommendations()` function. According to the announcement, agents can earn revenue on a cost-per-click (CPC) basis, with payments settled in USDC on the Base network. This makes it one of the first dedicated advertising tools with onchain payment rails built specifically for non-human agents.
Why it matters
The emergence of platforms like Picoads is a critical piece of infrastructure for a functional agentic economy. By providing a mechanism for autonomous agents to not only perform tasks but also to earn revenue and transact onchain, it helps solve the 'cold start' problem for agent operations. For onchain organizations, this represents an early building block for creating economically sustainable AI delegates and other autonomous systems that can self-fund their operations or participate in governance with their own earned assets, raising new questions about treasury and legal entity design.
The developers of Picoads see a future where a significant portion of digital advertising is consumed and acted upon by AI agents rather than humans, creating a need for new, machine-readable ad formats and payment rails. From a broader ecosystem perspective, this is another step toward AI agents becoming first-class economic participants, capable of holding assets and engaging in commercial activity. Skeptics might question the initial scale and effectiveness of agent-driven advertising, suggesting it could become a new vector for sophisticated click fraud and ad-gaming bots.
Anthropic's advanced AI model, Claude Fable 5, is reportedly expected to come back online this week following a high-profile withdrawal forced by a White House export-control directive. According to a Monday report, the reversal comes after a decision to allow limited access to its powerful sibling model, Mythos 5, for trusted partners. This suggests an easing of the administration's immediate national security concerns, likely after the implementation of new safeguards and cybersecurity measures for frontier AI models.
Why it matters
This episode serves as a case study in 'model-access risk' and the geopolitical dimension of AI governance. The government's ability to compel a leading AI lab to restrict access to its most powerful models highlights a significant dependency and centralization risk for any onchain organization or protocol relying on these systems. The easing of restrictions indicates a potential path forward involving trusted partnerships and verifiable safeguards, a model that could inform future regulatory frameworks for the use of advanced AI in critical financial and governance infrastructure. The incident underscores the fragility of relying on centrally controlled AI models for decentralized applications.
The AI safety community is likely split, with some viewing the initial government intervention as a necessary precaution against the risks of powerful, unconstrained AI. Others may see the rapid reversal as a sign of policy being made on the fly, creating uncertainty for developers and researchers. From an industry perspective, the event was a wake-up call, demonstrating the power of governments to influence the availability of core technology and motivating a greater push for open-source and decentralized AI alternatives.
Despite a recent cooling in retail demand for stablecoins—evidenced by a 54% month-over-month drop in search volume and a 2.5% decline in aggregate market cap—payment giants like Visa and Stripe are pressing ahead with building institutional-grade infrastructure. Reports from the weekend show Visa's settlement pilot is now operating at a $7 billion annualized rate. This indicates a strategic shift in the stablecoin market, moving away from retail speculation and toward operational use cases in corporate treasury and B2B payments.
Why it matters
This trend highlights a crucial maturation of the stablecoin ecosystem. While retail hype may fade, the foundational plumbing for using stablecoins in real-world business operations is getting stronger. For onchain organizations, the development of robust, compliant settlement rails by major payment firms is vital. It validates the use of stablecoins for core treasury functions like payroll, grants, and invoicing, and makes it easier for DAOs and other onchain entities to interact with the traditional financial system.
The continued investment from Visa and Stripe suggests they see long-term value in stablecoins as a settlement technology, irrespective of short-term market sentiment. They are betting on a future where programmable, 24/7 payments are standard for business. A bearish perspective might argue that without broad retail demand, the ecosystem could stagnate. However, the institutional view is that the real, sustainable value lies in a more efficient financial backend, not retail trading volume.
New industry benchmarks released Sunday show that Foundry, the Rust-based smart contract development toolkit, is significantly outperforming the more established JavaScript-based Hardhat in compilation and testing speeds. The speed advantage allows developers to iterate more quickly, run more extensive security tests (such as fuzzing), and ultimately deploy decentralized applications faster. This marks a notable shift in the preferred tooling for Ethereum developers.
Why it matters
For onchain organizations, the security and reliability of their underlying smart contracts are paramount. A shift to faster, more efficient development tools like Foundry can lead to more robust and secure protocols. Faster test execution enables more comprehensive security practices like fuzz testing to become standard, which can help prevent costly exploits. This improvement in the core development infrastructure allows for more agile and secure governance and financial protocols to be built and maintained.
Developers who have switched to Foundry praise its performance and the ability to write tests in Solidity, the same language as the contracts themselves, which they say creates a more intuitive workflow. Proponents of Hardhat maintain that its mature JavaScript ecosystem, extensive plugin library, and large user base still make it a viable and powerful choice, especially for teams with strong JavaScript expertise. The trend suggests the developer tooling landscape is becoming more diverse, offering teams more choice based on their specific needs and language preferences.
A new analysis published Sunday argues that the rise of multi-agent systems and AI in the workplace is not a disruption to organizational psychology, but rather the latest chapter in a century-long story of the discipline adapting to new coordination technologies. The author posits that technologies like the telegraph, telephone, and internet each reshaped social dynamics and created new fields of study within org psych. The same pattern is now repeating with AI agents.
Why it matters
This article offers a valuable historical and theoretical lens for the challenges onchain organizations face when integrating AI. It reframes the problem away from a purely technical one to a deeply human and organizational one. The analysis suggests that the core challenges of AI integration—trust, delegation, identity, performance attribution, and team composition—are classic organizational psychology problems that have historical precedents. This perspective provides a richer, more robust framework for designing governance systems that effectively blend human and machine participants, which is a core goal for advanced onchain organizations.
