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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

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Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
BlockDAG, Tron, Chainlink & Hyperliquid Lead

BlockDAG, Tron, Chainlink & Hyperliquid Lead

The post BlockDAG, Tron, Chainlink & Hyperliquid Lead appeared on BitcoinEthereumNews.com. Crypto News 29 September 2025 | 01:00 Learn why BlockDAG, Tron, Chainlink, and Hyperliquid are standing out as the best cryptos to buy, backed by adoption, utility, and rising trading volume. The race for strong crypto picks is intensifying as 2025 pushes toward its final quarter. People are watching closely for projects that show genuine adoption, powerful infrastructure, and serious growth potential. Many claim to offer big returns, but only a select few are proving it with numbers and community support. At the center of attention are four names: BlockDAG, Tron, Chainlink, and Hyperliquid. Each brings a different edge to the market, from mining adoption and stablecoin transfers to tokenized finance and high-volume DeFi trading. Together, they highlight why these projects are seen as some of the best cryptos to buy. 1. BlockDAG: Mining Power & Global Reach BlockDAG has become one of the most talked-about projects in 2025. With more than 312,000 coin holders, 3 million users mining through the X1 app, and over $410 million raised in presale, it is showing momentum rarely seen. Its strength lies in a dual mining model, blending hardware through X-Series miners with mobile access via the X1 app. Over 20,000 miners have already been shipped to 130 countries, making the network active even before mainnet launch. The Awakening Testnet, now live, adds another layer. It showcases key features like account abstraction, Stratum-based miner connectivity, and groundwork for EIP-4337. This approach of testing live before launch builds transparency and confidence. BlockDAG is also fueling excitement financially. It pulled in $40 million in the past month alone, attracting nearly 1,000 new holders daily. With Batch 30 priced at just $0.0013 for a limited time, ROI potential looks huge. For anyone searching the best cryptos to buy, BlockDAG is positioning itself as a network that’s…

Author: BitcoinEthereumNews

2025/09/29

JD Vance says U.S. has ‘successfully separated’ TikTok from China’s ByteDance

JD Vance says U.S. has ‘successfully separated’ TikTok from China’s ByteDance

The post JD Vance says U.S. has ‘successfully separated’ TikTok from China’s ByteDance appeared on BitcoinEthereumNews.com. Vice President JD Vance said on Sunday that the United States has “successfully separated” TikTok from its Chinese parent ByteDance and can now “control people’s data security.” Speaking on Fox News Sunday, Vance stated, “We can ensure that the algorithm is not being used as a propaganda tool by a foreign government.” He said he feels “very confident” about the platform’s future in the U.S. after months of legal and political battles. The social media platform has long faced scrutiny for its data practices and ties to Beijing. After former President Joe Biden signed a national security law that effectively banned TikTok from U.S. app stores, President Donald Trump signed an executive order on Thursday approving a proposal to let the app keep operating in the country under a new structure. Trump signs order creating new U.S. TikTok company Vance said, “The way that we’ve set up this deal from a national security perspective is that it’s the American investors and the American businesspeople who will make the determination about what’s actually happening with TikTok.” He added that the agreement values the business at $14 billion. Under Trump’s order, a new joint-venture company will oversee TikTok’s U.S. operations, with ByteDance holding less than a 20% stake. Among the investors in the new company are Oracle, private-equity firm Silver Lake, and the Abu Dhabi-based MGX investment fund. Other ByteDance investors, including General Atlantic, Susquehanna, and Sequoia, are expected to contribute equity to the new U.S. entity. The federal government will not take an equity stake or a so-called golden share in the operation. Vance said, “At the end of the day, I believe that north of 80% of the company will be owned by the American investors and their partners. This is not something where the Chinese or any Chinese entity…

Author: BitcoinEthereumNews

2025/09/29

JD Vance says TikTok has been separated from ByteDance to protect U.S. data

JD Vance says TikTok has been separated from ByteDance to protect U.S. data

Vice President JD Vance said on Sunday that the United States has “successfully separated” TikTok from its Chinese parent ByteDance and can now “control people’s data security.” Speaking on Fox News Sunday, Vance stated, “We can ensure that the algorithm is not being used as a propaganda tool by a foreign government.” He said he […]

Author: Cryptopolitan

2025/09/29

Cardano vs. Lyno AI Price Prediction: Can ADA Hold $5 as Lyno AI Surges?

