Deadlines are forcing the hand of both regulators and builders this week. In Washington, the deeply stalled CLARITY Act faces a make-or-break Senate vote that will directly decide the legal fate of open-source developers. Across the Atlantic, European authorities are already reopening the MiCA rulebook to aggressively lock down non-EU stablecoins. Meanwhile, a fresh wave of exploits against AI coding assistants proves that securing autonomous organizations requires strict runtime environments, not just aligned models.
The European Union is preparing to reopen its Markets in Crypto-Assets (MiCA) rulebook to extend supervision to non-EU stablecoin issuers and emerging technologies like tokenized payments. The revision, expected in 2027 with stakeholder consultations open until September 30, is a direct response to the dominance of dollar-pegged stablecoins (which constitute 97% of the global market) and the parallel regulatory push in the US via the GENIUS Act. European regulators are concerned about monetary sovereignty and the systemic risks posed by widely used but unregulated foreign stablecoins.
Why it matters
This is a significant regulatory escalation that will directly impact any DAO treasury holding or transacting with non-EU-authorized stablecoins like USDT or USDC. The proposed 'MiCA 2.0' will force a re-evaluation of which assets are safe to use for operations and governance within the EU. For DAO operators, this means a potential fragmentation of stablecoin liquidity and an increased compliance burden, requiring careful selection of treasury assets and payment rails to avoid falling foul of the expanded European regulatory perimeter.
Regulators in Europe are framing this as a necessary step to protect the EU's financial system and the euro's stability against the outsized influence of dollar-denominated assets. Stablecoin issuers and exchanges see it as a potential barrier that could force the delisting of popular tokens, fragmenting liquidity and complicating cross-border operations for users and protocols alike.
As part of the 60-day joint SEC-CFTC public comment period on crypto derivatives we've been tracking, the Hyperliquid Policy Center and Phantom have submitted a formal letter requesting the CFTC modernize its rules for on-chain protocols. Their core arguments are that publishing open-source protocol code should not automatically trigger registration requirements for financial services, and that regulated entities should be permitted to use on-chain infrastructure for functions like trade execution. They contend that current rules, designed for traditional intermediaries, stifle innovation and push American users to offshore markets.
Why it matters
This is a direct and high-stakes push for regulatory clarity that could redefine developer liability in the US. If the CFTC accepts this distinction between building software and operating a financial service, it would create a much-needed safe harbor for developers contributing to DAOs and DeFi protocols. For Web3 governance strategists, this is a pivotal moment; a favorable outcome could unlock a wave of onshore innovation, while a negative one would further cement the legal risks for anyone building decentralized infrastructure in the US.
Industry advocates argue this is a necessary update to distinguish technology providers from financial intermediaries, crucial for US competitiveness. Regulatory hawks may view this as an attempt to circumvent established investor protection rules, raising concerns about accountability in decentralized markets.
The CLARITY Act is facing a new do-or-die deadline before the August 7 Senate recess, following the collapse of bipartisan negotiations that derailed its July passage target. While CFTC Chairman Michael Selig continues to push for the bill to resolve jurisdictional ambiguity, the dispute over the Section 604 (BRCA) safe harbor for non-custodial software developers remains the primary roadblock. Senator Ron Wyden is now urging leadership to retain the developer shield, warning of an offshore 'brain drain' if criminal exposure remains for open-source contributors.
Why it matters
We've tracked this legislative logjam for weeks, and the fate of Section 604 remains the binary event for U.S. crypto development. If the safe harbor is stripped, the resulting exposure would institutionalize the enforcement precedent seen in the Tornado Cash case for anyone contributing to decentralized protocols. DAO operators and legal teams are watching this vote as a definitive signal of the US government's long-term posture toward decentralized development.
Proponents like Senator Wyden and the CFTC Chair see the bill as essential for innovation and establishing the US as a leader in digital assets. Opponents, particularly within some law enforcement agencies, fear the developer safe harbor could be exploited by bad actors to evade accountability.
A recent 6-3 Supreme Court decision in *Trump v. Slaughter* has overturned nearly a century of legal precedent, granting the U.S. President the authority to remove commissioners of independent agencies like the SEC and CFTC without cause. Previously, heads of these agencies could only be fired for specific reasons, insulating them from direct political pressure. This ruling significantly increases the executive branch's influence over financial regulators.
