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How Investment Banks, Hedge Funds, and Investment Firms Are Using AI

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Welcome to Wall Street’s AI era.

Banks, hedge funds, asset managers, and private equity firms have been eager to use generative AI to boost productivity and reduce grunt work for workers. Since OpenAI introduced ChatGPT, finance firms have moved from pockets of experimentation to scaling these generative AI tools companywide. Such tech advancements have been met with a mix of enthusiasm and cynicism.

Business Insider has been reporting on how some of finance’s biggest players are approaching artificial intelligence, from how it might impact jobs and create new ones, to the different ways firms are cutting costs and ramping up efficiencies.

Here is what we know about how Wall Street is embracing AI:

Banks accelerated their AI research and use cases due to the rise of ChatGPT


Jamie Dimon alongside images of a person working from home on a laptop, a person working in a cubicle, and a close-up of the "Return" key on a keyboard.

Alex Brandon/AP Photo; Getty Images; Alyssa Powell/BI



JPMorgan has a technology budget of $18 billion, with much of it going toward making sure it’s a leader in AI.

JPMorgan CEO Jamie Dimon is a tremendous” user of the bank’s generative AI suite. While its private bankers were some of the first to be equipped with a generative AI “copilot” last May, the bank has rolled out its proprietary genAI platform to over 200,000 employees.

Executives at America’s largest bank gave an inside look at how it’s scaling tools and delivering measurable results at its Investor Day in May.

Dimon has previously said he’s out to win the AI arms race.

Goldman Sachs’ chief information officer, Marco Argenti, and head of machine learning quants, Dimitris Tsementzis, say we are at an inflection point with AI. The technology is already changing how employees at the Wall Street giant do business. CEO David Solomon has said AI is changing processes like drafting IPO filings and analyst research.


Photo illustration of Neema Raphael.

Neema Raphael, a chief data officer and Goldman partner.

Goldman Sachs; Jenny Chang-Rodriguez/BI



Morgan Stanley, which was an early partner of OpenAI, has been working with employees to turn their AI ideas into reality. It also had a small group of engineers build a tool that’s saved coders more than 280,000 hours so far this year.

At Citibank, generative AI is poised to change just about every employee’s job, and it has just appointed new leaders to “accelerate” its strategy.

Generative AI could be one of the most promising tech advancements on Wall Street — it may also turn out to be one of the most threatening. Four in five bank leaders surveyed by Accenture in a recent study said they feel like they can’t protect against hackers armed with AI.

Take a look at the patents filed by America’s biggest banks over the years to see how they’ve been thinking about innovating through AI. Data from consultancy Evident revealed how banks are using the tech in everything from trading to UX.

Hedge funds have been on an AI hiring tear as firms look to solidify their teams and strategies

In the ultracompetitive world of hedge funds, being ahead on the latest technology is always a priority.

At this year’s Global Milken conference, executives from Citadel, WorldQuant, and Freestone Grove talked about how AI is helping them leverage their best investors.


Photo collage of a day trader analyzing financial charts on a laptop, an empty office chair in a cubicle, and a money pattern in the background.

Getty Images; Alyssa Powell/BI



Point72’s CTO Ilya Gaysinskiy knows that his boss, billionaire and New York Mets owner Steve Cohen, likes to win. In his first interview since joining the hedge fund last September, Gaysinskiy told BI about his big plans to ramp up Point72’s tech organization and how AI will play into that expansion.

Bridgewater launched a fund driven by AI last year. The fund’s AIA Labs worked to replicate every stage of the investment process with machine learning. The firm’s co-chief investment officer and chief scientist outlined the plans of the world’s largest hedge fund.

Balyasny Asset Management is in the midst of building the AI equivalent of a senior analyst. Charlie Flanagan, the head of applied AI at the $21 billion hedge fund, broke down his plan to amass a collection of bots to automate grunt work for analysts.

D.E. Shaw managing director Neil Katz gave BI an inside look at the quant hedge fund’s generative AI approach, which is built on three main capabilities.

Man Group, the largest publicly listed hedge fund with $161.2 billion in assets under management, launched a new data and machine learning group focused on generative AI in October. Tim Mace, who heads the department, outlined new capabilities his team is developing.


