$300 Billion in One Quarter, AI Absorbs 80% of Global Venture Capital Funding

marsbitОпубліковано о 2026-04-03Востаннє оновлено о 2026-04-03

Анотація

In Q1 2026, global venture capital funding reached a record $300 billion, with AI capturing 80% ($242 billion) of the total. Four mega-deals dominated: OpenAI ($122B), Anthropic ($30B), xAI ($20B), and Waymo ($16B), accounting for two-thirds of the quarter’s funding. The market showed extreme concentration, with fewer deals and larger average rounds, indicating a fragile breadth beneath the headline numbers. Crypto funding saw a modest recovery, reaching approximately $8.6 billion, though two-thirds of this occurred in March. Capital flowed mainly into regulated infrastructure like stablecoin payments, custody, and compliance, rather than speculative projects. Broader trends included growth in robotics, defense tech, and cybersecurity—often adjacent to AI. Geographically, the U.S. dominated with 83% of total funding, followed by China and the U.K. The venture market is increasingly fragmented: U.S.-led AI platforms attract massive late-stage capital, China’s on state-driven funding, and Europe faces a growth capital gap. Looking ahead, VC totals may remain high but concentrated. Valuation discipline is returning in secondary markets, exit windows remain volatile, and crypto must compete with AI for investor attention. The market is defined by selectivity and divergence, not broad recovery.

Author: insights4vc

Compiled by: Deep Tide TechFlow

Deep Tide Guide: insights4vc reviews the global venture capital market in Q1 2026. This quarter saw total funding of approximately $300 billion, hitting a new historical high, but 80% flowed into AI. OpenAI alone raised $122 billion, Anthropic $30 billion, xAI $20 billion, and Waymo $16 billion—these four deals accounted for two-thirds of global venture capital. Crypto funding saw a slight recovery, with about $8.6 billion in Q1, but two-thirds of that was concentrated in March, and funds primarily went to stablecoin payments and compliance infrastructure, while speculative projects remained cold.

Main Text:

The venture capital market in 2026 has entered a new phase. It no longer resembles a broad financing market supporting startups but functions more like a late-stage capital allocation machine revolving around a few AI platforms. Behind the record-breaking numbers lie extreme concentration at the top, fragile market breadth, and a still highly selective crypto recovery.

Caption: Global VC funding in Q1 2026 (Source: crunchbase.com)

Core Summary

  • Global VC funding in Q1 2026 was approximately $300 billion, covering about 6,000 companies, setting a new quarterly record. Late-stage and tech growth rounds contributed the majority of the funds.
  • AI captured the vast majority of capital: Crunchbase estimates about $242 billion, accounting for 80% of the quarter's total, a significant increase from AI's share a year ago.
  • The market exhibits a barbell structure: a few global strategic platforms received unprecedented funding pools, while broader deal volume remains sluggish, and fundraising conditions for most funds are still challenging.
  • Crypto and digital assets improved compared to the trough, but the rebound is narrow and highly dependent on timing. In some data sources, the explosive growth in March explains most of the crypto VC funding in Q1.
  • Within the crypto space, capital continues to migrate towards regulated channels and utility infrastructure (stablecoin payments, custody, compliance, tokenization), aligning with the increasingly clear policy environments in the U.S. and EU.
  • Areas still receiving funding outside of AI include robotics (often with AI attributes), defense tech, cybersecurity, and some fintech, but their importance is increasingly reflected through "AI adjacency" and sovereign/corporate strategic logic.

Q1 Data Overview

Crunchbase data shows global VC funding in Q1 2026 was approximately $300 billion, covering about 6,000 startups, with both quarter-on-quarter and year-on-year growth exceeding 150%. This figure is close to 70% of the total VC funding for the entire year of 2025.

However, the record amount does not imply record breadth. By stage, late-stage funding was about $246.6 billion across 584 deals; early-stage about $41.3 billion across 1,800 deals; and seed stage about $12 billion across approximately 3,800 deals. Even at the seed stage, some data shows rising amounts but a significant year-on-year decline in the number of deals. In other words, the average round size has increased, but the deal surface has not expanded. Investors are concentrating their time and allocations on fewer targets.