Cardano vs. Lyno AI Price Prediction: Can ADA Hold $5 as Lyno AI Surges?

The post Cardano vs. Lyno AI Price Prediction: Can ADA Hold $5 as Lyno AI Surges? appeared on BitcoinEthereumNews.com. The struggle by Cardano to maintain a valuation of $5 is drawing notice with Lyno AI token soaring on breakthrough technology. As ADA prepares to launch its November ZK smart contract milestone, AI technology is hitting the news with its unparalleled speed in trading and the self-governing community that the platform of Lyno AI offers.  Lyno AI’s $0.050 Presale Is Stealing Cardano’s Thunder—794K Tokens Sold: YOUR Gateway to 2000x Gains? Early Bird Presale Builds Wave at Lyno AI. Lyno AI is still at the Early Bird presale phase and costs 0.050 per token. The project is generating a lot of demand with 794,580 tokens sold and 39,729 raised. The price will increment to the next presale stage of $0.055. The target price will be pegged at 0.100 as the project is projected to grow at a rapid rate. Anyone who spends more than 100 dollars becomes eligible to a special Lyno AI giveaway that provides an opportunity to win 10K out of a 100K pool in total, an incentive that may appeal to early adopters. $100+ Unlocks Lyno AI’s 100K Giveaway—Snag $0.050 Tokens Before Cardano’s $5 Dream Slips and $0.055 Hits! Future achievements and lesser performance of Cardano. The price of Cardano has increased by 90 percent since it reached $0.55 after the integration of EMURGO Ctrl Wallet and is currently aiming to hit the elusive mark of 5 dollars. One of its major catalysts is its Nov 25, ZK smart contract upgrade. Nevertheless, the Ouroboros consensus on Cardano reduces the speed of swaps, so users are looking elsewhere. The oracles of Lyno AI inject real-time prices into 15+ blockchains, allowing arbitrage opportunities to scale faster than the slower rate of Cardano, with one user making a profit of 75 dollars on a 100 dollar bet in Mumbai. This acceleration…

Author: BitcoinEthereumNews

2025/09/29

Wall Street’s AI trade is outgrowing Big Tech – What does this mean for the Mag 7?

Wall Street’s AI trade is outgrowing Big Tech – What does this mean for the Mag 7?

The post Wall Street’s AI trade is outgrowing Big Tech – What does this mean for the Mag 7? appeared on BitcoinEthereumNews.com. Wall Street is rethinking its favorite collection of stocks. Big Tech, a.k.a. the Magnificent Seven (Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, and Tesla), once defined the AI boom, but the trade is spreading further. Since ChatGPT placed AI at the center of the global economy around three years ago, investors have gone crazy pouring money into Big Tech, making it responsible for more than half of the S&P 500’s 70% surge since 2023, according to data from Bloomberg. Now the gains are moving beyond Big Tech, and strategies built only around the seven giants risk missing the next winners. The group is still massive. The Mag 7 controls almost 35% of the S&P 500, with earnings projected to rise more than 15% in 2026 and revenue up 13%. The rest of the index is expected to post 13% earnings growth and just 5.5% in revenue. But performance inside the seven tells two different stories. Nvidia, Microsoft, Alphabet, and Meta are up between 21% and 33% this year. Apple, Amazon, and Tesla are trailing, their roles in an AI-driven market far less certain. Analysts add new companies to the trade Some on Wall Street are cutting the list down. A “Fab Four” of Nvidia, Microsoft, Meta, and Amazon has been suggested. Jonathan Golub at Seaport Research recommended removing Tesla to create a “Big Six.” Ben Reitzes at Melius Research added Broadcom to make an “Elite 8.” But none of these attempts capture all the companies benefiting from AI. Oracle has surged more than 75% in 2025 as its AI-related cloud services took off. Palantir, once a niche software firm, is now the top performer in the Nasdaq 100, surging 135% this year on AI demand. Jurrien Timmer, director of global macro at Fidelity Investments, which oversees $16.4 trillion, said: “A company…

