HIVE tests investor appetite for AI-Bitcoin infrastructure in Andean markets

cointelegraphPubblicato 2025-12-11Pubblicato ultima volta 2025-12-11

Introduzione

HIVE Digital Technologies has become the first Bitcoin and AI infrastructure company to list on a Latin American exchange, debuting on the Colombian Stock Exchange under the ticker HIVECO. This listing provides access to investors across the Andean market system, which includes Colombia, Peru, and Chile. The move reflects the sector’s expansion as Bitcoin mining and high-performance computing (HPC) companies seek broader capital market opportunities. HIVE, which already trades in North America and Europe, has existing operations in Latin America, including hydroelectric-powered data centers in Paraguay. The company, like other major Bitcoin miners, has been diversifying into AI and HPC due to compressed mining margins following the 2024 Bitcoin halving, rising costs, and falling revenues. This strategic shift highlights the growing importance of diversification in the current challenging mining economy.

HIVE Digital Technologies has debuted on the Colombian Stock Exchange under the ticker HIVECO, becoming the first Bitcoin and AI infrastructure company to trade publicly on a Latin American exchange. The move marks another sign of the sector’s expansion as Bitcoin miners and high-performance computing (HPC) companies push deeper into global capital markets.

Announced on Thursday, the listing makes HIVE available to investors across the Andean market system, which links the exchanges of Colombia, Peru and Chile.

For a region traditionally dominated by energy and natural-resources issuers, the addition of a digital infrastructure company offers exposure to a growing sector that sits at the intersection of high-performance computing, renewable power and Bitcoin (BTC).

Colombia’s exchange is one of the Andean marketplace’s most institutionally connected platforms, giving HIVE access to a broader, more integrated investor base than is typical elsewhere in Latin America.

Source: HIVE Digital Technologies

HIVE shares are already traded in North America and Europe, including on the TSX Venture Exchange, the Nasdaq and the Frankfurt Stock Exchange.

On the Nasdaq, HIVE shares slipped more than 1% on Thursday, though they remain up for the year.

Related: Bitcoin miners gambled on AI last year, and it paid off

HIVE’s Latin American footprint grows as Bitcoin mining economics tighten

HIVE already has an operational footprint in Latin America, having developed Tier I data centers in Paraguay powered entirely by hydroelectricity. The company began expanding its presence there in late 2024 and completed the acquisition of its Yguazú site in March of this year, as previously reported by Cointelegraph.

HIVE was among the early Bitcoin miners to pivot toward AI and high-performance computing as mining economics tightened and demand for GPU infrastructure surged.

Other major public miners, including Core Scientific, Hut 8, Riot Platforms, TeraWulf and Marathon Holdings have also expanded into AI and HPC workloads in varying degrees.

Current mining costs for public Bitcoin miners. Source: TheMinerMag

While these companies remain active in Bitcoin mining, the sector is operating in one of its toughest environments to date. Industry research describes current miner margins as historically compressed, with revenue at “structural lows” amid falling hash price and rising operating costs.

Much of the pressure stems from the 2024 Bitcoin halving, which reduced block rewards to 3.125 BTC and effectively halved mining revenue. Higher electricity costs and ongoing equipment expenses have added further strain, making diversification into AI and HPC increasingly important for many miners.

Related: Thirteen years after the first halving, Bitcoin mining looks very different in 2025

Crypto di tendenza

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Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

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1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

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1996 or 1999? Walsh's First Test is 'How to View AI'

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Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

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He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

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Come comprare HIVE

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Hive (HIVE) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente HiveHIVE.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Hive (HIVE)Dopo aver acquistato Hive (HIVE), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Hive (HIVE)Scambia facilmente Hive (HIVE) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

93 Totale visualizzazioniPubblicato il 2024.12.13Aggiornato il 2026.06.02

Come comprare HIVE

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