A simple but useful distinction is to separate "total volume" from "total volume excluding outliers." Just four super-sized rounds accounted for a large portion of global VC funding in Q1. Removing these outliers, the remaining portion is roughly around $100 billion, similar to the "strong but not record-breaking" quarters of 2024-2025. Q1 2026 broke records mechanically due to its reliance on a handful of deals.

Geographically, U.S. companies raised about $250 billion, accounting for approximately 83% of global VC funding, further increasing from an already high share. The second-largest market was China, with about $16.1 billion, and the third was the UK, with about $7.4 billion. This aligns with the basic fact that frontier AI and compute investments are most easily realized in the U.S., due to the high density of hyperscale cloud providers, concentrated GPU supply chains, and investor willingness to fund multi-year infrastructure spending.

AI Dominated This Quarter

AI's dominance in Q1 2026 cannot be ignored. Crunchbase estimates AI-related companies raised approximately $242 billion, accounting for 80% of global VC funding. For comparison: in Q1 2025, AI funding was about $59.6 billion, representing 53% of that quarter's total. Even considering database backfilling and definition drift, the direction is clear: AI has gone from the largest vertical to, on a funding-weighted basis, the venture capital market itself.

Caption: Quarterly trend of global AI funding (Source: crunchbase.com)

What has changed is not just the degree of enthusiasm. The funding model itself is shifting towards infrastructure underwriting, with funding rounds for a few companies resembling capital market events more than traditional venture capital. Four of the five largest VC rounds in history were completed in Q1 2026: OpenAI ($122 billion), Anthropic ($30 billion), xAI ($20 billion), and autonomous driving company Waymo ($16 billion), totaling $188 billion and accounting for approximately 65% of global VC funding.

Caption: Anthropic - Coatue Forecast Model

Anthropic's valuation logic is also supported by exceptionally strong operational data. According to Reuters, around its February 2026 funding, Anthropic's total annualized revenue had reached approximately $14 billion, with its Claude Code product alone generating over $2.5 billion in annualized revenue, and enterprise subscriptions quadrupling in 2026. By early March, Reuters reported total annualized revenue had further risen to about $19 billion. Investor enthusiasm stems not only from the option value of frontier models but also from rapidly materializing enterprise monetization capabilities. This explains why Anthropic is increasingly seen as a cleaner AI exposure, particularly in programming and enterprise workflow infrastructure.

Caption: Coatue forecasts Anthropic's valuation at $1.995 trillion by 2030

One deal epitomizes this paradigm shift. On March 31, OpenAI announced the completion of a $122 billion funding round at an $852 billion post-money valuation. The company explicitly positioned compute access as a core strategic bottleneck and outlined an infrastructure strategy spanning multiple cloud partners and chip platforms. The other two frontier labs reinforced the same model: Anthropic announced a $30 billion Series G in February at a $380 billion post-money valuation, with funds explicitly for frontier research, product development, and infrastructure expansion; xAI announced an expanded $20 billion Series E in January, with the core use also being large-scale compute infrastructure construction.

OpenAI's record-breaking funding also exposed an important market tension. Although it remains the largest capital magnet in AI, its shares are reportedly no longer sought after in the secondary market, with some institutional holders struggling to find buyers, while demand for Anthropic equity is strengthening. Bloomberg reported investors are shifting towards Anthropic, suggesting that scale alone may no longer be sufficient to sustain unlimited market demand for OpenAI at current price levels.

This is crucial because OpenAI's latest round's investor structure doesn't resemble a traditional VC syndicate. It was a strategic financing anchored by key suppliers and ecosystem partners, including Amazon, NVIDIA, SoftBank, and Microsoft, alongside over $3 billion raised from individual investors through banking channels. Effectively, this更像是 a mobilization of infrastructure-supportive balance sheets around a company deemed systemically important to the AI stack, rather than a pure expression of broad market confidence.

