Earn Dual Asset: Maximizing Returns with AI

The Earn Dual Asset feature stands out as a sophisticated structured yield product. It provides a seamless experience for users aiming to maximize returns in directional markets. This product is designed for those who prioritize yield while maintaining exposure to market movements, offering an attractive alternative to traditional spot limit orders.

On-Chain Alpha: Early-Stage Token Trading

On-Chain Alpha empowers traders to engage with early-stage tokens using Bybit’s Flash Trade functionality. This feature includes execution priority modes, such as Priority-on-Success and Priority-on-Price, allowing traders to optimize their strategies in fast-paced markets. The ability to track direct alpha gains within Bybit accounts enhances the trading experience.

Expanding Bybit’s AI Trading Ecosystem

Bybit’s continuous innovation with Earn Dual Asset and On-Chain Alpha solidifies its position as a leader in AI-driven trading platforms. These features are integrated into Bybit AI Skills, enabling users to interact with the markets through natural language commands on popular AI assistants like ChatGPT and Gemini.

For traders looking to explore these new features, Bybit AI Skills offers comprehensive insights and technical details on their website and GitHub repository.

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Why AI Prefers Futures

AI technology is increasingly applied in the crypto trading sector, with a distinct preference for futures contracts. Futures provide a standardized, margin-based framework that natively supports both long and short exposures, streamlining systematic execution. This is a stark contrast to spot markets, where execution logic intertwines with custody, settlement, and borrowing mechanisms.

Advantages of Futures Over Spot

Futures trading offers several advantages, such as margin-based positions continuously marked to market, symmetric long and short exposures, and more controllable risk parameters. These features make futures an ideal playground for automated systems, as they simplify the operationalization of execution automation.

OneBullEx, a derivatives exchange launched in 2025, exemplifies this trend by optimizing its infrastructure around perpetual contracts and futures execution across multiple trading pairs.

The Role of Automated Execution Systems

Automated execution systems are revolutionizing trading operations by enhancing efficiency and precision. In futures markets, these systems leverage signals like basis and funding to determine market positioning and leverage distribution.

Platforms like OneBullEx are setting new standards with transparent performance metrics, allowing users to verify execution systems’ efficacy against real market conditions.

AI-Driven Price Discovery

Futures markets often lead the price discovery process, with research showing that futures contribute significantly to price discovery, especially under arbitrage conditions. This dynamic is particularly pronounced in crypto markets, where futures often predict spot returns.

For systematic execution, the concentration of informed capital in futures venues provides a clearer mapping from market state to order action, enhancing learning efficiency.

Overall, the synergy between AI and futures trading is fostering a new wave of futures-native platforms, with execution automation embedded in their core architecture. As AI technology continues to advance, its integration with futures markets is poised to redefine trading execution efficiencies.

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David Sacks’ Impact as Crypto Czar

During his time as the crypto czar, Sacks played a pivotal role in shaping the regulatory landscape for digital assets. One of his significant contributions was helping the President’s Working Group on Digital Asset Markets publish a comprehensive 166-page report in July. This document provided a blueprint for regulating the burgeoning crypto industry, aiming to create a balanced framework for innovation and consumer protection.

AI and Crypto: A Dual Focus

Beyond crypto, Sacks was instrumental in developing an AI framework that aimed to bolster innovation while safeguarding intellectual property rights. His efforts in pushing for legislation like the GENIUS Act and the CLARITY Act underscore his commitment to creating a robust regulatory environment for both AI and cryptocurrency.

Future Role and PCAST Initiatives

Although Sacks’ official term as crypto czar has ended, his influence persists. A senior adviser cited by Fox Business mentioned that Sacks will maintain a broad advisory role, addressing critical tech issues beyond crypto and AI.

PCAST, which Sacks co-chairs, will focus on aligning America’s AI strategy at federal and state levels. The council includes notable figures like Nvidia’s Jensen Huang and Meta’s Mark Zuckerberg, emphasizing the importance of cohesive regulation across states.

Challenges and Opportunities in AI Regulation

Sacks highlighted the current regulatory patchwork across the US, which poses challenges for innovators. A unified rulebook, as advocated by the president, seeks to streamline regulations and foster a more conducive environment for technological advancements.

The council’s primary goal is to address these disparities and ensure a synchronized approach to AI regulation, thus promoting innovation while maintaining high ethical standards.

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How Blockchain Enhances AI-Generated Content Verification

Blockchain technology provides a decentralized and immutable ledger that can timestamp and uniquely identify AI-generated content. This feature ensures that each digital piece can be traced back to its origin, verifying its authenticity. Selig emphasized the critical nature of having such technologies in the US, stating, “You can’t have AI without blockchain.”

By integrating blockchain with AI, regulators aim to maintain US leadership in the crypto space while preventing over-regulation that could stifle innovation.

Regulatory Perspectives on AI and Blockchain

As AI becomes more prevalent in financial markets, regulators are tasked with distinguishing between automated tools and autonomous agents. Selig advocates for a “minimum effective dose” of regulation, focusing on market participants rather than developers. This approach ensures that innovation isn’t hampered while maintaining market integrity.

