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Enterprise AI Strategy Consulting to Fix ROI Collapse

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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.

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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.

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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

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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.

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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:

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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:

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  • 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

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  • 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

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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

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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.

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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.

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Crypto World

South Korea Moves to Force Crypto Finfluencers to Disclose Holdings Under New Proposed Law

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

    • South Korea’s Democratic Party is drafting bills requiring finfluencers to disclose crypto holdings and compensation before advising followers.
    • Reports of illegal investment advisory activity surged from 132 cases in 2018 to 1,724 cases in 2024, prompting stricter oversight.
    • Penalties for finfluencer violations are expected to match existing laws on market manipulation and pre-emptive trading in Korea.
    • Researchers are calling for pre-monitoring, post-sanctions, and added social media rules to protect retail crypto investors from misleading advice.

South Korea is proposing a law that would require finfluencers to disclose their crypto holdings. Democratic Party lawmaker Kim Seung-won is leading the push with two amendment bills.

The legislation targets influencers who advise followers on stocks and virtual assets through social media. Holdings, compensation, and asset quantities would all need to be made public. Reports of illegal investment advisory activity have risen sharply in recent years, prompting the move.

Proposed Bill Targets Crypto Finfluencers Operating Without Disclosure

Rep. Kim Seung-won, a member of the National Assembly’s Political Affairs Committee, is preparing the amendments.

One bill proposes changes to the Capital Markets Act, while the other targets the Virtual Asset Users Protection Act. Together, they would require crypto finfluencers to reveal what they hold before advising others to buy or sell. This applies to those who give repeated advice or charge fees for investment guidance.

The rules would cover advice shared through social media, broadcasts, publications, and other communications. A presidential decree would set the exact boundaries of who falls under the law.

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Penalties for non-compliance are expected to match those for market manipulation and pre-emptive trading. This places crypto finfluencers under the same legal standards as other financial market participants.

Rep. Kim explained the reasoning behind the proposal, stating that “so-called fink influencers are appearing who give advice on investment decisions to an unspecified number of people without receiving compensation from positions that can have a great influence on the public.”

He pointed to a growing number of influencers advising large audiences without revealing their own crypto positions.

When influencers hold assets they promote without disclosure, it raises serious conflict-of-interest concerns. The bill directly addresses this gap by making transparency a legal requirement.

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The Financial Supervisory Service recorded 1,724 reports of illegal advisory activity in 2024, up from just 132 in 2018. That increase spans only six years and reflects how quickly the problem has grown.

The rise of online and social media channels has made it far easier to reach investors without proper credentials. Crypto markets, in particular, have seen a surge in influencer-driven trading activity.

Korea Aligns With Global Push to Regulate Crypto Finfluencer Activity

Other major markets have already moved to regulate finfluencer conduct. The UK’s Financial Conduct Authority requires pre-approval of all promoted financial products, including digital assets.

The US Securities and Exchange Commission and FINRA have issued fines against influencers who violated disclosure rules. South Korea’s proposal follows the same direction these regulators have already taken.

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Ahn Yu-mi, a senior researcher at the Capital Market Research Institute, noted that “the number of registered pseudo-investment advisory firms has increased significantly as sales channels have been mainly online.”

She added that this shift has also expanded “the possibility of detecting illegal and unsound acts.” However, she stressed that detection alone does not protect investors from harm. A structured oversight system covering both finfluencers and the institutions working with them is still needed.

Ahn further stated that “considering the ever-increasing influence and risk of pininfluencers, a strong management system such as pre-monitoring and post-sanctions by financial authorities is required.”

She also called for financial authorities to “continuously monitor finfluencies and financial institutions that use them.” On top of that, she recommended “the establishment of additional rules to be followed when providing financial information through social media.”

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Without formal rules in place, the gap between influencer reach and regulatory oversight will only continue to widen.

South Korea’s proposal reflects a broader shift in how governments are responding to crypto finfluencer activity. As virtual asset markets grow, so does the need for rules that protect investors from undisclosed conflicts of interest.

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BTC hits $67,000; ETH, DOGE, SOL lead amid crypto short squeeze

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Crypto Fear & Greed Index (Alternative.me)

Bitcoin bounced back to $67,500 during Wednesday’s U.S. morning session, gaining more than 5% over the past 24 hours as deeply bearish positioning across the crypto market began to unwind.

The move sparked a broader relief rally across altcoins. Ethereum’s ether (ETH) surged 10%, reclaiming the $2,000 level for the first time in a week. Solana (SOL), , and Chainlink each advanced more than 10%, outperforming bitcoin and the broad-market benchmark CoinDesk 20 Index’s gains.

