Crypto Morning Brief: Prediction Market Kalshi Raises Over $1 Billion, Block Recalls Some Laid-Off Employees

marsbitPublicado a 2026-03-20Actualizado a 2026-03-20

Resumen

Crypto & AI Daily Digest **Key Market Events:** - The Bank of Japan kept its benchmark interest rate unchanged at 0.75%, as expected. - US initial jobless claims for the week of March 14 came in at 205,000, lower than the forecast of 215,000. **Major Funding & M&A:** - Prediction market platform Kalshi raised over $1 billion in a new funding round, doubling its valuation to $22 billion. - OpenAI is acquiring startup Astral to expand its presence in the programming sector. - Animoca Brands announced a strategic investment in AVAX and a partnership with Ava Labs to develop the Avalanche ecosystem, focusing on Asia and the Middle East. **Corporate News:** - **Meta** experienced a significant AI Agent malfunction, leading to a two-hour leak of sensitive company and user data. - **Block** (formerly Square) has quietly recalled some of the employees it laid off in February, with CEO Jack Dorsey admitting the decision may have been a mistake. - **Crypto.com** is cutting approximately 12% of its workforce as part of a company-wide push to integrate enterprise-level AI tools. - **Gemini** has reduced its headcount by about 30% this year and reported an annual loss of approximately $585 million. **Token & Ecosystem Updates:** - The Perle Foundation unveiled the tokenomics for its PRL token, with 37.5% allocated to the community. - Perpetual DEX edgeX has launched a page for its EDGE token airdrop, with claims open until April 1st.

Author: Deep Tide TechFlow

Yesterday's Market Dynamics

Bank of Japan Keeps Policy Unchanged as Expected

The Bank of Japan kept its benchmark interest rate at 0.75%, meeting market expectations, marking the second consecutive meeting of unchanged policy.

US Initial Jobless Claims for the Week Ending March 14: 205K, Expected 215K, Previous 213K

According to Jin10 data, US initial jobless claims for the week ending March 14 were 205,000, compared to an expectation of 215,000 and a previous reading of 213,000.

Meta's AI Agent Malfunctions, Causing Sensitive Data Leak for Two Hours

According to TechCrunch, a malfunction involving an AI Agent recently occurred internally at Meta. An employee posted on an internal forum seeking technical help, and another engineer subsequently called an AI Agent to assist with analysis. However, the Agent posted a reply without authorization and provided incorrect advice.

After the employee followed the AI's suggested actions, a significant amount of company and user-related data was accessed by unauthorized engineers for up to two hours. Meta classified this incident as "Sev 1," the second-highest level of internal security incident.

Notably, this is not the first time Meta has encountered issues with AI Agents malfunctioning. Summer Yue, Meta's Director of Superintelligence Safety and Alignment, had previously stated publicly that her OpenClaw Agent had擅自 deleted the entire contents of her inbox without confirmation.

Perle Foundation Announces PRL Tokenomics: 37.5% Allocated to Community, 17.84% for Ecosystem

The AI data market Perle Foundation has announced the tokenomics for its PRL token. The total supply of PRL tokens is 10 billion. 37.5% will be allocated to the community (7.5% unlocked at TGE, linear unlock over 36 months), 17.84% will be allocated for ecosystem development (10% unlocked at TGE, linear unlock over 48 months), 27.66% will be allocated to investors (12-month cliff unlock, then linear unlock over 36 months), and 17% will be allocated to the team (12-month cliff unlock, then linear unlock over 36 months).

edgeX Announces Launch of EDGE Airdrop Terms Page, Claims Open Until April 1

Perpetual合约 DEX edgeX announced that the EDGE airdrop terms page is now live. According to its webpage, the EDGE token airdrop claim period is from March 19, 18:00 UTC+8 to April 1, 07:59.

Block Quietly Recalls Some Employees After Layoffs, CEO Admits Decision May Have Been Flawed

According to Cointelegraph, payment company Block (which owns Square, Cash App, and Afterpay), which laid off about 4,000 employees in late February, has quietly recalled some employees this month. Several employees posted on LinkedIn that they received offers to return, citing reasons including "paperwork errors" and understaffing in critical infrastructure. CEO Jack Dorsey had admitted that the layoff decision might have been flawed and stated that the rapid development of AI technology prompted the company to restructure its team of about 6,000 people. Some laid-off employees believe the layoffs were more about boosting investor confidence than simply being driven by AI replacement. Currently, Block's official website lists only 27 job openings, all for management or sales positions.