This distinction is important. It means frontier labs' primary market funding can maintain massive scale even as secondary market buyers become more valuation-sensitive. Anthropic raising $30 billion at a $380 billion post-money valuation reinforces this view: for many investors, Anthropic may offer a cleaner upside/price ratio compared to OpenAI at $852 billion. The broader implication is that late-stage AI capital is diverging—strategic capital is willing to support compute-intensive leaders at super scale, while financial capital is looking for the next relative winner, not the current category leader.

From this perspective, Q1 2026 is not only a record quarter for AI funding but also an early signal of valuation discipline beginning to re-enter the space through the secondary market, even as primary market round sizes continue to expand.

For institutional investors, a key细分 is that Q1 2026 AI funding should be broken into subcategories with varying durability: frontier model companies, infrastructure and data centers, chips and compute supply chain, agent and enterprise workflow platforms, robotics and autonomous systems, defense-related deployments. Most of this quarter's funding flowed to the most infrastructure-intensive layers, where competitive advantage is demonstrated through locked-in compute, distribution channels, and regulatory positioning, not just model quality.

Waymo is a典型案例 of the "physical AI" effect. The company raised $16 billion in February at a $126 billion post-money valuation, with funds explicitly for global expansion of autonomous mobility. Although often categorized under autonomous driving, Waymo's positioning and investment narrative increasingly fall under the broader "AI entering the physical world" category.

The resulting second-order effect is concentration risk. When four deals can account for two-thirds of global quarterly VC, record funding numbers are a fragile signal for startup health, job creation, and innovation breadth. For allocators: performance dispersion between top AI exposure and the rest of the VC ecosystem is more likely to widen than narrow.

Crypto's Position in the New VC Cycle

For specialized investors, crypto and digital assets were the second most relevant theme in Q1 2026, but the absolute scale is much smaller than AI. In crypto-specific funding trackers, Q1 2026 funding is typically in the high single-digit billions of dollars, with high monthly volatility. CryptoRank data shows 252 funding rounds in Q1, totaling $8.632 billion. March alone contributed approximately $5.95 billion (107 rounds), meaning about two-thirds of Q1 crypto VC funding occurred in the final month.

Caption: Crypto funding trends (Source: cryptorank.io)

This temporal concentration is the first reason for caution regarding a "rebound." A quarter pulled by a single month is susceptible to data revision risks (delayed reporting, reclassification) and narrative risks (a few deals being misinterpreted as a broad recovery). A second caution is the discrepancy among data providers. Other widely circulated crypto funding statistics for early 2026 show significant differences in amounts and deal counts due to varying scopes (venture equity vs. debt, PIPE, post-IPO financing, treasury financing strategies, acquisitions, undisclosed rounds).

Compared to historical cycles, Q1 2026 crypto VC更像是 a continuation of the "utility and channels" phase, not a broad speculative boom. In Q1 2025, CryptoRank estimated crypto VC funding at $4.8 billion, explicitly noting that a single $2 billion investment drove most of that quarter's data. Q1 2026 is similar—crypto remains highly sensitive to outliers, but the narrative focus has shifted from exchanges to stablecoin infrastructure and institutional enablement.

Specific cases support this "channels first" judgment. According to Reuters, stablecoin infrastructure company Rain raised a $250 million Series C at a $1.95 billion valuation, positioned for stablecoin-linked payment cards and wallets. Reuters also reported OpenFX raised $94 million to expand cross-border payment infrastructure based on stablecoins, with the product positioned for faster settlement and lower costs than traditional correspondent banking. These are not "token launch" stories but stories about payments and fund conduits with crypto underpinnings.

The macro and regulatory background also helps explain why stablecoins and tokenization continue to attract funding even amid crypto price volatility. KPMG's "Pulse of Fintech" report showed global total investment (including VC, PE, and M&A) in the "digital assets"领域 nearly doubled to $19.1 billion in 2025, explicitly citing driving factors: full implementation of EU MiCA, the U.S. GENIUS Act, and rising market interest in stablecoins and asset tokenization (particularly money market funds). The implication for Q1 2026 is: when crypto can integrate into regulated financial workflows (payments, custody, compliance, tokenized cash equivalents), the investor base broadens to include institutional capital previously absent.

