Core Insights - The article discusses the transformative impact of AI on investment banking, predicting that by 2030, AI will change 33% of work processes in the industry, affecting various roles differently [1]. Mergers & Acquisitions - Core responsibilities of bankers will focus on risk assessment, providing critical background information, and leading due diligence, especially in complex areas where human judgment is essential [1]. - AI will continuously scan public and private data, identifying strategic acquisition targets [2]. - AI will identify operational, market, and geopolitical risks, providing summarized insights to trading teams [3]. - Expected transformation degree by 2030: 30% [4]. Equity Underwriting - Lead bankers will still oversee book management in real-time, negotiate with key investors, and manage the narrative direction of corporate stories [4]. - AI tools will track investor orders, test stock allocation scenarios, and adjust pricing in real-time during transactions [5]. - AI will conduct scenario analysis based on market trends and potential investor reactions before transaction initiation [6]. - Expected transformation degree by 2030: 32% [7]. Debt Underwriting - Bankers will assess the optimal timing for bond issuance, collaborating with legal advisors to ensure compliance with legal standards and regulatory requirements [7]. - AI will monitor interest rate curves and investor trends, providing recommendations for timing and structure design [8]. - Generative AI will draft issuance documents and terms based on internal data and compliance requirements [8]. - Expected transformation degree by 2030: 34% [9]. Sales & Trading - Traders will leverage AI to conduct larger trades and increase intervention during market disruptions, while still managing inventory and client relationships [9]. - AI systems will provide real-time trading execution suggestions based on liquidity and market analysis [10]. - During market volatility, pricing engines will dynamically adjust bid-ask spreads within set risk parameters [10]. - Expected transformation degree by 2030: 32% [10].

Group 1 - Meta is investing heavily in building multiple large-scale AI data centers globally, focusing on "Superintelligence" rather than just AGI, with the first center "Prometheus" expected to launch in 2026 and another "Hyperion" planned to expand to 5 gigawatts of computing power [2] - The company aims to integrate its AI business under the "Superintelligence Labs" to create a complete AI product chain, from AI chat assistants to AIGC advertising tools and smart glasses, to achieve a commercial closed loop [3] - Meta has increased its capital expenditure forecast for 2025 to between $64 billion and $72 billion, indicating a strategy of using advertising revenue to support AI model development for future gains [3] Group 2 - Meta is reportedly facing challenges such as the cooling development of the Llama 4 model and the departure of key executives, leading to considerations of shifting from open-source models to a more closed commercial model [3] - Analysts suggest that while AI has improved Meta's advertising revenue capabilities in the short term, the long-term competition is centered around who can first create a general AI engine [3] - The company has made significant investments in talent acquisition, including hiring key figures from Scale AI and GitHub, and invested $1.43 billion in Scale AI last year [2]

Core Insights - Meta is aggressively recruiting talent from OpenAI to enhance its competitiveness in the artificial intelligence sector, offering signing bonuses as high as $100 million [1][3] - Four OpenAI researchers have joined Meta's Superintelligence Group, which aims to accelerate the development of Artificial General Intelligence (AGI) [2][4] - Meta's CEO Mark Zuckerberg is personally involved in the recruitment process, aiming to build a team of approximately 50 experts [4] Group 1: Recruitment Strategy - Meta has successfully recruited four key researchers from OpenAI, including experts involved in the development of significant AI models [2] - The recruitment is part of a broader strategy to establish a leading position in AGI, with Zuckerberg directly overseeing the hiring process [4] - Meta previously attempted to recruit OpenAI employees with high financial incentives, although the most talented individuals had not accepted offers until now [3] Group 2: Acquisition Plans - Meta has agreed to acquire a 49% stake in AI startup Scale AI for $14.8 billion, marking its largest external investment to date [5] - The acquisition aims to enhance Meta's capabilities in data annotation and customized training data, which are crucial for AI development [5] - Following the acquisition, Scale AI's founder will join Meta's Superintelligence Group, further strengthening the team [5]