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BlackRock Investment Institute has highlighted the growing impact of company-level AI capital expenditures on the macroeconomic landscape. According to BeInCrypto, the asset manager's strategists, Jean Boivin and Wei Li, noted that AI spending by major tech firms is projected to reach $725 billion this year, marking a 10% increase from earlier estimates. This spending is now comparable to traditional macroeconomic drivers such as central bank policies. BlackRock estimates AI infrastructure investment could total $5 trillion to $8 trillion this decade, potentially lifting US growth above 2%.

OpenAI has informed its employees about an upcoming restructuring plan aimed at integrating its entire range of business products. According to Jin10, this move is part of OpenAI's strategy to streamline operations and enhance efficiency across its various offerings. The restructuring is expected to align the company's resources more effectively with its strategic goals.

OpenAI has announced a new personal finance preview for ChatGPT Pro users in the United States. According to Odaily, this feature allows users to securely connect their bank and investment accounts to view a financial dashboard within ChatGPT and consult AI for financial advice based on their personal financial situation, while maintaining full control over their data.
The new functionality is facilitated through Plaid for account linking, with Intuit support expected soon. It enables synchronization of balances, transactions, investments, and liabilities, helping users identify spending patterns, analyze savings opportunities, plan goals, and optimize major financial decisions. Users can also input financial background information, such as mortgages, savings goals, or large expenditure plans, to receive more personalized advice from ChatGPT.
The experience emphasizes automation and actionability, allowing users to set budget limits, automate savings transfers, and track weekly savings progress for a sustainable financial plan. The system offers savings strategies for dining, shopping, transportation, daily purchases, and subscription services, helping users increase savings without compromising their quality of life.
OpenAI notes that this feature is not a substitute for professional financial advice but combines complex personal financial issues with the reasoning capabilities of GPT-5.5 to provide more accurate solutions. The feature will gradually become available to Plus and all users, with plans to expand the ecosystem through partnerships with Intuit and others, aiming for a comprehensive financial planning and execution experience.
In terms of privacy and security, users can disconnect accounts or delete financial memories at any time. All account data is used solely to provide personalized financial services and will not alter user funds, adhering to strict data control and privacy protection standards.

Anthropic, an artificial intelligence laboratory, is reportedly seeking to raise $30 billion in new funding, according to the Wall Street Journal. The company is attracting a significant portion of venture capital investments in the AI sector. This move highlights the growing interest and investment in artificial intelligence technologies.

Hedge funds have capitalized on investments in chip makers and AI hardware companies, marking their most successful month in over 20 years. Wall Street Journal (Markets) posted on X, highlighting the foresight of these funds in identifying opportunities within the AI sector. The strategic bets on AI-related stocks have paid off significantly, reflecting the growing importance and influence of artificial intelligence in the financial markets. This trend underscores the potential for continued growth and innovation in AI technologies, as investors increasingly recognize the value of AI hardware in driving future advancements.

Elon Musk's promise to open-source X's recommendation algorithm and refresh it monthly remains unfulfilled, as the official xai-org repository shows only one commit since its launch on January 17. According to BeInCrypto, crypto users have criticized the release as mere theater rather than genuine transparency. Despite Musk's assurance of monthly updates with detailed developer notes, none have materialized, echoing similar complaints from the old twitter/the-algorithm repo. Critics, including Ethereum co-founder Vitalik Buterin, have questioned whether X can meet transparency standards.

Elon Musk announced on the X platform that the recently completed Grok V9 model, with 1.5 trillion parameters, has shown excellent performance. According to Odaily, the results have not yet included the supplementary training data from Cursor. The current internal development of the foundational model version is V9, which features approximately 1.5 trillion parameters. This version has seen significant improvements over V8 in data cleaning, training methods, and model scale, and has been optimized for the Blackwell architecture to enhance computational efficiency.
Musk highlighted that the external version, V4.2, is built on the V8 foundational model, with a parameter scale of about 0.5 trillion, operating on the Hopper architecture. It still faces limitations in training data quality and coverage. The performance gap between Grok V8 and V9 is substantial, with the new generation model achieving a significant upgrade in overall capabilities.

UBS has raised its price target for Nvidia to $275 from $245, according to a note sent to clients on May 14. The investment bank maintained its strong buy rating for the company. Nvidia's stock experienced a rise of nearly 4.5% on Thursday and was trading around $235 on Friday.

David Tepper has identified Micron as his leading choice among AI stocks. According to NS3.AI, the stock has surged nearly 150% year-to-date. Additionally, Appaloosa Management, Tepper's hedge fund, has significantly increased its investment in Micron, making it one of the fund's largest holdings.

X has updated its open-source 'For You' information flow algorithm code on GitHub as of May 15, according to Foresight News. The update includes a fully operational end-to-end inference pipeline. The system utilizes the Thunder component to fetch content from accounts users follow, while the Phoenix component employs machine learning to retrieve relevant content from a comprehensive corpus. Interaction behaviors such as likes, replies, retweets, and clicks are scored and ranked using a Transformer model modified from Grok-1.
The update introduces several new features, including an ad injection module, a content understanding classifier for spam detection and policy enforcement, and multiple hydrator data expansion components. X has stated that all manually designed features have been removed, relying entirely on the Transformer model for relevance assessment.

The U.S. stock market opened with losses, as the Dow Jones Industrial Average fell by 0.66%, the S&P 500 Index dropped 0.85%, and the Nasdaq Composite Index decreased by 1.3%. According to Jin10, AI chip stocks experienced widespread declines. Intel (INTC.O) saw a drop of over 5%, Baidu (BIDU.O) fell nearly 4%, AMD (AMD.O) decreased by 3.5%, and Nvidia (NVDA.O) declined by more than 2%.