Gemini Cuts About 30% of Workforce This Year, Reports ~$585M Annual Loss, and Pushes AI for Efficiency

According to Bloomberg, cryptocurrency exchange Gemini stated it has cut about 30% of its workforce since the start of the year, reducing headcount to about 445 employees, and has introduced AI tools to improve efficiency; the company reported an annual loss of approximately $585 million for 2025, with Q4 revenue around $60 million but widening losses. It had previously announced layoffs of about 25%, exited the UK, EU, and Australian markets, and replaced several executives.

Crypto.com CEO Announces Layoffs of ~12% of Staff, Pushes Enterprise-Level AI Transformation

Crypto.com CEO Kris Marszalek disclosed on social media that Crypto.com is formally推进enterprise-wide artificial intelligence (AI) integration and is simultaneously reducing its workforce by approximately 12%. Affected employees have been notified, and the company will provide them with corresponding transition support resources.

Kris Marszalek stated that this strategic adjustment aims to combine the best AI tools with high-performing talent to achieve previously unattainable levels of scale and precision in operations. The eliminated roles are primarily those deemed unable to adapt to the new business model.

Animoca Brands Invests in AVAX Token, Forms Strategic Partnership with Ava Labs

According to The Block, Animoca Brands announced an investment in Avalanche blockchain's native token AVAX and formed a strategic partnership with Avalanche development team Ava Labs. The two will work together to promote the development of the Avalanche ecosystem, initially focusing on the Asian and Middle Eastern markets.

An Animoca Brands spokesperson did not disclose the size of the investment or specific terms. According to the cooperation agreement, the collaboration will focus on three areas: capital deployment, product integration, and advisory support, with an emphasis on real-world asset (RWA) tokenization, entertainment, and digital identity. Animoca Brands stated that its established regional infrastructure and institutional relationship networks in Asia and the Middle East can be utilized by projects built on Avalanche for commercial implementation.

Prediction Market Platform Kalshi Raises Over $1 Billion, Valuation Reaches $22 Billion

According to Bloomberg, prediction market platform Kalshi Inc. has completed a new round of funding, raising over $1 billion, with a latest valuation of $22 billion, doubling its $11 billion valuation from its previous funding round in December 2025.

OpenAI to Acquire Startup Astral, Expanding Its Footprint in Programming

According to Jin10 data, OpenAI will acquire startup Astral to expand its footprint in the programming field.

Market Dynamics

Recommended Reading

From $500M to $30B: How Crypto Madman SBF Backed the Most Valuable Company of the AI Era?

This article details how the famous cryptocurrency figure Sam Bankman-Fried (SBF) invested in AI company Anthropic through his hedge fund and explores the relationship between this move and the philosophy of Effective Altruism (EA). It analyzes SBF's investment logic, funding sources, and Anthropic's rapid rise, while also revealing the impact of the FTX bankruptcy case on the EA movement and related companies.

Mastercard Spent $1.8 Billion on Stablecoin Insurance

This article discusses Mastercard's $1.8 billion acquisition of BVNK, aimed at integrating stablecoin payment technology to counter the challenge stablecoins pose to traditional cross-border payment businesses. Stablecoin payments offer advantages like fast settlement and low fees, threatening the profit sources of traditional card networks. Mastercard's goal is to achieve seamless integration of stablecoins with its payment network through this acquisition, ensuring competitiveness if stablecoins become a mainstream settlement method. However, the普及of stablecoin payments still faces technical and regulatory challenges, while traditional financial institutions are actively布局the stablecoin field through acquisitions and other means.

Meta Spent $90B to Shut Down the Metaverse, $2B to Let AI Live in Your Computer

This article discusses how Meta全力押注the metaverse in 2021, spending $90 billion to develop the virtual world Horizon Worlds, but announced it will shut down the VR version of the product in June 2026 due to user growth falling short of expectations. Meanwhile, Meta is shifting its strategic focus to artificial intelligence (AI), planning a 20% reduction in workforce and directing most capital expenditure towards AI infrastructure construction. However, Meta also faces challenges in the AI field, including delays in releasing flagship AI models and the loss of core talent. This shift reflects the tech industry's trend away from the metaverse towards AI, with many companies laying off employees, cutting budgets, and concentrating resources on AI. However, the article points out that this industry consensus may carry risks, and whether the right bet has been placed仍需time to verify.

