2026-06-04 Четверг

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API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

The AI industry is shifting from simply selling APIs to providing intensive, on-site consulting services, as major players like OpenAI and Anthropic seek new revenue streams to justify high valuations. OpenAI has established "Deploy Co," raising over $40 billion from investors led by TPG at a $140 billion valuation. The deal has an unusual structure, guaranteeing investors a minimum 17.5% return with a profit cap, resembling debt more than equity. OpenAI also acquired the AI consulting firm Tomoro to gain over 150 "Frontline Deployment Engineers" (FDEs). Similarly, Anthropic formed a $15 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs with the same goal: embedding engineers within client companies. A key driver is Anthropic's rapid market share growth, now holding 40% of the enterprise LLM API market compared to OpenAI's 27%, which has put pressure on OpenAI to accelerate its enterprise strategy. Notably, major consulting firms Bain & Company, McKinsey & Company, and Capgemini are among the investors in OpenAI's venture, a move seen as either seeking deeper insight into AI or funding their potential future disintermediation. This pivot is creating a major shift in tech employment. Demand for FDEs—who integrate AI into client workflows on-site—has surged over 800% in the past year, with salaries reaching $350,000-$550,000. Meanwhile, demand for traditional software engineers has declined significantly. The trend marks a strategic inflection point: core AI models are becoming commoditized, while the complex, labor-intensive work of deployment is becoming the new high-value, capitalized service layer. The $55 billion in combined funding represents a bet that hands-on consulting, not just API access, is the future of enterprise AI monetization.

marsbit2 дня назад 11:51

API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

marsbit2 дня назад 11:51

Reddit Crypto Discussion: Tech Stocks Surge for 8 Months, Is the Crypto Community Starting to 'Accept Fate'?

Reddit Crypto Discussion: Has the Community 'Given Up' as Tech Stocks Soar? A recent post on Reddit's r/CryptoMarkets asking if the crypto market feels "dead" compared to surging tech stocks has sparked intense debate. The discussion highlights a community grappling with underperformance: Bitcoin is down ~44% from its October 2025 high and ~20% YTD in 2026, while the S&P 500 and Nasdaq 100 have gained significantly. The debate features classic opposing views. Some users, citing Bitcoin's history, are "cycle believers" who anticipate a return to form, arguing it has "died" many times before. Others counter that crypto's narratives keep shifting without delivering a stable, compelling real-world use case beyond speculation. A prevalent third view pinpoints AI as the core issue: the tech sector's transformative boom is absorbing all attention and capital, while crypto lacks a comparable, impactful utility. Data supports the pessimistic mood. Bitcoin spot ETFs saw their largest monthly net outflow in May 2026 (~$2.3B), indicating institutional de-risking. The Crypto Fear & Greed Index has fallen to "Fear" levels. When asked about the timing of a potential market rotation back to crypto, answers are uncertain. A key practical point raised is the current high-interest-rate environment, which makes stable yields from cash and bonds attractive, reducing incentive to move into volatile assets like crypto. The underlying anxiety, as one user summarized, is "opportunity cost"—the worry about missing gains elsewhere while waiting for a crypto revival.

marsbit2 дня назад 10:49

Reddit Crypto Discussion: Tech Stocks Surge for 8 Months, Is the Crypto Community Starting to 'Accept Fate'?

