Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

Why analysts believe Bittensor’s ‘income desert’ could trigger TAO rerating

Pine Analytics warns that Bittensor's native token TAO, despite recent significant price appreciation, faces a fundamental risk due to its economic model. The analysis indicates that many of Bittensor's AI subnets, like the top subnet Chutes (SN64), are heavily subsidized by token emissions rather than genuine user demand. Without these subsidies, their services would be 1.6-3.5x more expensive than centralized competitors, completely inverting their cost advantage. The report projects that when emissions halve (estimated late 2026 or 2027), the network will face a critical challenge: either prices for AI services must double, miners will leave due to lower rewards, or the gap between subsidy and actual revenue will widen. This "income desert" scenario, with no verifiable demand data available, could trigger a major reassessment (rerating) of TAO's value as users seek cheaper alternatives and participants exit the network. Despite this bearish fundamental outlook, TAO's market sentiment had recovered to neutral at the time of writing following a substantial short-term price increase.

ambcrypto03/25 05:02

Why analysts believe Bittensor’s ‘income desert’ could trigger TAO rerating

ambcrypto03/25 05:02

Strategy Watch #2

Strategy Watch #2 provides institutional analysis of digital asset fund performance and allocation trends. The report covers six key areas: institutional capital flows, fund performance, macro strategies, on-chain vault returns, manager sentiment, and allocation updates. In February and early March, Bitcoin and Ethereum saw significant net outflows (-$9.6B and -$3.2B respectively), while stablecoins attracted inflows (+$6.2B), suggesting a defensive shift toward lower-risk assets. BTC ETF flows turned positive in March, though institutional conviction remains cautious. DeFi Total Value Locked (TVL) on Ethereum declined sharply, with peak outflows of -$23.7B in February, indicating reduced participation in on-chain yield strategies. CME basis yields continued to tighten, reflecting lower institutional leverage and softer derivatives demand. The report also highlights performance trends, with only one strategy type generating positive returns in February. Over 300 managers shared their three-month market outlook, and a new $750M fund of funds was announced.

insights.glassnode03/24 18:20

Strategy Watch #2

insights.glassnode03/24 18:20

Larry Fink Says Tokenization Will Transform Markets in 2026 Investor Letter

In his annual investor letter, Larry Fink emphasized that tokenization will transform financial markets by 2026, addressing inefficiencies and lack of accessibility in traditional systems. He highlighted that tokenization can enable faster, more transparent transactions and broaden global participation in investment markets. Fink noted that expanding access is crucial for equitable wealth distribution and long-term economic growth. He also pointed out that tokenization could increase asset liquidity, improve market transparency, and bridge traditional finance with digital assets. This shift is expected to create new opportunities, especially in private markets, and marks a fundamental evolution in how assets are traded worldwide.

TheNewsCrypto03/24 12:09

Larry Fink Says Tokenization Will Transform Markets in 2026 Investor Letter

TheNewsCrypto03/24 12:09

Bittensor (TAO) Bearish Logic: The Income Desert Beneath the Computing Power Myth

Bittensor (TAO), currently priced around $275 with a market cap of $2.6 billion, faces significant challenges in generating sustainable external revenue despite its strong narrative around token scarcity, institutional backing, and AI decentralization. The network relies heavily on inflationary token emissions to subsidize operations, with an estimated $36 million in annual incentives dwarfing confirmed external revenues of only $3–15 million. Key subnet Chutes (SN64), for example, receives subsidies 22–40 times higher than its actual revenue. Without subsidies, its costs would exceed those of centralized competitors. The network lacks transparent demand-side metrics, and its subnets operate in a highly competitive environment, squeezed between low-cost self-hosted solutions and heavily subsidized cloud giants. While TAO’s value is driven by speculative factors like scarcity, halving events, and ETF prospects, its fundamental economic model shows little evidence of long-term viability or competitive advantage in the AI services market.

marsbit03/24 10:10

Bittensor (TAO) Bearish Logic: The Income Desert Beneath the Computing Power Myth

marsbit03/24 10:10

AI Agent Economic Infrastructure Research Report (Part 2)