But the rebound surface remains narrow. Even if Q1 2026 crypto VC reached $8-9 billion in some trackers, measured against the $300 billion global VC total, crypto's share remains in the low single digits. This creates an important strategic trade-off: crypto may marginally benefit from improved risk appetite, but it competes for attention with AI opportunities that have larger ticket sizes and faster adoption speeds.

A final detail is that crypto funding numbers might be distorted by large potential financings for mature giants, which may not translate into broad startup ecosystem funding. According to Reuters, Tether downplayed numbers around its potential multi-billion dollar funding discussions after reports of investor resistance emerged, suggesting that even if large deals happen, they reflect more about late-stage balance sheet strategies than ecosystem-wide early-stage expansion.

Broader Market Map

Beyond AI and crypto, Q1 2026 still offers signals about the positioning of the next VC cycle, but many are increasingly "AI-adjacent" rather than independent. Crunchbase data and commentary in late 2025 and early 2026 highlighted strong funding momentum in robotics, defense tech, cybersecurity, and some fintech, with common threads of automation, sovereignty, and infrastructure.

Robotics is a good case study. Crunchbase reported nearly $14 billion in robotics VC funding in 2025, up about 70% year-on-year, surpassing the 2021 peak. For institutional investors, this is not a "robotics hype" story but more a consequence of AI capital allocation: as models become commoditized, investors look for defensible moats in hardware integration, deployment constraints, and regulated operating environments.

Defense and dual-use technologies similarly sit at the intersection of geopolitics and AI capabilities. Crunchbase reported $8.5 billion in defense tech funding in 2025, a record high. In Europe, the Financial Times described growing VC activity in AI and defense in 2025, related to sovereign security concerns. These trends are important for Q1 2026 market positioning because they support a broader thesis: VC money is increasingly following national capability agendas, not just TAM narratives of consumer software.

Geography remains a key differentiator. The U.S. captured an unusually high share of global VC funding in Q1 2026. Europe, while not leading in total amount, continues to produce significant AI funding, including what the Financial Times described as Europe's largest ever seed round—a new AI startup raising over $1 billion. China's VC scene shows a different pattern: Reuters reported Chinese VC fundraising is expected to set a quarterly record, driven by state-led capital formation and policy pushes for AI/robotics, with government and state-owned entities being major limited partners.

The implication is: "Global VC" in 2026 is not one market but at least three partially independent machines—the U.S. system dominated by private super-rounds for frontier platforms, the Chinese system increasingly mediated by state capital allocation logic, and the European system maintaining innovation but constrained by expansion funding gaps, producing selective super-rounds rather than broad late-stage depth.

Outlook for the Second Half

The most useful way to think about the remainder of 2026 is scenario-based, as Q1's totals are异常 sensitive to classification and timing.

First, headline VC totals may remain high even if broad deal activity doesn't recover. Deal counts remain well below historical norms, while average round sizes are increasing. Q1 2026更像是 a continuation of this pattern rather than a reversal. If super-rounds continue, allocators might see "record VC funding" coexisting with emerging managers struggling to raise funds, seed funds lacking AI exposure being stuck, and founders outside thematic sectors finding it difficult to raise capital.

Second, valuation discipline is more likely to be tested than relaxed. Carta data shows that by Q4 2025, early-stage valuations hit records, with median post-money seed valuation reaching $24 million and Series A reaching $78.7 million, while the top 10% of U.S. startups on the platform took about half of the funding in 2025. This combination has historically been associated with greater outcome dispersion: companies perceived as category leaders command higher entry prices, while median companies face greater pressure to shut down or consolidate.

Third, the exit environment has improved in aggregate but remains fragile in terms of execution windows. Global exit activity has recovered from the trough, aided by IPO resumptions and continued M&A, but fundraising conditions remain weak, and public market volatility could close windows at any time. In early 2026, Crunchbase noted market volatility delayed some listing processes, even as private funding surged. The practical implication is that 2026 exits may still be uneven: open for elite assets, intermittently closed for others.

