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Harmony plans to shut down the mainnet and migrate ONE to Ethereum, shifting towards AI video remixing business

Harmony has released two proposals to comprehensively shut down the mainnet launched in 2019, migrate the native token ONE to Ethereum, and shift towards an AI video "mashup economy" business. The team stated that the threats posed by national-level attackers and AI entities are the reasons for proposing the network shutdown plan.The migration plan proposes to take a snapshot of user wallets, staking delegations, validator rewards, smart contracts, and tokens within centralized exchanges at the last block of the network, airdropping new ONE to the same wallet addresses on Ethereum, with holders not needing to actively claim; delegated stakes and unclaimed rewards will be airdropped to their respective governance vaults. The total supply of ONE and the issuance rate will remain unchanged, with newly issued tokens intended for the new business and feedback from governors being considered.Multi-signature wallets, liquidity pools, and on-chain applications cannot be migrated. The team urges users to exit all smart contracts by September 10, 2026, and plans to publicly disclose token contracts, snapshot calculations, and airdrop scripts for auditing. Validators can stop running nodes starting from September 10 at 22:00 Beijing time. The team plans to compensate for the difference in issuance rewards between node shutdown and the final block of the network, establishing a one-time compensation pool of $1.372 million, to be paid in four quarters to validators and their delegators who timely shut down, sign agreements, retain stakes, and serve as governors of the new project.The new business will open up prompts and materials for users to create secondary content, with AI entities expanding video stories, and will recruit operators responsible for video generation, distribution, and content review. Harmony plans to subsidize GPU hardware in the first year and promote demand for video generation, with operators required to stake tokens to earn rewards based on service online time. The team plans to help operators generate up to $1 million in total revenue in the first year, provided they meet staking and online rate requirements; promoters can initially earn a 30% ongoing commission from each $10 monthly subscription they recommend. Both proposals are non-binding and the plans may still be adjusted.

hot_img In the first half of the year, cryptocurrency TradFi transactions exceeded $1.3 trillion, with the exchange landscape shifting from a unipolar concentration to a multipolar distribution

According to a research report published by RootData Research, the total trading volume of mainstream cryptocurrency exchanges in the TradFi sector surpassed $1.3 trillion in the first half of 2026, nearly a tenfold increase compared to the entire year of 2025, with TradFi derivatives accounting for over 98%, becoming the core engine driving the explosive growth of the sector.The exchange landscape is shifting from "unipolar concentration" to multipolar competition. Binance, while maintaining a leading position in the TradFi sector with a cumulative share of 68.3%, saw its monthly trading volume share decline from 78.8% at the beginning of the year to 58.2% in August. Meanwhile, second-tier exchanges such as OKX, Gate, and Hyperliquid are rapidly expanding, with market shares of 18.2%, 10.7%, and 9.9% respectively in August.In the core submarket of stock derivatives, entering August, Binance still dominated with an average daily trading volume of $14.927 billion; OKX established an advantage in trading costs with the industry's lowest spread of 0.0091%, achieving a comprehensive score tied for second with Gate. Gate has recently shown independent growth, recording four consecutive months of triple-digit month-on-month growth from May to August, and in mid-August, its ±2% weighted depth ranked first in the industry for 11 consecutive trading days. The competitive logic of the TradFi sector may be shifting from a battle for traffic to a competition across comprehensive dimensions such as position size, market depth, trading costs, and variety coverage.

Tom Lee: Nvidia's valuation is still relatively low, and the weakness in some AI stocks may be due to funds shifting towards Nvidia

BitMine Chairman Tom Lee stated on CNBC that after Nvidia announced strong performance, its stock price rose, breaking the previous trend where positive earnings reports struggled to drive stock prices, indicating that investors still value the company's fundamentals. Software stocks like Salesforce, CrowdStrike, and Okta also strengthened, reflecting a positive market response to downstream AI transactions, with an overall healthy market reaction.Regarding the weak performance of AI-related stocks such as Meta, Amazon, Alphabet, AMD, and Micron, Tom Lee believes that some investors may have previously underweighted Nvidia and might need to sell other tech stocks to raise funds for increasing their Nvidia holdings. He pointed out that Nvidia's earnings expectations have been significantly raised, but the stock price has not fully caught up, and the price-to-earnings ratio is still contracting, with the current valuation remaining relatively low.Tom Lee also mentioned that data center construction is gradually becoming a political issue in the U.S. midterm elections. Even some Republican-led states and states supporting data center development are beginning to consider pausing related projects, which may be one reason for the recent poor performance of AI infrastructure-related stocks, with more funds shifting towards downstream AI targets.

