Today's Cryptocurrency Prices by Market Caps
The global cryptocurrency market cap today i $2.55T
Market Cap
$2.55T
24h Trading Volume
$87.51B
BTC Dominance
57.26%
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Latest Crypto News
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SpaceX $140B Windfall + Buffett Gain Fuel GOOGL Rally — Crypto Traders Take Note
Headline: Alphabet in the Spotlight — SpaceX Windfall, Buffett Gains, and Wall Street Bullish on GOOGL Alphabet’s Class A shares (GOOGL) are drawing attention for good reason. Two major developments this month — a potential SpaceX liquidity windfall and a profitable Berkshire Hathaway stake — have helped push the stock higher and renewed bullish sentiment among analysts. SpaceX payday could unlock roughly $140 billion Alphabet is sitting on one of the biggest potential gains from SpaceX’s planned IPO. The search giant — which invested $1 billion alongside Fidelity back in 2015 — could see that stake translate into roughly $140 billion in shares when SpaceX lists at a $1.75 trillion valuation. That is meaningful firepower: Alphabet could liquidate some of those shares if needed to help fund its aggressive AI spending, which has reportedly reached about $175 billion. Buffett’s bet pays off, and he’s holding Another tailwind: Warren Buffett’s Berkshire Hathaway bought about $4.34 billion of Alphabet stock roughly six months ago and has papered a gain of around $1.3 billion. Crucially, Berkshire hasn’t sold, a show of long-term conviction that markets are interpreting as bullish for GOOGL. Quick market move — and room for more The market has already reacted. GOOGL climbed from $273 to $316 in eight trading sessions — a roughly 16% move in under 10 days. Early buyers captured double-digit returns, and analysts see further upside as headline catalysts remain supportive. Analyst targets and consensus Traders Union recently raised its price outlook, forecasting GOOGL could reach $382–$425 by the end of 2026, with the higher end contingent on a broader market recovery amid geopolitical tensions in the Middle East. Wall Street consensus skews positive: out of surveyed analysts, 48 rate GOOGL a “strong buy,” 190 a “buy,” 30 a “hold,” and none a “sell.” Why crypto traders should care For crypto-focused traders, the story matters beyond equities. A potential large liquidity event for Alphabet and sustained confidence from large institutional holders can shift broader risk appetite and dollar and tech-stock correlations that often influence crypto flows. Geopolitical risks that pressure markets can also drive short-term crypto volatility, so monitoring these developments can inform cross-market positioning. Bottom line Alphabet’s SpaceX stake and Berkshire’s profitable — and still-held — position are fueling renewed optimism. With strong analyst backing and recent momentum, GOOGL is worth watching for investors looking for further upside, but keep an eye on geopolitical risks and how any liquidity moves might ripple across markets, including crypto. Read more AI-generated news on: undefined/news
TSMC Q1 Beat Puts GPU Supply, Crypto Infrastructure in Focus Ahead of April 16 Earnings
Taiwan Semiconductor Manufacturing Co. (TSMC) heads into earnings season with momentum. The world’s largest contract chipmaker will report Q1 results on April 16 after already posting a strong March update: revenue for the quarter jumped roughly 35% year-over-year to $35.71 billion, beating expectations and sending TSM stock up about 2.2% on Friday. Why it matters for markets (and crypto infrastructure) Gartner this week forecast that global semiconductor spending — including GPUs, memory and storage chips — will hit $1.3 trillion in 2026, the biggest two-decade surge the industry has seen. Analysts say the AI-driven demand that powered 2025 cooled briefly in early 2026 but is expected to resume, and TSMC, as the primary maker of advanced nodes, is well positioned to capture much of that growth. That matters beyond traditional tech: GPUs and high-performance chips factor into AI data centers, high-performance computing and certain blockchain and crypto infrastructure workloads that rely on GPU-accelerated processing. Key customers and recent performance TSMC supplies advanced semiconductors to major tech names including Apple and Nvidia. The stock has reflected that dominance — surging more than 140% over the past 12 months — as investors price in continuing demand for chips used in AI data centers, HPC and next-gen smartphones. Analyst expectations and sentiment Ahead of the April 16 report, Wall Street expects TSMC to earn $3.27 per