VC Investment Trends Shift: Public Chains and AI Cool Down; Prediction and Payment Take the Lead

Odaily星球日报Опубликовано 2025-12-27Обновлено 2025-12-27

Введение

Venture capital investment in the crypto sector is shifting significantly, moving away from previously dominant areas like Layer 1 and Layer 2 blockchains and AI projects. According to recent data, out of 73 projects that raised over $10 million in the past three months, almost none were new public chains. Similarly, AI × Web3 sector saw only two major raises, totaling $22.8 million. Instead, prediction markets and payment systems are now attracting substantial capital. Prediction platforms Polymarket and Kalshi alone secured over $3.15 billion, driven by Polymarket’s accurate election forecasts and growing user engagement. The payment and banking sector raised nearly $1.3 billion, with companies like Ripple Labs and Rapyd leading large rounds. Stablecoin transaction volumes now rival Visa, highlighting the sector’s expansion. Real World Assets (RWA) are also gaining traction, with over $850 million raised—led by Figure’s $787.5 million IPO. Tokenized assets on-chain now exceed $36 billion. Additionally, user-friendly infrastructure projects, such as simplified wallets and onboarding tools, are receiving significant investment to attract mainstream adoption. While DeFi remains active with around $740 million in funding, it no longer dominates VC attention. The trend indicates a clear pivot toward applications with real-world use cases and revenue potential over pure infrastructure.

Original | Odaily Planet Daily (@OdailyChina)

Author | jk

The cryptocurrency venture capital market is undergoing a quiet transformation. In DefiLlama's latest funding data, among the 73 projects that completed financings exceeding $10 million in the past three months, there are almost no Layer 1 or Layer 2 public chains to be found. The public chain sector, once considered the "holy grail," has now nearly disappeared. Meanwhile, prediction markets, payment systems, RWA (Real World Assets), and infrastructure targeting ordinary users are attracting massive capital inflows.

L1, L2 Boom Ends, Large AI Financings Also Nearly Extinguished

Looking back at the peak of the 2021-2022 bull market, new public chains like Solana, Avalanche, and Fantom routinely raised hundreds of millions of dollars, with investors vying to bet on "Ethereum killers." However, three years later, the market landscape has fundamentally changed.

From Movement, Story, to this year's Berachain and Monad, the era of large public chain financings is no longer the norm.

According to data from The Block, the overall funding for blockchain networks (including L1 and L2) in 2024 was approximately $1.8 billion. While still an important sector, growth has noticeably slowed. According to statistics by user @pgreyy on X, in Q4 2025, aside from Tempo (a new public chain focused solely on payments and backed by Paradigm), no new L1 or L2 managed to secure an investment exceeding $10 million.

Can a public chain without a $10 million investment still fulfill the role of a "world computer" or an "Ethereum killer"?

Investors have realized that the market doesn't need more "high-performance public chains"; it needs applications that can bring real users and real revenue. Crypto influencer @sjdedic stated his conclusion on X: "No one cares about infrastructure anymore. The spotlight has shifted to the application layer—consumer-facing products and real use cases. Those L1s stuck in the 'medium intelligence trap,' focusing only on technology while ignoring everything else, are in trouble." He further predicted: "I wouldn't be surprised to see applications valued at tens of billions of dollars in the coming years, while L1 tokens gradually lose market share and slowly become irrelevant."

Similarly, although AI is the hottest tech concept of 2025, among the crypto projects that raised over $10 million in the past three months, only two belong to the AI sector: Inference secured an $11.8 million seed round, and TAO Synergies Inc completed a $11 million private equity round, totaling just $22.8 million. Even removing the $10 million threshold, there are only 9. This number is a drop in the bucket compared to Web2. For comparison, a mid-sized payment company, Coinflow, raised a single round of $25 million.

Who would have thought that just a year later, not only has the spectacle of Virtuals vs. ai16z become彻底的历史 (thoroughly history), but the entire AI x Web3 sector has also cooled down.

Rise of Emerging Sectors

Prediction Markets: From Fringe to Mainstream

Prediction markets are undoubtedly the dark horse of 2025 and the most prominent sector in this round of data. Polymarket and Kalshi alone attracted over $3.15 billion in funding, dominating the entire list. Polymarket generated over $3.3 billion in trading volume during the 2024 US election period, and its predictions were even more accurate than traditional polling agencies. In October 2025, the Intercontinental Exchange (ICE)—the parent company of the New York Stock Exchange—announced a massive $2 billion investment in Polymarket, pushing its valuation to $8-9 billion. Polymarket had also completed a $150 million funding round earlier.

Meanwhile, Kalshi not only completed a $1 billion Series E round but also secured a $300 million Series D round for its DeFi business, with investors including Sequoia, a16z, and Paradigm.