Fourth, for crypto investors and founders, the core question is whether crypto benefits from the AI-driven improvement in risk appetite or is crowded out by it. Current evidence is mixed. On one hand, stablecoin and payment projects are raising meaningful rounds and attracting mainstream VCs. On the other hand, the absolute scale of AI funding and its ability to attract sovereign, corporate, and strategic capital might draw marginal funds away from mid-sized crypto opportunities.

From insights4vc's perspective, the most noteworthy signals to watch for the remainder of 2026 are: Can crypto funding expand from channel infrastructure to genuine consumer adoption? Can tokenization move from pilot projects to repeatable institutional workflows? The direction is constructive, especially in payments, custody, compliance, and tokenized financial infrastructure, but regulatory and prudential hurdles may still slow actual deployment despite rising investor interest.

Conclusion

Q1 2026 is less a broad recovery of venture capital and more the emergence of a new funding paradigm. Record headline numbers are driven by a small group of AI and compute-intensive platforms at unprecedented scale, while the underlying deal breadth is far weaker than the surface numbers suggest. Crypto improved, but mainly in areas related to regulated financial infrastructure, not broad speculative demand. For investors and founders, the signal is clear: VC in 2026 is increasingly defined by concentration, selectivity, and widening dispersion, not a uniform recovery.

Пов'язані питання

QWhat percentage of global venture capital funding in Q1 2026 went to AI-related companies, and what was the total amount?

A80% of global venture capital funding in Q1 2026 went to AI-related companies, totaling approximately $242 billion.

QWhich four companies accounted for about two-thirds of the global venture capital funding in Q1 2026, and what were their funding amounts?

AThe four companies were OpenAI ($122 billion), Anthropic ($30 billion), xAI ($20 billion), and Waymo ($16 billion). Together, they accounted for about 65% of global VC funding.

QHow did the crypto/Web3 venture capital funding perform in Q1 2026, and what was a key characteristic of the investments?

ACrypto/Web3 venture capital saw an improvement with approximately $8.632 billion raised in Q1 2026. A key characteristic was that the funding was highly concentrated, with about two-thirds of it occurring in March, and it was primarily directed towards regulated, utility-focused infrastructure like stablecoin payments and compliance, rather than speculative projects.

QAccording to the article, what was a significant shift in the venture capital market's structure in Q1 2026?

AA significant shift was the market's transformation into a 'barbell structure,' where an unprecedented amount of capital was concentrated in a few global strategic AI platforms, while broader deal activity remained subdued, and fundraising for most funds was still difficult.

QWhat rationale did investors have for the massive funding rounds in AI companies like Anthropic, beyond just the potential of frontier models?

AInvestors were motivated by the companies' accelerating commercial traction and revenue generation. For example, Anthropic's annualized revenue reportedly grew to around $19 billion, with strong performance from products like Claude Code. This demonstrated a clear path to monetization, making it an attractive investment based on current commercial performance, not just future potential.

Пов'язані матеріали

Borrowing Money from a Hundred Years Later, Building Incomprehensible AI

Tech giants like Alphabet, Amazon, Meta, and Microsoft are undergoing a radical financial transformation due to AI. Their traditional "light-asset, high-free-cash-flow" model is being dismantled by staggering capital expenditures on AI infrastructure—data centers, GPUs, and power. Combined 2026 guidance exceeds $700 billion, a 4.5x increase from 2022, causing free cash flow to plummet (e.g., Amazon's fell 95%). To fund this, they are borrowing unprecedented sums through long-dated, multi-currency bonds (e.g., Alphabet's 100-year bond). The world's most conservative capital—pensions, insurers—is now funding Silicon Valley's most speculative bet. This shift makes these companies resemble heavy-asset industrials (railroads, utilities) rather than software firms, threatening their premium valuations. Historically, such infrastructure booms (railroads, fiber optics) followed a pattern: genuine technology, overbuilding fueled by competitive frenzy, aggressive debt financing, and a crash triggered by financial conditions—not technology failure. The infrastructure remained, but many original builders and financiers did not survive. The core gamble is a "time arbitrage": using cheap debt today to build scale and lock in customers before AI capabilities commoditize. They are betting that AI revenue will materialize before debt comes due. Their positions vary: Amazon is under immediate cash pressure; Meta's path to monetization is unclear; Alphabet has a robust core business buffer; Microsoft has the shortest path from infrastructure to revenue. The contract is set: the most risk-averse global capital has lent its time to Silicon Valley, awaiting a future that is promised but uncertain.

