The Era of Chatting With AI Is Over

In 2024, the world was fascinated by conversational AI. Millions of people spent hours asking chatbots to write emails, summarize reports, generate code, or create artwork. AI was viewed primarily as a digital assistant—powerful, but ultimately waiting for human instructions before taking action.

By 2026, that relationship will have fundamentally changed.

We are no longer simply talking to AI.

We are hiring it.

Across decentralized finance (DeFi), autonomous AI agents are becoming active participants in the global financial system. These digital workers don’t sleep, don’t take vacations, and don’t wait for human approval before performing routine tasks. Equipped with their own Web3 wallets, they can execute trades, rebalance investment portfolios, provide liquidity, monitor market conditions, participate in governance, and negotiate with other AI agents—all without constant human supervision.

This represents one of the biggest paradigm shifts since the invention of blockchain itself.

The next generation of blockchain users won’t primarily be humans typing on keyboards. Instead, they’ll be intelligent software agents operating around the clock, making thousands of financial decisions every second.

While this future promises extraordinary efficiency, it also introduces a critical challenge that existing financial regulations were never designed to solve.

The Identity Crisis of Autonomous Finance

Traditional finance depends heavily on identity verification.

Banks ask for passports.

Crypto exchanges require government-issued identification.

Financial institutions perform Know Your Customer (KYC) checks before allowing users to move capital.

The purpose is simple: every financial action must ultimately be linked to a legally accountable human being.

KYC has served this role for decades because financial systems assumed one basic truth:

Every account belongs to a person.

Autonomous AI changes that assumption completely.

An AI trading agent has no passport.

• It has no face.
• It has no nationality.
• It cannot sign legal documents.
• It cannot appear in court.
• It exists only as software running across a decentralized infrastructure.

Yet these agents are increasingly capable of controlling significant amounts of digital assets.

Imagine an AI managing a $50 million treasury across multiple blockchains. It continuously searches for yield opportunities, shifts liquidity between protocols, executes arbitrage strategies, and votes in decentralized governance.

If that AI accidentally exploits a vulnerability—or is manipulated into laundering illicit funds—who bears responsibility?

The blockchain only sees a wallet address.

Regulators see an unidentified financial actor.

Current compliance frameworks simply don’t have an answer.

Why KYC Isn’t Enough Anymore

KYC was built for people.

It was never designed to verify autonomous software acting independently.

Even if the developer behind an AI passes KYC, several unanswered questions remain:

• Which AI model is operating?
• Has the code been modified?
• Who owns the agent today?
• What permissions does it possess?
• What financial actions is it authorized to perform?
• Can it be audited after making thousands of autonomous decisions?

These questions concern behavior—not merely identity.

In autonomous finance, trust extends beyond knowing who created an agent.

We must also understand how that agent behaves.

Enter KYA: Know Your Agent

To address this emerging challenge, the crypto industry is developing a new compliance framework:

Know Your Agent (KYA).

Rather than identifying only humans, KYA focuses on verifying autonomous digital entities while maintaining a clear connection to legal accountability.

Think of KYA as creating a digital identity passport for AI agents.

A verified AI agent could include:

• Cryptographically signed software identity
• Verified developer credentials
• Transparent ownership records
• Permissioned operational limits
• Audit trails of autonomous decisions
• Reputation scores based on historical behavior
• Continuous security monitoring
• Regulatory compliance metadata

Instead of asking, “Who owns this wallet?”

KYA asks a more sophisticated question:

“Can this autonomous agent be trusted to operate safely within financial markets?”

One of KYA’s most important functions is preserving accountability.

AI may make decisions independently, but legal responsibility cannot disappear.

Every autonomous financial agent ultimately needs a chain of accountability that links:

Developer → Organization → AI Agent → Blockchain Wallet → Financial Activity

This creates a verifiable relationship between machine execution and human responsibility.

If an AI behaves maliciously, investigators can identify:

• Who deployed it
• Who authorized it
• What software version was running
• Whether its permissions exceeded approved limits
• Whether its behavior deviated from its intended purpose

Without these connections, financial systems risk becoming impossible to regulate.