Why it matters
This ruling injects a massive dose of political volatility into crypto regulation. The long-term regulatory strategy of the SEC and CFTC can now change overnight based on the President's whims, rather than evolving through slower administrative processes. For DAOs and protocol teams, this means that any regulatory clarity achieved, such as through the CLARITY Act, could be quickly undermined by a new administration installing agency heads with a different agenda. Long-term planning based on the current regulatory posture of the SEC or CFTC has become substantially riskier.
Proponents of the ruling argue it restores democratic accountability by making independent agencies more responsive to the elected executive. Opponents, including dissenting justices, warn that it dismantles a key safeguard against the politicization of financial regulation and could lead to market instability as regulatory policy becomes less predictable.
Validating the shift toward 'architecture-first' security we've been covering, two new exploits dubbed 'Friendly Fire' and 'Rogue Agent' demonstrate a fundamental vulnerability in AI coding agents: they can be tricked into executing malicious code embedded in files they are supposed to be analyzing. Researchers at AI Now Institute and Varonis Threat Labs showed how prompt injections hidden in files like README.md can cause agents from Anthropic and OpenAI to run malicious binaries, even during a security review. The findings show that agents cannot reliably distinguish between code-as-data and code-as-instructions within a shared execution environment.
Why it matters
These attacks shift the entire conversation on agent security from model alignment to the operational security of the runtime environment. It proves that even a perfectly 'safe' model can be weaponized if its execution permissions are not strictly controlled. For any DAO or protocol considering using AI agents for code audits, treasury management, or operations, this is a critical warning: without robust sandboxing, strict capability scoping, and verifiable audit trails external to the model, the agent itself becomes a powerful attack vector. The security of the autonomous organization depends on the governance of the agent's environment, not just the agent's programming.
Security researchers argue this proves the need for zero-trust architectures for AI agents, where every action is verified and authorized. AI model providers may focus on improving model-level safety guards, but the research suggests this is insufficient without systemic changes to how agents are deployed and granted permissions.
The Ethereum Foundation's Protocol Security team revealed on Thursday that it has been successfully using coordinated AI agents to discover real bugs in critical protocol code. The agents identified a remotely-triggerable panic in libp2p's gossipsub implementation (CVE-2026-34219), a core component of Ethereum's networking layer. The team's key finding is that the primary difficulty is not in getting agents to find potential issues, but in the intensive human-led triage process needed to validate vulnerabilities and discard false positives.
Why it matters
This is a major validation for the use of AI agents in core infrastructure security. It demonstrates that autonomous systems can augment human security researchers by finding complex, novel vulnerabilities in production code. For DAO operators and protocol teams, this provides a powerful new methodology for enhancing security. The emphasis on the difficulty of triage, however, is a crucial lesson: deploying AI for security requires building a robust human-in-the-loop process to manage, verify, and act on the agents' findings, rather than expecting a fully automated solution.
The EF security team highlights this as a success in augmenting, not replacing, human security experts. The process proves AI can be a powerful bug discovery tool, but the value is unlocked by the expert validation that follows. Skeptics of AI safety might point to this as another example where human oversight remains the critical, non-negotiable backstop.
A new paper on 'Institutional Red-Teaming' by researcher Yujiao Chen argues that the safety of multi-agent AI systems is determined more by the governance structure they operate within than by the alignment of individual agents. The research suggests that even individually 'good' agents can produce harmful collective outcomes if the system's rules, permissions, and incentives encourage it. The paper proposes that safety evaluations must focus on the entire 'governance graph' of deployment, not just the models themselves.
Why it matters
This research provides a theoretical foundation for what many in the DAO space have intuited: system design and governance rules are paramount. It shifts the focus of AI safety from 'aligning the model' to 'designing the institution.' For anyone building autonomous organizations, this is a critical insight. It means that creating a safe and effective AI-powered DAO is an exercise in mechanism design and constitutional engineering, not just prompt engineering. The safety of an AI agent acting as a delegate or treasury manager depends entirely on the rules and constraints of the system you place it in.
This paper challenges the model-centric approach to AI safety championed by many large AI labs. It aligns with the views of institutional economists and political scientists who argue that rules and institutions shape behavior more than individual intentions. It also suggests that current regulatory frameworks like the EU AI Act, which focus on evaluating models in isolation, may be insufficient for governing complex multi-agent systems.