U.S. share in Q1 — a jump of about 53% year-over-year. Wedbush analyst Matt Bryson summed up the view in a client note: TSMC’s results “fit our conversations,” and demand for advanced-node foundry production remains “extremely healthy” because of robust AI requirements. Bryson rates TSM stock as outperform. Consensus is overwhelmingly positive: 98% of the 51 analysts covering TSMC rate it a buy. The median price target sits at $437.50, implying roughly 17% upside from current levels, while the most bullish 1-year target reaches $550 — more than 45% above current prices. What investors will watch on April 16 - Actual revenue and EPS versus expectations. - Management’s near-term guidance and capital expenditure plans tied to AI capacity expansion. - Signs of whether AI demand resumes momentum through the rest of 2026. Bottom line: With a blockbuster revenue print already in the books and analyst sentiment overwhelmingly positive, TSMC’s April 16 earnings will be a key read for investors tracking the semiconductor cycle — and for crypto and blockchain players watching the supply of high-end compute that underpins AI and GPU-accelerated workloads. Read more AI-generated news on: undefined/news
Alibaba's HappyHorse-1.0 Tops AI Video Benchmarks — What It Means for NFTs & Web3
Alibaba has quietly surged to the front of the AI video race. Its new model, HappyHorse-1.0, vaulted to the top of global benchmarks on April 7 — briefly under an anonymous entry — and emerged as the leader in blind tests for both text-to-video and image-to-video generation on the Artificial Analysis platform. The result highlights how Chinese tech firms are rapidly closing the gap in tools that power advertising, content creation and entertainment. What happened - HappyHorse-1.0 first appeared on the benchmarking site without an identified developer, sparking industry speculation that ranged from Tencent to independent teams. After several days, the model’s creators confirmed it belongs to Alibaba’s ATH AI Innovation Unit via a newly created X account. The model remains under active development. - The reveal gave Alibaba a modest market bump: Hong Kong-listed shares closed 2.12% higher the Friday the confirmation came, after earlier gains of about 6.75% during the week amid a broader tech recovery. Why it matters - Video generation is a strategic frontier for digital media and commerce. Alibaba already embeds AI across e-commerce, advertising and entertainment — and HappyHorse-1.0 could be another building block for those integrations. - The win comes as some rivals reassess video efforts: OpenAI sunset its Sora video project to refocus on coding, enterprise services and AGI, while ByteDance paused the rollout of Seedance 2.0 following copyright disputes with major studios and streamers. That leaves openings for companies with both models and infrastructure to scale. Infrastructure and investment: Alibaba is building muscle - Alibaba is expanding its compute footprint in partnership with China Telecom on a southern China data centre intended to boost domestic AI capabilities. - The facility is slated to deploy 10,000 of Alibaba’s in‑house Zhenwu AI chips, designed for both training and inference and capable of supporting models with hundreds of billions of parameters. Alibaba says the chips can be pooled into a unified cluster that behaves like a single supercomputer with roughly four microseconds of latency — a configuration meant to improve efficiency for very large AI workloads. - CEO Eddie Wu has put AI at the center of Alibaba’s long-term strategy, with investments in chips, cloud infrastructure and data centres intended to scale model deployment across its businesses. Ecosystem moves: funding and competition - Alibaba Cloud led a roughly $275 million funding round for Chinese video-generation startup Shengshu Technology, joined by Baidu Ventures and Luminous Ventures. This follows a RMB 600 million financing Shengshu closed just two months earlier. - Shengshu’s Vidu platform competes with products from ByteDance, Kuaishou, Alibaba itself and emerging rivals like PixVerse, signaling that investment and competition in video generation remain intense even as infrastructure and models mature. What this could mean for crypto and web3 audiences - Faster, cheaper and higher-quality AI video tools can accelerate content creation for NFTs, tokenized media and immersive experiences — while raising fresh questions about copyright, provenance and on-chain metadata for creative assets. The shifts in model capability and centralized infrastructure investment are trends for web3 projects to watch as they consider AI-driven content pipelines or decentralized alternatives. Bottom line: Alibaba’s HappyHorse-1.0 win is more than a benchmark headline. It underscores China’s growing push to combine advanced models with the specialized hardware and cloud scale needed to deploy them broadly — and it tightens the global competition in AI-driven media at a time when rivals are reassessing their own video strategies. Read more AI-generated news on: undefined/news
