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Enterprise AI Strategy Consulting to Fix ROI Collapse
Artificial intelligence spending is accelerating globally. Boards are approving larger budgets. Innovation teams are experimenting aggressively. Yet across North America, Europe, and Asia-Pacific, enterprise leaders are facing the same uncomfortable reality: AI investments are not translating into measurable enterprise value. The problem is not model accuracy. It is structural misalignment. When AI initiatives operate independently without a unified enterprise AI strategy, ROI erosion becomes inevitable. Disconnected deployments create fragmented data ecosystems, unclear financial attribution, governance exposure, and diluted competitive advantage.
This is precisely why leading enterprises are turning toward structured AI strategy and consulting services to transform scattered AI experimentation into disciplined, value-driven enterprise transformation.
The Structural Problem: AI Without Enterprise Architecture
Many organizations adopt AI in pockets:
- Marketing launches personalization engines
- Finance deploys forecasting models
- Operations experiments with automation
- HR introduces AI-driven talent tools
Individually, these initiatives appear progressive. But collectively, they lack coordination. Without oversight from an experienced AI strategy consulting Company, enterprises unknowingly create:
- Redundant infrastructure investments
- Conflicting data standards
- Vendor sprawl
- Inconsistent governance protocols
- Limited enterprise-wide impact visibility
This fragmentation does not just reduce ROI. It destroys scalability.
Why ROI Collapses in Disconnected AI Environments
AI does not fail because it lacks intelligence. It fails because it lacks integration. When artificial intelligence is deployed without financial discipline, strategic sequencing, and governance alignment, ROI erosion becomes inevitable. The collapse is not dramatic; it is structural.
Industry Evidence: AI ROI Underperforms Without Enterprise Alignment
The risks of fragmented AI investment are not theoretical – they are substantiated by recent enterprise research.
A 2026 study from the IBM Institute for Business Value reports that while executives remain highly optimistic about AI’s long-term revenue contribution, many organizations acknowledge significant integration challenges across operating models, data architecture, and financial planning. The research highlights a clear execution gap between AI ambition and enterprise-wide value realization.
Complementing this, Gartner’s 2025 survey on AI strategy adoption found that only a small minority of organizations, for example, just 23% of supply chain leaders, reported having a formal AI strategy in place. This indicates a broader enterprise trend: most AI spending occurs without a structured strategy or governance, which in turn makes measurable ROI harder to achieve.
Taken together, these findings reinforce a critical point: AI performance is not determined by model sophistication alone. It is determined by architectural alignment across financial, operational, and governance dimensions.
1. Financial Detachment
AI initiatives frequently lack alignment with capital allocation models. When projects are not embedded into structured financial planning, leadership cannot measure EBITDA contribution, cost compression, or margin expansion.
A mature AI strategy consulting for enterprises approach ensures every initiative is linked directly to financial performance indicators.
2. Absence of Enterprise Sequencing
Disconnected AI projects often launch simultaneously without prioritization logic. This overwhelms data teams, strains infrastructure, and slows adoption.
A structured AI roadmap development framework ensures that investments are sequenced according to clear strategic priorities. Rather than launching parallel initiatives without coordination, organizations align AI programs based on:
- Strategic leverage across the value chain
- Scalability across business units
- Measurable financial impact
- Regulatory and governance complexity
When sequencing is absent, AI initiatives compete for resources, dilute focus, and create operational noise instead of enterprise value.
3. Governance Risk Amplification
Global regulatory scrutiny is intensifying. From evolving AI regulatory frameworks across the EU and other major markets to risk-based governance expectations across international markets, enterprises must embed accountability into AI architecture.
Without expert AI Strategic Advisory, organizations face:
- Model bias risks
- Compliance violations
- Reputational damage
- Legal exposure
Disconnected governance models are no longer sustainable.
4. Value Attribution Failure
One of the most common executive frustrations is the inability to quantify AI returns. This is where structured AI value engineering services become essential. Instead of asking whether an algorithm works, leadership evaluates:
- Revenue uplift contribution
- Cost avoidance metrics
- Productivity amplification
- Risk-adjusted return
A disciplined AI value engineering framework transforms AI from experimental expenditure into a measurable performance driver.