A hedge fund manager and a tech worker

iStock; BI



Interviews with 11 AI executives, recruiters, vendors, and consultants working on Wall Street revealed the cultural challenges hedge funds might face as they use their deep pockets to lure in AI talent. These leaders can struggle to gain the trust of business leaders and break into investment teams, and AI researchers have struggled with hedge funds’ penchant for secrecy.

Private equity firms are trying to figure out how AI can boost their dealmaking and investment skills

Wall Street is no stranger to managing and analyzing copious amounts of data — but data is only helpful if you can find it. Here’s an inside look at Blackstone’s approach to enterprise search: DocAI, a generative AI tool that aims to help workers search and summarize more efficiently.

Blackstone is also hoping AI will give it a leg up to capture more of the insurance company market. Here’s how the firm is giving its insurance clients an edge with revved-up risk management capabilities.

Swedish PE giant EQT built an AI engine called Motherbrain that has changed how its investors source deals. ChatGPT enables the investing giant to take the next step with its AI ambitions.


Robot hands holding lechon on a spit

iStock; Rebecca Zisser/BI



As private equity firms turn to AI for a competitive edge, Thomas H. Lee says its engineers are up to 30% more productive with help from AI coding assistants.

Asset managers are also getting in on the AI action.

AI tools are changing how stock-pickers do their job. AllianceBernstein, BlackRock, and JPMorgan opened up on how their tools are changing portfolio manager workflows.

The multi-billion-dollar investment manager VanEck invested in a Toronto-based startup and is onboarding its technology to boost its ETF business. An exec and the fintech’s CEO walked us through how AI will change analysts’ and salespeople’s jobs.


Two men in denim shirts pose in front of a corporate VanEck office sign

VanEck’s Wyatt Lonergan and Juan Lopez.

VanEck



Andrew Chin, AB’s head of investment solutions and data science, talked to BI about how the asset manager uses AI to get an edge, save analysts hours of work, and improve risk management.

Fintechs are developing AI tools to help their employees work faster and smarter.

When the crypto exchange Kraken announced its plans to acquire a retail trading startup for $1.5 billion, the news made headlines. What went under the radar, however, was Kraken’s use of generative AI for the due diligence process of its acquisition target. Here’s how it went, and why the head of Kraken’s M&A business now sees AI as a part of his core team.

Block, billionaire Jack Dorsey’s company behind Square, Afterpay, and Cash App, developed an AI agent that’s an expert coder — it can even write code better and faster than some of the company’s top engineers.

Here’s a look inside the initiative and why Block decided to open-source it.

In 2023, the neobank Chime built its own private version of ChatGPT to help its engineers launch new products and features faster and more cheaply. The fintech’s CTO walked us through his playbook.

AI is shaking up the tech talent market on Wall Street, from creating new jobs to changing what it takes to be a coder.

The proliferation of AI in the finance industry’s tech ranks — both as builders and users — is evolving the role of developers as it becomes increasingly common to delegate much of their coding work to machines. Five industry veterans, including from Goldman Sachs, Point72, and Morgan Stanley, offered advice on how software engineers can keep their edge.

Wall Streeters, say hello to your new coworker. AI agents are beginning to permeate the labor force as assistants who can help humans with everyday tasks. Here’s how banks and startups want to give every employee their own personalized direct report.

AI is creating entirely new jobs on Wall Street. Here’s one, which has some private equity firms shelling out pay packages of up to $2 million to drum up AI at portfolio companies.

For a broader view at salaries, BI collected salary data on 8 Wall Street banks for AI roles across all levels.

Data is king for hedge funds, and Wall Street’s generative AI era offers new advantages. Here’s how much the biggest proprietary trading firms and hedge funds are willing to pay for talent, according to government data.

Top tech execs from Citadel, Goldman Sachs, and AllianceBernstein open up about how AI is changing the role of the CTO on Wall Street.

Blackstone recently hired an AI exec from Walmart to apply the technology at its some 230 portfolio companies.

AI is redefining what it takes to be a software engineer on Wall Street. Top tech execs from Goldman Sachs and Citi open up about why they want their developers to have liberal arts degrees.

