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Will MiCA stifle stablecoins?
April 20, 2023
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Highlights

  • MiCA bans interest/benefit payments for stablecoins
  • This likely applies only to interest paid by the issuer
  • DeFi protocols often provide regulated activities
  • National regulators could decide someone controls the DeFi protocol (is a CASP)
  • Every transaction other than P2P self custody is caught by AML travel rule (no €1,000 minimum)
  • Do stablecoin issuers have to KYC every holder?

With the EU’s Markets in Crypto Assets Regulations (MiCAR) receiving a final vote tomorrow, some have wondered about the impact on stablecoins. Specifically, if a ban on stablecoin interest could inhibit decentralized finance (DeFi) and how additional anti-money laundering (AML) crypto-asset regulations could impact transactions. Stablecoins should do just fine despite the interest ban and vastly expanded AML, but the conclusion comes with caveats. 

There was no intention for the first iteration of MiCAR to address DeFi explicitly. However, as we’ll show, it would be a mistake to assume that all DeFi protocols get a free pass.

MiCA bans stablecoin interest and benefits

Starting with the MiCAR interest clause, stablecoins are either e-money tokens or asset-referenced tokens, but there’s a ban on interest on both

The big picture vision for stablecoins is to create a low cost programmable form of payments for everyday use. Today adoption for these purposes is limited, and DeFi has been one of the growth engines of stablecoins. A big part of that has been the use of stablecoins on DeFi lending and borrowing protocols such as Compound and Aave. And they pay interest.

Article 45 Prohibition of interests
By derogation to Article 12 of Directive 2009/110/EC, no issuer of e-money tokens or crypto-asset service providers shall grant interest or any other benefit related to the length of time during which a holder of e-money tokens holds such e-money tokens.

So the question is whether these interest clauses mean that regulators will pursue Aave and Compound for paying interest. The answer boils down to two factors: is the protocol interest the same type of interest or benefit that the prohibition refers to? And do Aave and Compound get a free pass because this iteration of MiCAR doesn’t directly target DeFi? The answers are broadly positive for stablecoins but not clear cut.

Does the MiCA interest ban apply to lending protocols?

The interest ban clause derives from e-money laws which also ban interest to differentiate e-money from banking. Hence the real intent of the ban is to prevent the stablecoin issuer from behaving like a bank.

Clifford Chance’s Diego Ballon Ossio highlighted to Ledger Insights that the clause is positioned in the section regarding stablecoin issuance, reinforcing the view that it’s targeting stablecoin issuers. However, it also mentions crypto asset service providers (CASPs). The lawyer noted that the mention of CASPs prevents a service provider from becoming a deposit taker of electronic money. 

Ledger Insights believes that the centralized crypto lender Nexo does something similar. Currently, someone can send euros to Nexo, which converts it into its own euro stablecoin EURx on which it pays interest. You won’t find EURx on crypto trading platforms because it’s an internal stablecoin which is currently allowed as an exception under current e-money regulations. But probably not with this new MiCAR clause.

Regarding whether MiCA impacts lending protocols, the Clifford Chance view is that lending protocols enable secondary value added services that are not inherently part of the stablecoin. In contrast, the interest and benefits clause intends to prevent stablecoin issuers from behaving like banks. There are analogies with other financial transactions, such as securities lending, where the compensation would not be considered a relevant interest or benefit because the issuer does not provide the service.

“If you have secondary transactions, repos (repurchase agreements), securities lending or collateral and I make my assets available, that is not inherent to the asset as such, that is an extra service,” said Clifford Chance partner Marc Benzler. But he added that it depends on the specific circumstances. 

There was also the question of whether a return earned on money deposited in a liquidity pool for automated market makers (AMM) would be a benefit tied to the stablecoin. However, that would even more obviously be a secondary type of transaction. But there could be unexpected legal risks involved in liquidity pool participation, as we’ll explore later.

Do DeFi protocols get a free pass?

Despite MiCAR not explicitly targeting DeFi, some DeFi protocols could be targeted for enforcement by national regulators.