Payments & Banking: The Stablecoin "Super Cycle"

So who picked up the heat from public chain funding? The answer is undoubtedly the payments/banking sector.

Judging by the funding data, the payments sector raised nearly $1.3 billion, covering a complete ecosystem from underlying infrastructure to consumer applications. In 2025, stablecoin circulation grew by approximately $30 billion since the start of the year, with monthly transaction volumes exceeding $1 trillion, now comparable to Visa's scale.

Ripple Labs secured a $50 million strategic investment, and Rapyd completed a $50 million Series F round. These two companies alone raised $100 million, accounting for the majority of the payments sector. While giant players continue to lead, new digital banks, interbank B2B services, and financial services are also active. Singapore's Pave Bank, France's digital bank Deblock, Switzerland's Future Holdings, and the Netherlands' Amdax all received over $20 million in funding.

It's hard to imagine that in 2019, VC investment in the stablecoin field alone was less than $50 million.

RWA: Bridging Virtual and Real

Real World Asset tokenization (RWA) is moving from the experimental phase to scaled application. Looking at the funding data, Figure led the entire RWA sector with an IPO size of $787.5 million. Combined with its additional $25 million funding, one company contributed over 95% of the RWA sector's funding. RWA compliance company Satschel secured a $15 million equity round, on-chain stock trading infrastructure company Block Street completed an $11.5 million round, bringing the total RWA sector funding to over $85 million.

According to data from RWA.xyz, on-chain tokenized assets exceed $36 billion. Among them, the market cap of tokenized gold grew from $1 billion to over $3.27 billion in 2025, a 227% increase.

Simultaneously, traditional asset management giants like BlackRock, Apollo, and Franklin Templeton are actively tokenizing institutional-grade products. Private equity fund managers are beginning to adopt blockchain to represent ownership of traditional assets, enabling fractional ownership and instant settlement.

Another focus for VCs is infrastructure projects that can reach ordinary users. The characteristic of these projects is lowering the barrier to using cryptocurrency, allowing non-crypto-native users to easily access blockchain services. Directions like wallet abstraction, social logins, and fiat on/off ramps are attracting investment. The U card RedotPay received a $47 million strategic investment, investment company Finary completed a $29.4 million Series A, and self-custody company Bron secured a $15 million seed round. These projects are lowering the threshold for users to use cryptocurrency, paving the way for the next wave of user growth.

DeFi: Steady Recovery

DeFi showed steady performance in this funding round, raising a total of approximately $74 million. However, compared to the prediction markets and payments sectors, the scale of individual financings was significantly smaller. Decentralized exchange Flying Tulip became the funding champion among pure DeFi projects with a $20 million seed round. Lighter secured $68 million, and Jito received a $50 million strategic investment. The 2025 funding data reflects a more cautious valuation attitude from VCs towards the DeFi sector. According to The Block's data, the DeFi sector completed over 530 financings in 2024; 2025 has clearly not reached that scale.

Связанные с этим вопросы

QAccording to the article, which sectors have seen a significant decline in VC funding for large-scale projects (over $10 million) in the past three months?

AThe article states that Layer 1 and Layer 2 public blockchains have nearly disappeared from large funding rounds. The AI x Web3 sector has also seen a significant cooling, with only two AI projects raising over $10 million in that period.

QWhat are the two prediction market companies mentioned that collectively raised over $3.15 billion, and what was a key event that demonstrated their utility?

AThe two prediction market companies are Polymarket and Kalshi. A key event demonstrating their utility was the 2024 U.S. presidential election, during which Polymarket processed over $3.3 billion in trading volume and its predictions were more accurate than traditional polling agencies.

QHow does the current scale of stablecoin transaction volume compare to a major traditional payment network, and which payment companies received the largest investments?

AThe monthly transaction volume of stablecoins has surpassed $1 trillion, which is comparable to the transaction scale of Visa. The payment companies that received the largest investments were Ripple Labs ($500 million strategic investment) and Rapyd ($500 million Series F round).

QWhat does RWA stand for, and which company in this sector had a major liquidity event mentioned in the article?

ARWA stands for Real World Assets. The company Figure had a major liquidity event, leading the sector with an IPO that raised $787.5 million, in addition to another $25 million in funding.

QWhat shift in investor focus does the crypto influencer @sjdedic describe, and what is the 'medium IQ trap' he references?

A@sjdedic describes a shift in investor focus from infrastructure to the application layer—consumer-facing products and real-use cases. The 'medium IQ trap' refers to L1 blockchains that are overly focused on technical aspects while ignoring other crucial elements like user adoption and real revenue, causing them to fall into困境 (difficulties).

Похожее

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit8 ч. назад

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit8 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit9 ч. назад

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit9 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit10 ч. назад

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit10 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片