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AI and Agents Can Supercharge Your Business Model

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AI and Agents Can Supercharge Your Business Model

NEW YORK — Carta began as a company known for digitizing paper stock certificates, struggling to get investors’ attention. Still, over the years, it has evolved into a platform for private capital, with annual revenue of nearly $600 million, using a playbook that the company recently revamped and is now powered by AI.

Carta’s original strategy was to supercharge its business: Start with a service business, transform it into software, dominate the market and repeat, said Vrushali Paunikar, the company’s chief product officer, during a presentation at the AI Agent Conference on Monday. While the equity management firm has found success with this approach, the growth of AI technology and agents has helped it magnify results.

“The greatest business opportunity out there in the world is taking a dated service business and turning it into a product business powered with AI,” Paunikar said during the presentation. She said the new business strategy starts with a service business, transforms it into an AI-enabled product business and then scale.

Related:Pentagon Seals AI Deal with Eight Major Vendors, but Anthropic Out

Carta’s refined business methodology is an example of how businesses are having to shift to incorporate generative and agentic AI. While the equity firm has found success with AI, some enterprises are still figuring out where the technology fits within their organizations. 

The Experimentation Phase

For enterprises still trying to understand how to use AI, Paunikar advised starting small.

“Pick a very finite problem and experiment,” she said in an interview. She added that one of the things that accelerated Carta’s learning process with agents is using Claude from Anthropic.

“We started building like CLIs and plugins and skills for Claude to use,” she said. “That actually helped us learn a lot about agent behavior.”

Experimenting with AI tools is the key for enterprises, especially C-level executives, according to David Treat, global CTO at Pearson, an education and academic assessment company.

“You have to be hands-on to really understand the power or potential,” Treat said during a fireside chat, adding that when C-suite executives know how to work with AI tools, it makes a difference.

While practicing with AI tools is essential, enterprises should not view AI automation as just another layer to add to their workload, said Ali Alkhafaji, CEO of Apply Digital, a digital transformation company.

“Reimagine that process, that workload,” he said. “I guarantee you more often than not, you’ll find places where AI can help you truly transform the way you work.”

Related:AI Demand Is Outpacing the Scaffolding to Support It

However, businesses need to avoid rushing or thinking they need to experiment with all AI tools; they need to be nimble and able to prototype the next best thing, said Masha Sharma, vice president of merchant experience at Groupon, in an interview. 

“Frankly, I see people getting overwhelmed because you’re trying to be on the cutting edge of all of that and you’re thinking that you’re missing out,” she said. “You kind of have to slow down.”

Mistakes Will Happen

However, AI transformation in business does not mean no failures and mistakes, and enterprises experimenting with generative and agentic AI should know that they will face challenges that sometimes cannot be predetermined.

“It is incredibly difficult to put all the rules and policies in place to protect enterprises with AI because you don’t know where a potential incident is going to come from,” Alkhafaji said in an interview. 

Even Carta, with its refined business model, failed some experiments before succeeding.

“There were some experiments we did on direct manipulation, It was disastrous,” Paunikar said. She added that Carta does not give agents access to its data. Agents can access its product only through workflows that have data health checks and validation.

Related:Anthropic Launches New Security Tool for Enterprises

To deal with these unknown variables, Alkhafaji said Applied Digital has set up a set of principles and guidelines that can be used to make decisions in real time within the company if an agent makes a mistake.

“We’re probably going to face a challenger moment at some point,” he added, referring to the AI market. “An incident will come up, and it is going to be a major brand. It is going to make many people think twice about AI. I do not think it is going to stop it, but it is certainly going to put up like an additional level of rigor that is needed today but not really adopted everywhere.”

The Human Factor

One way to avoid a disastrous moment during the experimentation phase is to keep a human in the loop.

“Where do you place value in general as a human is trust,” said Deepak Shrivastava, CEO of Sunrise AI, in an interview. He added that, with agents being trusted to make financial transactions, make purchasing decisions or even shop, that level of trust is increasing. “The best way to build that trust and maintain that trust is people, human to human.”

More than maintaining trust, the human-in-the-loop, or people factor, is also a way for enterprises to differentiate, Sharma said.

“Everything is going to start to look very much the same,” she said, referring to the responses from AI agents. She added that businesses that want to stand out and personalize their products or services will need humans to stay involved.