Wednesday’s bounce follows a period of extremely negative sentiment across the market. The Crypto Fear & Greed Index, a popular sentiment gauge, has been hovering in Extreme Fear levels for most of February.

Crypto Fear & Greed Index (Alternative.me)

Crypto Fear & Greed Index at historic lows (Alternative.me)
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Perpetual futures funding rates — the periodic payments between long and short traders — had also turned negative multiple times over the past weeks. This means short sellers have been paying longs to maintain positions, a sign that bearish bets had become crowded. Such setups often leave markets vulnerable to sharp squeezes higher when prices begin to rise.

The rebound has liquidated over $307 million in leveraged bearish bets across crypto derivatives over the past 24 hours, CoinGlass data shows. Notably, bitcoin perpetual funding rates remain below neutral even amid the rally, suggesting the move isn’t being driven by aggressive leveraged speculation.

Bitcoin perpetual funding rates (Coinalyze)

Bitcoin perpetual funding rates (Coinalyze)

Crypto stocks gain

Crypto-related equities also joined the advance. Stablecoin issuer Circle (CRCL) jumped 20% after an earnings beat, while Coinbase (COIN), bitcoin treasury firm Strategy (MSTR) and Galaxy (GLXY) gained 5%-6%. Bitcoin miners — increasingly tied to AI infrastructure themes — extended their rebound, with Bitfarms (BITF), Bitdeer (BTDR) and MARA Holdings (MARA) leading gains.

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Many crypto-linked stocks had built up sizable short interest from hedge funds, 10x Research’s Markus Thielen noted, leaving them primed for a sharp reversal.

Improving risk appetite across traditional markets has given a favorable backdrop for the crypto bounce. The S&P 500 and the tech-heavy Nasdaq 100 were 0.6% and 1.1% higher, respectively, in the early hours of trading. The software sector, embattled by AI fears, extended its gains, with the iShares Expanded Tech-Software Sector ETF (IGV) up by another 2% during the session.

Early signs of U.S. buyers returning

For the first time in over 40 days, the Coinbase Premium Index has turned positive again. This index tracks the price difference between bitcoin on Coinbase, a major U.S. exchange, and the broader global market average. It is widely viewed as a gauge of U.S. capital flows, institutional participation, and overall market sentiment.

While the MSTR to IBIT ratio is up 12% year to date, indicating that Strategy has outperformed BlackRock’s ETF. This relative strength points to continued risk-on appetite, even as bitcoin has fallen 25% this year.

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In addition, the U.S. spot bitcoin ETFs recorded $257.7 million in inflows on Tuesday, the largest daily total since Feb. 6.

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UK gov’t committee calls for halt to crypto donations amid foreign interference fears

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UK gov't committee calls for halt to crypto donations amid foreign interference fears

UK politicians concerned with foreign interference in politics are calling for temporary restrictions on crypto donations to be put in place until permanent legislation is drafted.

The Joint Committee on the National Security Strategy called for the measures in a letter to the UK’s Communities Secretary, Steve Reed, on Tuesday.

In the letter, Committee Chair Matt Western recommended five temporary measures: 

  • A temporary ban on accepting crypto donations until the Electoral Commission publishes its own guidance on interim crypto measures. 
  • Crypto donors should be prevented from using crypto firms that aren’t registered with the Financial Conduct Authority to make their donations
  • Donations should be converted into sterling within 48 hours of their receipt.
  • Crypto that’s been “upstream” from crypto mixers and tumblers, such as Tornado Cash, should be prohibited.
  • Crypto should only be accepted when an individual has “high confidence” about its origins.

Kraken says crypto ban will ‘displace’ political donations

The committee took into consideration the views of various stakeholders, crypto entities, charities, and research groups when deciding on its recommendations.  

Despite this, not everybody is happy. Kraken’s Chief Compliance Officer Natasha Powell, for example, warned that a ban would displace crypto donors to shadier avenues of funding, and that donors should be allowed to make donations from UK-regulated institutions.

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“If you say, ‘No crypto donations, they’re illegal,’ people will go offshore and find different ways of doing them,” said Powell. “They will keep happening; they will just do so under the radar.”

Read more: Nigel Farage milkshake’d while touring with shady crypto ally

The director of the Centre for Finance and Security at RUSI agreed with Powell, and called for a “moratorium until such time as we are sure that we have the right checks and balances in place.”

The anti-corruption charity Spotlight on Corruption has also suggested various measures to tackle shady crypto donations, while the Electoral Commission has said it could be given discretionary power to draft crypto donation guidance. 

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“This could involve producing non-statutory guidance at first, which could be changed to statutory guidance if required,” the letter reads.