The CFTC’s ongoing assessment of AI models highlights the need for targeted enforcement on financial actors engaging in market activities.

Innovative Solutions for Content Verification

Proof-of-personhood systems, like Sam Altman’s World ID protocol, offer innovative ways to confirm the authenticity of online identities without compromising privacy. These systems are crucial as they enable AI agents to verify their human backing, integrating seamlessly with blockchain-based micropayment protocols.

Ethereum co-founder Vitalik Buterin has proposed leveraging cryptography and blockchain to enhance online verifiability, using technologies like zero-knowledge proofs and onchain timestamps.

As US policymakers consider broader AI regulations, blockchain’s role in content verification remains a key discussion point.

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Apple AI: A New Era for Siri

With the focus keyword Apple AI, the tech giant is poised to integrate advanced artificial intelligence capabilities into its voice assistant. This change aims to offer users a more intuitive and responsive experience. The revamped Siri app will leverage machine learning to better understand and predict user needs.

Key Features of the New Siri App

The Siri App in iOS 27 boasts several exciting features designed for enhanced functionality and user engagement. These include a sleek new interface, improved voice recognition, and the ‘Ask Siri’ button, which simplifies accessing information and performing tasks. Apple AI ensures that Siri can handle more complex queries, making it a valuable tool for daily use.

Implications for the Tech and Crypto Markets

Apple’s AI advancements could have far-reaching impacts on the tech and crypto markets. As Siri becomes more integrated into daily life, it could influence how users manage their digital assets, from corporate bonds to cryptocurrencies. The seamless user experience may drive increased adoption and innovation in related sectors.

Industry experts predict that Apple’s AI initiatives will not only enhance Siri’s capabilities but also stimulate growth in the broader tech ecosystem. By investing in artificial intelligence, Apple is setting a precedent for other tech companies to follow.

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Strategic Hiring Across Key Areas

The expansion will cover a variety of roles, including engineering, research, product development, sales, and customer deployment. These positions are crucial for increasing business adoption of OpenAI’s innovative tools.

Sam Altman’s company is making these strategic hires to strengthen its enterprise revenues and counteract growing competition. Anthropic, with its Claude product line, and Google, with its Gemini models, are both advancing rapidly in the AI sector.

Financial Backing and Potential IPO

The hiring surge follows a massive $110 billion fundraising round concluded in February 2026. This investment, which valued OpenAI at $730 billion pre-money, is meant to enhance its computational capabilities and expand its global reach as the demand for AI solutions continues to grow.

OpenAI is also preparing for a potential IPO as early as Q4 2026. The company is actively recruiting experienced financial and operational leaders to convert its extensive user base into high-value business customers across various applications.

Challenges and Market Position

Despite the ambitious growth plans, OpenAI faces challenges, including potential oversizing of its workforce if enterprise commitments do not materialize as expected. The company also deals with several lawsuits concerning training data and intellectual property, which could impact customer decisions.

Nevertheless, OpenAI’s aggressive expansion strategy is likely to influence similar moves by competitors, pushing the boundaries of AI enterprise adoption and innovation.

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AI Infrastructure: A Global Phenomenon

Huang emphasizes that building AI infrastructure requires trillions of dollars, with much of the necessary facilities still in development. This expansive buildout is poised to become the largest in human history, demanding a wide array of roles such as electricians, plumbers, and network technicians.

According to Huang, the industry is only a few hundred billion dollars into a process that will require significant workforce expansion. These roles are not only essential but also provide well-paid opportunities, addressing the current shortage of skilled workers.

The Five-Layer Cake of AI

The concept of AI infrastructure is likened to a “five-layer cake” by Huang. This includes energy, AI chips, infrastructure, AI models, and applications. Each layer is critical to the functionality and advancement of AI technology.

Huang notes that AI infrastructure must be fundamentally reimagined, as it operates differently from traditional software systems. AI generates intelligence in real-time, requiring innovative approaches to building and maintaining these systems.

Job Creation Across Industries

The demand for AI infrastructure is not confined to a single sector or country. As every company integrates AI, the need for a diverse workforce grows. Despite fears of job losses due to AI efficiencies, the technology is simultaneously creating new roles.

For instance, while Block, Inc. and other firms have seen layoffs attributed to AI, the overall impact on unemployment remains moderate. Analysts from Goldman Sachs suggest AI has slightly increased the US unemployment rate, but the job market continues to evolve with new opportunities.

In conclusion, the AI infrastructure boom represents a significant shift in global economic trends, with extensive job creation potential. As the industry grows, it is crucial for the workforce to adapt and seize these emerging opportunities.

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Polymarket’s Strategic Partnership with Palantir

Polymarket, a leading name in the prediction market, has teamed up with Palantir Technologies, a company known for its robust data analytics capabilities. This partnership leverages the Vergence AI engine, a joint venture between Palantir and TWG AI, to enhance market integrity.