Why This Matters for DeFi

Decentralized finance was originally built for permissionless human participation.

Soon, however, AI agents may outnumber human users.

Imagine thousands of autonomous liquidity managers competing across protocols.

AI market makers are continuously adjusting prices.

DAO treasuries are governed by intelligent agents.

Cross-chain arbitrage bots negotiate directly with one another.

Tokenized investment funds managed entirely by AI.

This machine-driven economy could dramatically increase efficiency while reducing operational costs.

But it also raises new risks:

• Coordinated AI market manipulation
• Autonomous flash loan attacks
• AI-generated phishing operations
• Self-replicating malicious agents
• Untraceable financial fraud
• AI collusion across multiple blockchains

Traditional compliance cannot adequately monitor this environment.

KYA provides the trust layer necessary for autonomous finance to scale responsibly.

Building Trust Without Sacrificing Decentralization

Critics often worry that stronger compliance means sacrificing decentralization.

KYA offers a more balanced approach.

Instead of requiring every protocol to become a centralized gatekeeper, decentralized identity technologies can enable agents to prove trustworthiness cryptographically.

This may involve:

• Decentralized identifiers (DIDs)
• Verifiable credentials
• Zero-knowledge proofs
• Onchain reputation systems
• Smart contract attestations
• Cryptographic software signatures

In this model, AI agents can demonstrate compliance without revealing unnecessary private information.

Trust becomes programmable rather than bureaucratic.

The Road Ahead

The rise of autonomous AI is transforming blockchain from a network of human users into an economy of intelligent machines.

This evolution demands more than faster blockchains or smarter algorithms.

It requires an entirely new model of digital trust.

KYC helped establish accountability in the age of human-driven finance.

KYA will help establish accountability in the age of machine-driven finance.

The transition won’t happen overnight. Standards must be developed, regulations modernized, and technical infrastructure built to support verified autonomous agents. But the direction is becoming increasingly clear.

The future of Web3 won’t simply be decentralized.

It will be autonomous.

And in a world where AI agents execute transactions worth millions of dollars every minute, trust can no longer stop at verifying people—it must also verify the intelligent systems acting on their behalf.

Conclusion

The conversation around artificial intelligence has evolved from interaction to delegation. As AI agents become active participants in decentralized finance, identity verification must evolve as well. Know Your Agent (KYA) represents more than a compliance upgrade; it is the foundation for a secure, transparent, and accountable machine economy.

The next chapter of blockchain won’t be defined solely by smart contracts or decentralized applications—it will be shaped by autonomous agents making real-time financial decisions on behalf of individuals, institutions, and entire ecosystems. Ensuring these agents are verifiable, auditable, and accountable will determine whether the AI-powered Web3 economy becomes a trusted financial revolution or an unregulated frontier.

The age of chatting with AI has ended. The age of trusting AI has begun.

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A dormant Bitcoin address transferred 30 BTC worth about $1.88 million for the first time in almost 15 years.

Bitcoin address “1KV47” made its first outgoing transfer on Saturday since receiving 30 BTC in August 2011, blockchain data shared by Galaxy Research shows.

The address is among 39,069 listed in a New York lawsuit filed by “Noah Doe” and two Wyoming-based companies seeking ownership of dormant Bitcoin holdings. The case could test how inactive cryptocurrency holdings are treated under the state’s lost-property law.

The listed addresses include those widely associated with Bitcoin creator Satoshi Nakamoto and collectively hold an estimated 3.7 million BTC worth about $234 billion, according to Sani, founder of analytics platform Timechain Index.

More dormant Bitcoin addresses tied to the New York lawsuit have been waking up, with 31 of them moving 17,527 BTC in June, up from five that transferred 4,834 BTC in February, according to Galaxy Digital head of research Alex Thorn.

Source: Alex Thorn

Related: Irish authorities seize another 500 Bitcoin, bringing 2026 total to 1,500 BTC

Can dormant Bitcoin holdings be considered “lost” property? 

