Advent International, a leading global private equity firm founded in 1984, has established itself as a powerhouse in the investment world, managing over $90 billion in assets across various sectors, including technology, healthcare, consumer goods, and financial services. With a presence in North America, Europe, Latin America, and Asia, Advent’s strategy hinges on identifying high-growth companies, optimizing their operations, and driving value creation. In this context, artificial intelligence (AI) and generative AI (GenAI) have emerged as transformative tools for Advent’s portfolio companies and its internal operations and investment decision-making processes.

TPG Capital has integrated AI and Gen AI into its operations to maintain a competitive edge in the data-intensive private equity (PE) industry. While specific details about TPG’s internal AI deployments are not fully public, insights from industry practices and TPG’s focus on technology-driven value creation provide a clear picture of its likely applications.

Bain Capital, a global private investment firm managing around $185 billion, is leveraging AI to enhance its operations, though specific internal details are limited. Through Bain Capital Ventures, the company actively invests in AI startups, demonstrating a strong commitment to the technology. This article examines how AI is integrated into their strategy, including industry trends, competitors' actions, expected impacts, risks, challenges, and the regulatory landscape.

Warburg Pincus, a leading global private equity firm headquartered in New York with over $90 billion in assets under management, is actively integrating AI into its operations. Founded in 1966, the firm has a diversified portfolio of over 250 companies across various sectors, including technology, healthcare, and financial services. Its global presence extends to offices in London, Hong Kong, and other key cities. This survey note examines Warburg Pincus's utilization of AI, its initiatives, industry trends, competitors' strategies, anticipated impacts, risks, challenges, and the regulatory environment, offering a comprehensive overview for stakeholders.

Artificial Intelligence (AI) and Generative AI (GenAI) have emerged as transformative forces in the financial services industry, with J.P. Morgan Asset Management (JPMAM) at the forefront of leveraging these technologies to enhance operational efficiency, client services, and investment outcomes. As AI adoption accelerates across the sector, JPMAM has strategically integrated AI and GenAI into its workflows, aligning with broader industry trends while navigating risks, challenges, and an evolving regulatory landscape.

Artificial Intelligence (AI) and Generative AI (GenAI) are reshaping the financial services industry, driving innovation, enhancing operational efficiency, and redefining client engagement. State Street Global Advisors (SSGA), one of the world’s largest asset managers, has been at the forefront of integrating AI into its investment processes and operations. This article examines SSGA’s utilization of AI and GenAI, its specific initiatives, industry trends, competitor strategies, anticipated impacts, associated risks and challenges, and the evolving regulatory landscape governing AI in the financial services sector.

Fidelity Investments, a financial powerhouse with over $14 trillion in assets under administration, is steadily reinventing itself as a technology-forward firm. While traditionally known for its mutual funds and retirement services, Fidelity is actively embedding Artificial Intelligence (AI) and Generative AI (GenAI) across its investment operations, customer experience, back-office workflows, and even within its internal culture of innovation. As the broader asset and wealth management industry undergoes a digital transformation, Fidelity’s AI initiatives are positioning it as a key player in the future of financial services.

Vanguard, a global leader in investment management, has been at the forefront of integrating artificial intelligence (AI) and generative AI (GenAI) into its operations. This survey note examines Vanguard’s use cases, initiatives, industry trends, competitors’ approaches, anticipated impacts, risks, challenges, and the regulatory environment influencing AI adoption in the financial services sector, offering a comprehensive overview for stakeholders.

BlackRock, the world’s largest asset manager with over $10 trillion in assets under management (AUM), has consistently positioned itself at the forefront of financial innovation. As artificial intelligence (AI) and generative AI (GenAI) redefine the landscape of investment management, BlackRock is leading a transformative shift—integrating these technologies across its portfolio management, client service, risk management, and operational infrastructure.

As we wrap up this 12-part series exploring AI’s role in private equity, I’m struck by the profound ways firms like Blackstone, Apollo, KKR, Carlyle, CVC Capital, Vista Equity, Advent International, TPG Capital, Bain Capital, and Warburg Pincus are embracing artificial intelligence and generative AI to redefine their industry. From deal sourcing to portfolio management, these private equity (PE) giants are harnessing AI to drive efficiency, uncover valuable insights, and maximize returns in a competitive landscape.

Goldman Sachs Asset Management (GSAM), a critical arm of Goldman Sachs, manages over $2.8 trillion in assets (as of 2024) across public and private markets. In an era where data is the new alpha, AI and generative AI (GenAI) are transforming every facet of the asset management value chain—from research to portfolio management, from client service to regulatory compliance. GSAM stands at the forefront of this evolution, leveraging AI to strengthen its investment edge, deliver scalable client personalization, and automate decision-making in complex environments. his article explores GSAM’s use of AI and Gen AI, their specific initiatives, industry trends, competitors’ activities, anticipated impacts, and the risks, challenges, and regulatory environment surrounding AI adoption in asset management.