Bitcoin Next Stop May Be $85K: Here’s Why

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Bitcoin Next Stop May Be $85K: Here’s Why

Key takeaways:

  • Improved Bitcoin mining profitability and massive ETF inflows have calmed investors’ fears that miner selling could cap BTC price.
  • Bitcoin dominance hits its highest level since July 2025 as investor interest shifts away from struggling altcoin sectors.

Bitcoin (BTC) surged to $80,000 for the first time in three months on Monday, triggering $270 million in liquidations across leveraged short (sell) futures contracts. This positive momentum for Bitcoin coincided with tech stocks jumping to an all-time high, signaling a broad risk-on environment. Currently, three key indicators point to further upside momentum for Bitcoin.

Nasdaq 100 futures (left) vs Bitcoin/USD (right). Source: TradingView

Bitcoin’s price action maintained a tight correlation with the tech-heavy Nasdaq 100 Index. Yet while the US stock market nears its highest-ever level, Bitcoin sits 36% below its $126,200 peak from October 2025.

Bitcoin Hashprice Index by Luxor, USD. Source: HashrateIndex

Profitability for Bitcoin miners has also improved. The expected daily return for 1 pentahash/second has climbed to $37, a high not seen since Jan. 30. This shift is crucial because the total hashrate has dropped 13% over the last quarter. Major publicly listed mining firms have recently liquidated their Bitcoin treasuries to reduce debt and support AI data center investments.

Bitcoin miners, ETF flows and options demand back BTC’s momentum

For a time, traders feared that a decline in network hash power would spark additional sell pressure. Data from BGometrics shows miner reserves hitting 10-year lows and on Thursday, Riot Platforms (RIOT US) confirmed that it sold $250 million in Bitcoin last quarter. Fortunately, the recent jump in mining profitability is beginning to alleviate these structural concerns.

Bitcoin market share, excluding stablecoins. Source: TradingView / Cointelegraph

Bitcoin’s market share, excluding stablecoins, has jumped to its highest level since July 2025. This move reflects a declining demand for memecoins, governance tokens, and blockchain applications in general. Reduced interest in decentralized exchanges and numerous hacks within finance applications have also contributed to the negative sentiment surrounding altcoins.

Combined assets under management for Bitcoin and Ether (ETH) exchange-traded products reached $147 billion, according to a CoinShares report from April 27. In comparison, similar products for Solana and XRP have failed to break above $3 billion each. Investors’ expectations for institutional demand for major altcoins proved too high, as BTC and ETH now account for 95% of that market.

Related: Bitcoin short-term cost basis approaches profitability, but $80K must flip to support first

Deribit Bitcoin options premium put-to-call, USD. Source: Laevitas

Demand for call (buy) option premiums exceeded that for equivalent put (sell) options on Monday by 24%. This data represents a major turnaround from levels seen during the weekend, when premiums paid for call options were 25% lower than those for put options. While it seems premature to conclude that traders are flipping bullish, the fear of an imminent price decline is no longer present.

Friday’s strong $630 million net inflows into US-listed spot exchange-traded funds (ETFs) likely contributed to the improved sentiment. Regardless of the high correlation with tech stocks, Bitcoin’s path to $85,000 remains valid given the increased mining profitability, dominance versus altcoins and Bitcoin options data.

This article is produced in accordance with Cointelegraph’s Editorial Policy and is intended for informational purposes only. It does not constitute investment advice or recommendations. All investments and trades carry risk; readers are encouraged to conduct independent research.

Analyst Shares ‘Realistic Stance’ For XRP, But Is It The End Of The Road?

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Analyst Shares ‘Realistic Stance’ For XRP, But Is It The End Of The Road?

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XRP has returned above $1.40, giving bulls a reason to think that the cryptocurrency is now finding a footing after weeks of weak price action. 

However, crypto analyst ChartNerd believes the current setup needs to be viewed with realistic caution. In a recent analysis and outlook he posted on X, he argued that XRP’s weekly chart is beginning to show bullish signals, but the larger timeframe has not yet confirmed that the correction is over.

XRP Weekly Chart Shows Signs Of Recovery

ChartNerd’s bullish case starts with the weekly chart, where he pointed to several technical signals that usually appear near important turning points. According to him, XRP’s weekly RSI has fallen into historical cycle-low territory, the weekly MACD has formed a bullish golden cross, and the price is still holding around the 200-week EMA. He also noted that the monthly 50 EMA is still acting as support. 