The Enterprise Solution: From Fragmentation to Financial Engineering
To fix disconnected AI, enterprises must move beyond tool deployment toward architectural transformation. Here is the structured approach that leading organizations follow:
Step 1: Enterprise AI Portfolio Audit
An experienced AI Consulting Services team evaluates:
- Existing AI initiatives
- Vendor landscape
- Data infrastructure maturity
- Governance gaps
- Financial alignment
This diagnostic phase uncovers duplication, inefficiencies, and unrealized value.
Step 2: Define a Unified Enterprise AI Strategy
A robust enterprise AI strategy defines:
- Where AI drives margin expansion
- Which workflows become autonomous
- How predictive intelligence compresses decision cycles
- How compliance architecture mitigates regulatory exposure
- How workforce capability evolves
This ensures AI investments align with long-term strategic differentiation.
Step 3: Implement AI Strategy and Value Engineering Services
Through integrated AI strategy and value engineering services, enterprises establish:
- Capital allocation models for AI
- Risk-adjusted ROI forecasting
- Performance attribution dashboards
- Continuous optimization loops
This is the foundation of sustainable AI business value optimization.
Step 4: Redesign Operating Models
Advanced AI Business Strategy Services embed intelligence directly into
- Market expansion planning
- Supply chain resilience modeling
- Capital allocation simulations
- Risk forecasting systems
AI should not optimize yesterday’s process. It must redefine tomorrow’s competitive structure.
What Differentiates Elite AI Strategy Consulting
Not all AI providers are created equal. A truly leading AI strategy consulting Company operates at the intersection of business insight, technical expertise, and enterprise-scale transformation. What differentiates top-tier firms is their ability to move beyond deploying isolated tools and instead create systemic, organization-wide value.
1. Financial Engineering Expertise
Enterprise-focused providers integrate AI initiatives directly into capital planning and financial strategy. They quantify potential ROI, optimize investment allocation, and ensure AI contributes to margin expansion, cost reduction, and risk-adjusted performance. Every project is evaluated not as a technical experiment, but as a strategic capital allocation decision that drives measurable business outcomes.
2. Governance Architecture Mastery
Top-tier consulting firms design robust governance frameworks that enforce accountability, compliance, and operational resilience. They embed regulatory foresight, data stewardship, and ethical AI practices into enterprise architecture, ensuring AI scales safely across departments and global markets without regulatory or reputational exposure.
3. Cross-Industry Implementation Depth
Leading AI consultants bring experience from multiple industries, enabling them to apply proven frameworks, accelerate deployment, and anticipate domain-specific challenges. Whether in finance, manufacturing, supply chain, or marketing, they translate AI potential into actionable enterprise strategies, avoiding common pitfalls that siloed initiatives encounter.
4. Enterprise Transformation Leadership
Experienced advisors don’t just implement technology; they transform organizations. They guide leadership in redesigning workflows, integrating predictive intelligence into operations, and aligning workforce capabilities with AI-driven decision-making. The focus is on creating an intelligence infrastructure that becomes a durable competitive advantage, not a collection of disconnected pilots.
The difference is clear: Tools alone don’t drive results. Leading AI strategy consulting Companies architect intelligence ecosystems that convert AI initiatives into measurable business impact and sustainable advantage.
The Global Competitive Reality
Across global markets, AI maturity is no longer experimental; it is a competitive differentiator. Enterprises that integrate AI into their core operating architecture are not just improving efficiency; they are building structural advantages that compound over time:
- Proprietary data flywheels that continuously strengthen decision accuracy
- Autonomous operational systems that reduce latency and human dependency
- Predictive capital allocation engines that optimize investments in real time
- Accelerated innovation cycles powered by continuous intelligence feedback
These organizations are embedding intelligence into the foundation of how they compete. In contrast, companies running scattered AI pilots experience the opposite effect. Instead of compounding advantage, they accumulate technical debt, governance risk, and operational complexity.