Balyasny’s Bridger program, designed for incoming sell-side analysts to learn coding and AI skills, highlights the evolving skills of an analyst in the age of AI.


A person looking at a computer.

iStock;BI



Business Insider spoke to five industry experts to get their take on how ChatGPT and its underlying tech could be applied to various sectors of financial services.

AI could improve the lives of investment bankers by taking on some tedious tasks, but it can also make it harder to break into and alter the skills required for entry.

AI has opened up a whole new playing field for public cloud giants to compete for Wall Street’s wallet share.

Generative AI has become a key part of Amazon Web Services’s playbook for winning more of Wall Street. The head of the financial services market development walked us through how Amazon’s cloud division is working with JPMorgan, Bridgewater, MUFG, and Rocket Mortgage.

Quant hedge funds are beginning to rely on the latest AI chips, like Nvidia’s popular GPUs, to test some of their most advanced models. Google Cloud is helping quantitative investment firms like Two Sigma and Hudson River Trading innovate around a shortage of sought-after Nvidia AI chips.

Startups are looking to capitalize on Wall Street’s AI fever

Auquan only launched less than two years ago, but it’s already been signed by some big financial firms. Here’s a look at how its technology is automating research work usually done by analysts.

This startup wants to transform how investors and traders analyze data with generative AI. And it’s catching the attention, and dollars, of some of the biggest names in the hedge fund world, like Millennium Management’s founder Izzy Englander and billionaire investor Stanley Druckenmiller.

Meet Mako AI, a generative AI bot designed to solve the woes of early-career private equity associates. The startup, which launched in September, is cofounded by a former Bain and Co. consultant who worked in the PE industry and remembers the countless hours he spent on mundane tasks like collecting data, writing reports, and building formulas.

Wall Street firms know the pain of satisfying regulators, but advancements in AI are introducing a whole new level of scrutiny and complexity. Meet this startup, which automates some of the most time-intensive parts of the risk management process.

Louisa AI is a startup built to suggest potential deals for investment bankers and venture capital investors. The fintech, which was born inside Goldman Sachs by a former Goldman managing director, has suggested $800 million in deal values per quarter across a handful of clients.

Wall Street has a reputation for a hard-charging work culture, something that every junior banker learns in their life. Rogo CEO and cofounder Gabe Stengel was one such banker, sometimes staying up until 5 a.m. to create earnings summaries or to pull together presentations for superiors while at Lazard. Stengel knew there had to be a better way.





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Cambridge Judge Business School Executive Education launches the AI Leadership Programme in collaboration with Emeritus

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The programme explores future-focused AI strategies and frameworks to foster innovation, accelerate organisational growth and build resilience.

CAMBRIDGE, England, July 7, 2025 /PRNewswire/ — Cambridge Judge Business School Executive Education announces the launch of its four-month Cambridge AI Leadership Programme. This programme equips leaders with both strategic insights and practical knowledge to harness AI for business transformation. Launched in collaboration with Emeritus, a global leader in making high-quality education accessible and affordable, enrolment is now open for a September 2025 start.

Artificial intelligence (AI) is transforming industries, and organisations are eager to understand and leverage its full potential to enhance efficiency, drive innovation and stay competitive. According to Forbes, 68% of employers consider AI to be crucial for future success. However, many AI projects fail due to a lack of strategic leadership and integration. The Cambridge AI Leadership Programme helps participants navigate the complexities of AI adoption, identify scalable opportunities and build a strategic roadmap for successful implementation.

Through a blend of in-person and online learning modules, participants will develop an understanding of AI concepts, applications and best practices to enhance decision-making skills as well as examine digital transformation and ethical AI governance. They will engage directly with world-renowned Cambridge faculty, industry experts and global peers while immersing themselves in the rich Cambridge ecosystem. By the end of the programme, participants will be prepared to implement AI strategies that deliver operational excellence and long-term organisational success.

“AI is a transformative force reshaping business strategy, decision-making and leadership. Senior executives must not only understand AI but also use it to drive business goals, efficiency and new revenue opportunities,” says Professor David Stillwell, Co-Academic Programme Director. “The Cambridge AI Leadership Programme offers a strategic road map, equipping leaders with the skills and mindset to integrate AI into their organisations and lead in an AI-driven world.”