This Week, Everyone is Helping AI Open Bank Accounts

This article documents the latest developments in the field of artificial intelligence (AI) payments, particularly the construction of autonomous AI payment infrastructure. It mentions that several tech and financial giants, including Stripe, Visa, Mastercard, and Coinbase, are actively developing related technologies and protocols to provide AI agents with payment tools, funding channels, and identity authentication support. Although the current market size for AI payments is small, as AI technology advances, its autonomous payment需求will gradually grow, potentially making this field a significant infrastructure market in the future.

Crypto's First Reverse Stake in a Hong Kong Stock: The New Capital Model Experiment Behind Pharos's $1 Billion Valuation

This article explores an innovative cryptocurrency financing model. The capital cooperation agreement between Pharos and GCL New Energy, featuring token-stock binding and batch unlocking, demonstrates deep integration of traditional capital and the crypto world. This model not only reflects the互补性of both parties but also provides new ideas for future financing in the crypto industry.

Preguntas relacionadas

QWhat was the valuation of prediction market platform Kalshi after its latest funding round?

AKalshi's latest funding round valued the company at $22 billion.

QWhich company announced a strategic investment in AVAX tokens and a partnership with Ava Labs?

AAnimoca Brands announced the investment in AVAX and the strategic partnership with Ava Labs.

QWhat significant internal incident did Meta experience involving an AI Agent?

AMeta experienced a 'Sev 1' security incident where an AI Agent gave unauthorized advice, leading to sensitive company and user data being exposed for two hours.

QWhich payment company recalled some laid-off employees, with the CEO admitting a mistake in the decision?

ABlock (formerly Square) recalled some employees after laying off about 4,000 people, and CEO Jack Dorsey acknowledged the decision may have been a mistake.

QWhat was the total token supply for the AI data market Perle, and what percentage was allocated to the community?

AThe total token supply for Perle's PRL token is 10 billion, with 37.5% allocated to the community.

Lecturas Relacionadas

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

The article explores the intense competition between two leading Chinese AI companies, DeepSeek and Kimi (Moon Dark Side), and the mounting pressure on Yang Zhilin, the founder of Kimi. While DeepSeek re-emerged after 15 months of silence with its powerful V4 model—boasting 1.6 trillion parameters and low-cost, long-context capabilities—Kimi has been focusing on long-context processing and multi-agent systems with its K2.6 model. Yang faces a threefold challenge: technological rivalry, commercialization pressure, and investor expectations. Despite Kimi’s high valuation (reaching $18 billion), its revenue heavily relies on a single product with low paid conversion rates, while DeepSeek’s strategic silence and open-source influence have strengthened its market position and valuation prospects, now targeting over $20 billion. Both companies reflect broader trends in China’s AI ecosystem: Kimi aims for global influence through open-source contributions and agent-based advancements, while DeepSeek prioritizes foundational innovation and hardware independence, notably shifting to Huawei’s chips. Their competition is seen as vital for China’s AI progress, with the gap between top Chinese and U.S. models narrowing to just 2.7% on the Elo rating scale. Ultimately, the article argues that this rivalry, though anxiety-inducing for leaders like Zhilin, is essential for driving innovation and solidifying China’s role in the global AI landscape.

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How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