On Friday, a defendant, identifying themselves as “John Doe 33,” who claims to control one of the dormant Bitcoin addresses, filed a motion to dismiss the lawsuit, arguing that Bitcoin addresses are merely data strings that cannot be sued. 

A New York court can adjudicate rights in intangible property, but it does not have the authority to convert public addresses into “found” property just because the plaintiff copied these addresses to a hard drive, Edwin Mata, lawyer and CEO of tokenization platform Brickken, told Cointelegraph.

He added:

The core flaw is that inactivity is not abandonment. Under property law, abandonment generally requires intent to relinquish rights, and a dormant Bitcoin address proves none of that.” 

The Bitcoin addresses named in the lawsuit may also represent Bitcoin held in long-term cold storage, coins with lost keys, or simply a holder who refuses to move them. Without private keys needed to control the assets, the foundation of the lawsuit remains “very weak,” Mata said. 

 The supply of Bitcoin has been dormant for the past five and 10 years. Source: Bitbo

Magazine: How crypto laws changed in 2025 — and how they’ll change in 2026

NZD/CHF remains locked in a tight range as traders await the next monetary policy catalyst.

The Reserve Bank of New Zealand heads into Wednesday’s meeting on shaky ground. After May’s 3-3 split was resolved by a casting vote, the committee still lifted its rate path sharply, eyeing a 3.28% terminal rate by 2029. But the oil slide following the US-Iran truce has cut hike odds from over 80% to around 66-70%, splitting major banks between a hold and a further move.

Meanwhile, the Swiss National Bank holds firm at 0% for a fourth straight meeting. Switzerland’s challenge mirrors New Zealand’s in reverse: subdued inflation rather than overheating, leaving little room—or need—for tightening. The franc’s strength stems more from so-called safe-haven flows than rate differentials.

The result: NZDCHF caught between short-term RBNZ uncertainty and near-static Swiss policy, with direction hinging on Wednesday’s decision.

Technical Analysis of NZD/CHF

NZD/CHF remains locked in a broader consolidation on higher timeframes, trapped between resistance at 0.4660-0.4690 and support at 0.4540-0.4560. Price is now compressing into a tighter triangle just below the 100-period EMA, which continues to cap upside as dynamic resistance.

Bullish Scenario

Fundamentally, a hawkish RBNZ surprise on Wednesday—hiking despite the oil-driven pullback in tightening expectations—would give the kiwi a strong tailwind. Technically, buyers first need to break the descending trendline capping price since late May, already rejected on several attempts. Once cleared, the decisive test becomes the 0.4660-0.4690 resistance zone. A genuine breakout would likely require both a strong NZD fundamental catalyst and confirming technical momentum.

Bearish Scenario

Conversely, a dovish hold—as several major banks now expect—could reignite downside pressure. Technically, sellers first need to break the ascending trendline price has leaned on in recent sessions, then push through the more significant 0.4540-0.4560 support. Notably, the 100-period EMA continues to act as reliable dynamic resistance, keeping price capped beneath it and reinforcing the bearish structure until proven otherwise.

Two central banks, two opposite stories: RBNZ still weighing when to tighten, SNB content to sit still. Wednesday’s decision could finally break this narrowing range — will the kiwi’s rate case win out, or does the franc’s quiet resilience hold firm?

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Bitcoin touched $63,882 overnight before retreating to around $62,900, per CoinDesk data. The 24-hour high of $63,900 held briefly before sellers pushed it back down.

Thursday’s U.S. jobs report came in weaker than expected, giving liquidity-sensitive assets a lift heading into the weekend.

A weakening jobs market makes a Fed hike less likely and gradually shifts the backdrop that pushed ETF investors out of bitcoin through June. That process takes time, and one print does not flip the setup. The July 14 CPI release is the next data point that could either extend the relief or further cap an early-July rally.

