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According to PANews, OpenAI has informed its employees that it will eliminate a compensation policy that previously prevented employees from receiving any stock if they left the company within six months. This change comes as the competition for AI talent intensifies, prompting leading companies to relax or remove restrictions designed to ensure long-term retention of new employees. The move reflects the fierce competition in the AI industry for top technical talent.

According to BlockBeats, industry experts highlight that machine learning in the crypto trading sector has not yet reached a widespread adoption phase akin to an 'iPhone moment.' However, AI-driven automated trading agents are rapidly approaching this critical juncture. With advancements in algorithm customization and reinforcement learning capabilities, the new generation of AI trading models is shifting focus from absolute profit and loss (P&L) to incorporating risk-adjusted metrics such as the Sharpe ratio, maximum drawdown, and value at risk (VaR) to dynamically balance risk and reward across various market conditions. Michael Sena, Chief Marketing Officer at Recall Labs, noted that in recent AI trading competitions, specially customized and optimized trading agents significantly outperformed general large models, which only slightly surpassed the market when executing trades autonomously. The results indicate that specialized trading agents, enhanced with additional logic, reasoning, and data sources, are gradually surpassing basic models. Nonetheless, the democratization of AI trading raises concerns about whether the advantage of Alpha will be quickly exhausted. Sena emphasized that those who can develop proprietary, specialized tools will continue to benefit in the long term. The most promising future form may be an AI-driven 'smart portfolio manager' that still allows users to set strategy preferences and risk parameters.

According to Odaily, Federal Reserve official Harker stated that the Federal Reserve is dedicating significant time to studying artificial intelligence. He expressed confidence that the next Federal Reserve Chair will remain focused on the 2% inflation target.

According to PANews, Spanish multinational bank BBVA has announced a strategic partnership with OpenAI to extend the use of ChatGPT Enterprise to its 120,000 employees worldwide, expanding its previous reach tenfold. This collaboration aims to enhance customer experience, optimize internal operations, and deepen the application of artificial intelligence (AI) in banking. BBVA plans to leverage OpenAI's technology to develop new AI solutions that improve customer interactions, boost employee productivity, optimize risk analysis processes, and redesign internal software development workflows. Previously, BBVA successfully piloted the deployment of ChatGPT among its employees, helping them save nearly three hours per week on routine tasks. The partnership also includes specialized training programs and structured tool integration models to ensure the safe and consistent application of AI tools across all business areas in 25 countries. Additionally, BBVA intends to use ChatGPT to directly serve customers, accelerating its transformation into an AI-native bank. BBVA Chairman Carlos Torres Vila stated that this collaboration will provide customers with a smarter, more personalized banking experience. In related news, Disney has announced a $1 billion equity investment in OpenAI.

According to Foresight News, OpenAI has launched GPT-5.2, emphasizing its application in professional knowledge work and long-process AI agent design. The new version offers three variants: Instant, Thinking, and Pro. Instant is tailored for writing and information retrieval, Thinking excels in programming and planning, while Pro provides the most accurate responses to complex queries. OpenAI aims to enhance the economic value of AI in real-world work scenarios with GPT-5.2. The model has outperformed industry professionals in various benchmark tests, showcasing its capabilities across different tasks.

According to Cointelegraph, Texas is witnessing a significant shift in energy demand dynamics, with artificial intelligence (AI) data centers now leading the surge in large-load power requests, surpassing the demand previously driven by Bitcoin miners. The Electric Reliability Council of Texas (ERCOT), responsible for managing the state's independent power grid, has reported a substantial increase in its large-load interconnection queue, which has reached 226 gigawatts of new requests. Notably, approximately 73% of these requests are linked to AI facilities. Developers have submitted 225 large-load requests this year alone, while ERCOT is currently evaluating 1,999 generation proposals totaling 432 gigawatts. Despite the impressive numbers, the growth in load demand is outpacing supply. The generation queue is predominantly filled with solar and battery projects, which do not provide the continuous power supply required by AI data centers. This discrepancy poses potential challenges for future grid reliability and investment. State regulators are actively working to address these challenges. New regulations are being crafted to classify any customer requesting 75 megawatts or more as a 'special handling' case. Additionally, ERCOT has significantly increased the number of transmission projects under review to accommodate the growing demand. The Miner Mag highlights the contrast between the current AI-driven power demand and the previous boom from Bitcoin miners. While Bitcoin miners were once major power consumers in Texas, their operations often contributed positively to grid stability by curtailing activities during peak demand periods. A study by the Digital Asset Research Institute estimated that Bitcoin miners helped save the state approximately $18 billion. However, the landscape is evolving as many miners and digital asset operators shift their focus towards AI computing to meet the rising demand for GPU capacity. An example of this transition is Mike Novogratz’s Galaxy, which recently secured $460 million to transform its former Bitcoin mining site in Texas into a large-scale AI data center.