Author: BitcoinEthereumNews

2025/09/29

Wall Street’s Magnificent Seven is losing its hold as AI trade expands beyond Big Tech

Wall Street’s Magnificent Seven is losing its hold as AI trade expands beyond Big Tech

Wall Street is rethinking its favorite collection of stocks. Big Tech, a.k.a. the Magnificent Seven (Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, and Tesla), once defined the AI boom, but the trade is spreading further. Since ChatGPT placed AI at the center of the global economy around three years ago, investors have gone crazy pouring money into Big Tech, making it responsible for more than half of the S&P 500’s 70% surge since 2023, according to data from Bloomberg. Now the gains are moving beyond Big Tech, and strategies built only around the seven giants risk missing the next winners. The group is still massive. The Mag 7 controls almost 35% of the S&P 500, with earnings projected to rise more than 15% in 2026 and revenue up 13%. The rest of the index is expected to post 13% earnings growth and just 5.5% in revenue. But performance inside the seven tells two different stories. Nvidia, Microsoft, Alphabet, and Meta are up between 21% and 33% this year. Apple, Amazon, and Tesla are trailing, their roles in an AI-driven market far less certain. Analysts add new companies to the trade Some on Wall Street are cutting the list down. A “Fab Four” of Nvidia, Microsoft, Meta, and Amazon has been suggested. Jonathan Golub at Seaport Research recommended removing Tesla to create a “Big Six.” Ben Reitzes at Melius Research added Broadcom to make an “Elite 8.” But none of these attempts capture all the companies benefiting from AI. Oracle has surged more than 75% in 2025 as its AI-related cloud services took off. Palantir, once a niche software firm, is now the top performer in the Nasdaq 100, surging 135% this year on AI demand. Jurrien Timmer, director of global macro at Fidelity Investments, which oversees $16.4 trillion, said: “A company can become too big to ignore. It could be that as the AI story evolves, new winners take the place of the old winners, even if the previous ones continue to do fine.” This is not the first time Wall Street has reshuffled the names that dominate. The Nifty Fifty ruled the 1960s, the Four Horsemen carried the Nasdaq through the dot-com bubble, and FAANG defined the mobile and social media era. Each club was dominant for its time, but each eventually gave way to new leaders. The same pattern is now playing out with AI. Index makers formalize the expansion Cboe Global Markets announced the Magnificent 10 Index on September 10, including the original seven plus Broadcom, Palantir, and Advanced Micro Devices. The announcement came the same day Oracle posted its biggest one-day gain since 1992 with a strong forecast, yet it was excluded. Nick Schommer, portfolio manager at Janus Henderson, which manages $34.7 billion, said: “We do need to expand the conversation beyond just the Mag Seven. Oracle is definitely a part of it now, and so is Broadcom.” Cboe said the index was built on criteria like liquidity, market value, trading volume, and leadership in artificial intelligence and digital transformation. Taiwan Semiconductor Manufacturing, Oracle, Broadcom, and Palantir are repeatedly mentioned by investors as critical to the AI ecosystem. Palantir is also singled out as one of the few clear software winners while firms like Salesforce and Adobe face doubts about being left behind. The AI boom is lifting companies outside the seven. Apple is flagged as falling behind in AI, while Tesla faces a crowded electric vehicle market. Still, both have loyal investors. Apple supporters believe the iPhone will become the gateway device for AI. Tesla’s backers place their hopes on Elon Musk’s push into autonomous driving and humanoid robots. AI demand is boosting energy producers, networking companies like Arista Networks, memory makers such as Micron, and storage firms including Western Digital, Seagate, and SanDisk. But not all players are available on the market. OpenAI, reportedly valued at $500 billion, remains private, as do Anthropic and SpaceX, though they still shape the AI environment. Want your project in front of crypto’s top minds? Feature it in our next industry report, where data meets impact.