The result is a widening intelligence divide. AI leaders are scaling clarity, speed, and precision. Others are scaling experimentation without integration. In a market where decision velocity and predictive foresight determine competitive position, that gap does not remain static; it expands.
If AI isn’t aligned to capital strategy, it isn’t aligned at all.
Disconnected AI does not fail because the technology is weak. It fails because the architecture is missing. Enterprises that operate without a unified enterprise AI strategy will continue to see fragmented impact, unclear ROI, and rising governance complexity.
The path forward is disciplined integration through structured AI strategy and consulting services, measurable AI value engineering services, and executive-level AI Strategic Advisory that aligns intelligence with capital strategy and competitive positioning.
If AI investment has not translated into a measurable financial impact, the issue is not technology. It is architecture. Antier delivers enterprise AI strategy consulting that aligns intelligence with capital, governance, and competitive advantage.
Bitcoin traded around $68,780 on Tuesday as U.S. spot bitcoin ETFs posted their strongest daily inflow in more than a month.
Funds added a combined $471 million on April 6, according to SoSoValue data, marking the largest inflow since Feb. 25 and the sixth-biggest daily total this year. The figure remains below January’s peak flow regime, when multiple trading days topped $700 million.
These high inflows come as bitcoin continues to stall below $70,000, with weak spot demand and distribution by large holders capping upside. ETFs have increasingly offset that pressure, acting as a primary source of marginal buying.
Macro signals offer limited direction. Markets are pricing a 98% probability that the Federal Reserve will hold rates steady at its April meeting, according to Polymarket data, with minimal expectations for near-term cuts or hikes.
Bitcoin’s relationship with global monetary policy may be shifting, with ETFs changing not just the scale of demand but its timing.
A recent Binance Research report finds bitcoin’s correlation with its Global Easing Breadth Index, which tracks 41 central banks, has turned sharply negative since 2024, the same year U.S. spot ETFs were approved. Before then, bitcoin tended to follow easing cycles with a lag. That relationship has now flipped, with the inverse effect nearly three times stronger.
The shift reflects who sets the marginal price. Retail once reacted to macro after the fact. ETF-driven institutional flows are more forward-looking, positioning ahead of expected policy moves.
“BTC may have evolved from a macro ‘lagging receiver’ to a ‘leading pricer,’” Binance Research wrote.
ETF inflows continue to absorb supply and anchor prices, which could explain the continued daily inflow.
If what Binance Research proposes holds, bitcoin may keep trading as a forward-looking asset, pricing in central bank pivots before traditional markets rather than reacting to them after the fact.
Total US bankruptcy filings climbed 14% in the first quarter of 2026, reaching 150,009 cases between January and March, up from 132,094 during the same period last year.
The increase spans consumer and commercial categories alike, according to data from Epiq AACER published by the American Bankruptcy Institute (ABI).
US Bankruptcy Filings Surge As Inflation Takes Its Toll
Small business filings showed the most dramatic acceleration. Subchapter V elections surged 67% to 833 from 499 a year earlier. Commercial Chapter 11 filings also rose 37%, climbing from 1,764 to 2,422.
Consumer filings told a similar story. Individual Chapter 7 cases increased 17% to 89,259. Chapter 13 filings rose 8% to 51,962. Total consumer filings reached 141,573. But what’s behind the rise?
“Persistent inflation, high interest rates, restricted credit, and global instability continue to compound the economic challenges of struggling families and small businesses,” ABI Executive Director Amy Quackenboss stated.
The Federal Reserve Bank of New York’s latest report on household finances underlines the pressure. Household debt hit $18.8 trillion by the end of Q4 2025. Credit card balances reached $1.28 trillion, with notable deterioration in mortgage and student loan arrears as well.
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Legislative Response and Outlook
Congress is weighing measures to ease access to bankruptcy protection. Legislation introduced recently by Senator Chuck Grassley in the Senate and Representative Ben Cline would permanently raise the small business reorganization threshold for Chapter 11 to $7.5 million. It would also lift the Chapter 13 debt ceiling to $2.75 million.
However, relief may not come quickly. The IMF has projected that US inflation will not return to the Fed’s 2% target until early 2027, suggesting elevated borrowing costs will persist well into next year.