According to PANews, The Walt Disney Company has entered into a landmark agreement with OpenAI, committing to a $1 billion equity investment in the AI firm. This partnership positions Disney as the first major content licensing partner for OpenAI's model, Sora. Disney plans to leverage OpenAI's technology by becoming a customer and utilizing its API to develop products, tools, and service experiences. This includes projects for Disney+ and the deployment of ChatGPT for its employees.

According to Odaily, Meta CEO Mark Zuckerberg is deeply involved in daily research and development, steering the company's strategy towards monetizable artificial intelligence models after investing billions of dollars in building one of the most expensive teams in tech history. Insiders reveal that a new model, codenamed 'Avocado,' is expected to be released in the spring of 2026, potentially as a closed-source product controlled and sold by Meta. This move marks a significant departure from Meta's long-standing advocacy for open-source initiatives. Zuckerberg is dedicating substantial time to a core team known as TBD Lab, which is integrating third-party models such as Google's Gemma, OpenAI's gpt-oss, and Alibaba's Qwen during the training of Avocado. Concurrently, Meta is significantly reallocating resources, reducing investments in the metaverse and virtual reality, and redirecting funds towards hardware like AI glasses. The company plans to invest $600 billion in AI infrastructure in the United States over the next three years.

According to PANews, Meta Platforms CEO Mark Zuckerberg has directed the company to discontinue its open-source artificial intelligence initiatives. This decision marks a significant shift in Meta's approach to AI development, as the company has previously been involved in open-source projects. The move could impact the broader AI community, which often relies on open-source contributions for innovation and collaboration. Meta's decision comes amid ongoing discussions about the role of open-source technology in the rapidly evolving AI landscape.

According to Foresight News, Tether has introduced a new AI health and wellness application platform named QVAC Health. The platform ensures data privacy by running AI models locally on users' devices. QVAC Health integrates data from sources like Oura Ring, Apple Health, and Google Health, consolidating scattered health records into an encrypted offline dashboard. The application supports natural language input for recording exercise and diet, and uses on-device computer vision to estimate meal calories. Additionally, Tether has released the QVAC SDK, enabling developers to create local intelligent applications that operate on devices.

According to Foresight News, OpenAI has partnered with Anthropic and Block, a payment service provider owned by Jack Dorsey, to establish the Artificial Intelligence Agents Foundation (AAIF) under the Linux Foundation. The initiative has garnered support from major industry players, including Google, Microsoft, AWS, Bloomberg, and Cloudflare. AAIF aims to provide neutral governance for open and interoperable infrastructure, facilitating the transition of AI systems from experimental to practical production applications. As part of this effort, OpenAI will contribute AGENTS.md, a simple and open format designed to provide project-specific instructions and background information to agents, to the foundation. This contribution is intended to ensure long-term community support and adoption. In addition to AGENTS.md, the co-founders of AAIF will each contribute a project to the foundation: Anthropic will provide the Model Context Protocol (MCP), and Block will contribute Goose.

According to Foresight News, OpenAI has released a report on the current state of enterprise AI, revealing significant growth in user engagement and adoption. The report indicates that weekly active users have surpassed 800 million, with over one million businesses paying for enterprise-level AI products. ChatGPT's workplace product has reached 7 million paid seats, representing employee users. The report highlights the United States, Germany, and Japan as the most active markets for commercial ChatGPT usage. Across various industries, the median increase in AI usage over the past 12 months has exceeded sixfold. OpenAI notes that AI is redefining traditional job boundaries, with 75% of employees using AI to accomplish tasks previously beyond their capabilities, such as code review, spreadsheet automation, and technical tool development. In the last six months, code-related message volume has grown by an average of 36% across non-engineering, IT, and research departments.

According to PANews, the European Union has launched an antitrust investigation into Google, focusing on whether the company is using its artificial intelligence tools to abuse its market dominance and exclude competitors. The European Commission stated that it will examine if Alphabet's Google has imposed unfair terms on content creators or distorted competition by giving its AI models an advantage. This investigation highlights the EU's increasing regulatory scrutiny of tech giants' activities in the AI sector.