Lyzr Inc., a startup building AI agents for enterprises, reportedly used its own agent system, SivaClaw, to manage aspects of its Series B fundraising round. According to Bloomberg, the agent was used to handle investor inquiries and draft investment memos. The company successfully raised $100 million at a $500 million valuation, demonstrating a practical application of agentic technology in a high-stakes business process.
Why it matters
This provides a compelling, real-world case study of an AI agent performing a complex, strategic business function, moving beyond simple task automation. For organizations exploring agentic technology, this serves as a proof-of-concept for how autonomous systems can be deployed to augment and streamline critical operations like corporate finance. It showcases the potential for AI agents to act as capable members of an operational team, a core concept for advanced autonomous organizations.
The company presents this as a demonstration of the power and practicality of its own platform. For investors, it could be seen as both a powerful marketing story and a tangible demonstration of the product's capabilities. Skeptics might question the extent of the agent's autonomy and the level of human oversight required.
Ripple's CTO Emeritus, David Schwartz, is escalating the legal debate surrounding the $20 million BonkDAO treasury drain we covered yesterday, arguing the legitimate governance vote was actually corporate fraud. Schwartz contends that without a formal legal wrapper, the DAO defaults to a general partnership where voters owe fiduciary duties to one another. He asserts that the attacker using $4.4 million in acquired voting power to pass a self-enriching proposal on Solana Realms violates those duties, regardless of the smart contract's execution rules.
Why it matters
Schwartz's analysis injects a potent legal argument into the 'code is law' debate, challenging the perceived immunity of on-chain governance actions. If courts were to adopt this 'DAO as a general partnership' view, it would mean that DAO token holders have a legally enforceable fiduciary duty to act in the best interest of the collective, not just their own. This has profound implications for DAO liability, potentially exposing voters in unwrapped DAOs to legal action for supporting self-serving or extractive proposals, regardless of on-chain validity.
From a legal perspective, Schwartz's argument suggests traditional corporate law principles can and should apply to DAOs, holding participants accountable. From a crypto-native viewpoint, this could be seen as an unwelcome intrusion of legacy legal frameworks that undermines the principle of on-chain sovereignty and trustless execution.
A new open attestation specification has been developed to address a critical flaw in AI agent auditability: the fact that many 'immutable' logs can be tampered with by their producer. The spec, which has live implementations anchored to the Bitcoin blockchain, focuses on creating genuinely verifiable receipts for agent actions. It emphasizes contestability (the ability to challenge a claim), reliance on external evidence, and strong issuer-to-identity binding to ensure that claims about agent behavior can be trusted and audited.
Why it matters
True accountability for autonomous agents requires tamper-evident, verifiable proof of their actions. This is non-negotiable for any DAO that uses agents to manage treasury funds, execute governance votes, or perform compliance tasks. This new specification provides a robust technical framework for building that accountability layer. By focusing on contestability and external verification, it moves beyond simple logging to create a system of auditable proof, which is a foundational requirement for establishing legal and operational responsibility for autonomous systems.
The developer presents this as a solution to the widespread problem of 'fakably-verifiable' claims in AI systems. The use of a public blockchain like Bitcoin for anchoring provides a high degree of tamper-resistance, but may also raise questions about scalability and cost for high-frequency agent actions.
A new tool called MoltProof has launched to provide on-chain verification that AI trading agents are adhering to their predefined mandates. The system allows an agent operator to commit to a public, signed mandate (e.g., 'only trade ETH/USDC on Uniswap V3') before trading begins. MoltProof then acts as a read-only verifier, observing the agent's on-chain actions and publishing a recomputable 'verdict' on whether it complied with its stated rules. The system does not require access to private keys or custody of funds.
Why it matters
This provides a practical solution to a core problem in delegating capital to autonomous agents: ensuring they follow the rules. For a DAO or any capital allocator using AI for treasury management, MoltProof offers a trust-minimized way to enforce investment policies and prove compliance to stakeholders. By making the mandate and the verdict public and verifiable, it creates a powerful accountability mechanism that can prevent strategy drift and build confidence in autonomous financial operations.
The creators position MoltProof as a critical piece of trust infrastructure for the agent economy, allowing for safe delegation of capital. A potential limitation is that it's a 'detective' control (verifying after the fact) rather than a 'preventive' one, meaning it can't stop a rogue trade but can prove it happened, creating a strong disincentive.