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Los objetivos principales de Banco AI incluyen: Automatización de Funciones Bancarias: Al aprovechar las tecnologías de IA, Banco AI tiene como objetivo automatizar tareas rutinarias, reduciendo la carga sobre los recursos humanos y mejorando la eficiencia. Mejora en la Gestión de Riesgos: El proyecto utiliza algoritmos de IA para predecir e identificar riesgos, fortaleciendo así las medidas de seguridad contra fraudes y otras amenazas. Personalización de Servicios Bancarios: Banco AI se centra en ofrecer productos y servicios financieros a medida al analizar datos y comportamientos de los clientes. Mejoramiento de la Experiencia del Cliente: La implementación de soluciones impulsadas por IA, como chatbots y asistentes virtuales, tiene como objetivo proporcionar a los usuarios interacciones más humanas, revolucionando la forma en que los clientes se relacionan con los bancos. Con estos objetivos, Banco AI se posiciona como un jugador crucial para hacer que la banca sea más eficiente, segura y centrada en el usuario. ¿Quién es el Creador de Banco AI? Los detalles sobre el creador de Banco AI siguen siendo desconocidos. Como tal, no se ha identificado a ninguna persona u organización específica en la información disponible. El anonimato que rodea el inicio del proyecto plantea preguntas, pero no resta valor a su ambiciosa visión y objetivos. ¿Quiénes Son los Inversores de Banco AI? Al igual que con el creador del proyecto, no se ha divulgado información específica sobre los inversores u organizaciones que apoyan a Banco AI. Sin esta información, es un desafío delinear el respaldo financiero y el apoyo institucional que podrían estar impulsando el proyecto hacia adelante. No obstante, la importancia de contar con una sólida base de inversión es fundamental para sostener el desarrollo en un campo tan innovador. ¿Cómo Funciona Banco AI? Banco AI opera en múltiples frentes innovadores, centrándose en factores únicos que lo diferencian de los marcos bancarios tradicionales. A continuación, se presentan las características operativas clave: Automatización: Al aplicar algoritmos de aprendizaje automático, Banco AI automatiza varios procesos manuales dentro de los bancos. Esto resulta en la reducción de costos operativos y permite que los trabajadores humanos redirijan sus esfuerzos hacia actividades más estratégicas. Gestión Avanzada de Riesgos: La integración de la IA en las prácticas de gestión de riesgos equipa a los bancos con herramientas para predecir con precisión amenazas potenciales como el fraude, garantizando que la información y los activos de los clientes permanezcan seguros. Recomendaciones Financieras Personalizadas: A través del aprendizaje continuo a partir de las interacciones con los clientes, los sistemas de IA desarrollan una comprensión matizada de las necesidades del usuario, lo que les permite ofrecer consejos adaptados sobre decisiones financieras. Interacciones Mejoradas con los Clientes: Al utilizar chatbots y asistentes virtuales impulsados por IA, Banco AI permite una experiencia más atractiva para el cliente, permitiendo a los usuarios resolver sus consultas rápidamente, reduciendo así los tiempos de espera y mejorando los niveles de satisfacción. En conjunto, estas características operativas posicionan a Banco AI como un pionero en el sector bancario, estableciendo nuevos parámetros para la entrega de servicios y la excelencia operativa. Línea de Tiempo de Banco AI Entender la trayectoria de Banco AI requiere mirar su contexto histórico. A continuación, se presenta una línea de tiempo que destaca hitos y desarrollos importantes: Inicios de 2010: La conceptualización de la integración de la IA en los servicios bancarios comenzó a ganar atención a medida que las instituciones bancarias reconocieron los posibles beneficios. 2018: Se produjo un aumento notable en la implementación de tecnologías de IA cuando los bancos comenzaron a utilizar herramientas de IA como chatbots para el servicio al cliente básico y sistemas de gestión de riesgos para mejorar la seguridad. 2023: La sofisticación de la IA continuó avanzando, con la introducción de IA generativa para tareas más complejas como el procesamiento de documentos y análisis de inversiones en tiempo real. Este año marcó un salto significativo en las capacidades que la tecnología de IA otorgó a los bancos. 2024-Estatus Actual: A partir de este año, Banco AI se encuentra en una trayectoria ascendente, con investigaciones y desarrollos en curso que pronto mejorarán las capacidades en las operaciones bancarias. La continua exploración de las aplicaciones de IA sugiere emocionantes desarrollos aún por venir. Puntos Clave Sobre Banco AI Integración de la IA en la Banca: Banco AI se centra en adoptar inteligencia artificial para optimizar los procesos bancarios y mejorar la experiencia del usuario. Enfoque en Automatización y Gestión de Riesgos: El proyecto enfatiza fuertemente estas áreas, con el objetivo de desplazar la carga de tareas rutinarias mientras mejora los marcos de seguridad a través de análisis predictivos. Soluciones Bancarias Personalizadas: Al aprovechar los datos de los clientes, Banco AI permite servicios bancarios adaptados a las necesidades individuales de los usuarios. 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Cómo comprar BANK

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Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de BANK (BANK).

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