A bipartisan proposal in the U.S. House aims to consolidate criminal investigations into cryptocurrency theft, scams, and other digital asset-related crimes under a Department of Justice-led task force. The legislation envisions the DOJ as the principal federal coordinator, uniting the FBI, Homeland Security Investigations, and Treasury’s Financial Crimes Enforcement Network (FinCEN) to streamline evidence collection, blockchain forensics, asset tracing, and victim support across federal, state, and local law enforcement. According to Cointelegraph, the measure would also enable training and technical assistance for state and local agencies, with the task force coordinating international law enforcement collaboration on cross-border investigations and delivering annual threat assessments to Congress.

The proposal explicitly states that it would not authorize new regulation of cryptocurrency markets, would not expand the authority of federal agencies, and would not create new criminal offenses. Rather, its focus is on interagency coordination within the enforcement framework already responsible for financial crimes. The bill names Republican Representative Lance Gooden and Democratic Representative Josh Gottheimer as its sponsors. The text and accompanying materials have been referenced in reporting, including a link to the draft bill hosted by Gooden’s office.

The initiative also comes amid rising crypto-related losses and an expanding role for technology in investigations. The FBI’s 2025 Internet Crime Report highlighted that Americans reported more than $11 billion in crypto-related losses last year. In parallel, the crypto-analytic community is increasingly leveraging artificial intelligence to support casework.

The task force would engage with international counterparts on cross-border cases and would produce annual reports outlining emerging threats, enforcement challenges, and potential policy recommendations for Congress. The bill’s architects frame the measure as a coordination enhancement rather than a regulatory expansion, aimed at closing gaps in investigative workflows and ensuring consistency in evidence handling across jurisdictions.

The broader policy conversation surrounding this proposal sits alongside a growing emphasis on advanced analytics in crypto investigations. Industry players have rolled out AI-enabled tools designed to trace fund flows, audit transaction graphs, and support investigative decision-making. For example, TRM Labs recently introduced an AI-driven investigative assistant designed to aid crypto compliance and investigations, while Chainalysis announced a later rollout of similar AI-enabled agents for investigations and compliance. These developments reflect a trend toward more scalable forensics as criminals increasingly automate cross-chain activity. Regulatory and financial institutions will be watching closely how such tools intersect with AML/KYC regimes and cross-border enforcement norms.

Crypto-asset exploits continue to drive losses, underscoring the practical significance of enhanced investigative capacity. DeFiLlama data cited a monthly loss total of roughly $630 million in April, marking one of the largest monthly totals in recent months and reinforcing the argument for stronger, more coordinated enforcement and forensics capabilities. Related reporting indicates a broader push toward integrated law enforcement tools and international cooperation in tackling crypto crime.

Key takeaways

• A bipartisan bill would establish a Department of Justice–led task force to coordinate cryptocurrency crime investigations across federal, state, and local agencies, with a focus on best practices and evidence standardization.
• The initiative emphasizes cross-agency collaboration, blockchain forensics, asset tracing, victim support, and training, including international cooperation on cross-border cases.
• Importantly, the bill explicitly prevents new market regulation, expansion of federal authority, or creation of new criminal offenses; the aim is enhanced coordination within existing enforcement powers.
• AI-enabled analytics and blockchain-investigation tools are increasingly central to crypto crime workflows, shaping how investigators trace flows and identify illicit networks.

Legislative framework and enforcement architecture

According to Cointelegraph, the proposal would position the DOJ as the central federal coordinator for cryptocurrency-crime investigations, consolidating activities among the FBI, Homeland Security Investigations, and FinCEN’s enforcement arm. The task force would develop and disseminate best practices for evidence collection, blockchain forensics, asset tracing, and victim support, while providing training and technical assistance to state and local law enforcement agencies. The legislation envisions annual reporting to Congress on emerging threats and enforcement challenges, and it calls for collaboration with international law-enforcement partners to advance cross-border investigations. The sponsors emphasize that the measure is a coordination mechanism rather than a vehicle to regulate markets or expand federal power.