The platform aims to monitor trades, identify prohibited activities, and ensure compliance. It uses real-time AI analytics to spot anomalies such as market manipulation and insider trading, thus fostering trust and fairness in sports betting.

Enhancing Sports Market Integrity

The integration of AI will establish new standards in sports market integrity. According to Shayne Coplan, founder and CEO of Polymarket, this collaboration enables the creation of tools that maintain the confidence of leagues and teams in the fairness of the games.

With AI-driven insights, potential issues can be quickly identified and addressed, ensuring that the betting environment remains transparent and honest.

Polymarket and Kalshi: Expanding Horizons

As Polymarket and Kalshi continue to expand, they face regulatory challenges, particularly from state-level gaming authorities. However, their innovative approaches attract significant trading volumes, with Kalshi alone recording over $1 billion during the last Super Bowl.

Both companies are in talks with potential investors to secure funding at valuations nearing $20 billion, signaling strong market growth and interest.

Palantir’s Role in the Industry

Founded in 2003, Palantir Technologies has a rich history of providing data integration and analytics for various sectors, including military and enterprise applications. This expertise makes them an ideal partner for Polymarket in setting new benchmarks for sports betting integrity.

As Polymarket reenters the U.S. market, leveraging Palantir’s technology will be crucial in navigating regulatory landscapes and ensuring a secure and trustworthy betting platform.

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Expanding Japan’s AI Data Infrastructure

AirTrunk, owned by a consortium led by Blackstone and CPP Investments, has announced plans to expand its TOK1 campus beyond 300 megawatts (MW) of capacity. This expansion is crucial in meeting the burgeoning demand for cloud services and AI infrastructure in Japan, one of the world’s leading markets in these sectors.

Robin Khuda, CEO of AirTrunk, emphasized the importance of this project, stating, “Japan is one of the world’s most important cloud and AI markets, and we’re committed to building the digital infrastructure that enables its long-term growth.”

Consortium-Backed Financing

The loan, valued at 191.6 billion Japanese yen ($1.24 billion), was facilitated by a consortium of 12 banks, including Sumitomo Mitsui Banking Corporation (SMBC), MUFG, Crédit Agricole CIB, and Société Générale. This collective effort underscores the confidence in AirTrunk’s project and its potential to transform Japan’s digital landscape.

AirTrunk’s Strategic Expansion

In addition to the Tokyo expansion, AirTrunk has plans for a second hyperscale campus in Osaka and a new Japan headquarters. With these developments, AirTrunk’s total investment in Japan is set to surpass $8 billion. The company’s four campuses—TOK1, TOK2, OSK1, and OSK2—are projected to deliver approximately 530 MW of combined capacity, positioning AirTrunk as a leading hyperscale data center network in the country.

The loan was issued under AirTrunk’s Green Financing Framework, ensuring that facilities adhere to strict energy efficiency standards to minimize power consumption and emissions.

Impact on the Crypto and AI Sectors

As AI and cloud computing demand grows, so does the intersection with the cryptocurrency sector. Notably, companies like CleanSpark and Core Scientific are also investing heavily in AI data center infrastructure to support their crypto mining operations. These developments highlight the evolving relationship between AI and cryptocurrency, with data centers playing a pivotal role.

Future Prospects for AirTrunk

Acquired in 2024 by Blackstone and the Canada Pension Plan Investment Board in a $16 billion deal, AirTrunk is poised for substantial growth. This acquisition marks the largest data center deal globally, underscoring AirTrunk’s strategic importance in the data center industry.

As AirTrunk continues its expansion and investment in energy-efficient technologies, it sets a benchmark for future developments in the AI and cloud sectors, with significant implications for Japan’s digital economy.

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Morgan Stanley Loan: A Strategic Move

The newly secured facility from Morgan Stanley offers Core Scientific the financial flexibility needed to pivot towards high-density colocation services tailored for AI workloads. The accordion feature within the loan agreement allows an increase in funding commitments by an additional $500 million, potentially raising the total to $1 billion.

Investment in AI Infrastructure

Core Scientific plans to utilize the loan to acquire real estate, cover pre-development costs, and secure energy contracts essential for supporting compute-intensive tasks. The funds will also facilitate the purchase of equipment necessary for transforming existing facilities in Texas, Georgia, and North Carolina.

CEO Adam Sullivan highlighted that the financing strengthens liquidity, enabling decisive capital deployment to accelerate project timelines, making Core Scientific an attractive choice for infrastructure provisioning.

Transition from Bitcoin Mining

As Core Scientific transitions from its traditional bitcoin mining operations, it plans to monetize its bitcoin reserves to fund this strategic pivot towards AI infrastructure. In 2026, the company expects to liquidate nearly all its bitcoin holdings to support this new direction. By the close of 2025, Core Scientific held 2,537 BTC valued at $222 million, marking a significant increase from 256 BTC at the end of 2024.

In January, the company sold over 1,900 BTC for approximately $175 million, leaving it with around 630 BTC. Sullivan noted that bitcoin mining is now in a maintenance mode, primarily utilized to meet minimum power commitments as they convert legacy sites for AI-focused operations.

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