Binance's CZ: Crypto Will Be 'Invisible' — We Won't Call It Crypto in 5 Years
Binance co-founder Changpeng “CZ” Zhao says crypto is on track to become so commonplace that we’ll stop calling it “crypto” within five years — much like how we stopped talking about TCP/IP or HTML once the internet became simply “the internet.” On Scott Melker’s Wolf of All Streets podcast, Zhao argued the industry’s aim should be to make blockchain and digital assets a background utility rather than the headline. “I’m hoping that we don’t talk about crypto as crypto in five years, just like we don’t talk about the internet anymore… We just use it,” he said, comparing today’s technical jargon to the early web era that gradually receded from public conversation. That optimism is reflected in a string of bullish forecasts and adoption signals. DemandSage estimates global crypto users will reach about 559 million in 2026. Financial institutions are preparing for tokenized markets: a Citi survey from last September found most banks and asset managers expect tokenized securities and stablecoins to account for roughly 10% of global post-trade market turnover within five years. Longer-term market projections are even more ambitious. ARK Invest has forecasted the digital asset market could expand to $28 trillion by 2030. Tether co-founder Reeve Collins has suggested that nearly all traditional currencies could eventually migrate into stablecoins, while Chainalysis has offered an extreme scenario in which stablecoin volumes hit $1.5 quadrillion by 2035. Zhao also tied blockchain’s future to the rise of artificial intelligence, predicting that AI-driven financial agents will push broader adoption. “I think there’s really three big industries in my adult lifetime: the internet, blockchain and AI. Any country that misses one of them is going to be severely disadvantaged,” he said, stressing the strategic importance of combining these technologies. Geopolitically, the tech race is uneven. Microsoft recently identified the U.S. as the leader in AI infrastructure, but other countries are moving faster in specific areas: Signzy and Arkham have pointed to Switzerland as a leading crypto hub, and observers note the United Arab Emirates has outpaced the U.S. in day-to-day use of emerging digital tools. As the ecosystem matures, Zhao has advised developers — particularly in AI — to prioritize real-world utility over token launches designed primarily to raise capital. That, he argues, is how blockchain will stop being an end in itself and become an invisible backbone of everyday services. Whether five years is enough for crypto to fully fade from terminology remains to be seen, but Zhao’s view highlights a growing industry narrative: mainstreaming, not hype, is the next milestone. Read more AI-generated news on: undefined/news
Molotov Thrown at Sam Altman’s Home — Suspect Arrested After Threats Near OpenAI HQ
A suspect has been arrested after a Molotov cocktail was thrown at the San Francisco home of OpenAI CEO Sam Altman, police and media reports say. San Francisco police responded at about 4:12 a.m. PT Friday to a reported fire at Altman’s North Beach residence, NBC News reported. Investigators say an unknown man hurled an incendiary device that ignited a blaze on an exterior gate before fleeing the scene. Officers described the device as a Molotov cocktail or a similar homemade incendiary. Later the same morning, police detained a man near OpenAI’s San Francisco headquarters after he allegedly threatened to burn down the building. Responding officers recognized him as the same individual involved in the earlier attack and took him into custody. Authorities described the suspect as a 20-year-old man; his name has not been released. Charges are pending and the investigation remains active. “Early this morning, someone threw a Molotov cocktail at Sam Altman’s home and also made threats at our San Francisco headquarters,” an OpenAI spokesperson told Decrypt. “Thankfully, no one was hurt. We deeply appreciate how quickly SFPD responded and the support from the city in helping keep our employees safe.” The company said it is cooperating with law enforcement. The incident