ai-driven

According to the latest industry reports and corporate disclosure documents, the technology industry is experiencing a large-scale wave of layoffs driven by artificial intelligence (AI) in 2026. Despite several companies achieving record high revenues, major tech giants are intensively restructuring their organizational frameworks to reallocate funds towards AI infrastructure development and to enhance operational efficiency through AI. Data shows that in May of this year, the number of layoffs in the tech industry reached the highest monthly record in years, with AI being the core reason for the layoffs.On the execution level, several leading companies have implemented large-scale personnel reductions. Oracle's latest documents reveal that in the past 12 months, 21,000 employees (approximately 13% of the total workforce) have been laid off due to internal AI technology deployment. Amazon cut 16,000 corporate positions in January this year, with management expecting that the widespread application of generative AI will significantly reduce the demand for traditional roles. While Meta laid off about 8,000 employees, nearly 7,000 were reorganized into core AI business positions. Block significantly reduced its workforce by 4,000, nearly halving its total number of employees to adapt to the flattened operational model brought about by AI tools.Additionally, companies including Cisco (4,000 people), Intuit (3,000 people), Atlassian (1,600 people), Cloudflare (1,100 people), Snap (1,000 people), as well as Coinbase, Salesforce, and others have announced substantial layoff plans related to AI transformation this year. At the same time, although Google, Microsoft, and IBM have not disclosed specific total layoff numbers, they are also continuously advancing rolling job replacements and restructuring linked to AI strategies.

The latest report from Gate Research Institute titled "Gate Research Institute: The Market Capitalization of the Three Storage Giants Exceeds One Trillion Dollars, Gate Supports Their Real Stock Trading" points out that as the demand for AI large model training and inference continues to grow, the global storage industry is entering a new round of value reassessment.The report shows that the market capitalizations of the three storage giants, Samsung Electronics, SK Hynix, and Micron Technology, have all surpassed one trillion dollars, reflecting a repricing of the strategic value of AI storage infrastructure. Among them, Micron Technology has recently officially joined the one trillion dollar market capitalization club, becoming one of the most watched reassessment targets in the AI storage industry chain.The report mentions that the current rise in the storage sector is not a rebound from the traditional DRAM cycle, but is driven by structural demand growth brought about by the expansion of AI data centers. The importance of high-end storage products such as High Bandwidth Memory (HBM), DDR5, and enterprise-level SSDs continues to increase, pushing storage from being a supporting component in the computing power system to becoming a key resource that affects model training efficiency, inference performance, and deployment costs.In addition, Gate has officially launched stock trading services, allowing users to trade mainstream securities market stocks and ETF assets using USDT, and has introduced perpetual contracts for stocks and leveraged ETF products, providing investors with more diversified trading and allocation tools to participate in AI storage and semiconductor theme investments.

2U2.ai announced that it has secured a new round of strategic investment, with the specific amount not yet disclosed. The investors in this round include Castrum Istanbul and M2M Capital, which will support 2U2.ai in continuing to advance Meme infrastructure construction and ecological expansion.So far, 2U2.ai has received support from institutions such as Becker Ventures, CGV FOF, Gemhead Capital, K24 Ventures, Castrum Istanbul, and M2M Capital.2U2.ai is building a MemeLayer for Web3, driven by AI for Meme generation, dissemination, and remixing, to create a scalable and incentivized Meme content network. Currently, the platform has launched the Meme Arms Race points system, allowing users to earn points by creating, sharing, and disseminating Meme content, and participate in subsequent ecological incentives on the platform.

Aave Labs announced the launch of the AI-driven governance security system Aave Checkpoint, which adds a structured multi-layer review process for each proposal and load before execution.It is reported that the workflow of Checkpoint is divided into two phases: the automatic AI analysis phase, where the system automatically retrieves on-chain data, proposal source code, and IPFS text when a new proposal is submitted, cross-references the parameters with governance specifications, uses Seatbelt to simulate output and check the proposal execution path, runs over 60 specialized security analysis agents for vulnerability detection, DeFi-specific risk analysis, agent upgrade security checks, etc., and generates a structured audit report with pass/fail conclusions; and the mandatory manual review phase, where each AI-generated report must be independently signed off by at least two people before it can be considered reviewed. Checkpoint covers Aave V3, V4, GHO, and Aptos-v3 protocols, including 5 custom Aave governance skills and 52 external security skills.

The first prediction market liquidity infrastructure on the BSC chain that combines elements of fortune cookies has officially launched on the Fortune website. As a new generation Web3 financial protocol, Fortune is committed to solving the long-standing issues of liquidity fragmentation, low pricing efficiency, and high participation thresholds in prediction markets through an AI-driven liquidity engine.The core features launched alongside the website include:Voting Council: A community-driven event listing mechanism that ensures market diversity and fairnessDaily Check-in: Low-threshold participation to continuously accumulate F points and secure early ecosystem incentivesFortune Node NFT: A core equity asset that allows holders to enjoy point bonuses and protocol dividendsFortune also revealed that its core prediction market trading function will officially launch on April 20, bringing users a brand new prediction and trading experience.