Author: Coinstats

2025/09/29

AI Infrastructure: Unveiling the Trillion-Dollar Deals Powering the Future

AI Infrastructure: Unveiling the Trillion-Dollar Deals Powering the Future

BitcoinWorld AI Infrastructure: Unveiling the Trillion-Dollar Deals Powering the Future The cryptocurrency world has always understood the power of foundational technology, from the energy demands of mining to the intricate networks supporting decentralized finance. Now, another seismic shift is underway, mirroring that early scramble for essential resources: the race to build the AI Infrastructure that will power the next generation of digital innovation. Just as robust blockchain networks were crucial for crypto’s ascent, immense computing power and vast data centers are now the bedrock for artificial intelligence. The scale of investment is staggering, with industry leaders like Nvidia CEO Jensen Huang estimating that between $3 trillion and $4 trillion will be spent on this vital infrastructure by the end of the decade. This isn’t just about software; it’s about physical power, immense data facilities, and the underlying architecture that makes AI possible. This article delves into the colossal deals shaping this new frontier, examining how tech giants are pouring billions into building the future. The Billion-Dollar Race for AI Infrastructure The global pursuit of artificial intelligence dominance has triggered an unprecedented investment spree in foundational technologies. Every major tech player, from established giants to ambitious startups, recognizes that cutting-edge AI models are only as powerful as the infrastructure supporting them. This realization has ignited a parallel race, a true arms race in the digital realm, to construct the colossal computing backbone required. The figures involved are astronomical, placing immense strain on existing power grids and pushing the industry’s building capacity to its absolute limit. Companies like Meta, Oracle, Microsoft, Google, and OpenAI are at the forefront, orchestrating deals that redefine the scale of technological investment. Their spending is not just about gaining a competitive edge; it’s about laying the groundwork for an AI-driven future, one server rack, one data center, and one massive energy supply at a time. The sheer volume of capital flowing into this sector underscores its strategic importance, marking AI Infrastructure as the most critical investment area in tech today. Microsoft and OpenAI: A Strategic Partnership Evolves The contemporary AI boom arguably began with a pivotal agreement in 2019: Microsoft’s initial $1 billion investment in the then-non-profit OpenAI. This deal was more than just a financial injection; it strategically positioned Microsoft as OpenAI’s exclusive cloud provider. As the demands of AI model training intensified, Microsoft’s investment increasingly took the form of Azure cloud credits rather than direct cash. This arrangement proved mutually beneficial: Microsoft boosted its Azure sales figures, while OpenAI secured essential funding for its largest operational expense – computing power. Over the subsequent years, Microsoft’s commitment escalated, reaching nearly $14 billion, a move anticipated to yield substantial returns as OpenAI transitioned to a for-profit entity. This partnership became a blueprint for others in the industry. However, the dynamic between the two giants has evolved. In January, OpenAI announced it would no longer rely exclusively on Microsoft’s cloud services. While Microsoft retains a right of first refusal for future infrastructure needs, OpenAI is now free to explore other providers if Azure cannot meet its specific requirements. Concurrently, Microsoft has begun investigating alternative foundation models to power its own AI products, signaling a move towards greater independence from the AI pioneer. This strategic shift highlights the intense competition and the need for diversification in the rapidly expanding AI landscape. Other significant partnerships have emerged, reflecting the success of this model. Anthropic, for instance, has received $8 billion in investment from Amazon, alongside making kernel-level modifications to Amazon’s hardware to optimize it for AI training. Google Cloud has also forged “primary computing partner” agreements with smaller AI firms like Lovable and Windsurf, though these did not involve direct equity investments. Even OpenAI has continued to secure its computing future, notably receiving a substantial $100 billion investment from Nvidia in September, specifically earmarked for purchasing more of the company’s indispensable GPUs. Oracle’s Astounding Leap into Cloud Computing In a dramatic display of its ambition, Oracle has rapidly ascended as a major player in the AI Infrastructure arena. The first hint of this surge came on June 30, 2025, when Oracle disclosed an SEC filing revealing a $30 billion cloud services deal with an undisclosed partner. This figure alone