These are all bullish signals that are positive on the weekly timeframe. For instance, a golden cross on the MACD usually suggests that downside momentum is weakening and that buyers are beginning to regain control.

XRP
Source: Chart from ChartNerd on X

The signals are important because the token has spent much of the past several months trying to build a base after a deep correction. The base seems to now be forming around $1.4, and this gives XRP bulls something to work with.

The Larger Timeframe Is Still Not Fully Bullish

The realistic stance for XRP is on the 3-month timeframe, which filters out short-term noise and reveals the main cycle structure. 

An example is its 3-month RSI, which is currently around 54. This reading is notable because it is still above the cycle-low region around 47 seen in previous bearish structures before stronger rotations. In realistic historical terms, this means the broader reset may not yet be complete.

The analyst also pointed to the 3-month MACD, which he said is showing signs of exhaustion despite still being elevated. This raises the possibility of a death cross forming on the higher timeframe. Finally, the 3-month MACD is currently acting as overhead resistance, unlike its weekly counterpart, which has already formed a bullish golden cross.

This is where the realistic stance comes in. ChartNerd was careful to note that he is not saying XRP cannot rise in May or June. In fact, the analyst is open to bullish continuation in the near term. 

The major concern now is that the move may be a counter-trend rally that forms a lower high before XRP records another low later in the year. That means the bullish case now depends on the altcoin doing more than rebounding on the weekly chart. It needs to push through higher-timeframe resistance and confirm a stronger breakout on the 3-month chart.

XRP
XRP trading at $1.39 on the 1D chart | Source: XRPUSDT on Tradingview.com

Featured image from Getty Images, chart from Tradingview.com

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AI execution, not adoption, separates leaders from novices in Australia and New Zealand

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AI execution, not adoption, separates leaders from novices in Australia and New Zealand

2026 State of Strategic Response Management Report reveals widening maturity gap as top-performing organizations pull further ahead on revenue, efficiency, and AI impact

AI adoption is no longer the differentiator in Australia and New Zealand, with growth now driven by how organizations operationalize it across their revenue workflows. That’s according to the 2026 State of Strategic Response Management (SRM) Report: Australia and New Zealand Edition, released today by Responsive, the leader in Strategic Response Management, in partnership with the Association of Proposal Management Professionals (APMP).

“Organizations pulling ahead are embedding AI into how they prioritize opportunities, make decisions, and activate knowledge across the business,” said Ganesh Shankar, CEO of Responsive.Share

Based on insights from nearly 300 ANZ-based respondents, the report highlights a highly pressurized market where empowered buyers, rising expectations, and compressed sales cycles are forcing organizations to rethink how they manage strategic responses such as RFPs, security questionnaires, and due diligence requests. These findings are part of a broader global study of more than 1,100 decision-makers and practitioners, with half being in a revenue or executive leadership function across industries.

The report shows that while AI adoption in ANZ is progressing steadily, a clear divide is emerging between organizations experimenting with AI and those operationalizing it to drive revenue outcomes. Companies identified as “SRM Leaders” – the top 20% in maturity – are significantly outperforming their peers, with 89% reporting year-on-year revenue growth, 11 points higher than less mature organizations in ANZ as well as leading organizations globally.

However, the report warns that the gap between Leaders and less mature organizations is wider in ANZ than in other regions, creating both greater opportunity and greater risk.

SRM Leaders in ANZ distinguish themselves by operationalizing AI across workflows, centralizing knowledge, enabling self-service access, and using AI to guide faster, higher-quality decisions. As a result:

  • AI is delivering real business value: 83% of ANZ Leaders have deployed AI in SRM, compared to just 41% of less mature organizations—a gap more than twice as wide as global averages. Leaders are more likely to use AI for decision support, content validation, and knowledge retrieval at scale.
  • Revenue impact is more pronounced: 85% of ANZ Leaders report increased revenue tied directly to RFPs and strategic responses, compared to 72% of ANZ novices.
  • Sales teams operate with greater speed and autonomy: 94% of ANZ Leaders report higher sales rep efficiency and 92% faster sales velocity when leveraging centralized knowledge hubs.
  • Employee satisfaction is significantly higher: 91% of ANZ Leaders report strong satisfaction, compared to just 63% of novices.

“Organizations pulling ahead are embedding AI into how they prioritize opportunities, make decisions, and activate knowledge across the business,” said Ganesh Shankar, CEO of Responsive. “Their advantage in growth, sales velocity, and rep productivity shows that execution is paying off.”