This report analyzes the AI Agent economy, focusing on OpenClaw—a local AI agent that operates autonomously across 20+ platforms like WhatsApp and Slack. It examines OpenClaw's technical architecture, including its message channels, security gateway, ReAct-based reasoning loop, and memory system, highlighting issues like context loss, security risks, and non-deterministic behavior. The study identifies key structural problems in the Agent economy, such as context immobility (locked to local machines) and the "coordination paradox" where multi-agent collaboration lacks trust and verifiability. It argues that crypto infrastructure (e.g., ERC-8004 for identity, x402 for payments) becomes essential only when agents operate across untrusted, cross-platform environments without pre-established trust—enabling micro-payments, decentralized reputation, and auditable logs. While traditional payment giants (e.g., Stripe, Visa) may dominate early adoption, crypto solutions could prevail in the long term due to their superiority in handling high-frequency, cross-border microtransactions and programmable permissions. The report concludes that infrastructure providers (e.g., those offering computation, routing, security) may capture more value than individual agents, and that "Product-Agent Fit" will replace traditional business models, shifting focus to API reliability, data structuring, and chain-verifiable service quality.

marsbit03/24 08:08

AI Agent Economic Infrastructure Research Report (Part 2)

marsbit03/24 08:08

BlackRock CEO's Annual Shareholder Letter: How Will Wall Street Continue to Make Money with AI and National Pension Funds?

BlackRock CEO Larry Fink's 2026 shareholder letter warns that AI is creating a "K-shaped outcome," accelerating wealth concentration. Over the past 20 years, the S&P 500 grew eightfold, but 54% of stock wealth went to the top 1% of U.S. households, while the bottom 90% held just 7%. Fink argues that AI could exacerbate this inequality by benefiting large corporations and investors. He proposes two solutions: a bipartisan plan to inject $1.5 trillion into a government-managed investment fund to address Social Security shortfalls, and the promotion of tokenization to lower investment barriers for ordinary investors through regulated digital wallets. Notably, BlackRock’s tokenized U.S. Treasury fund (BUIDL) has grown significantly, positioning the firm to benefit from both proposals. Simultaneously, JPMorgan launched a credit default swap basket targeting major tech firms, signaling institutional preparation for AI-related debt risks. Fink’s diagnosis of inequality is accurate, but his solutions align closely with BlackRock’s business interests, highlighting a structural overlap between his policy advocacy and the firm’s growth strategy.

marsbit03/24 08:05

BlackRock CEO's Annual Shareholder Letter: How Will Wall Street Continue to Make Money with AI and National Pension Funds?

marsbit03/24 08:05

The Software Industry Only Has Two Paths Left: Either 10% Growth with AI-Native Products or 40% Real Profit Margins

Software industry faces a binary future: companies must either achieve 10%+ revenue growth through truly new AI-native products or reach 40-50% real operating margins (including stock-based compensation) within 12-18 months. According to a16z's David George, the "comfortable middle ground" is disappearing. Public markets have repriced software valuations, forcing leaders to choose one path decisively. Path 1 requires radical restructuring to build AI-native offerings—not superficial additions—that drive meaningful growth. This involves reallocating 50% of R&D resources, adopting small agile teams, implementing usage-based pricing (tokens), and replacing executives who can't adapt. Path 2 demands extreme cost discipline: flattening hierarchies, minimizing customizations, raising prices strategically, and treating equity as real expense. AI should maximize engineer productivity, with token budgets per engineer seen as essential. Companies failing to commit will face valuation compression and dilution. Leaders must choose: hyper-growth through AI innovation or profitability through ruthless efficiency. No middle path exists.