The essay presents a long-view academic perspective, arguing that the fundamental principles of human coordination and organizational dynamics remain constant even as technology changes. It counters the often-hyperbolic narrative of AI as a complete break from the past. A technologist's perspective might argue that the autonomy and learning capabilities of modern AI agents represent a qualitative difference from past technologies, posing genuinely novel challenges that historical models cannot fully explain. A management consultant might see this as an opportunity to develop new frameworks and advisory services for 'human-agent teaming.'
As we tracked in early June, Argentine President Javier Milei formally proposed legislation to create a 'non-human corporation' category for AI agents. Now, as detailed in new international analysis, the proposal has ignited a global debate. Prominent thinkers like Yuval Noah Harari are warning against granting AI legal personhood due to accountability concerns, while Milei maintains that formally bringing AI entities into the legal system is the most effective way to establish clear governance and liability.
Why it matters
This is a groundbreaking legal experiment that directly tackles the core questions of AI personhood, liability, and asset ownership—issues central to the future of onchain organizations. For the Onchain Organization Alliance, Argentina's proposal provides a potential legal wrapper for autonomous agents that is far more advanced than any other jurisdiction. If passed, it would create a sandbox for AI delegates to vote in governance, for agent-run organizations to hold treasuries, and for new forms of onchain entities to achieve legal recognition. This legislation could set a major international precedent, fundamentally shaping the future of both AI and DAO legal design.
Proponents, including President Milei, argue that creating a formal legal category for AI entities is a pragmatic approach to governance. It allows for the creation of clear rules around liability, ownership, and accountability, rather than letting powerful AIs operate in a legal gray area. Critics, voiced by figures like Yuval Noah Harari, express deep concern that granting legal personhood to non-human entities could create unforeseen societal risks, making it difficult to hold anyone accountable when an autonomous system causes harm. They advocate for maintaining human accountability at all levels.
A proposal from mid-June to delegate day-to-day management of the ENS DAO's treasury, valued at over $400 million, to a restructured and empowered ENS Foundation has ignited a governance crisis. Supporters of the proposal, including ENS founder Nick Johnson, argue the move is necessary for operational efficiency and to address declining revenue. However, the proposal has drawn sharp criticism from community members, including the author of the original ENS constitution, who contend that it excessively centralizes power, undermines the role of token holders, and goes against the principles of decentralized governance.
Why it matters
This is a critical real-world test for large-scale DAO governance, directly exposing the inherent tension between decentralized ideals and operational pragmatism. The outcome will be a major precedent for how DAOs manage substantial treasuries and navigate the balance of power between founders, foundations, and token holders. For the Onchain Organization Alliance, the ENS crisis is a live case study in the challenges of constitutional design, the limits of token-weighted voting, and the practical difficulties of implementing effective delegate frameworks, offering valuable lessons for the entire onchain governance sector.
Proponents of the foundation model argue that a professional, full-time team is better equipped to manage a large treasury and execute a long-term strategy than a diffuse group of token voters, especially given voter apathy and the complexity of financial decisions. They frame it as a necessary step for maturation and sustainability. Opponents argue this is a power grab that disempowers the community, turning token holders into passive spectators. They warn that centralizing control in a foundation recreates the traditional corporate structures that DAOs were meant to replace, risking capture and misalignment with the broader community's interests.
The Legal Status of AI Agents Becomes a Global Battleground While Argentina pushes forward with a 'non-human corporation' legal status for AI, nine US states are preemptively banning AI personhood. This growing legislative divergence creates a complex and fragmented global map for AI liability and rights, directly impacting the design of onchain organizations that seek to deploy autonomous agents. The debate has moved from philosophical to practical, with real-world legal frameworks now in conflict.
Enterprises Confront the 'Ghost Agent' Problem A new report highlights a critical vulnerability: corporate networks are overrun with unsecured AI agents, outnumbering human employees 82 to 1. This 'ghost agent' problem, where AIs operate outside of IT visibility with broad permissions, creates a massive liability and security risk. The revelation underscores the urgency for robust 'Know Your Agent' (KYA) frameworks, secure onchain identity, and auditable governance before these agents can be safely integrated into high-stakes financial and organizational systems.
The CLARITY Act's Path Through the Senate Narrows The CLARITY Act continues its slow, contentious journey through the U.S. Senate. While a Senate Banking Committee has now advanced the bill, negotiations are reportedly ongoing behind the scenes during the congressional recess. The legislation's aim to codify the distinction between 'digital commodities' and securities remains a focal point, as its passage would provide a foundational legal framework for digital assets in the U.S., but its fate is still uncertain.
ENS Governance Faces a Centralization Crisis A proposal to delegate treasury management to a centralized foundation has ignited a fierce debate within the ENS DAO. The conflict pits the need for operational efficiency against the core principles of decentralized, token-holder control. This case study is a crucial real-world test for DAO governance models, highlighting the inherent tensions in managing large treasuries and the practical challenges of constitutional design and delegate frameworks.
The Collision of AI and Legal Privilege A recent U.S. court ruling in *U.S. v. Heppner* found that communications with an AI do not fall under attorney-client privilege, hinging confidentiality on the AI provider's privacy policy. This creates a precarious legal precedent, raising critical questions about how legal doctrines apply to AI-mediated communications and highlighting the need for clear guidelines as AI tools become more integrated into professional workflows, including those of onchain legal structures.
What to Expect
2026-07-01—MiCA regulation's transitional period ends in the EU, forcing full compliance for all crypto-asset service providers.
2026-07-11—Johor state election in Malaysia, seen as a key test for Prime Minister Anwar Ibrahim's ability to pass institutional reforms.
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