surpassed Oracle’s total cloud revenues for the entire preceding fiscal year, sending a clear signal of its new strategic direction. The partner was later confirmed to be OpenAI, instantly securing Oracle a coveted spot alongside Google as one of OpenAI’s primary hosting partners post-Microsoft exclusivity. Predictably, Oracle’s stock experienced a significant rally, reflecting investor confidence in its newfound prominence. Just a few months later, Oracle made an even more astonishing announcement. On September 10, the company unveiled a five-year, $300 billion deal for compute power, slated to commence in 2027. This monumental agreement caused Oracle’s stock to climb even higher, briefly propelling founder Larry Ellison to the status of the world’s richest individual. The sheer scale of this deal is breathtaking, especially considering that OpenAI does not currently possess $300 billion in available funds. This massive commitment presumes immense future growth for both companies, coupled with a significant degree of faith in the long-term trajectory of AI development. Regardless of the future expenditure, this deal has already firmly cemented Oracle’s position as one of the preeminent Cloud Computing providers for AI workloads and a formidable financial force within the technology sector. It underscores the strategic importance of securing vast computing resources for AI development and deployment, making Oracle a critical enabler of the ongoing AI revolution. Building Hyperscale Data Centers: Meta’s Ambitious Plans For tech behemoths like Meta, which already command extensive legacy infrastructure, the journey into advanced AI Infrastructure is equally complex and considerably expensive. Mark Zuckerberg has publicly stated Meta’s intention to invest an astounding $600 billion in U.S. infrastructure by the close of 2028. This commitment reflects the company’s aggressive pivot towards AI. In just the first half of 2025, Meta’s spending surged by $30 billion compared to the previous year, predominantly fueled by its escalating AI ambitions. While a portion of this investment is directed towards substantial cloud contracts, such as a recent $10 billion agreement with Google Cloud, an even larger share is being channeled into the construction of two colossal new data centers. One such project is “Hyperion,” a sprawling 2,250-acre site in Louisiana, projected to cost an estimated $10 billion to build out. Upon completion, Hyperion is expected to deliver an impressive 5 gigawatts of compute power. A notable aspect of this site is its innovative arrangement with a local nuclear power plant, designed to manage the immense energy demands. Simultaneously, a slightly smaller facility named “Prometheus” in Ohio is anticipated to become operational in 2026, with its power supplied by natural gas. These massive undertakings, while crucial for advancing AI capabilities, are not without significant environmental costs. Elon Musk’s xAI, for instance, constructed its own hybrid data center and power-generation plant in South Memphis, Tennessee. This facility has quickly emerged as one of the county’s largest emitters of smog-producing chemicals, attributed to a series of natural gas turbines that environmental experts contend violate the Clean Air Act. The development of these hyperscale Data Centers highlights the critical need for sustainable energy solutions as the AI boom continues to accelerate, placing unprecedented demands on global power resources. The Stargate Moonshot: Grand Vision or Pipe Dream? Just two days after his second inauguration, President Trump unveiled a highly ambitious joint venture dubbed “Stargate,” involving SoftBank, OpenAI, and Oracle. This project was conceived with the staggering goal of investing $500 billion into building AI infrastructure across the United States. Named after the iconic 1994 film, Stargate was launched with immense fanfare, with Trump proclaiming it “the largest AI infrastructure project in history.” OpenAI CEO Sam Altman echoed this sentiment, declaring, “I think this will be the most important project of this era.” The broad outline of the plan designated SoftBank as the primary financier, with Oracle tasked with handling the extensive buildout, guided by input from OpenAI. President Trump committed to overseeing the initiative, promising to streamline regulatory processes to accelerate its progress. However, skepticism surfaced early on, notably from Elon Musk, a business rival of Altman, who publicly questioned whether the project had the necessary funds. As the initial hype subsided, the project’s momentum appeared to wane. In August, Bloomberg reported that the partners were struggling to reach a consensus on key aspects of the venture. Despite these challenges, the Stargate project has made tangible progress. Construction has commenced on eight Data Centers in Abilene, Texas, with the final building anticipated to be completed by the end of 2026. This initiative, while