According to CoinDesk, analysts at brokerage firm Bernstein maintain an "outperform" rating on USDC issuer Circle's stock, with a target price of $190, representing about a 60% upside from the current level of $120.The report notes that the adoption of stablecoins is increasingly decoupling from the cryptocurrency market cycle. Despite the market being in a bear phase, the supply of USDC has rebounded to nearly a record $78 billion, and the total market capitalization of dollar-pegged stablecoins remains stable at around $270 billion. Adjusted stablecoin trading volume has increased by over 90% year-on-year, with trading turnover rising, indicating that stablecoins are being used more frequently in scenarios outside of cryptocurrency trading.Payment adoption is the main driver, as stablecoins are gradually being integrated into traditional card networks. Visa currently supports over 130 stablecoin-linked cards across more than 50 countries, with an annual settlement volume of approximately $4.6 billion. AI-driven "proxy finance" could become a new growth theme, as machine-to-machine micropayments between autonomous software agents will require stablecoins as a natural payment rail.

MCN Group officially announced today that it has completed the full acquisition of the NADI public chain (NADI Chain) and will undergo a comprehensive strategic restructuring.Based on a shared belief in the future development trends of blockchain technology, both parties have decided to integrate their advantageous underlying technologies and the resources of hundreds of millions of global users, fully incorporating the NADI public chain into the MCN ecosystem to jointly create a brand new public chain, MCN Chain, dedicated to building a comprehensive and multi-dimensional AI + blockchain ecosystem.According to the acquisition and restructuring plan, the new public chain will uniformly use MCN as the official sole native token. It will deeply empower the new public chain in terms of technological research and development, ecological incentives, and market expansion. MCN Group will use this as a starting point to build a more vibrant and competitive global AI Agent blockchain network.

Strive's Vice President of Bitcoin, Joe Burnett, stated that AI-driven deflation could force central banks to adopt more accommodative policies, potentially driving Bitcoin to $11 million per coin by 2036, with a market capitalization of $230 trillion.This prediction is based on Bitcoin growing to approximately 12% of the global financial asset value, and global wealth growing at a compound annual growth rate of 7% by 2036. Given that Bitcoin currently accounts for about 0.2% of all financial assets, this implies that Bitcoin's market capitalization will increase more than 176 times over the next decade, reaching $230 trillion.

The world's second-largest cryptocurrency exchange by trading volume, Bybit, today officially announced the comprehensive results of its 2025 Security Initiative. Bybit has built an industry-leading multi-layer defense architecture, successfully protecting the safety of tens of thousands of users and setting a new benchmark for proactive risk control in the digital asset space. According to a report by Chainalysis, global cryptocurrency losses due to scams and fraud reached as high as $17 billion in 2025.Redefining Industry Standards: Three-Tier Withdrawal Fraud Defense FrameworkTo break through the limitations of traditional post-event remediation in risk control, Bybit has pioneered a dynamic risk grading protection system that intervenes proactively before financial losses occur. This system categorizes potential fraud scenarios into three risk levels, each matched with differentiated response strategies—ensuring user withdrawal safety while maintaining a smooth trading experience on the platform.Level 1: Early Warning (Low Risk)Leveraging big data heuristic algorithms to identify abnormal behavior patterns (e.g., large withdrawals concentrated to a single new address), Bybit automatically triggers a risk questionnaire survey. Relevant insights assist the risk control operations team in blacklisting high-risk addresses in advance, achieving source interception.Level 2: Real-Time Warning (Medium Risk)When an account is flagged due to database breaches (cross-referencing external network leak data) or associated with suspicious withdrawal addresses, Bybit will trigger a real-time pop-up reminder during the withdrawal process. This mechanism guides users to pause operations and review transaction details, effectively resisting social engineering attacks that rely on urgency or emotional pressure.Level 3: Instant Interception + Cooling-Off Period (High Risk)For wallet addresses confirmed to be involved in fraud (including so-called "pig-butchering" investment scams), Bybit implements real-time withdrawal interception and enforces a 1-hour cooling-off period mechanism. This critical time window provides users with essential assurance to regain rational judgment and verify the authenticity of transactions.Overview of 2025 Achievements and Core DataThe measures implemented in the fourth quarter of 2025 have brought breakthrough results in user safety protection:Q4 Fraudulent Fund Interception and Recovery: Bybit successfully intercepted and recovered $300 million through proactive reminders, safeguarding the life savings of over 4,000 users;Q4 AI-Driven Risk Identification: Bybit's self-developed AI algorithm accurately identified 350 high-risk investment scam addresses through on-chain data analysis, helping 8,000 users avoid potential withdrawal losses;2025 Annual Infrastructure Resilience: The platform successfully withstood over 3 million hacker database breach (account hijacking) attacks;Q4 On-Chain Proactive Monitoring: The system automatically flagged 350 risk addresses, and the ticket operations team manually reviewed and marked 600 addresses, cumulatively avoiding nearly $1 million in immediate fraud losses.Co-Building a Safe Ecosystem: Industry Collaboration and Government-Enterprise LinkageBybit firmly believes that safety should not be a competitive barrier but a shared responsibility across the industry. The strategic focus for 2025 is on deep integration of external intelligence:"In 2025, our mission is to upgrade the risk control system from a 'silent shield' to a proactive, intelligent safety guardian," said David Zong, Head of Risk Control at Bybit Group. "By deeply integrating AI-driven on-chain monitoring with real-time intelligence from industry partners like TRM, Elliptic, and Chainalysis, we not only protect Bybit users but also help map the 'genetic blueprint' of fraud networks. We are opening and sharing these standardized monitoring clues across the entire ecosystem—because the safety of the industry begins with the safety of each participant."