marsbit2 дня назад 10:49

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

For years, the AI industry has been guided by a singular "map" — the belief that the AI era's "new continent" would be found in the Chatbot, a super-app akin to the mobile internet's super-apps. This belief was fueled by ChatGPT's explosive 2022 debut. However, three years of heavy investment reveal a different reality: the Chatbot-as-ultimate-entry-point model is struggling. The core issue is economic. Chatbots defy traditional internet economics. Unlike apps with near-zero marginal cost, each AI query consumes significant, expensive compute. More users mean higher costs, not profits. OpenAI, despite ~900M weekly active users, reportedly loses money. The expected network effects and data flywheels that power internet giants are weak in Chatbots, as one user's interactions don't improve another's experience. Monetization is a major hurdle. The subscription model faces low conversion rates, especially in China where users expect AI to be free. The "free + ads" model also struggles. Chatbot interactions often lack commercial intent, and inserting ads compromises the trust essential for an answer engine. Perplexity's minimal ad revenue and subsequent pivot away from ads highlight this difficulty. Switching between Chatbots is easy, making user loyalty low and competition a potential race to the bottom on price. Data suggests the standalone Chatbot's growth is slowing, and user engagement (avg. ~6 mins/day) pales compared to apps like TikTok. The product form itself is limiting; studies show nearly half of interactions are simple Q&A, trapping AI's potential in a passive, single-turn "cage." A contrasting, more successful path is emerging, exemplified by Anthropic. With over 85% of its ~$30B annualized revenue from enterprises, it focuses on AI as a productivity tool, not a companion. The rise of AI Agents (like OpenClaw) and the integration of AI into existing workflows (e.g., Google's AI Overviews, Apple Intelligence in OS) signal a shift. The future may not be a dominant Chatbot app, but AI embedded seamlessly into social apps, operating systems, and hardware — a capability-layer revolution, not a new distribution container. The conclusion is clear: the old "map" centered on a standalone Chatbot super-app is leading to a dead end. To find the true valuable "continent" of the AI era, the industry must update its navigation to prioritize deep integration, practical utility, and sustainable economics over a generic conversation window.

marsbit2 дня назад 10:35

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

marsbit2 дня назад 10:35

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

TaiJi, an AI-driven market intelligence platform for Web3, has completed a $3.5 million strategic funding round. The investment was led by Castrum Capital, Becker Ventures, and Coinvestor Ventures. The funds will be allocated to product R&D, upgrading its AI inference engine, building a multi-agent analysis system, improving market data infrastructure, expanding its global community, and advancing ecosystem partnerships, particularly within the BSC ecosystem. TaiJi aims to transform how users understand the Web3 market by moving beyond simple data display. It integrates market data, on-chain signals, liquidity changes, social sentiment, and news events into a unified AI system. This system generates structured event inferences, impact pathways, risk assessments, and follow-up indicators. The platform's core approach involves a multi-agent framework where specialized agents (Market, On-chain, Sentiment, Risk, Event) collaboratively analyze disparate signals to produce coherent market intelligence. Its initial product will feature modules including Market Intelligence, a Scenario Engine for AI-powered event analysis, an Impact Map, Risk Signals, and a personalized user dashboard called "My TaiJi." TaiJi emphasizes that it does not custody user assets, execute trades, provide investment advice, or promise returns. Following this funding round, the company plans to accelerate product development and testing, gradually rolling out its core features to the broader Web3 market.

marsbit2 дня назад 09:47

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

marsbit2 дня назад 09:47

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

Summary: At Computex 2024, NVIDIA CEO Jensen Huang joined Marvell CEO Matt Murphy on stage, highlighting the strategic partnership between their companies. The core theme was that the next decisive battleground for AI infrastructure is not compute or memory, but connectivity. As AI models evolve into vast agent-based systems, the ability to connect millions of processors efficiently is becoming the critical bottleneck. Huang announced NVIDIA's strategic $20 billion investment in Marvell, reflecting the deep integration between their technologies for AI data centers. A key discussion point was the transition from copper to optical interconnects within racks. The guiding principle, articulated by Huang, is: "You use optics wherever you must, you use copper wherever you can." While copper remains cost-effective for short distances, its physical limits are being reached as bandwidth demands double. When moving to 400Gbps, copper can no longer fully connect an entire rack. This shift necessitates innovations like Co-Packaged Optics (CPO), which integrates optical engines directly into the chip package to solve density and power challenges. Marvell demonstrated its 51.2T CPO-based switch, eliminating copper traces on the PCB. The future vision is a "distance-free data center," where optical connectivity removes physical constraints. This allows for fully disaggregated, dynamic architectures where compute, memory, and storage pools can be combined on-demand based on workload requirements, rather than being limited by connection boundaries. Marvell, positioned as a neutral "Switzerland" in the ecosystem with a comprehensive portfolio across all connectivity distances, is central to enabling this next era of AI infrastructure.

marsbit2 дня назад 09:41

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

marsbit2 дня назад 09:41

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