Datavault AI has released its business update for the first quarter of 2026. According to Odaily, the company has signed tokenization contracts exceeding $800 million, with approximately $100 million in fees expected to be recognized in 2026. The company achieved a new contract scale of about $75 million in the first quarter, highlighting institutional demand for real-world asset (RWA) tokenization platforms.
In terms of assets and financing, Datavault AI has strengthened its balance sheet through a $60 million private placement and an additional $120 million in non-dilutive financing. The company is advancing the expansion of its SanQtum AI infrastructure platform across the United States and plans to extend its quantum-secure GPU edge network by the end of 2026, deploying around 48,000 GPUs.

Cerebras Systems has regained market attention as Benchmark and OpenAI are seen as potential beneficiaries of a future listing. According to NS3.AI, Cerebras had previously withdrawn its IPO prospectus in 2025, which temporarily halted its plans to go public.

Nof1 has announced the completion of a $15 million funding round, led by SUI Group and Karatage. According to Odaily, the two companies have also jointly invested in Recursive Superintelligence, an AI company with a reported valuation exceeding $4 billion. Nof1 plans to launch a consumer-focused AI market coding agent platform after the second season, aiming to expand AI applications in the financial trading sector.

U.S. President Donald Trump revealed that he engaged in discussions about establishing guardrails on artificial intelligence with Chinese leader Xi Jinping. Bloomberg posted on X that the conversation took place during a two-day summit in Beijing. The talks also included discussions about Nvidia's H200 chips, highlighting the importance of AI technology in international relations.

Nof1's Alpha Arena is drawing increased attention as SUI Group and Karatage appear to have been early participants in a significant financial experiment: teaching artificial intelligence to trade in real markets. According to CoinDesk, this initiative is considered one of the most important developments in finance, highlighting the potential for AI to revolutionize trading strategies and market dynamics.

In April 2026, significant DeFi attacks on Drift Protocol and Kelp DAO resulted in nearly $600 million in losses and triggered approximately $9 billion in fund outflows from protocols like Aave. According to Odaily, TRM Labs investigator Nick Carlsen indicated that hackers linked to North Korea may have used AI to assist in target selection and attack path design. Failsafe CEO Aneirin Flynn noted that AI has reduced the time needed to identify blockchain vulnerabilities from months to days or even hours. Reports suggest that Anthropic has not fully released its AI model Mythos due to cybersecurity risks, although the model is said to have the capability to identify large-scale zero-day vulnerabilities. Research indicates that by 2025, over half of blockchain attacks could theoretically be autonomously executed by AI.

Decentralized privacy AI platform FLock.io has introduced FOMO Reward Season 1, with rewards now available for collection. According to Foresight News, the new mechanism connects AI inference usage, model token staking, and FLOCK incentive distribution, creating an on-chain incentive loop driven by real usage.
During FOMO Reward Season 1, users can participate in model token reward distribution by incurring real usage costs through the FLock API platform. The more a user utilizes a specific model, the higher their weight in that model's reward pool. Additionally, users can stake the model tokens they use to increase their reward weight, further earning FLOCK release rewards and model token incentives.
This mechanism integrates AI inference usage into the on-chain incentive system. Users generate real usage costs by calling APIs, creating demand for corresponding model tokens. Staking the used model tokens can enhance reward weight, while holding gmFLOCK provides a global boost across models, amplifying incentive capture in the model economy.
FLock.io states that this mechanism shifts FLOCK incentives from simple airdrop distribution to usage-based rewards supported by real AI demand. As OpenClaw, Hermes Agent, and other third-party model tokens bring real AI workloads, competition for FLOCK reward cycles will intensify. For early participants, the current phase offers a window to establish positions in API usage, model token staking, and gmFLOCK boosts, with early participation weights expected to grow in subsequent reward cycles.

According to Jin10, a research report by Taihaitong Securities on May 15 states that the current AI-driven price surge across the entire industry chain is reshaping the value distribution in the semiconductor sector. The report suggests that upstream segments with core barriers will benefit the most, recommending attention to major memory companies and advanced process foundries. Additionally, it highlights the importance of focusing on core material segments with expanding supply-demand gaps and equipment manufacturers accelerating domestic substitution. Lastly, it advises prioritizing leading cloud providers with premium computing power capabilities.
The inflation in the AI industry chain has spread from upstream core hardware to the entire midstream and downstream industry chain, forming a systemic cost transmission. The evolution of AI Agents from 'chatting' to 'acting' is expected to initiate the next round of industry chain inflation cycle. The implementation of Agents is projected to exponentially increase Token consumption (growing over 300 times from 2024 to 2025), with the backend computation triggered by a single user command being several times higher than ordinary chatting. This task-oriented continuous invocation will significantly increase inference load, leading to an exponential growth in demand for AI accelerators for HBM.
However, the expansion of HBM capacity is constrained by the 'one-to-three' wafer consumption and low yield bottlenecks, with supply release expected only by 2027-2028. The supply-demand contradiction is anticipated to intensify, likely triggering a new round of resource competition and price increases across the entire industry chain.

A Bitcoin miner that has transitioned into an AI infrastructure operator has secured one of the largest financings in the sector, according to CoinDesk. The significant investment comes as investor demand continues to drive multiple upsizes in the industry. This development highlights the growing interest and financial backing for AI infrastructure, reflecting a shift in focus from traditional cryptocurrency mining to more diversified technological ventures.