TRM Labs released a report indicating that artificial intelligence is profoundly changing the landscape of digital financial transactions, with illicit cryptocurrency flows reaching $158 billion by 2025, and AI-driven fraud activities growing at an annual rate of approximately 500%.The report highlights that autonomous AI agents have significantly compressed the time required for money laundering and cross-chain asset transfers. By automating the splitting of funds, selecting optimal bridging paths, and executing exchanges on decentralized platforms, these agents can obscure the trail of funds in just seconds.Overall, the 150 hacking incidents that occurred in 2025 resulted in losses of $2.87 billion, with the speed of fund dispersal playing a crucial role in the outcome of a $1.46 billion theft from a major exchange.

According to GlobeNewswire, the AI-driven financial and cryptocurrency market research platform Finrob announced the completion of a $3.9 million seed round financing, with participation from Maven 11, Placeholder VC, Node Capital, Archetype, Dispersion Capital, and Fabric Ventures.The company provides real-time on-chain analysis, market intelligence, and in-depth research through a single conversational interface by connecting platforms like Glassnode, CoinGecko, and DefiLlama. The new funding will be used to accelerate product development, expand data integration, and enhance the platform's research capabilities.

According to PR Newswire, Sonic Labs announced the launch of Spawn, an AI-driven Web3 application building platform that supports the generation, compilation, and deployment of smart contracts through natural language, while automatically generating front-end interfaces and wallet integration features.Spawn can directly convert user-input English descriptions into production-grade smart contracts, complete on-chain deployment, and generate a full front-end interface, achieving a full-stack abstraction from contract logic to UI and on-chain interactions. Users can engage in conversational iterative development through the built-in AI assistant, modifying contract logic, front-end components, and deployment configurations, and deploy applications to the Sonic testnet.

According to Gate's market data, the AI-driven Web3 social payment platform MetYa's token $MY has surged strongly in the past 24 hours, with an increase of 103%, currently priced at approximately $0.14.

Bitget announces the launch of the industry's first AI-driven "2025 Annual Report." This report relies on the platform's native AI assistant GetAgent, conducting a systematic and in-depth analysis of annual trading activities from an AI perspective based on users' real trading data and behavioral trajectories. It comprehensively covers core dimensions such as spot trading, contracts, US stock-related products, and on-chain activities, providing users with a more complete and valuable annual trading insight.This annual report also introduces a more interactive and shareable presentation method. GetAgent will match users' trading behavior characteristics with the profiles of iconic La Liga players, generating corresponding personalized tags and digital badges, offering a more socially expressive form for the annual review.As the core of Bitget's AI strategy, GetAgent has served over 350,000 users since its testing began in July 2025, driving 1.22 million deep conversations. As the industry enters an AI-driven personalized era, this annual review is not just a summary of past trading journeys but also intuitively presents how the user experience in the crypto space is being endowed with new possibilities when intelligent technology, cultural elements, and trading scenarios deeply intertwine.

AI-driven cryptocurrency browser DeepBook AI announces a $2 million investment, with participation from Castrum Capital, BD Ventures, Alpha Capital, and BlockPulse.DeepBook AI is a cryptocurrency browser that combines AI-driven discovery features with native DeFi and on-chain browsing, enabling users to better explore dApps, protocols, and crypto content.

Manta's incubated Web3 metaphysics AI application superfortune officially launches its Web2 APP application, expanding its strategic focus to the global mainstream consumer market, increasing real income, with a target market size of $392 billion. Previously, by collaborating with Trust Wallet and Four.meme to launch the "Clear Coin, Clear Qi" feature, users were allowed to convert Burn-to-Earn tokens with certain value on the BNB Chain into superfortune's native token GUA, as well as generating cash flow from the sale of fortune symbols.According to DappBay data, superfortune is currently the number one AI application on the BNB Chain, with over 20,000 daily active users. The Web2 application is now live on Google Play, and the iOS version is set to be released soon.