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KPMG's research shows that nearly 30% of corporate executives find it difficult to understand the cost of AI on a pay-per-use basis, and nearly half have delayed deployment

According to KPMG's latest survey report involving 2,145 executives from 20 countries, as technology companies like Anthropic, OpenAI, and GitHub recently shifted some of their AI services from fixed subscription models to usage-based billing, businesses are facing challenges in cost forecasting and management during the scaling of AI deployment.The report indicates that 29% of corporate executives find it difficult to understand and control operational costs when scaling AI deployment, and one-third of executives believe that insufficient understanding of AI economics hinders the deployment of AI entities. Due to costs exceeding expected value, nearly half (about 49%) of corporate organizations have chosen to delay or readjust their AI deployment plans; meanwhile, low-cost, high-fidelity large models are accelerating their impact on corporate AI strategies.In addition, tech giants are increasing capital expenditures to build AI capacity. Amazon plans to spend about $200 billion on capital expenditures this year and is investing $1 billion in its AWS frontline engineering organization to assist customers in adopting AI entities; Microsoft's total capital expenditure is expected to reach $190 billion this year, with $2.5 billion allocated to the new entity Microsoft Frontier Company. KPMG emphasizes that, in addition to cost pressures, accountability in AI governance, employee engagement rules, and the prevention of system "hallucinations" remain core challenges faced by businesses today.

PiggyBank discloses details of the LAB basis trading manipulation incident and will compensate affected users

PiggyBank released a detailed report on the LAB incident on June 6, stating that the protocol experienced a net withdrawal of approximately $579,000 on June 6, primarily due to a LAB token basis trade being manipulated by the market.In early May, PiggyBank purchased 142,800 locked LAB tokens (approximately $102,500) through an OTC intermediary while simultaneously opening a perpetual contract short hedge. However, market participants continuously maintained the spot price above the perpetual contract price, resulting in a deeply negative funding rate (annualized -17,000%), and the high hedging costs forced the shorts to close, resulting in a loss of approximately $476,000. The currently locked LAB tokens have a spot value of about $1 million, but due to poor liquidity and lack of hedging, they have been excluded from the NAV calculation.PiggyBank will undergo structural reforms: increasing transparency of on-chain mechanisms, strategy logic, and fund allocation will be publicly verifiable, while basis trading and funding rate arbitrage will be gradually phased out. In terms of compensation, affected users will receive USDC compensation based on actual losses, with funding sources including NAV discrepancies, future LAB sales (expected to unlock from August 14 to October 14, currently valued at approximately $1 million), and 50% of future platform revenue. All users recorded in the snapshot on June 6 are eligible for compensation.
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