The letter also highlights that, as the UK’s military role in Europe grows, and the security environment worsens, “the value of influencing the UK’s political positions (for example on Ukraine, or US/EU relations) is likely to increase.”

His letter also recommended tougher sentences for electoral finance offences, a singular group dedicated to policing political finance and foreign interference risks, and increased wealth checks for political donors.

Crypto donation ban would upset Reform UK 

The only major party currently accepting crypto donations in the UK is Nigel Farage’s Reform UK. The right-wing party announced its acceptance of crypto donations last May as part of an effort to appeal to crypto investors. 

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It’s received over £19 million ($25.6 million) in donations from Tether shareholder Christopher Harbourne over the years and has also reportedly received some crypto donations, but hasn’t disclosed who from. 

Because of this, Labour and Liberal Democrat MPs have called for an investigation that looks to determine any potential conflicts of interest that might “undermine public trust in the integrity of our political system.”

Read more: Scoop: Bitfinex, Tether shareholder Harborne is Nigel Farage’s top donor

One of Farage’s close allies, George Cottrell, is linked to a Polymarket wallet that made millions betting on the outcome of various Donald Trump-related prediction markets.

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Cottrell was also convicted of wire fraud after he was caught agreeing to launder drug trafficking proceeds. He allegedly threatened to report the fake drug traffickers unless they paid him $80,000 worth of bitcoin. 

He’s also launching a book called How To Launder Money, and his mother, Fiona Cottrell, has also donated £750,000 ($1 million) to Reform UK.

Got a tip? Send us an email securely via Protos Leaks. For more informed news and investigations, follow us on XBluesky, and Google News, or subscribe to our YouTube channel.

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Solana Price Charts Are Hinting at a Potential Rally Toward $110 Next

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Solana Price Charts Are Hinting at a Potential Rally Toward $110 Next

Solana’s SOL (SOL) has rallied 10% over the past 24 hours, rising to an intraday high of $86 on Wednesday.

The recovery was accompanied by a leap in futures activity, with SOL’s open interest rising by more than 5% to $5.27 billion.

Analysts are now focusing on the short-term technical setup and fundamental indicators that may signal a major turning point for SOL.

Key takeaways:

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  • SOL price has risen 10% in 24 hours, fueled by bullishness in the broader market and Solana ETF inflows.

  • Solana’s symmetrical triangle breakout targets $110 SOL price.

SOL recovers with the crypto market

The SOL/USD pair rose as much as 13.6% to $86 on Wednesday from a two-week low of $75 on Tuesday, amid a marketwide recovery.

Bitcoin (BTC), the market leader, was trading at $66,800 at the time of writing, up 5% over the 24 hours. Second-placed Ether (ETH) has gained about 8% on the day to trade just above $1,990. XRP (XRP) has also posted significant daily gains among the top 10 cryptocurrencies, up 6% over the same period.

As a result, the global crypto market capitalization is up 4% on the day to $2.28 trillion on Wednesday.

Performance of top-cap cryptocurrencies: Source: CoinMarketCap

Solana’s surge today is accompanied by significant short liquidations totaling $15.4 million over the last 24 hours, signaling intense demand-side pressure.

The buyers were also US-based spot Solana ETFs, which have recorded $40 million in net inflows since Feb. 9.

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Spot Solana ETFs flows table. Source: Farside Investors

The growing demand-side pressure that could push SOL prices higher when coupled with increased inflows from global Solana investment products and buying by whales.

Cryptocurrencies, Markets, Price Analysis, Tech Analysis, Market Analysis, Altcoin Watch, Solana, ETF
Source: Lookonchain

SOL’s symmetrical triangle breakout targets $110

Data from TradingView shows SOL price breaking above a symmetrical triangle on the six-hour time frame, as shown in the chart below.

The price needs to close above the 100-day simple moving average (SMA) at $86 to sustain the upward momentum.

The measured target of the prevailing pattern, calculated by adding the height of the triangle to the breakout point, is $110, coinciding with the 50-day SMA. This represents a 28.5% rally from the current levels. 

SOL/USD 6-H chart. Source: Cointelegraph/TradingView

As Cointelegraph reported, a daily candlestick close above the 20-day EMA, currently at $88, would open the way for a rise toward $95 and later to $117. 

Glassnode’s realized price distribution data for Solana shows limited historical buying activity above $85, suggesting that the bulls could easily break this resistance.

In other words, there are relatively few SOL holders with a cost basis above this zone, reducing the chances of sellers stepping in decisively until the price reaches higher supply zones. 

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The next significant resistance sits at $115, where approximately 22 million SOL were previously acquired.

SOL: UTXO realized price distribution (URPD). Source: Glassnode