For compliance and oversight teams, the architecture signals a potential shift toward standardized investigation workflows and shared standards for digital-asset evidence. As authorities align practices across jurisdictions, exchanges, custodians, and banks could face more uniform expectations for information sharing and cooperation in criminal investigations.

Technology and investigative capabilities

The bill arrives at a moment when private-sector blockchain intelligence firms are integrating AI into investigative workstreams. In early 2025, TRM Labs announced an AI-assisted investigative assistant designed to trace flows, audit transaction graphs, and propose next steps from natural-language prompts, reflecting a broader industry trend toward scalable forensics. Chainalysis subsequently indicated that its own AI-enabled agents would roll out to support investigations and compliance functions, underscoring a parallel shift toward automated, data-driven intelligence in crypto-crime response. The integration of AI tools—while increasing efficiency—also raises considerations for accuracy, bias, and governance within enforcement workflows.

These tools are increasingly central to how investigators identify illicit activity, parse complex transaction networks, and reconstruct schemes that span multiple chains and jurisdictions. As enforcement bodies scale with these capabilities, firms operating in the crypto ecosystem should anticipate evolving expectations around data transparency, reporting, and collaboration with law enforcement under applicable AML/KYC regimes and cross-border frameworks.

Regulatory policy and market implications

The proposed framework represents a structural approach to enforcement coordination rather than a new regulatory regime. By clarifying roles and standardizing practices across agencies, the bill could influence how exchanges, banks, and institutional investors approach risk management and regulatory compliance. In the broader policy landscape, the development complements ongoing regulatory oversight at the federal level while existing frameworks for monitoring and supervising crypto markets remain distinct from the substance of this enforcement-oriented initiative. Observers will be attentive to how annual congressional reporting shapes understanding of threats and informs any future policy considerations.

Overall, the measure highlights a continued convergence between legislative intent and technological tools in the fight against crypto crime. As cross-border investigations intensify and illicit actors increasingly leverage automation, coordinated, well-governed enforcement mechanisms will be critical to maintaining resiliency in the digital-asset ecosystem.

Closing perspective: If advanced oversight and interagency coordination proceed, the sector should monitor the pace of funding, the scope of interagency collaboration, and the cadence of annual threat assessments—factors that will shape enforcement posture and compliance expectations in the months ahead.

BEAT, the native token of AI music platform Audiera, has exploded higher over the past month, surging more than 1,500% to a record high of $9.20 even as Bitcoin (BTC) and Ether (ETH) fell roughly 25% and 30%, respectively, in the same period.

BEAT/USD vs. BTC/USD and ETH/USD 1-month price performance. Source: TradingView

Key takeaways:

• Strong platform revenues mixed with excessive short liquidations send BEAT’s price higher.
• The AI token is now at its most overbought stage, which may prompt a 35% dip in the coming days.

Why is Audiera’s BEAT price up so much?

BEAT’s sharp outperformance has turned it into one of crypto’s hottest AI-linked trades, driven by a mix of platform revenue claims, token burns, and short liquidations.

Audiera revenue and token burns strengthen BEAT bull case

BEAT’s rally has gained momentum from Audiera’s revenue-and-burn model, which has given traders a stronger value-capture story to chase.

The project reported 772,045 BEAT in weekly revenue between June 1 and June 8, worth about $2.87 million at its stated price of $3.712. During the same period, Audiera said it burned 770,545 BEAT, taking the total burned supply to 12.35 million BEAT.

Source: X

Burns reduce BEAT’s available or future supply against its fixed 1 billion-token cap, strengthening the scarcity narrative when demand is rising.

This resembles Hyperliquid’s HYPE token economics, which have seen 120% price gains so far in 2026.

Related: Hyperliquid bear turns bullish after losing over $46M shorting HYPE

However, Hyperliquid has already shown strong product-market fit in perpetual trading, while Audiera’s model remains newer and less tested. That leaves BEAT vulnerable to sharp profit-taking if revenue slows, burn activity weakens, or speculative demand cools.