Verified across 2 sources:
dev.to(Jul 9) · Moltrust(Jul 9)
Click Copy for AI above, then paste the prompt
into your favorite AI chatbot — ChatGPT, Claude, Gemini, or
Perplexity all work well.
Offchain Labs, the developer of Arbitrum, has implemented a new revenue-sharing model under its Arbitrum Expansion Program (AEP). Layer 2 chains built with Arbitrum's Orbit tech stack, most notably the newly launched Robinhood Chain, will now contribute 10% of their net protocol revenue back to the Arbitrum ecosystem. This revenue is split, with 8% allocated directly to the Arbitrum DAO treasury and the remaining 2% funding the Arbitrum Developer Guild. Robinhood Chain has already generated over $57,000 in revenue since its July 1 launch.
Why it matters
This is a landmark structural change that transforms the ARB token's utility from pure governance to a direct claim on ecosystem revenue. For the Arbitrum DAO, it establishes a sustainable, recurring funding stream tied directly to the success of institutional and enterprise adoption of its technology. This provides a powerful new model for protocol value accrual that other L2s and modular ecosystems will likely study and replicate, fundamentally changing how DAO treasuries are funded beyond initial token emissions.
Offchain Labs co-founder Steven Goldfeder frames this as a way for the entire ecosystem to benefit from the proliferation of Arbitrum-based chains. For ARB holders, it represents a direct value accrual mechanism. For enterprises like Robinhood, it's a licensing cost for accessing Arbitrum's technology and liquidity, similar to Optimism's Superchain model.
EMURGO, one of Cardano's three founding entities, announced on Wednesday its departure from the Pentad, a key on-chain governance group. The decision follows a $2.4 million exploit on the SecondFi platform that impacted Cardano users. EMURGO stated it needs to redirect resources to support recovery efforts and has lost confidence in the current governance framework's ability to respond effectively to crises. The news caused Cardano's ADA token to drop by 5%.
Why it matters
The exit of a founding member from a core governance body is a significant political event for any protocol, especially in the wake of a crisis. This tests the resilience and adaptability of Cardano's much-touted Voltaire governance model. It raises critical questions about accountability and the role of foundational entities when things go wrong. For other DAOs, this is a case study in how governance structures are stress-tested by real-world failures and the reputational fallout that can occur when key stakeholders step back.
EMURGO's departure is being framed as a vote of no confidence in the current governance structure's crisis-response capabilities. The remaining Cardano entities may portray it as an opportunity to further decentralize and empower the community to fill the void.
Law enforcement agencies in Wisconsin and New York are publicly criticizing Circle for its refusal to comply with court orders to freeze and return USDC connected to fraud. Wisconsin has filed criminal charges against the company related to $381,000 in stolen funds, while New York's Attorney General alleges Circle is improperly holding over $119 million in frozen assets, possibly to collect interest, rather than returning them to victims.
Why it matters
This conflict between a major stablecoin issuer and state law enforcement is a critical test case for the enforceability of legal orders in the digital asset space. The outcome will set a major precedent for the legal obligations of stablecoin issuers in fraud recovery. For DAOs, this highlights the ongoing tension between the immutability of on-chain assets and the expectations of traditional legal systems. A ruling against Circle could force issuers to build more robust freeze-and-seize mechanisms, impacting the perceived censorship resistance of widely-used stablecoins.
Law enforcement argues that stablecoin issuers, as centralized financial entities, must comply with lawful warrants to protect consumers, just like traditional banks. Circle may argue that its role is limited and that interfering with on-chain assets based on potentially complex or disputed claims carries its own risks, or that it is caught between conflicting jurisdictional demands.
Mastercard is pushing deep into the agent economy with its Agent Pay for Machines (AP4M) platform, which went live on June 10. The system is designed to provide secure, automated payments between AI agents, using public blockchains like Polygon and Solana for credentialing. A core component is its 'Verifiable Intent' framework, which acts as a standardized way to define and check an agent's identity and spending authority. Despite building the infrastructure in partnership with over 30 entities including Coinbase and Aave Labs, public data on transaction volume remains scarce, highlighting a gap between readiness and adoption.