According to Cointelegraph, stablecoin leader Tether has announced its participation in an $81 million funding round for Generative Bionics, an Italian artificial intelligence startup focused on developing advanced humanoid robots. The funding round, amounting to 70 million euros, was spearheaded by the AI fund of CDP Venture Capital and included contributions from Tether, AMD Ventures, Duferco, Eni Next, and RoboIT. In a statement released on Monday, Tether revealed its investment aims to support the creation of humanoid robots designed for industrial-scale performance and human-centric interaction. The company emphasized that its financial backing will aid in the development of Physical AI systems and edge AI solutions, accelerate the industrial validation of Generative Bionics' humanoid platform, and facilitate the establishment of its first production facility, integrating it into the broader robotics ecosystem. Generative Bionics, a research spinoff from the Italian Institute of Technology, is dedicated to building humanoid robots with real-world physical AI capabilities, particularly for industrial applications in factory production lines. Tether's involvement aligns with its broader strategy to support emerging technologies that enhance human potential while minimizing dependence on centralized systems dominated by major tech companies. Tether has outlined five key investment areas: finance, power, data, education, and evolution, with AI investments like this one falling under the evolution category. The firm, maintaining a robust balance sheet in 2025, has diversified its investments across various sectors. In the realm of AI, reports from mid-November indicated that Tether was contemplating a significant $1.15 billion investment in the German AI robotics startup Neura. Additionally, Tether highlighted other AI initiatives it has supported, including investments in brain-computer interfaces through Blackrock Neurotech and recent collaborations with Northern Data and Rumble to deploy a 20,000-GPU global compute network for open, privacy-preserving AI development.

According to Odaily, Ray Dalio has expressed a preference for investing in companies that leverage artificial intelligence to enhance efficiency, rather than in costly large-scale data centers. He cautioned that high market concentration and overvaluation pose risks, making diversification essential. Dalio stated he will continue to underweight bonds, hold gold and other 'alternative currencies,' and invest in power infrastructure. He also favors countries with high education levels, developed capital markets, and strong rule of law, citing India as an example.

According to PANews, U.S. President Donald Trump has announced plans to issue an executive order this week concerning artificial intelligence. The order aims to establish a single set of guidelines to ensure the United States maintains its leadership in the AI sector. Trump emphasized the importance of having a unified rulebook to guide advancements in artificial intelligence.

According to Odaily, U.S. President Donald Trump has expressed concerns about maintaining the United States' leadership in artificial intelligence. He emphasized the need for a single set of rules to govern AI development, warning that involving all 50 states in rule-making and approval processes could jeopardize the country's current advantage. Trump argued that such fragmentation could destroy AI in its early stages, as it would be impractical for companies to seek approval from each state for every initiative. He announced plans to issue an executive order this week to establish a 'single rule' framework for AI regulation.

According to PANews, OpenAI's recent report titled 'State of Enterprise AI' reveals significant growth in the adoption of ChatGPT among businesses. The report indicates that ChatGPT serves over 800 million users weekly, with enterprise adoption accelerating and deepening. Over the past year, ChatGPT Enterprise has seen an eightfold increase in weekly message volume, while average messages per user have risen by 30%. Structured processes such as Projects and Custom GPTs have grown 19 times within the year, and organizational reasoning token consumption has surged approximately 320 times. The survey found that 75% of employees believe AI enhances speed or quality, saving an average of 40–60 minutes daily, with heavy users saving over 10 hours weekly. Industries such as technology, healthcare, and manufacturing are leading in growth. Additionally, enterprise clients in Australia, Brazil, the Netherlands, and France have increased by over 140% year-on-year. Advanced users and enterprises show significant usage intensity, with constraints shifting towards organizational implementation and execution.

According to PANews, Santiment has released data on the development activity of AI and big data-focused cryptocurrency projects over the past 30 days. The projects with the highest activity include Internet Computer (ICP), Chainlink (LINK), NEAR Protocol (NEAR), Oasis Network (ROSE), Filecoin (FIL), Livepeer (LPT), Recall (RECALL), The Graph (GRT), iExec (RLC), and Injective (INJ). ICP and LINK continue to lead the rankings, while Recall has shown significant improvement. In contrast, GRT, RLC, and INJ have experienced a decline in their positions. The rankings are based on GitHub development activity, indicating the level of technical investment in AI and big data by these projects.

According to Foresight News, AlphaTON Capital, a Nasdaq-listed company, has submitted a shelf registration statement to the U.S. Securities and Exchange Commission (SEC) for $420.69 million. This move aims to enhance the company's financing flexibility to support future expansion projects in artificial intelligence and high-performance computing infrastructure. The shelf registration statement, authorized under U.S. securities law, allows issuers to offer securities over a specified period, typically three years, in multiple rounds. This method enables companies to strategically time their offerings based on market conditions and funding needs. In addition to infrastructure expansion, AlphaTON Capital plans to pursue strategic mergers and acquisitions within profitable companies in the Telegram ecosystem.