facing hurdles, underscores the national strategic importance placed on developing robust AI Infrastructure and securing a leading position in the global AI race. The Unseen Strain: Power Grids and Environmental Impact of AI Infrastructure The relentless expansion of AI Infrastructure, particularly the proliferation of hyperscale data centers, is placing an unprecedented strain on global power grids and raising significant environmental concerns. Training and running advanced AI models, especially those powered by high-performance GPUs from companies like Nvidia, consume vast amounts of electricity. This demand is not merely incremental; it represents a fundamental shift in global energy consumption patterns. Utilities worldwide are scrambling to upgrade infrastructure and secure new energy sources to meet the projected needs of these digital behemoths. The reliance on fossil fuels, such as natural gas, for powering many of these new facilities, as seen with Meta’s Prometheus project or xAI’s plant in Memphis, contributes directly to carbon emissions and air pollution, challenging environmental regulations like the Clean Air Act. This highlights a critical dilemma: advancing AI capabilities while simultaneously addressing climate change. The push for more sustainable energy solutions, including renewable sources and nuclear power, is becoming increasingly urgent. As more and more Data Centers come online, the long-term environmental footprint of the AI revolution will depend heavily on innovative energy strategies and a commitment to green technology, moving beyond purely economic considerations to embrace ecological responsibility. The Competitive Edge: How Cloud Computing Giants are Battling for AI Dominance The race to provide the underlying compute power for AI has transformed the Cloud Computing landscape into a fiercely competitive battleground. Major players like Microsoft Azure, Google Cloud, Amazon Web Services (AWS), and Oracle Cloud Infrastructure (OCI) are employing diverse strategies to capture market share. This includes offering highly specialized services, making strategic equity investments, and even engaging in bespoke hardware modifications to optimize for AI workloads. The partnerships with companies like OpenAI are central to these strategies. Microsoft’s early and deep integration with OpenAI gave Azure a significant head start, showcasing the power of a tightly integrated ecosystem. Amazon’s investment in Anthropic, coupled with kernel-level hardware adjustments, demonstrates a commitment to deep optimization for specific AI partners. Google Cloud, while not always making direct investments, is aggressively pursuing “primary computing partner” deals with emerging AI firms, integrating them into its expansive network. The competition extends beyond just cloud services to the very hardware that underpins AI. Nvidia, with its market-leading GPUs, plays a pivotal role, becoming an indispensable supplier for all these cloud providers and AI developers. The ability to secure access to Nvidia’s latest chips is a critical differentiator. This intense competition benefits AI developers by driving innovation, improving service offerings, and potentially lowering costs over time. However, it also creates a complex web of dependencies and strategic alliances, where the choice of a cloud provider can significantly impact an AI company’s development trajectory and market access. The battle for AI dominance is not just about who has the best models, but who can provide the most robust, scalable, and efficient Cloud Computing infrastructure to run them. Conclusion: The Enduring Legacy of the AI Infrastructure Race The colossal investments pouring into AI Infrastructure represent more than just a fleeting trend; they signify a fundamental reshaping of the global technological landscape. From Microsoft’s strategic early bets on OpenAI to Oracle’s breathtaking multi-billion-dollar deals and Meta’s commitment to hyperscale Data Centers, the scale of capital expenditure is truly unprecedented. This race is driving innovation, pushing the boundaries of what’s possible in Cloud Computing, and simultaneously creating immense challenges related to energy consumption and environmental impact. The pivotal role of companies like Nvidia, supplying the essential hardware, underscores the interconnectedness of this complex ecosystem. As AI continues to evolve and integrate into every facet of our lives, the robust, scalable, and sustainable infrastructure being built today will serve as its bedrock. These ambitious projects are not merely about supporting current AI models; they are about anticipating and enabling the next generation of artificial intelligence, ensuring that the future of innovation has the power and capacity it needs to thrive. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post AI Infrastructure: Unveiling the Trillion-Dollar Deals Powering the Future first appeared on BitcoinWorld.