Short squeeze helps fuel BEAT rally

BEAT’s rally has received a strong boost from derivatives liquidations, particularly from traders betting against higher prices.

Since May, BEAT has seen $28.72 million in short liquidations, compared with $13.74 million in long liquidations. That means bearish traders lost more than twice as much as bullish traders during the rally.

BEAT’s daily aggregated liquidation bar chart. Source: TradingView

This imbalance points to a classic short squeeze. As the BEAT price kept rising, traders holding short positions were forced to close their bets. Since closing a short position requires buying back the token, those liquidations added more upward pressure to the price.

That helped turn BEAT’s rally from a strong uptrend into a vertical move.

However, it also means part of the surge came from forced buying rather than steady spot demand. Once short-liquidation pressure fades, BEAT may need fresh buyers to keep the rally going.

BEAT price may decline 35% in June

BEAT’s price explosion over the past month has made its relative strength index (RSI), which gauges momentum, the most overbought on record.

As of Thursday, BEAT’s daily RSI reading was 96.87, way above its overbought threshold of 70. In other words, the Audiera token’s rally remains vulnerable to a sharp pullback if buyers lose momentum or early investors start booking profits.

BEAT/USDT daily price chart. Source: TradingView

A decisive pullback from the $9.47 resistance level, which aligns with the 1.618 Fibonacci retracement line, increases the odds of BEAT falling toward the 1.0 Fib line at around $3.71, down roughly 35% from the current price, in June.

Conversely, a clear breakout above the $9.47 resistance level raises BEAT’s potential to rise toward its 4.236 Fib line above the $15 mark in the coming weeks.

The 2026 FIFA World Cup could mark a breakout moment for prediction markets, with Coinbase emerging as one of the biggest winners, according to a new research report from Bernstein.

Published Thursday, the Bernstein analysts estimate the expanded tournament will generate more than $3 billion in incremental sports betting handle and $5 billion to $10 billion in additional consumer prediction market volume, as 104 matches transform what is typically the slowest period for online sports betting.

FIFA expects the month-long tournament to attract roughly 6 billion viewers worldwide, up from an estimated 5 billion during the 2022 World Cup in Qatar. Matches are scheduled to start today.

Bernstein said Coinbase has established itself as a major player in the sector, surpassing $100 million in annualized prediction market revenue in March, just months after launching the product.

As Cointelegraph reported, the crypto exchange rolled out prediction markets nationwide through a partnership with Kalshi, allowing users in all 50 US states to trade event contracts tied to sports, politics, culture and other real-world outcomes.

Robinhood is also expected to benefit from the tournament. Bernstein noted that the brokerage is using the event to launch Rothera, its own US Commodity Futures Trading Commission (CFTC)-licensed exchange and clearinghouse for prediction markets.

“[W]e expect prediction markets to be the biggest driver of incremental revenue for Robinhood,” the analysts wrote, forecasting roughly $586 million in prediction market revenue for 2026.

Bernstein expects the FIFA World Cup to transform the slowest months for online sports betting into a major driver of betting and prediction market volumes. Source: Bernstein

Related: Coinbase fends off Nevada’s emergency bid to halt prediction markets

Sports emerge as prediction markets’ biggest growth driver

Prediction markets have become one of crypto’s fastest-growing use cases, expanding even as the broader digital asset market has cooled.

An April report by Bitget Wallet and Polymarket found that monthly prediction market trading volume reached nearly $26 billion, with retail traders accounting for more than 80% of users.

Prediction market volumes have grown considerably since late 2025. Source: Bitget Wallet

The report also pointed to a structural shift in user behavior. Rather than attracting activity around one-off events such as elections, prediction markets are increasingly retaining users across recurring categories, with sports emerging as the largest segment.

In March alone, sports betting accounted for more than 39% of prediction market volumes, according to Bitget Wallet and Polygon.

The CFTC on Wednesday issued draft rules for prediction markets signaling that sports event contracts are generally not contrary to the public interest even though federal law classifies them as “gaming.”

Related: Kalshi, Polymarket eye $20B valuations in potential fundraising: WSJ