Leaders and Novices are defined by the SRM Maturity Index, a framework that evaluates how effectively organizations capture, govern, and operationalize institutional knowledge. In ANZ, maturity proves to be an even stronger differentiator than globally, with ANZ Leaders holding a 13-point lead in reporting revenue tied to RFPs compared to their global peers.

At the same time, the report highlights a growing risk for organizations that fail to evolve. As highlighted in Responsive’s 2025 B2B buyer decisions report, Inside the Buyer’s Mind, buyers expect faster, more personalized, and more accurate responses throughout the purchasing process. Organizations that operationalize knowledge and AI effectively are best positioned to meet these demands, accelerating time to revenue while improving the overall buying experience.

To help organizations close this gap, the report outlines a five-pillar SRM maturity model and a practical 12-month roadmap focused on centralizing knowledge, scaling self-service, integrating AI into workflows, and tying response efforts directly to revenue outcomes.

Coinbase-Backed Base Adopts Succinct’s SP1 zkVM to Cut Finality Times and Boost Security

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Coinbase-Backed Base Adopts Succinct’s SP1 zkVM to Cut Finality Times and Boost Security

The Base network is moving to integrate ZK proofs into its core security stack, marking one of the most consequential upgrades yet for Ethereum’s Layer 2 ecosystem.

The Coinbase-incubated chain has selected Succinct Labs and its SP1 zero-knowledge virtual machine to supplement its existing trusted execution environment (TEE)-based architecture.

The move positions Base as the largest Ethereum Layer 2 operator so far to adopt ZK-based validation mechanisms at scale.

The shift reflects a broader transition underway across Ethereum scaling networks.

Optimistic rollups, once dominant, are increasingly converging toward hybrid or fully ZK-based security models.

Succinct said its SP1 zkVM—an open-source system designed to generate proofs for general-purpose computation—will enable Base to replace parts of its fraud-proof system with cryptographic verification. This could significantly reduce withdrawal times from days to near-instant or one-day finality, depending on implementation phases.

“Base going with SP1 is the single largest vote of confidence that ZK is indeed the endgame for Ethereum scaling,” Brian Trunzo, Chief Growth Officer at Succinct Labs, said in a statement shared with AlexaBlockchain.

“With Succinct, Base users inherit Ethereum-grade security, replacing economic game theory with math,” he added.

Base currently ranks among the largest Layer 2 networks by total value locked, users, and transaction throughput. By integrating ZK proofs, it effectively extends cryptographic guarantees to a substantial share of Ethereum’s scaling economy.

Wilson Cussak, Head of Base Chain, said the upgrade is aimed at strengthening infrastructure as adoption grows.

“Expanding Base with ZK proofs is a meaningful step to deepen the network’s security and resiliency,” he said.

Why does it matter? This upgrade signals a structural shift in how Ethereum scaling networks secure user funds.

Optimistic rollups rely on fraud proofs and economic incentives, which require a challenge period—typically up to seven days—to finalize transactions. Zero-knowledge systems, by contrast, validate correctness upfront using cryptographic proofs, enabling faster settlement and reducing reliance on external actors.

For institutional participants, this distinction is critical. ZK-based systems offer deterministic finality and lower counterparty risk, aligning more closely with traditional financial infrastructure requirements.

The integration also addresses one of the key bottlenecks in Layer 2 adoption: capital efficiency.

Faster withdrawals and trust-minimized bridging reduce friction for large-scale liquidity movement between Layer 2 networks and Ethereum mainnet.

Base’s move mirrors a wider industry trend toward ZK adoption.

Projects such as zkSync, StarkWare, and Polygon Labs have already deployed ZK-based rollups or validity proofs as core components of their scaling strategies.

Even optimistic rollups like Optimism and Arbitrum have explored hybrid models incorporating ZK proofs for faster finality.

These efforts suggest a convergence toward what Vitalik Buterin has described as Ethereum’s long-term “endgame”: a network secured primarily through ZK proofs.

Buterin has indicated that ZK-based validation could become dominant between 2027 and 2030.

Base’s implementation may accelerate that timeline by bringing ZK security into one of the ecosystem’s largest production environments.

Succinct’s SP1 zkVM is designed to allow developers to generate proofs for arbitrary Rust-based programs without building custom cryptographic infrastructure. This abstraction lowers the barrier for integrating ZK security across applications, bridges, and rollups.