Author: Coinstats

2025/09/29

This New Altcoin Dubbed ‘PEPE 2.0’ Could Hit The Crypto Top 10 Before HBAR and Chainlink

This New Altcoin Dubbed ‘PEPE 2.0’ Could Hit The Crypto Top 10 Before HBAR and Chainlink

The post This New Altcoin Dubbed ‘PEPE 2.0’ Could Hit The Crypto Top 10 Before HBAR and Chainlink appeared on BitcoinEthereumNews.com. For years, the market has trusted titans of utility, like Hedera’s HBAR and the oracle king, Chainlink, to lead the charge. They are the established infrastructure plays. Yet, a new challenger is emerging from the meme coin trenches, dubbed by many as the true ‘PEPE 2.0.’ This project, Layer Brett, is fusing viral cultural relevance with next-generation blockchain utility, creating a serious comparison against the deep-rooted projects like HBAR and LINK. Hedera: The Enterprise-Grade HBAR Network Hedera and its HBAR token are celebrated for incredibly high transaction speed and minimal fees, attracting massive enterprise partners. HBAR price action is often seen as slow and steady compared to the chaotic meme markets. Despite the immense utility, the HBAR price movement remains constrained by the very formality that attracts its institutional backers. It has a clear path forward, but the HBAR price rally may not be enough to bring it into the top 10. Chainlink: The Oracle King LINK Chainlink is undeniably the industry leader in decentralized oracle services, serving as the critical middleware that connects real-world data to smart contracts. The LINK token is a utility powerhouse, essential for securing trillions in on-chain value across DeFi. Chainlink consistently secures key institutional partnerships that reinforce the LINK network’s dominance. Despite this immense utility, Chainlink has not been immune to market consolidation, and its LINK price still has significant ground to cover to reclaim all-time highs. The LINK token’s success is intrinsically tied to the overall growth of the smart contract economy, making it a strong long-term bet, but perhaps less prone to the explosive surges seen in other segments. A top 10 coin? Not so soon. The Meme King: PEPE Pepe remains the undisputed meme king in the market, having achieved a massive market capitalization purely on cultural momentum and community spirit.…

Author: BitcoinEthereumNews

2025/09/29

Best Crypto to Buy Now: How Investing in Solana (SOL) and Mutuum Finance (MUTM) Could Transform Lives

Best Crypto to Buy Now: How Investing in Solana (SOL) and Mutuum Finance (MUTM) Could Transform Lives

As the crypto nears Q4 explosion, investors are looking at Solana (SOL) and Mutuum Finance (MUTM) as two altcoins that could deliver big returns. Solana continues to attract interest as a high-performance blockchain with a strong ecosystem of meme coins and DeFi. Mutuum Finance on the other hand is rapidly gaining traction as an innovative […]