arrives amid a broader uptick in violent threats tied to disputes over artificial intelligence and data infrastructure. Officials point to a recent case in Indiana where shots were fired into the home of a city council member who supported a data center; a note left at that scene read, “No data centers.” In November, OpenAI reportedly temporarily locked down its San Francisco offices after receiving a violent threat linked to an anti-AI activist who had previously visited the company’s facilities, Wired reported. Why it matters to crypto and tech communities: high-profile figures in AI and web3 often draw intense public scrutiny, and acts of violence or threats can ripple across tech ecosystems—affecting personnel safety, office security, and investor and user confidence. For now, law enforcement and OpenAI say there are no injuries, and the case remains under active investigation. Sam Altman has not publicly commented on the incident. Read more AI-generated news on: undefined/news
Usage Up, Trust Down: Gen Z’s AI Skepticism Is a Wake-Up Call for Crypto
Gen Z is using AI more — and liking it less. A new Gallup survey, conducted Feb. 24–Mar. 4 for the Walton Family Foundation and GSV Ventures, polled 1,572 Americans aged 14–29 and found a striking split: 51% of Gen Z now use generative AI at least weekly (up 4 points year-over-year), yet enthusiasm is slipping fast. Key takeaways - Usage up, sentiment down: Weekly use rose to 51%, but excitement about AI plunged 14 percentage points to 22%, and hopefulness fell 9 points to 18%. Anger toward AI climbed 9 points to 31%. - Even heavy users are souring: Among daily AI users, excitement dropped 18 points from last year. - Learning and cognition concerns: Eight in 10 Gen Zers say relying on AI to finish work faster will probably make learning harder in the long run. Prior 2024 research has linked overreliance on tools like ChatGPT to procrastination and memory loss in students. - Creativity and trust erode: Only 31% of respondents now believe AI helps them come up with new ideas (down from 42%), and just 37% trust AI for accurate information (down from 43%). Separate studies also suggest generative AI can boost individual output while narrowing the diversity of creative work. - Workplace skepticism: Among employed Gen Z, 48% say the risks of AI at work outweigh the benefits (an 11-point jump). Only 15% see AI as a net positive for their careers. Less than 20% would pick AI over a human for tutoring, financial advice, or customer support. Trust in AI-assisted work is 28% versus 69% for human-only output. - Academic fallout and policy: Nearly three-quarters of K–12 schools now have AI policies (a 23-point increase in a year), but 41% of students believe most classmates are using AI for schoolwork when they shouldn’t. A separate Gallup study found 42% of bachelor’s students have reconsidered their major because of AI. What they’re saying Zach Hrynowski, senior education researcher at Gallup, summarized the shift: “In most of these cases, Gen Zers have become increasingly skeptical, increasingly negative—from a place where even last year, they weren’t particularly positive about it.” Stephanie Marken, a senior partner at Gallup, added: “Their growing skepticism signals a need for more thoughtful integration of these tools in both school settings and the workplace.” For students facing career uncertainty, the angst is personal: “I feel like anything that I'm interested in has the potential of maybe getting replaced,” said Sydney Gill, a 19-year-old freshman at Rice University. Why it matters — and what it means for crypto Gen Z was widely expected to be the natural adopter of AI-driven tools, but the survey shows they’re using AI out of necessity more than enthusiasm. For the crypto and Web3 world — where many projects promise AI-native products, tokenized incentives, or automated services — this ambivalence matters. Projects that lean heavily on AI-generated content or automated governance may face skepticism from younger users who worry about creativity, accuracy, and career impact. Conversely, blockchain-based transparency, reputational systems, and human-in-the-loop models could win favor if they address trust and learning concerns. Bottom line Gen Z’s relationship with AI is complicated: adoption rises while trust and optimism fall. The generation recognizes AI’s utility but increasingly worries about its long-term effects on learning, creativity, and career prospects — a trend that will shape how tech, education, and even crypto products are built and marketed to younger users. Read more AI-generated news on: undefined/news