marsbit10 хв тому

Borrowing Money from a Hundred Years Later, Building Incomprehensible AI

marsbit10 хв тому

The 'VVV' Concept Soars 9x in Half a Year, The New AI Narrative on Base Chain

"The article explores the 'VVV' concept as the new AI-focused narrative within the Base ecosystem, centered around the token $VVV of the privacy-focused, uncensored generative AI platform Venice, led by crypto veteran Erik Voorhees. Venice has seen significant growth in 2026, with its API users surging, partly attributed to exposure from OpenClaw. The platform now boasts over 2 million total users and 55,000 paid subscribers. Correspondingly, the $VVV token price has risen over 9x this year. Key to its performance are tokenomics designed for value accrual: reduced annual emissions, subscription revenue used for buyback-and-burn, and a unique staking mechanism. Staking $VVV yields $sVVV, which can be used to mint $DIEM tokens. Each staked $DIEM provides a daily $1 credit for using Venice's API services, creating tangible utility. The article also highlights other tokens associated with the 'VVV' narrative. $POD, the token of distributed AI network Dolphin (which co-developed Venice's default AI model), saw a massive price surge. $cyb3rwr3n, a project for a Venice credit auction market, gained attention due to perceived connections to Venice's team despite official denials. Finally, $SR of robotics platform STRIKEROBOT.AI rose after announcing a partnership with Venice for robot vision-language model development. Overall, the 'VVV' ecosystem combines AI platform growth, deflationary tokenomics, and innovative utility mechanisms, driving significant investor interest and price action in related tokens."

marsbit19 хв тому

The 'VVV' Concept Soars 9x in Half a Year, The New AI Narrative on Base Chain

marsbit19 хв тому

Anthropic and OpenAI Have Single-Handedly Severed the Logic of Pre-IPO Stock Tokenization

The pre-IPO stock token market is experiencing significant turmoil following strong statements from AI giants Anthropic and OpenAI. Both companies have updated their official policies, declaring that any transfer of their company shares—including sales, transfers, or assignments of share interests—without prior board approval is "invalid" and will not be recognized in their corporate records. This means buyers in such unauthorized transactions would not be recognized as shareholders and would have no shareholder rights. A major point of contention is the use of Special Purpose Vehicles (SPVs), which are legal entities commonly used by pre-IPO token platforms to pool investor funds and indirectly acquire shares from employees or early investors. The companies explicitly state they do not permit SPVs to acquire their shares, and any such transfer violates their restrictions. They warn that third parties selling shares through SPVs, direct sales, forward contracts, or stock tokens are likely engaged in fraud or are offering worthless investments due to these transfer limits. This stance directly threatens the core model of many pre-IPO token platforms, which rely on SPV structures. The announcement revealed additional risks within this model, such as complex "SPV-within-SPV" layering that obscures legal transparency, increases management fees, and creates a chain reaction risk of invalidation. Following the news, tokens like ANTHROPIC and OPENAI on platforms like PreStocks fell sharply (over 20%). The market reaction highlights a divergence: while asset-backed pre-IPO tokens plummeted, purely speculative pre-IPO futures contracts, which are bilateral bets on future IPO prices with no claim to actual shares, remained relatively stable as they are unaffected by the transfer restrictions. The industry is split on the implications. Some believe the fundamental logic of pre-IPO token trading is broken if leading companies reject SPV-held shares, potentially causing a domino effect. Others, like Rivet founder Nick Abouzeid, argue that buyers of such unofficial tokens always knowingly accepted the risk of non-recognition by the company. The statements serve as a stark risk warning and a corrective measure for a market where valuations for some AI-related pre-IPO tokens had soared to irrational levels, far exceeding recent funding round valuations.