Author: Cryptopolitan

2025/09/29

OpenAI is driving stock market highs while staying private and unprofitable

OpenAI is driving stock market highs while staying private and unprofitable

OpenAI is pulling U.S. markets higher while staying private and unprofitable. According to CNBC, Sam Altman’s artificial intelligence company is now valued at $500 billion and has been signing contracts worth tens to hundreds of billions of dollars even as it burns cash. Those deals have already pushed the Nasdaq and S&P 500 to record highs this week after Nvidia agreed to invest up to $100 billion in OpenAI. That agreement came right after a $300 billion deal between OpenAI and Oracle in July under the Stargate program, a $500 billion infrastructure project also funded by SoftBank. The spending spree has not slowed. On Thursday, CoreWeave announced it had signed to provide OpenAI up to $22.4 billion in AI infrastructure, an increase from the $11.9 billion first announced in March. Earlier this month, Broadcom said it had secured a new $10 billion customer, and analysts pointed to OpenAI. The company insists that scaling is key for future breakthroughs, but investors are beginning to question the size of the sums and OpenAI’s dependence on a growing network of infrastructure partners. OpenAI expands its giant web of commitments OpenAI has been busy building financial links with its suppliers.It took a $350 million stake in CoreWeave ahead of its IPO in March.Nvidia formalized its stake by joining a $6.6 billion funding round in October. Oracle is spending about $40 billion on Nvidia chips to power one of OpenAI’s Stargate data centers, Cryptopolitan reported from a Financial Times note in May. Earlier this month, CoreWeave disclosed an order worth at least $6.3 billion from Nvidia. Through the $100 billion investment in OpenAI, Nvidia will get equity and earn revenue at the same time. The revenue gap is huge. OpenAI expects only $13 billion this year. CFO Sarah Friar told CNBC, “When the internet was getting started, people kept feeling like, ‘Oh, we’re over-building, there’s too much. Look where we are today, right?’” Altman told CNBC in August that he is willing to run the company at a loss to prioritize growth and its investments. Analysts warn about risks tied to Nvidia deal Some analysts are sounding alarms. They say the Nvidia deal resembles vendor financing patterns that helped burst the dot-com bubble in the early 2000s. Nvidia has been the biggest winner of the AI boom because it makes the GPUs needed to train models and run large AI workloads. Its investment in OpenAI, to be paid out over several years, will help build data centers based on its GPUs. “You don’t have to be a skeptic about AI technology’s promise in general to see this announcement as a troubling signal about how self-referential the entire space has become,” Bespoke Investment Group wrote in a note to clients on Tuesday. “If NVDA has to provide the capital that becomes its revenues in order to maintain growth, the whole ecosystem may be unsustainable.” Peter Boockvar, chief investment officer at One Point BFG Wealth Partners, said the names of companies from the late 1990s were ringing in his ears after the OpenAI–Nvidia deal. He added that the transaction is “so much bigger in terms of dollars.” “For this whole massive experiment to work without causing large losses, OpenAI and its peers now have got to generate huge revenues and profits to pay for all the obligations they are signing up for and at the same time provide a return to its investors,” Boockvar said. An OpenAI spokesperson referred CNBC to comments from Altman and Friar this week, adding that the company is pursuing “a once-in-a-century opportunity that demands ambition equal to the moment.” Bain & Company’s 2025 Technology Report says total demand for compute could reach 200 gigawatts by 2030. Building enough data centers to meet that demand would cost about $500 billion a year, meaning AI companies would need a combined $2 trillion in annual revenue to cover the costs. Even if companies throw their full weight behind cloud and data centers, “the amount would still fall $800 billion short of the revenue needed to fund the full investment,” Bain said. Despite the concerns, Altman brushed off criticism on Tuesday and rejected the idea that the infrastructure spending spree is excessive. “This is what it takes to deliver AI,” Altman told CNBC. “Unlike previous technological revolutions or previous versions of the internet, there’s so much infrastructure that’s required, and this is a small sample of it.” Don’t just read crypto news. Understand it. Subscribe to our newsletter. It's free.

Author: Coinstats

2025/09/28

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Tesla stays competitive in China as January EV shipments tick higher

2026/02/06 14:52