Meanwhile, the US national debt recently surpassed $39 trillion, adding further strain to an already stretched fiscal environment. Whether legislative action can keep pace with growing financial distress remains an open question heading into Q2.
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The post US Bankruptcy Filings Spike 14% in Q1 2026: What’s Driving the Surge appeared first on BeInCrypto.
Rejection at $1.35 and collapsing depth raise risk of sharper moves as positioning builds.
Onchain evidence was key to securing the conviction of three individuals for terrorism financing in Indonesia in 2024 and 2025, reflecting a clear shift in the way courts value onchain evidence.
“Indonesian courts have demonstrated that cryptocurrency evidence — wallet addresses, transaction histories, on-chain flows — is not only admissible but can anchor a terrorism financing prosecution,” TRM said in a statement Sunday.
TRM said terrorism financing networks have preferred cryptocurrency as a mechanism of choice to move money, as authorities and regulators have been slow to treat it with the same level of scrutiny as traditional fiat channels, but noted that this is now changing.
Indonesian authorities traced one defendant sending more than $49,000 worth of USDt (USDT) across 15 transactions from a local exchange to a foreign platform, with the funds later routed to an ISIS-linked terrorism fundraising campaign in Syria, according to the blockchain firm.
Indonesia’s financial intelligence team and its counterterrorism police unit, Densus 88, carried out the analysis and presented the findings to Indonesian courts, which accepted the blockchain data as key evidence in each of the three cases.
Indonesia is not the only country in Southeast Asia using blockchain analytics to catch criminals, TRM said.
“Similar patterns are emerging across Southeast Asia, where governments are investing in blockchain intelligence capabilities and enhancing collaboration between public and private sectors to address illicit finance risks.”
TRM Labs said that Singapore and Malaysia’s financial intelligence units and law enforcement agencies are also building the technical capacity to trace cryptocurrency flows.
Related: Drift Protocol says $280M exploit took ‘months of deliberate preparation’
On April 1, Cambodian and Chinese officials captured Li Xiong, a leader of the Huione Group, an organization that served scam centers in Cambodia that carried out “pig butchering” frauds and other investment schemes to steal crypto from victims around the world.
Xiong was extradited to China, where he is set to face fraud and money-laundering charges.
His extradition came three months after the arrest of Chen Zhi, the head of Prince Group, which operates Huione Group.
TRM reported in February that illicit entities received about $141 billion worth of stablecoins in 2025, marking a five-year high.
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Iran reportedly struck Jubail Industrial City in Saudi Arabia’s Eastern Province on April 7.
According to media reports, Iranian ballistic missiles and drones sparked large fires at the site. Jubail is one of the world’s largest industrial hubs and a cornerstone of Saudi Arabia’s petrochemical sector.
“Jubail and Yanbu (where Saudi has its second largest petrochemical complex) account for 85% of Saudi Arabia’s non-oil exports,” Theti Mapping wrote.
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According to Drop Site, an adviser to Iranian Parliament Speaker Mohammad Bagher Ghalibaf posted on X that Tehran considers Saudi Arabia a “main instigator” alongside Israel. The advisor warned that,
“The damage it will inflict on Saudi Arabia and bin Salman’s financial partners in the Trump family is beyond calculation.”
What Iran’s Counter-Proposal Contains
Meanwhile, Iran has formally rejected Washington’s 15-point peace plan with a 10-point counter-framework.
The counter-framework conditions any deal on security guarantees against future attacks, a permanent end to the war, Israeli withdrawal from Lebanon, and full US sanctions relief.
Tehran also proposed reopening Hormuz in exchange for those concessions, but attached a $2 million-per-ship transit fee split with Oman. Iran would direct Hormuz fee revenues toward reconstruction rather than accepting formal war reparations.
The twin moves signal Tehran’s intent to negotiate from a position of strength, even as President Trump’s 8 PM ET Tuesday deadline for reopening the Strait of Hormuz approaches.