For Base, the system introduces a hybrid model combining TEEs with ZK proofs. This approach balances performance and security, using hardware-based execution alongside mathematically verifiable proofs.

The upgrade introduces intermediate steps, including multiproofs, before reaching near-instant withdrawals.

The signal for Ethereum

Base’s adoption carries outsized influence because of its scale and backing by Coinbase.

As one of the most widely used Layer 2 networks, its architectural decisions often set precedent for the broader ecosystem.
A successful ZK integration could accelerate adoption across other rollups and infrastructure providers.

More broadly, the move underscores a shift in blockchain design philosophy.
Security is moving away from economic assumptions toward formal cryptographic guarantees.

For Ethereum, that transition may define the next phase of scaling.

The article “Coinbase-Backed Base Adopts Succinct’s SP1 zkVM to Cut Finality Times and Boost Security” was first published on AlexaBlockchain. Read the complete article here: https://alexablockchain.com/coinbase-backed-base-adopts-succinct-sp1-zkvm/

Read Also: MoneyGram, Pairpoint and eToro Back Midnight’s Privacy Blockchain Before Mainnet

Disclaimer: The information provided on AlexaBlockchain is for informational purposes only and does not constitute financial advice. Read complete disclaimer here.

Image Credits: Base, Shutterstock, Canva, Wiki Commons

Crypto bears got it wrong again, losing $300 million in liquidations: Crypto Markets Today

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Crypto bears got it wrong again, losing $300 million in liquidations: Crypto Markets Today

Bears got it wrong again.

Bitcoin BTC$79,916.06 briefly tagged $80,594 early Monday, its highest print since Jan. 31, before pulling back to trade around $79,851 at the time of writing. The move triggered $370 million in total crypto liquidations over the past 24 hours, affecting 97,235 traders, according to CoinGlass data. Of that total, $301.93 million came from short positions.

Shorts were liquidated roughly four times as much as longs, indicating that bearish positioning was dominant going into the move. They were caught offside as the rally forced them to unwind positions at a loss.

Bitcoin alone accounted for $179 million of the wipeout, with ether traders contributing $95 million. The single-largest liquidation was an $11.77 million ETH/USDT short on Binance.

The squeeze is the second of its kind in two weeks. A similar setup on April 18 wiped out $593 million in shorts as bitcoin pushed past $77,000 on the back of reports of an Iran ceasefire.

The pattern is starting to look structural.

Funding rates on bitcoin perpetuals have been pinned negative for most of April, meaning shorts have been paying longs to stay short, and each time the price pushes higher, the same trade unwinds violently.

Other majors caught the bid. Ether climbed 2.3% to $2,368 and is up 2.2% on the week. XRP gained 2.1% to $1.42. BNB added 1.9% to $630. Solana rose 1.4% to $85.14. Dogecoin remains the standout performer, up 3.5% on the day and 14.3% on the week to $0.1119, extending the breakout that started last week alongside the year-high open interest in DOGE futures.

Net inflows into U.S. spot bitcoin ETFs reached $153.9 million last week, per SoSoValue. April pulled in $1.97 billion across the products, the highest monthly total since October 2025. Ether ETFs saw the opposite move, with $82.5 million in net outflows ending a three-week inflow streak.

FxPro analysts said in a note that bitcoin needs to consolidate above $85,000 to confirm the breakout.

“The rising price and the downward-sloping 200-day moving average are actively converging with an important long-term trend line at $83,600. Consolidation above this level could further encourage traders, but we would prefer to see consolidation above $85,000 first.