DWF Ventures: The rapid rise of social trading, platform competition is shifting from trade execution to social networks and information advantages

DWF Ventures released a report stating that as trading fees continue to approach zero, social trading is becoming a new direction for financial trading platforms to compete for users and build moats.The rise of social trading stems from users seeking validation from others and references for investment decisions. From early brokerage copy trading to investment communities like Reddit and Stocktwits, and now to platforms that combine real position verification, trading signals, and social relationships, social trading is evolving from a simple copy trading tool into a product form that integrates trading, content, and social interaction. As trade execution becomes increasingly homogenized, the future competitive advantage of platforms may come more from network effects, resources of well-known traders, and exclusive information and distribution capabilities.Analysis suggests that social trading platforms are forming a clear growth flywheel: platforms attract well-known traders and their fans, traders build reputations through public trading, fans amplify market influence by following trades, which in turn increases the visibility of traders and the user base of the platform. Public calls for trades may even generate a certain "self-fulfilling" effect in this process.Platforms also lower the entry barriers for users through one-click trading, low-threshold acceptance, trading competitions, and fee incentives, and leverage the social influence of top traders to facilitate user migration. In the future, the social trading ecosystem in the cryptocurrency and traditional stock sectors may further integrate, and platforms that master trader, user attention, and information flow are expected to form stronger network effects.However, social trading also faces significant structural risks. Data shows that among approximately 292,000 wallets analyzed by the Fomo platform over the past three months, only 6.16% achieved profitability based on realized gains. Followers lack independent investment logic and are easily influenced by herd behavior, while there may also be conflicts of interest between traders and followers.Furthermore, even if platforms can verify public positions, traders may still establish undisclosed positions through other wallets, making information asymmetry difficult to eliminate completely. Analysis suggests that as the boundaries between trading and entertainment continue to blur, platforms that can establish unique information layers, gather quality traders, and form network effects may gain an advantage in the competitive social trading market.

Bitget CFD Chief Analyst: On the eve of Jackson Hole, market focus shifts to inflation, long-term Treasury yields, and policy framework

Bitget CFD Chief Analyst Lewis Huang stated in a live broadcast that this week’s U.S. PCE data and the Jackson Hole Global Central Bank Annual Meeting will become the market focus. The market is not only concerned about whether the Federal Reserve will adjust interest rates but will also pay close attention to how it responds to inflation remaining above the 2% target, high long-term Treasury yields, and fiscal pressures.Lewis Huang pointed out that if the core PCE is higher than expected and the Federal Reserve signals a continuation of tightening or emphasizes anti-inflation measures, U.S. Treasury yields and the dollar may receive support, while interest rate-sensitive assets like gold and the Nasdaq 100 may come under pressure. Conversely, if inflation data cools and officials express a tendency to retain policy flexibility, the market may re-evaluate future easing space, benefiting gold, non-U.S. currencies, and growth-oriented stock indices. This PCE data is generally in line with expectations, and the market focus has shifted to the Jackson Hole Global Central Bank Annual Meeting.In addition, the situation in the Middle East and risks in the Strait of Hormuz may still push up oil prices and inflation expectations. Traders should closely observe the U.S. dollar index, U.S. 2-year and 10-year Treasury yields, and the correlation between gold and oil; after major data releases, it is advisable to wait for further market confirmation of direction to avoid using high leverage to chase the initial wave of trends.

first_img Corporate AI spending continues to increase, with the growth focus shifting from subscriptions to APIs

FundaAI released a research report on enterprise AI applications, indicating that enterprise AI budgets are still expanding, but there is a divergence in trajectories in the second half of 2026 and 2027. The AI spending guidance from large U.S. telecom operator A shows an increase from a baseline of 100 in January to about 190 in December, with an expected year-on-year increase of 40%--50% in 2027; large European automaker A has only increased by 10%--15% so far this year, with guidance for next year remaining roughly flat.Incremental spending is shifting from paid seats to API/Token consumption and production workflows. The aforementioned telecom operator's subscription and API ratio has changed from about 50%/50% to 40%/60%, and it may trend towards 35%/65%; mid-to-large biopharmaceutical company A has adjusted from 80%/20% to about 70%/30%. Open-source adoption is uneven, with active scenario usage accounting for 30%--40%, as the unit price is lower, leading to a smaller spending proportion; experts estimate that open-source inference can be about 40%--70% cheaper than closed-source cutting-edge models, with the gap narrowing to 20%--40% under full cost metrics, and model routing, caching, and context compression could further reduce API spending by about 20%--30%.On the production side, AI budgets are increasingly built from the bottom up based on workflow ROI. The typical production ROI for this telecom operator is about 1.5--2 times, with a payback period of 6--18 months, and mature use cases can reach 3--5 times. The next wave of spending is related to agents, software modernization, network operations, commoditized workflows, and longer-cycle business processes, but engineering capacity, process reengineering, governance, and data readiness are becoming tighter constraints than funding.
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