“Iran has clearly and overtly won the war and will only accept an ending that consolidates its gains and creates a new security regime in the region. The true state of affairs is this: it is Trump who has about 20 hours to either surrender to Iran or his allies will return to the Stone Age. We will not back down!” Mahdi Mohammadi, strategic adviser to Iranian Parliament Speaker Mohammad Bagher Ghalibaf, posted.
Polymarket traders continue to price slim odds on a near-term US-Iran ceasefire. The prediction platform assigns only a 3% chance of that happening by April 7.
The market impact of the latest escalation is clearly visible. Bitcoin (BTC) dipped roughly 2% to around $68,500 in early Tuesday. At the same time, Brent crude jumped over 1% past $111. Gold fell 0.54%, and silver dropped 1.1%.
US equity indices, however, held relatively stronger, with the Nasdaq Composite, Dow Jones Industrial Average, and Russell 2000 all posting modest gains.
Whether Tehran’s gambit forces a diplomatic breakthrough or triggers the infrastructure strikes Trump promised will likely become clear within hours.
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The post Iran Strikes Saudi Arabia’s Al Jubail Hours Before Trump’s Hormuz Deadline appeared first on BeInCrypto.
The Polygon Foundation confirmed the Giugliano hardfork will activate on mainnet at block 85,268,500, roughly 2 p.m. UTC on April 8.
The upgrade targets faster finality and improved fee transparency as part of the network’s broader push toward higher throughput for payments and tokenized assets.
What the Giugliano Upgrade Changes
The hardfork allows block producers to announce blocks earlier, reducing the time users wait for transaction confirmation to become irreversible.
Testing on the Amoy testnet last month showed a roughly two-second improvement in finality time.
Giugliano also embeds EIP-1559-style fee parameters directly into block headers. This gives developers and applications more efficient access to gas pricing data at the protocol level.
New Remote Procedure Call (RPC) endpoints accompany the fee changes. These let wallets and decentralized applications query fee information without relying on external estimations.
“This upgrade enables faster finality by letting producers announce blocks earlier, adds fee parameters directly in block headers, and introduces new RPC support for fee data,” Polygon shared.
Node operators must update Bor to v2.7.0 or Erigon to v3.5.0 before the activation block. Regular users and developers do not need to take any action.
A Stability Push After a Rough 2025
The upgrade arrives after a turbulent stretch for Polygon (POL) network reliability. In September 2025, a consensus bug caused finality delays of up to 15 minutes, prompting an emergency hard fork to restore normal operations.
Two months earlier, a validator exit triggered a bug in the Heimdall consensus layer that halted finality for roughly one hour.
Since then, the team has shipped several hardforks to tighten stability. The Madhugiri upgrade in December 2025 raised throughput to approximately 1,400 transactions per second.
The Lisovo hardfork in March 2026 added improvements to smart contract reliability and subsidized gas for AI agent transactions.
Part of the Gigagas Vision
Giugliano fits within Polygon’s Gigagas roadmap, announced in June 2025, which targets 100,000 TPS for global-scale payments and real-world asset settlement.
The phased plan began with the Bhilai upgrade in July 2025, which boosted throughput to over 1,000 TPS and reduced finality from over 60 seconds to roughly 5.
The network now processes around 2,600 TPS, with internal devnets reportedly hitting above 5,000. Whether faster finality and better fee tooling translate into sustained usage growth will depend on post-upgrade network data in the coming weeks.
Despite anticipation for the harfork, Polygon’s powering token, POL, was down by almost 5%, trading for $0.09003 as of this writing.
The post Polygon’s Giugliano Hardfork Signals a Stability Push After a Rough 2025 appeared first on BeInCrypto.
Crypto World
Bitcoin miners face a new rival for cheap power as Anthropic signs multi-gigawatt compute deal
Anthropic has announced a partnership with Google and Broadcom for “multiple gigawatts” of next-generation TPU compute capacity expected to come online starting in 2027, a commitment the company called its most significant to date as revenue growth accelerated to a $30 billion annual run rate from $9 billion at the end of 2025.
The scale of AI compute demand is now competing directly with bitcoin mining for the same scarce resources — grid connections, land permits, cooling infrastructure, and cheap electricity.