marsbit1 год тому

Anthropic and OpenAI Have Single-Handedly Severed the Logic of Pre-IPO Stock Tokenization

marsbit1 год тому

Anthropic and OpenAI Personally Sever the Logic of Pre-IPO Crypto-Stocks

The pre-IPO token market has been rocked by strong statements from Anthropic and OpenAI. Both AI giants have updated official warnings, declaring that any sale or transfer of their company shares without explicit board approval is "invalid" and will not be recognized on their corporate records. This directly targets Special Purpose Vehicles (SPVs), the common legal structure used by pre-IPO token platforms. These platforms typically use an SPV to acquire shares from employees or early investors, then issue blockchain-based tokens representing a claim on the SPV's economic benefits. Anthropic and OpenAI's position means that if an SPV's share purchase lacked authorization, the underlying asset could be deemed worthless, nullifying the token's value. Anthropic explicitly warned that any third party selling its shares—via direct sales, forwards, or tokens—is likely fraudulent or offering a valueless investment. The crackdown highlights risks in the popular SPV model, including complex multi-layered "Russian doll" SPV structures that obscure legal ownership, add fees, and concentrate risk. If one layer is invalidated, the entire chain could collapse. Following the announcements, tokens like ANTHROPIC and OPENAI on platforms like PreStocks fell sharply (over 20%). In contrast, purely speculative pre-IPO prediction contracts remained stable, as they involve no actual share ownership. The move is seen as a corrective measure amid a market frenzy where some pre-IPO token valuations (e.g., Anthropic's token hitting a $1.4 trillion implied valuation) far exceeded recent official funding rounds. Opinions are split: some believe this undermines the core logic of pre-IPO token trading if top companies reject SPVs, while others argue buyers always assumed this legal risk when accessing unofficial channels. The statements serve as a stark warning and a potential catalyst for market de-leveraging and clearer boundaries.

Odaily星球日报1 год тому

Anthropic and OpenAI Personally Sever the Logic of Pre-IPO Crypto-Stocks

Odaily星球日报1 год тому

The Waged Worker Driven to Poverty by AI Subscriptions

"AI Membership: The Hidden Cost Pushing Workers Toward 'Poverty'" The widespread corporate push for AI adoption is creating a hidden financial burden for employees. Companies, from giants like Alibaba to small firms, are mandating AI use, often tying token consumption to KPIs, but frequently refuse to cover the costs. Workers are forced to pay for subscriptions out of pocket to stay competitive and avoid being replaced. Front-end developer Long Shen spends up to 2000 RMB monthly on tools like Cursor and ChatGPT Plus, seeing it as a necessary 3% salary investment to handle 90% of his coding tasks. While it boosted his performance and led to promotions, he now faces idle time at work, pretending to be busy. Designer Peng Peng navigates strict company firewalls by using personal devices and accounts for AI image generation tools like Midjourney, spending hundreds monthly without reimbursement, while her boss demands faster, more numerous revisions. The pressure creates workplace anxiety and suspicion. Programmer Li Huahua, after a friend's experience of raised KPIs following AI success, fears being branded a "traitor" for using it yet worries about falling behind if she doesn't. The dynamic allows management to demand results without understanding the tools or covering expenses, treating employees like AI "agents." While some, like entrepreneur Jin Tu, find high value in paid AI, building entire systems and winning competitions, for most, it's a trap. Free tools like Kimi and Doubao are introducing fees, closing off alternatives. The initial efficiency gains individual advantage, but as AI becomes ubiquitous, the personal edge disappears, workloads increase, and a cycle of dependency begins. Workers like Long Shen realize they cannot maintain AI-generated code without AI, making stopping harder than continuing to pay. The tool promising liberation is instead becoming a compulsory, costly chain in the modern workplace.

marsbit2 год тому

The Waged Worker Driven to Poverty by AI Subscriptions

marsbit2 год тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити ONE

Ласкаво просимо до HTX.com! Ми зробили покупку Harmony (ONE) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Harmony (ONE).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Harmony (ONE)Після придбання Harmony (ONE) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Harmony (ONE)Легко торгуйте Harmony (ONE) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

313 переглядів усьогоОпубліковано 2024.12.12Оновлено 2025.03.21

Як купити ONE

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ONE (ONE).

活动图片