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first_img The Economist estimates that AI has created approximately 1 million jobs in the United States

The Economist estimates that AI has created about 1 million new jobs in the United States so far, far exceeding the approximately 200,000 jobs cut due to AI since mid-2023. This conclusion is based on the employment data for August released by the U.S. Bureau of Labor Statistics on September 4: the U.S. economy added 162,000 jobs, and the unemployment rate remained at 4.1%. The unemployment rate for young people aged 20-24 is now close to its lowest level in decades compared to the overall unemployment rate.Job growth mainly comes from high-skilled positions directly serving AI and blue-collar jobs driven by data center construction. Since 2022, about 730,000 jobs exceeding the trend line have been added for engineers, software developers, mathematicians, and data scientists. The chief economist at Burning Glass Institute estimates that currently about 1% of professional jobs in the U.S. can be classified as AI jobs, with that proportion reaching 4% to 5% in the fields of computer and life sciences. Spending on data center construction has increased by 60% within a year, leading to a rise in demand for electricians, HVAC technicians, and others. Data from Indeed shows that salaries for data center installation and maintenance jobs are about 40% higher than similar positions.Customer service positions have shrunk by about 10% since January 2023, and administrative assistants have decreased by about 15%. Microsoft and Meta have reduced staff while restructuring their businesses around AI, and companies like Block and Intuit have replaced some manual labor with automation tools. On average, U.S. companies announce about 16,000 layoffs related to AI each month. Economist Noah Smith points out that it is currently difficult to find occupations eliminated by AI in labor data.

NeoSoul launches the native Skill Builder for the Agent trading platform, allowing you to create trading strategies in one sentence

BSC and 0G ecosystem AI economic infrastructure project NeoSoul announced that its general intelligent trading workstation NeoTrade has launched the trading Skill Builder. Users only need to describe their trading ideas or trading styles in a conversation, and the system can generate the corresponding trading Skill, automatically completing the configuration and verification of strategy parameters such as time period, market focus, position, and order method.In the past, traders needed to turn their trading ideas into strategies that Agents could execute sustainably, which often required writing trading logic and setting parameters item by item. The Skill Builder centralizes the process into a conversation window, allowing users to describe their core trading ideas in natural language, and then gradually refine the strategy through continuous dialogue. During the conversation, NeoTrade will configure specific conditions based on user requirements and write each modification in real-time into the Skill. Once the strategy is complete, the system will automatically perform parameter verification, and the generated Skill can be saved and reused.Kaelan, co-founder of NeoSoul, stated that turning trading judgments into rules that Agents can execute has always been one of the most time-consuming steps in creating trading Agents. The Skill Builder incorporates this step into a single conversation, where users first clarify how they want to trade, and the system is responsible for completing the structuring, parameter configuration, and verification.

Jason Fung, Head of Global Partnerships: The prediction market should not only be a "trading market," but should also become an open ecosystem for users to create markets

On August 21, the GATE ZONE fireside chat event took place in the Summer Bay area of Coinfest Asia, where Gate Head of Global Partnerships Jason Fung shared insights on the theme "Predicting the Biggest Market Opportunities." He discussed the competitive landscape of prediction markets, user-created markets, the Builder ecosystem, and future market opportunities. Jason Fung stated that as on-chain prediction markets continue to develop, industry competition will no longer focus solely on liquidity and trading volume. Instead, lowering the barriers to market creation, diversifying market types, and enabling more users to participate in market building will become important directions for the future development of prediction markets.Regarding the recent launch of the event contract Builder by Gate DexBuilder, Jason Fung mentioned that enabling users to create markets independently is an important step towards the openness of prediction markets. By lowering the barriers to creating and launching event markets, users can quickly build markets around popular events and explore more niche themes and potential demands, thereby driving the evolution of prediction markets from a product form dominated by a few platforms to a more open market ecosystem.Jason Fung believes that there are still many opportunities in prediction markets that have not been fully explored, and their application scope is expected to continue extending from popular fields such as politics, sports, crypto, AI, and entertainment. As more developers and entrepreneurs enter this space, the Builder ecosystem, market diversity, and user experience will become important driving forces for industry development, and on-chain event markets are expected to further expand from early user groups to a broader user market.

first_img ARK Invest Research Director: Suggests Hyperliquid acquire Gemini to create a compliant HIP-3/4 platform in the U.S

ARK Invest Research Director lorenzoark suggested that Hyperliquid acquire the U.S. compliant trading platform Gemini, transforming it into a U.S. regulated HIP-3 and HIP-4 deployment platform. Hyperliquid is in contact with the CFTC and SEC to support U.S. regulated companies in offering perpetual contract trading and settlement on its public chain. Gemini went public in September 2025 with a valuation of $3.3 billion, and its current market value is approximately $450 million, down over 85% from its IPO. Its core business is under pressure, having scaled back operations in the UK, EU, and Australia, with staff reduced by about 40% from a peak of 402 to 402, and platform assets decreasing from $18.2 billion to $8.4 billion, with spot trading volume down 66%.Approximately $450 million would secure Gemini's complete U.S. regulatory license portfolio, including the NYDFS trust license, CFTC-regulated DCM (Gemini Titan), DCO (Gemini Olympus), an ongoing FCM, nearly all state MTLs, and broker-dealer licenses. In comparison, Kraken's parent company acquired Bitnomial for up to $550 million, making Gemini's overall market value lower. After the acquisition, it could inherit operational assets such as approximately 580,000 monthly active trading users, 1.72 million lifetime users, $8.4 billion in platform assets, quarterly spot volume of $3.8 billion, and approximately $180 million in annualized revenue.
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