We’ve signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity, coming online starting in 2027, to train and serve frontier Claude models.
— Anthropic (@AnthropicAI) April 6, 2026
A Cambridge tracker estimates bitcoin mining draws roughly 13 to 25 gigawatts of continuous power globally depending on hardware efficiency assumptions.
Anthropic securing multiple gigawatts from a single deal, on top of existing capacity across AWS Trainium, Google TPUs, and Nvidia GPUs, shows just how quickly AI is becoming a peer-level competitor for the same energy infrastructure that miners depend on.
And Anthropic is one company. OpenAI, which raised $122 billion last week and described compute as a “strategic moat,” is building across an even wider infrastructure portfolio spanning five cloud providers and four chip platforms.
The aggregate AI compute buildout now represents one of the largest sources of new electricity demand in the United States, arriving at the same moment bitcoin miners are deciding whether to mine bitcoin or rent their infrastructure to AI companies.
That decision is increasingly going one direction. Core Scientific converted a significant portion of its mining capacity to AI hosting through a deal with CoreWeave. Iris Energy and Hut 8 have expanded their AI and high-performance computing revenue. Riot Platforms, MARA Holdings, and Genius Group disclosed selling more than 19,000 BTC from their treasuries last week, a sign that mining economics alone are not sustaining operations at current prices and difficulty levels.
A bitcoin miner running a gigawatt of capacity earns revenue that fluctuates with bitcoin’s price and network difficulty. The same gigawatt rented to an AI company earns a contracted rate with predictable cash flows.
At $69,000 bitcoin with difficulty at all-time highs and energy costs rising alongside every other industrial consumer competing for the same grid capacity, the AI rental often pays better.
The revenue numbers behind the expansion tell their own story. Anthropic said the number of business customers spending more than $1 million annually on Claude has doubled from 500 to over 1,000 in less than two months.
None of this means bitcoin mining is dying, however. The network’s hashrate continues to hit record levels above 1 zetahash per second.
But the miners who survive the current cycle may look less like energy companies that produce bitcoin and more like infrastructure companies that happen to mine bitcoin on the side while renting their real asset, cheap power at scale, to an AI industry that cannot build data centers fast enough.
The Solana Foundation on Monday announced a new security auditing framework for Solana-based protocols in addition to an incident-response network, warning that “adversaries are rapidly innovating.”
The Solana Foundation, a Swiss organization that supports the adoption and security of Solana, and Web3 security firm Asymmetric Research unveiled the Solana Trust, Resilience and Infrastructure for DeFi Enterprises (STRIDE), stating that it was a “structured program for evaluating, monitoring and escalating security across Solana projects.”
The initiative works to evaluate the security of protocols across eight pillars: program security, governance and access control, oracle and dependency risk, infrastructure security, supply chain security, operational security, monitoring and incident response, as well as log management and forensics.
Protocols are independently assessed against these requirements, with findings published publicly, said Asymmetric Research. “This gives users, investors, and the broader ecosystem real transparency into the security posture of the protocols they interact with.”
The announcement comes just a week after one of the largest DeFi exploits this year, with the Drift Protocol losing around $280 million following a social engineering attack from North Korean-linked threat actors.
Solana Incident Response Network
The Solana Foundation also announced the Solana Incident Response Network (SIRN), a network of security firms for real-time incident response across the Solana ecosystem.
“Members will share threat intelligence, coordinate responses to active incidents, and contribute to the ongoing evolution of the STRIDE framework,” it stated.
Related: Crypto hackers steal $169M from 34 DeFi protocols in Q1: DefiLlama
The foundation did not mention artificial-intelligence agents directly, but the announcement comes at a time when they are becoming an increasing threat to crypto protocols.
In January, $40 million was drained from the Solana DeFi platform Step Finance, with AI agents amplifying the damage by executing large transfers autonomously, KuCoin reported last week.
Attackers hit 34 DeFi protocols in Q1
Malicious actors stole over $168 million in cryptocurrency from 34 DeFi protocols in the first quarter of 2026, according to data from DefiLlama.