The broad US market index, the S&P 500, has entered July against a backdrop of mixed signals from the labour market. The Bureau of Labor Statistics report released on 2 July showed that just 57,000 jobs were added in June, well below market expectations, while the unemployment rate stood at 4.2%. Following the release, markets scaled back expectations of a Federal Reserve rate hike in September, although the possibility of an October increase remains. At the same time, the current 10% global tariff is due to expire at the end of July, and markets are gradually pricing in uncertainty surrounding future trade policy decisions.

Technical Outlook

On the four-hour chart, the S&P 500 (SPXm on FXOpen) remains in a consolidation phase following the uptrend that began on 31 March. After peaking near 7,600, the index declined to around 7,250 before forming a symmetrical triangle, with the descending upper trendline and the ascending lower trendline gradually converging. Since the beginning of July, the price has remained above the upper boundary of the current market profile at 7,460, repeatedly testing the triangle’s descending trendline but failing to break above it. Resistance is located around 7,580.

The narrowing range has been accompanied by declining volume, with the latest wave of the triangle noticeably quieter than the previous one, a typical feature of a maturing consolidation pattern. The highest concentration of horizontal volume (POC) is located near 7,394, while the lower boundary of the current profile sits around 7,300. Should the index move lower, these areas could provide support before any attempt to break below the ascending side of the triangle and potentially reach the 7,260 support level. The RSI + MAs indicator currently reads 59, 57 and 55. Although all three values remain above the neutral zone, they do not yet indicate a clear directional bias.

Summary

The POC zone remains the key reference point if the rejection from the triangle boundary develops into a broader decline. Meanwhile, the RSI + MAs indicator continues to hold above neutral without showing a strong trend. Looking ahead, tariff-related uncertainty may become the more significant driver for the index over the coming weeks, as the expiry of the current 10% global tariff at the end of July could trigger a shift in market sentiment.

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This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

Blockchain security firm Coinspect says a class of “recovery phrase” wallets may be vulnerable to draining due to the way some wallets generate their seed—specifically, the use of weaker-than-intended randomness during recovery phrase creation. The issue, which Coinspect calls “Ill Bloom,” has been tied to unauthorized fund movements on multiple networks and has already resulted in at least $5 million in drained cryptocurrency, the firm reported.

Coinspect linked the risk to certain software wallets that generate seed phrases using an insecure pseudorandom number generator. The firm says wallets created as far back as 2018 could be affected, and it has released a wallet-checking tool so users can assess whether their addresses appear potentially exposed.

Key takeaways

• Coinspect reports the “Ill Bloom” risk is tied to weak randomness used when generating recovery phrases in some software wallets.
• The affected wallet address scope spans Bitcoin, Ethereum, Polygon, Rootstock, Tron, and Solana, with unauthorized movement tied to wallets generated as early as 2018.
• Coinspect says at least $5 million has been drained from exposed wallets since May 27, with an additional ~$2 million moved on Sunday (as reported by Coinspect).
• Coinspect states evidence suggests hardware-wallet-generated seeds are not affected, while the strongest candidates are users of lesser-known mobile software wallets.
• Coinspect is not publishing active-exploit details, but has released a tool for users to check whether their address is potentially exposed.

What Coinspect says is going wrong

In a disclosure published Sunday, Coinspect described “Ill Bloom” as an exploit path caused by weak randomness—an insecure pseudorandom number generator—used during recovery phrase generation on certain software wallets. In practical terms, if wallet seed generation doesn’t produce enough entropy as intended, attackers may be able to narrow the space of possible mnemonic phrases and systematically target wallets.

Coinspect said the issue may explain cases where funds were moved without permission. The firm also highlighted that the problem has been observed in wallets generated as early as 2018, and that the issue tends to show up more frequently in less prominent mobile software wallets rather than widely adopted products.

Networks involved and how much was stolen

Coinspect said it identified potentially exposed wallets across several networks: Bitcoin, Ethereum, Polygon, Rootstock, Tron, and Solana. In its reporting, the firm warned that the exploit may not be limited to those chains and addresses it has publicly analyzed.