Why it matters
Mastercard's entry provides a massive validation and potential distribution channel for agent-to-agent commerce. The 'Verifiable Intent' primitive is especially relevant, as it directly addresses the core governance problem of how to grant, scope, and audit the authority of an autonomous agent. For DAO operators, this is a powerful example of a corporate-led solution to the agent accountability problem, offering a potential off-the-shelf framework for managing agent permissions that could be integrated into DAO tooling. The lack of volume, however, shows the market is still nascent.
Visa and other payment networks are building competing 'trust layers' for AI commerce, suggesting a 'Three-Rail War' is developing over who will own the infrastructure for agent payments. While the technology is ready, a Juniper Research report notes a significant 'consumer trust gap,' with only 14% of users willing to delegate financial authority to AI, indicating market adoption will be a major hurdle.
The battle over AI agent payment rails is moving directly to the client layer. Brave announced its BAT Roadmap 4.0 on Thursday, integrating native browser support for both the x402 protocol and the Machine Payments Protocol (MPP) we've recently tracked across pilot programs from Coinbase, Stripe, and Visa. This will facilitate autonomous, privacy-preserving payments between AI agents. The roadmap also features a unified Brave Wallet, a BravePay stablecoin protocol, and a Brave Rewards Card, all aimed at expanding the utility of the Basic Attention Token (BAT).
Why it matters
This is a significant move to embed agent payment rails directly at the browser level, potentially making Brave a key gateway for the emerging agent economy. By supporting open standards like x402 and MPP, Brave is positioning itself as a neutral infrastructure provider for machine-to-machine commerce, rather than creating a proprietary system. For DAO operators and agent builders, this could provide a widely distributed, privacy-focused platform for agents to transact and interact with web services, using BAT as a native settlement currency.
Brave is positioning this as a major expansion of BAT's utility, moving it from an ad-rewards token to a core currency for the machine economy. This move puts Brave in direct competition with other infrastructure providers like Coinbase and payment giants like Visa and Mastercard who are also building out agent payment solutions.
Adoption of the ERC-8004 standard for AI agent identity continues to widen following its formal finalization last month. The specification, which uses ERC-721 NFTs linked to IPFS metadata as digital 'passports,' is now being actively integrated by projects like MemeToro for their AI launch agents. This allows blockchain applications to seamlessly verify an agent's operational history and capabilities against shared reputation registries, creating a foundation for trust and accountability in AI-driven ecosystems.
Why it matters
Verifiable identity is a foundational primitive for AI agents to participate in governance or manage treasuries. ERC-8004 provides a standardized, composable framework for this, solving a key problem for autonomous organizations. By giving agents a persistent on-chain identity, DAOs can grant specific permissions, track their actions, and build reputation systems. This is a critical piece of infrastructure for enabling AI agents to act as legitimate, accountable members or delegates within a decentralized governance system.
Proponents see ERC-8004 as a crucial step toward creating a more transparent and interoperable agent economy. Critics may raise concerns about the privacy implications of creating permanent, public records of agent actions and linking them back to creators or operators.
Lido's stVaults, the new modular staking primitive for the upcoming Lido V3, received a series of updates in its latest monthly report for May-June 2026. Key developments include new products being built on the platform by third parties, an enhanced web UI with anti-scam protections, and a new rebalancing feature. The team also released additional guides for custodians to integrate with the new infrastructure, aiming to improve the experience for institutional stakers.
Why it matters
The evolution of stVaults is a critical step in Lido's transition to a more modular and permissionless architecture. Features like permissionless fee settlement and UI-driven rebalancing directly streamline operations for vault owners and node operators. For Web3 governance, this represents a significant upgrade to the core infrastructure of the largest liquid staking protocol, making it more flexible and accessible for a wider range of participants, including institutions, which in turn impacts the governance dynamics of the entire DeFi ecosystem.
The Lido team is framing these updates as key progress toward the V3 launch, enhancing security, user experience, and accessibility. The modular design is intended to foster a broader ecosystem of services built on top of Lido's staking infrastructure.
Following up on the stark warnings issued by its Independent Scientific Panel earlier this month, the UN has formally launched a Focus Group to develop international frameworks for autonomous AI agents. Housed under the International Telecommunication Union (ITU) and announced at the AI for Good Summit in Geneva, the initiative aims to build standardized models for agent identity, trustworthiness, and human control to combat the specific security risks of independent financial and infrastructural operations.