However, the figure has fallen significantly from the same period last year, when $1.58 billion was pilfered in Q1, 2025.
The largest exploit for the period was the private key compromise of Step Finance.
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Newly uncovered call logs suggest Argentine President Javier Milei spoke with one of the entrepreneurs behind the Libra token multiple times on the night he promoted the cryptocurrency, raising questions about Milei’s assertion that he had no connection with the project.
According to logs obtained by Argentine prosecutors investigating the token’s collapse, which were seen by The New York Times, there were reportedly a total of seven phone calls between the unnamed entrepreneur and Milei before and after he made his Libra promotion post on X.
The contents of those calls remain unknown, according to the Times.
The collapse of the Libra token has seen Argentine lawyers hit Milei with fraud charges and there were also calls for his impeachment. Fraud can attract a prison sentence of between one month and six years in Argentina.
Cointelegraph has contacted Argentina’s presidential office for comment.
Libra investors lost at least $251 million
In February 2025, Milei made a post on X promoting the Libra token as a way to grow Argentina’s economy by funding small businesses and startups.
The token surged before losing more than 96% of its value from its peak, costing investors around $251 million. Milei later deleted his posts, prompting accusations of a possible rug pull.
Milei has denied any wrongdoing in promoting the short-lived token, saying he was merely highlighting a private venture and had no involvement in the project.
“A few hours ago, I posted a tweet, like so many infinite other times, supporting an alleged private venture with which I obviously have no connection whatsoever,” he said in a post on X.
“I wasn’t aware of the details of the project, and after becoming aware of them, I decided not to keep promoting it, that’s why I deleted the tweet.”
Federal investigation into Libra collapse ongoing
Following the Libra collapse, federal prosecutors launched an investigation that has named Milei as a person of interest. The case remains ongoing.
Argentina’s Anti-Corruption Office cleared Milei last June of violating public ethics rules and found his post was personal rather than in his capacity as president.
Related: Argentina turns up the heat in Libra scandal with sweeping asset freeze
In a recent March update, a judicial investigation uncovered a draft document on crypto lobbyist Mauricio Novelli’s phone suggesting a possible $5 million agreement connected to Milei’s promotion of the Libra token.
The draft note was reportedly written just three days before Milei posted about the Libra token on X, but it does not specify who would receive the funds.
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The proposal includes a startup exemption, a fundraising exemption and an investment contract safe harbor for issuers.
US Securities and Exchange Commission Chair Paul Atkins has revealed that a key crypto market safe harbor proposal has landed at the White House for review.
Speaking at the Digital Assets and Emerging Technology Policy Summit on Monday, Atkins said the Regulation Crypto Assets proposal — outlined by the SEC in mid-March — has now been submitted to the Office of Information and Regulatory Affairs.
“We will have reg crypto that we will be proposing here shortly. It’s in fact at OIRA right now, which is the next step before being published,” he said.
Regulation Crypto Assets covers three main ideas: a startup exemption, a fundraising exemption and an investment contract safe harbor for issuers.
If the proposal does end up becoming official rules as part of the SEC’s oversight, it could drive more crypto innovation in the US while providing further regulatory clarity for the industry.
Atkins emphasized that the SEC wants to “hear from the marketplace” to make the whole package “workable.” He did not go into many specifics but said there were a few things the SEC is “building into it” alongside measures such as crypto safe harbors and exemptive relief.
SEC proposal is taking shape
Generally, the SEC first votes to approve a formal proposal, which is then sent to OIRA for review. OIRA then completes the review and it is published in the Federal Register and put up for public feedback.
Cointelegraph reached out to the SEC for comment on the matter.
Related: CFTC chief launches innovation task force focused on crypto framework
The startup exemption would enable projects to raise up to a defined amount over a four-year period with softer disclosure requirements, while the fundraising exemption would enable issuers to raise a defined amount over 12 months while “retaining the ability to rely on other exemptions from registration under the federal securities laws.”
The investment contract safe harbor would protect certain assets from the definition of a security once the project team has ceased all of its managerial efforts “represented or promised” as part of the investment contract.
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