According to Coinspect, data indicates that an attack starting May 27 compromised 431 wallets out of 2,114 vulnerable wallets. That activity resulted in total drained cryptocurrency of $3.1 million. Coinspect further stated that an additional $2 million was moved on Sunday from exposed wallets. While those numbers reflect the subset of wallets the firm analyzed, Coinspect cautioned that there may have been exploits on other networks and additional addresses—meaning the total number of affected wallets could be higher than its initial scope.

Coinspect also did not provide step-by-step information about the active exploit, stating that it is not publishing those details “at this stage.” Instead, it focused on helping users verify exposure and understand the underlying seed-generation weakness.

Hardware wallets vs. software wallets

One of the more consequential distinctions in Coinspect’s disclosure is who it believes is less likely to be affected. Coinspect said it has evidence suggesting that users who generated their seed with a hardware wallet are not impacted by the “Ill Bloom” risk.

Coinspect also argued that “most current software wallets” are likely not vulnerable. However, the strongest candidates, it said, are users who created seed phrases within less widely used mobile software wallets. That framing matters for day-to-day risk management: it suggests that the threat is not uniform across all software wallets, but rather tied to specific implementation choices around how entropy and pseudorandomness are produced during recovery phrase creation.

SlowMist, another security firm, also publicly acknowledged the alert on X on Monday, saying it was closely monitoring the issue reported by Coinspect.

A recurring vulnerability pattern in wallet security

“Ill Bloom” fits into a broader pattern that has appeared before in crypto wallet security: when the entropy or randomness behind seed generation is flawed, attackers can sometimes reduce the effective search space of possible recovery phrases.

In 2023, Ledger’s security team reported that wallet seeds generated using the Trust Wallet browser extension were vulnerable to brute-force attacks. Ledger said the issue came from limitations in how entropy was generated for new addresses, which reduced the total possible mnemonic combinations to roughly four billion—small enough that an attacker could attempt a search in under a day using only a few GPUs. Ledger also noted Trust Wallet patched the bug before funds were stolen.

The following year, another example highlighted by the wider security community involved Libbitcoin Explorer, where a vulnerability led to approximately $900,000 in crypto being stolen through private-key brute-forcing.

Coinspect’s disclosure underscores that even when theft doesn’t immediately occur, weak randomness in seed generation can create long-tail risk for users who created wallets years earlier, especially if those wallets were generated using the same flawed entropy logic.

What users can do now

Coinspect said it has released a wallet-checking tool so users can determine whether their address may be exposed. The immediate takeaway is that checking exposure may be more urgent than simply assuming a wallet is safe based on general brand reputation, since Coinspect’s analysis points to weaker randomness conditions in specific wallet implementations—particularly certain lesser-known mobile software wallets.

Users who notice unauthorized transactions should treat the situation as potentially related to seed-generation weakness, not just normal compromise or phishing. What remains uncertain is the full scale of exposure across all networks and addresses beyond Coinspect’s initial analysis, but the firm’s public tooling suggests that verification is the next practical step for holders.

But Ethereum now treats replacing every quantum-vulnerable part with a quantum-safe alternative as urgent, Buterin said, including a redesign of the cheap data storage that rollups, the layer-2 networks built on top of Ethereum, depend on.

Privacy has been raised to what Buterin called a ‘first-class goal’ rather than an afterthought. The plan calls for designing core network components so that private, intermediary-free transactions can pass through them by default.

The way the network checks itself is also changing. Instead of every node re-running every transaction, Ethereum plans to rely on recursive STARKs. This cryptographic proof method allows a node to verify a compact proof that the work was done correctly, rather than repeating it. That shift is meant to make the network faster and lighter to run.

As such, the change Buterin flagged as most disruptive is to what Ethereum calls state. State is a blockchain’s current memory, the complete snapshot of everything that exists on a network at a specific point in time.

Think of it as the running record of every account balance and all the data those contracts hold (such as who owns which NFT, how much is in a lending pool, every token ledger), as of the latest block.