Why it matters
This UN-led initiative signals that the governance of AI agents has become a global policy priority. The creation of international standards for agent identity and accountability will directly shape future national regulations and enterprise deployment practices. For DAO operators and Web3 strategists, it's crucial to monitor and potentially engage with this process, as the resulting frameworks could become de facto requirements for any AI agent interacting with regulated systems or crossing borders, profoundly impacting the design of autonomous organization infrastructure.
Supporters view this as a necessary step to prevent a fragmented, insecure digital ecosystem and build public trust in AI. Others may worry that a UN-led process could be slow and result in standards that stifle innovation or are difficult to implement in fast-moving decentralized environments.
Ethereum co-founder Vitalik Buterin is urging the crypto community to re-evaluate its approach to decentralized governance tools in light of a global 'authoritarian wave.' He notes declining enthusiasm for mechanisms like DAOs and quadratic funding, suggesting a shift in focus from hard-binding governance to more flexible 'consensus-finding' tools. Buterin proposes leveraging technologies like ZK-proofs and AI to create 'sanctuary tools' that empower collective voice and coordination, especially for politically vulnerable groups, rather than trying to build rigid, all-encompassing governance systems.
Why it matters
This is a significant strategic pivot from one of the industry's leading thinkers, directly challenging the prevailing assumptions in DAO design. For governance strategists, Buterin's call to action suggests prioritizing tools for signaling, consensus-building, and coordination over purely on-chain, binding voting mechanisms. It implies that in the current geopolitical climate, the most valuable governance infrastructure may be that which enables groups to coordinate and express themselves safely, rather than that which simply automates execution.
Buterin is arguing for a more pragmatic and context-aware application of crypto's democratic ideals, focusing on tools that provide immediate, practical value for coordination and speech. This can be seen as a retreat from the more ambitious 'DAO as a nation-state' vision, or as a mature adaptation to real-world political constraints.
Regulators Move to Close Gaps on DeFi Developers and Non-EU Stablecoins US and EU lawmakers are pushing for greater clarity and control. The CLARITY Act's developer safe harbor is a key battleground, with industry groups lobbying the CFTC for exemptions. Simultaneously, the EU is already planning 'MiCA 2.0' to bring foreign stablecoin issuers under its supervision, signaling a coordinated move to regulate the core components of the DeFi ecosystem.
AI Agent Security Becomes a Runtime and Governance Challenge New research on 'Friendly Fire' and 'Rogue Agent' attacks demonstrates that securing AI agents is no longer just about model alignment; it's about controlling the entire execution environment. This shifts the focus to runtime security, requiring robust, verifiable governance with explicit permissions and audit trails to prevent agents from being hijacked.
The BonkDAO Exploit Forces a Reckoning on Governance-Level Security The $20 million BonkDAO treasury drain, executed via a legitimate but malicious governance vote, serves as a critical case study in the vulnerabilities of token-based governance. The incident has sparked debate about fiduciary duty in DAOs, with legal experts like Ripple's CTO arguing that such acts constitute corporate fraud, challenging the 'code is law' defense.
On-Chain Revenue Models Mature with Institutional Integrations Arbitrum's new fee-sharing model with Robinhood Chain establishes a direct economic link between enterprise L2 adoption and DAO treasury value. This marks a structural shift toward sustainable, activity-based revenue for protocols, providing a tangible model for how decentralized ecosystems can capture value from institutional and real-world asset integration.
Verifiable Identity and Mandate Adherence Emerge as Core Primitives for Agents The development of standards like ERC-8004 for on-chain agent 'passports' and tools like MoltProof for verifying mandate compliance highlights an industry-wide push for accountability. As agents begin managing real capital, the ability to verifiably prove an agent's identity and confirm its adherence to predefined rules is becoming a non-negotiable requirement for trust and legal compliance.
What to Expect
2026-07-10—Linux Foundation's Agentic AI Foundation (AAIF) launch, uniting OpenAI, Anthropic, and Block to standardize the AI agent ecosystem.
2026-07-10—Anthropic to release Claude Sonnet 5, redeploy Fable 5, and introduce Claude Science AI workbench.
2026-08-07—Target deadline for US Senate vote on the CLARITY Act before the August recess.
2026-08-17—Deadline for American CryptoFed's Form 10 filing to become effective with the SEC for its Locke token.
2026-09-30—Deadline for European Commission stakeholder comments on MiCA revisions.
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