Capital Group, one of the world’s largest and most respected investment management firms, has been a leader in the financial services industry for nearly a century. With over $2.5 trillion in assets under management (as of 2025), the firm is renowned for its long-term, research-driven approach to investing. In recent years, Capital Group has increasingly embraced artificial intelligence (AI) and generative AI (Gen AI) to enhance its operations, improve client outcomes, and maintain its competitive edge in a rapidly evolving industry. This article explores Capital Group’s use of AI and Gen AI, their specific initiatives, industry trends, competitor strategies, expected impacts, associated risks and challenges, and the regulatory environment shaping AI adoption in financial services

A recent cliff dive in Gartner’s stock price – a nearly 28% single-day plunge, its worst drop since 1999 – has jolted the business world. This wipeout capped a loss of about half of Gartner’s market value since the start of 2025. Why? Because Gartner’s sudden nosedive is more than a one-off market reaction – it’s a warning for any company whose business model depends on monetizing human expertise.

The uncomfortable truth is that AI is already eating into such companies’ revenue, often invisibly. Clients and consumers are increasingly self-serving with AI chatbots to get insights instead of paying for traditional expert advice.

On August 11, 2025, Monday.com (NASDAQ: MNDY) announced its Q2 2025 earnings, delivering what appeared to be a stellar performance. Revenue soared to $299 million, up 27% year-over-year, surpassing analyst expectations of $293.5 million.

The company’s dollar-based net retention rate held steady at an impressive 111%, outpacing the median for SaaS companies. Enterprise growth was robust, with a record number of customers paying over $100,000 annually, and Monday CRM hit a milestone of $100 million in annual recurring revenue (ARR).

Morgan Stanley Investment Management (MSIM) has embraced OpenAI-powered tools — notably the AI @ Morgan Stanley Assistant and AI @ Morgan Stanley Debrief — to transform how its teams conduct research, serve clients, and make investment decisions. These generative AI tools are woven into daily workflows across MSIM’s research analysts, portfolio managers, and distribution (sales) teams.

Adoption of artificial intelligence (AI) and generative AI (Gen AI) within the financial services sector. Managing over $1.5 trillion in assets, MSIM has leveraged AI to enhance investment decision-making, operational efficiency, and client personalization amid a rapidly evolving technological landscape. This article delves into MSIM’s AI and Gen AI use cases, ongoing initiatives, prevailing industry trends, competitors' strategies, anticipated impacts, associated risks and challenges, and the dynamic regulatory framework governing AI in finance.

Artificial Intelligence (AI) and Generative AI (GenAI) are reshaping the asset management industry, offering transformative opportunities for enhancing investment strategies, operational efficiency, and client engagement. Amundi Asset Management, one of the world’s leading asset managers with over €2 trillion in assets under management (AUM) as of 2025, is at the forefront of integrating these technologies to maintain its competitive edge. This article explores Amundi’s use of AI and GenAI, its specific initiatives, industry trends, competitor activities, the expected impact of AI, associated risks and challenges, and the regulatory environment shaping AI adoption in asset management.

T. Rowe Price, a global investment management firm headquartered in Baltimore, Maryland, manages over $1.5 trillion in assets as of June 2025. As the financial services industry evolves, artificial intelligence (AI) and generative AI (Gen AI) have become pivotal in enhancing operational efficiency, improving client outcomes, and driving innovation. This survey note explores T. Rowe Price’s adoption of AI and Gen AI, detailing their use cases, initiatives, industry trends, competitor strategies, expected impacts, risks, challenges, and the regulatory environment governing AI in financial services.

The tectonic plates of the asset management industry are shifting. Driven by data overload, margin pressures, and an insatiable demand for alpha, the sector's most venerable institutions are undergoing a silent revolution. As detailed in a comprehensive analysis of ten industry giants—from BlackRock and Vanguard to Goldman Sachs and J.P. Morgan—a clear and unified pattern emerges. This is not a story of isolated experimentation but of a strategic, industry-wide convergence on Artificial Intelligence (AI) and Generative AI as the foundational technologies for the future.

The Industrial and Commercial Bank of China (ICBC), one of the world’s largest banks by assets, has been at the forefront of integrating artificial intelligence (AI) and generative artificial intelligence (Gen AI) into its operations. As the financial services sector undergoes a seismic transformation driven by emerging technologies, ICBC’s adoption of AI reflects a strategic commitment to enhancing efficiency, improving customer experiences, and staying competitive in a rapidly evolving market. This note explores ICBC’s use cases and initiatives for AI and Gen AI, industry trends, competitor strategies, expected impacts, associated risks and challenges, and the regulatory environment shaping AI adoption in China’s banking sector. One of ICBC’s notable strides is in embracing open-source large language models and customizing them for banking