marsbit03/24 07:18

The Software Industry Only Has Two Paths Left: Either 10% Growth with AI-Native Products or 40% Real Profit Margins

marsbit03/24 07:18

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

Dragonfly partner Robbie Petersen argues that the prevailing narrative about AI agents driving massive adoption of crypto payments is flawed. He contends that most agents—whether enterprise or consumer-facing—will not engage in autonomous transactions. Enterprise agents, which will constitute the majority of agent deployments, are an evolution of SaaS and will operate within closed organizational structures. They automate internal tasks (e.g., sales, accounting, legal review) without spending autonomously. Costs for API calls or data are abstracted into bulk, pre-negotiated invoices from platform providers, not paid per transaction. Consumer agents will act more as research assistants than independent economic actors. While they will excel at coordination and discovery (e.g., finding travel options), humans will retain final decision-making and payment authorization for all but the most repetitive purchases due to the qualitative, situational nature of consumer choice. Petersen identifies a narrow third category where crypto could win: permissionless, bottom-up agents (e.g., those inspired by OpenClaw) that operate truly autonomously and require high-frequency, granular payments. For these, blockchain's key advantage is not just technical efficiency but its open, permissionless nature, allowing experimental development without regulatory hurdles. However, he concludes that the larger bottleneck to a full autonomous agent economy is not payment infrastructure but human-centric legal, regulatory, and social frameworks.

marsbit03/24 05:02

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

marsbit03/24 05:02

The Last Time I'll Talk About Backpack, and Also Discussing My Airdrop Farming Principles

The author outlines two primary approaches to airdrop farming (referred to as "撸毛"): a labor-intensive" method of mass participation in many projects, and their own "sniper" method. The sniper approach relies on a rigorous four-point checklist to filter projects and avoid "industrial garbage." The checklist evaluates: 1. **Team (People):** Founders must be intelligent, have strong execution skills, and be genuinely well-intentioned. This is assessed through their social media content and, if possible, personal interactions. 2. **Product (Product-Market Fit):** The product must have a clear market fit, be delivered competently, and the team must show a responsible attitude towards its quality, avoiding releases full of basic errors. 3. **Narrative (Story):** The project should operate in a promising, unproven narrative within Web3 that also aligns with major investment trends in Web2 (e.g., AI). 4. **Timing & Cost (Market Conditions):** Avoid participating when market sentiment is overly FOMO-driven and participation costs are high. If an opportunity causes hesitation, it's best to skip it, as overcrowded airdrops yield minimal or negative returns. Applying this framework, the author explains why they avoided heavily farming the Backpack exchange airdrop: * **Narrative:** They are skeptical of the "compliant CEX" narrative, questioning its unique selling point against giants like Binance and OKX. * **Product:** They criticize Backpack's frequent technical failures, rollbacks, and what they perceive as a lack of product development rigor, comparing it unfavorably to competitors like Hyperliquid. * **Timing & Cost:** The participation cost was high compared to zero-fee alternatives available at the time. The author concludes that Backpack lacks the technical and operational prowess of a serious exchange and views its token more as a "VC-backed meme coin" for secondary market speculation rather than a worthwhile airdrop target.

比推03/23 20:38

The Last Time I'll Talk About Backpack, and Also Discussing My Airdrop Farming Principles

比推03/23 20:38

In-Depth Analysis of Circle: A Stablecoin Empire Held Hostage by Distribution and Interest Rates

Circle's 2025 fiscal year results reinforce its identity as a reserve-income business, not a diversified software platform. Total revenue reached $2.747 billion, with $2.637 billion coming from reserve income generated by its stablecoins, primarily USDC. Despite revenue growth, the company reported a net loss of $70 million, driven by high operating expenses and significant distribution costs. USDC circulation grew to $79.2 billion by March 2026, but profitability remains tightly linked to interest rates and distribution agreements, especially with Coinbase, which received over 50% of gross reserve revenue in some cases. While Circle is expanding into payment networks (CPN) and infrastructure services, these initiatives contributed only $110 million in non-reserve income in FY2025. The company’s financial performance is highly sensitive to fluctuations in short-term interest rates and USDC adoption. Its competitive position relies on regulatory compliance and institutional trust, but it faces challenges from Tether’s scale and emerging rivals like PayPal’s PYUSD and European bank-backed stablecoins. Circle’s valuation and near-term economics continue to be dominated by reserve income dynamics rather than platform diversification.

比推03/23 18:32

In-Depth Analysis of Circle: A Stablecoin Empire Held Hostage by Distribution and Interest Rates

比推03/23 18:32

活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow

Bitcoin