“DeFi is the elephant in the room with MiCA,” said Ballon Ossio. “It’s been kicked down the road. And it creates circumstances where the rules either don’t work or can be circumvented by using the technology. The person who’s doing that carries a degree of legal risk.”

While MiCA is a uniform regulation across the EU, it will be enforced by national regulators, which means the treatment won’t be the same everywhere.

MiCAR particularly targets the activities of crypto asset service providers (CASPs), meaning centralized finance (CeFi) providers are the main players impacted. However, if a national regulator deems that someone involved in a DeFi protocol controls the processes and is involved in a regulated activity, they will consider them a CASP.

The draft regulation covers a list of a dozen CASP activities which include functions that DeFi protocols often perform, such as: 

  • operating a trading platform
  • the exchange of crypto-assets for other crypto-assets
  • the reception and transmission of orders for crypto-assets on behalf of third parties.

Ballon Ossio says a regulator isn’t going to target a decentralized autonomous organization (DAO) just because it’s a DAO. “They couldn’t get them because they’re a DeFi protocol. They’d have to get them because they’re doing one of the CASP activities and somebody is responsible for it, and they haven’t gotten a license for it,” he said.

A decision on whether someone is carrying on a particular activity is a question of local law and the particular facts. For example, in some jurisdictions, it could be a matter of whether someone controls the code or has significant influence even if they are not the sole controller.

“The question is can you prove it, make a case, bring an enforcement action?” he added. “You have layers of regulatory decision-making that might prevent anything happening to the protocol. But the fundamental principle of whether it is out of scope because it’s a protocol is something I think that regulators will push back on.”

Hence, DeFi protocols won’t necessarily get a free pass. But they also are less likely to be the first targets of enforcement.

Stablecoins, AML and the travel rule

A raft of new EU laws around anti money laundering are being finalized that include crypto but are not specific to it. Additionally, specific AML crypto-asset legislation for the so-called travel rule had its final debate alongside MiCAR today. 

Dealing first with the travel rule, one surprise is the EU has dropped the de minimis threshold of €1,000, meaning every single transaction involving a CASP will require the AML travel rule data to be passed along.

The one plus of the travel rule is it doesn’t apply to self custody transactions that don’t involve a CASP. The draft law has a clause that excludes transactions where “the transfers constitute person-to-person transfers of crypto-assets carried out without the involvement of a crypto-asset service provider.” And it adds that e-money tokens are considered as crypto-assets for this clause.

Will AML mean every stablecoin holder must be KYC’d?

The broader AML legislation raises some thorny questions for stablecoins.

The legislation considers an e-money issuer as a financial institution with an AML responsibility when establishing a business relationship or if token holders plan “occasional” transactions. 

Some argue that a holder of a stablecoin has a relationship with the issuer and hence the stablecoin issuer needs to perform AML on every holder, which would be bad news for stablecoins

A contrasting view is to consider an analogy, such as whether a bond issuer has to perform KYC or AML relating to secondary market transactions in which it has no direct involvement. A different example is insurers only need to perform AML on beneficiaries at the point of payout. So a stablecoin issuer could execute KYC and AML at redemption.

However, this is a topic where we have yet to come to a definitive conclusion.

The many MiCA questions

After the detour on the separate AML legislation, one final point regarding MiCA is the considerable uncertainty around many aspects of the bill. But that is the norm for financial market regulations. The industry will lobby and the regulators will respond with answers to frequently asked questions.

Talking generally about financial services regulations, Ballon Ossio observed, “It’s surprising how sophisticated players are used to dealing with uncertainty in the context of financial services regulation.” He added, “If you come at it cold, there are lots of gaps in there that the market has dealt with through custom and now has become settled. That needs to happen with MiCA.”

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
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This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
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Why This Matters for Robotics
 
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Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
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  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
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Beyond Bittensor: The Rise of Physical AI Networks
 
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Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
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Train on Azure.
 
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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

💰 4. Financial & Market Concepts

  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

💡 Quick Cheat Sheet

"Not your keys, not your coins."

If you do not hold the private keys or seed phrase to your digital wallet, you do not truly own the assets inside it—a centralized entity or exchange does. Always prioritize security first as you explore the space.

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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

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XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

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