Derivatives Positioning

  • Privacy-focused Zcash (ZEC), smart contract platform ether (ETH), and market leader bitcoin BTC$79,916.06 are the biggest open interest (OI) gainers over the past 24 hours, pointing to a broad pickup in derivatives activity.
  • Bitcoin’s futures OI has climbed to 763.35K BTC, up sharply from the May 1 low of 707.24K BTC. The increase suggests renewed capital inflows into the market following April’s end-of-month de-risking. Meanwhile, Bitcoin’s 24-hour cumulative volume delta (CVD) has turned positive, meaning buyers are driving trading activity by placing more market orders than sellers, rather than using passive limit orders.
  • ZEC is showing a similar setup. Open interest is hovering near a four-month high at 2.26 million tokens, accompanied by one of the strongest CVD readings among major tokens. Funding rates are also positive at around 7%, indicating a bias toward long positioning.
  • Ethereum’s futures OI has risen to 14.17 million ETH, the highest level since April 18. Like Bitcoin, it is backed by positive funding rates and a positive 24-hour CVD, suggesting sustained demand from leveraged longs.
  • Not all markets look as balanced. Privacy coin monero (XMR) and M$2.6944 appear overheated, with signs of overcrowded bullish positioning. Funding rates in these markets have surged above 60%, raising the risk of long squeezes if momentum stalls.
  • Options markets, however, are signaling relative calm. Annualized thirty-day implied volatility for both bitcoin and ether has remained subdued for over a month, consistent with a steady, grind-higher rally. Ethereum’s volatility index (EVIV) is now approaching the 55% level, a zone that has acted as a floor multiple times since 2024, making it a key level to watch for a potential pickup in volatility.
  • On Deribit, put skews in bitcoin and ether have weakened notably compared to a month ago. This shift suggests reduced demand for downside protection and increased appetite for upside exposure via call options as prices continue to rise.

Token Talk

  • One of the key winners of the CLARITY Act yield compromise appears to be real-world asset tokens. The compromise would see firms restructure reward programs from a “buy and hold,” to a “buy and use model.”
  • That, combined with growing regulatory clarity around tokenized real-world assets, has helped drive a rally in RWA tokens, with Ondo Finance’s ONDO leading gains.
  • It’s up 11% over the past 24 hours, breaking above its reported 90-day trading range as investors turned back to tokenized real-world assets. Tokens including TRU$0.001363, and PENDLE are also up.
  • Ondo’s total value locked stands at $3.57 billion, with a market value of $1.5 billion according to DeFiLlama data. The rally also comes over broadening interest in real-world asset tokenization, with more than $30.9 billion tokenized according to RWA.xyz data.
  • The move came after several recent developments for the project. Ondo Finance tapped Broadridge Financial Solutions to add proxy voting and filings access for more than 250 tokenized stocks and ETFs just this week.

Coinbase boosts Solana trading with DFlow integration

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Coinbase boosts Solana trading with DFlow integration

U.S.-listed cryptocurrency exchange Coinbase has integrated trading protocol DFlow, allowing traders to exchange value across spot and prediction markets natively on Solana, the companies said on Monday.

Coinbase adding DFlow as its primary router will mean eight times less trade failures. The move also increases liquidity on tokens that were previously untradeable, and improves the prices users receive, according to a press release.

The DFlow aggregator, which services over a million active traders per month, was tapped by prediction market giant Kalshi in December. Coinbase said that before DFlow, roughly one in 30 trades on Coinbase’s Solana product could not be routed due to insufficient liquidity coverage; now it’s one in 250.

In addition, many smaller Solana tokens previously returned “no liquidity” when users tried to sell them. DFlow finds routes that other aggregators miss, turning failed trades into successful ones, particularly on the sell side, according to a press release.

“The best trading experience means trading infrastructure that works 24/7, has the best coverage, and provides the best price. Adding DFlow helps with all three of those,” said Richard Wu, Onchain Trading at Coinbase.

Bitcoin-Funded ‘Satoshi Scholarship’ Opens Lomond School Doors To Global Students

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Bitcoin-Funded ‘Satoshi Scholarship’ Opens Lomond School Doors To Global Students

Lomond School in Helensburgh, Scotland has launched a fully funded “Satoshi Scholarship,” extending its experiment with Bitcoin from the payments desk into the heart of school life. 

The award will cover two years of tuition and boarding at Burnbrae, the school’s boarding house, for one student who would struggle to access this kind of education without support. 

Applications are open worldwide, with a deadline of May 24.

The scholarship follows a year of rapid change at Lomond, which became the first school in the world to accept Bitcoin for tuition from Autumn 2025. Some parents already pay fees in Bitcoin, and the school has begun building a BTC treasury funded by donations from supporters in the wider Bitcoin community. 

School leaders describe this as the early stage of a savings strategy shaped by ideas of sound money and long term financial resilience that run through Bitcoin culture.

BTC now runs through the campus in more literal ways as well. Lomond operates its own node and several mining units, which both support the Bitcoin network and supply heat to classrooms. 

A live mempool display in the study and library gives students and staff a window onto transaction activity on the network, turning an abstract protocol into something they see during the school day.