“The Cambridge AI Leadership Programme empowers decision-makers to harness AI in ways that align with their organisation’s goals and prepare for the future,” says Vesselin Popov, Co-Academic Programme Director. “Through a comprehensive learning experience, participants gain strategic insights and practical knowledge to drive transformation, strengthen decision-making and navigate technological shifts with confidence.”

The programme is designed for senior leaders looking to lead transformation, unlock new revenue opportunities and integrate AI technologies into business operations effectively. It bridges the critical gap between technology and business strategy, preparing leaders to achieve AI-driven business goals.

“We are delighted to collaborate with Cambridge Judge Business School Executive Education to help senior leaders deepen their understanding of AI’s strategic applications and build foresight to balance innovation while managing risk,” says Mike Malefakis, President of University Partnerships at Emeritus. “Through blended learning, the Cambridge AI Leadership Programme enables participants to leverage AI tools and strategies for business optimisation and growth.”

The Cambridge AI Leadership Programme starts on 22 September 2025. For more information and to apply, please visit the programme website.

About Cambridge Judge Business School

Cambridge Judge Business School leverages the power of academia for real-world impact to transform individuals, organisations and society. Since 1990, Cambridge Judge has forged a reputation as a centre of rigorous thinking and high-impact transformative education, situated within one of the world’s most prestigious research universities and in the heart of the Cambridge Cluster, the most successful technology entrepreneurship cluster in Europe. In the Research Excellence Framework (REF) 2021, Cambridge Judge placed first in the Times Higher Education rankings for Business and Management Studies in the United Kingdom. Ninety-four per cent of Cambridge’s overall REF submissions were rated as “world leading” or “internationally excellent”, demonstrating the major global impact that Cambridge Judge researchers are making on society. Cambridge Judge pursues innovation through interdisciplinary insight, entrepreneurial spirit and collaboration. Cutting-edge research is rooted in real-world challenges, and students and clients are encouraged to ask excellent questions to create real-world change. Undergraduate, graduate and executive programmes attract innovators, creative thinkers, thoughtful and collaborative problem-solvers as well as current and future leaders, drawn from a huge diversity of backgrounds and countries.

About Cambridge Judge Business School Executive Education

Cambridge Judge Business School Executive Education offers a wide range of open-enrolment and customised programmes that will test, challenge, encourage and inspire you. We will help you embrace the knowledge and skills you need – to grow in confidence and to evolve and adapt. Get ready to lead purposefully, manage effectively and innovate in an increasingly complex future.

About Emeritus

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, organisations and governments worldwide. It does so by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’s short courses, degree programmes, professional certificates and senior executive programmes help individuals learn new skills and transform their lives, companies and organisations. Its unique model of state-of-the-art technology, curriculum innovation and hands-on instruction from senior faculty, mentors and coaches has educated more than 350,000 individuals across more than 80 countries. For more information, please visit https://emeritus.org.

SOURCE Emeritus



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Capgemini falls as WNS deal raises questions over AI’s business impact — TradingView News

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** Shares in French IT services firm Capgemini CAP fall more than 5% to their lowest price since late April, after it agreed to buy WNS WNS for $3.3 billion of cash

** Analysts from Morgan Stanley say investors are concerned over the impact of Gen AI on the business process outsourcing (BPO) market that Capgemini wants to develop into

** “The bear case is that new technology would shift BPO from a people intensive business to one which is much more highly automated and managed by software and not people” – MS

** This could mean reduction of BPO revenues and exposure of incumbent vendors to competition from new entrants, MS adds

** “We expect investors to be able to see the opportunity that could come from disrupting BPO with Gen AI but think some evidence will be needed to convince the market WNS is the right vehicle,” MS says

** The analysts add WNS is not large enough to be transformational to Capgemini’s financials, while the deal is using up its balance sheet firepower for a couple of years

** Capgemini’s shares are at the bottom of Europe’s benchmark STOXX 600 index SXXP



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Capgemini-WNS Deal: French firm to acquire BPS provider for $3.3 billion; eyes edge in agentic AI operations

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French tech giant Capgemini on Monday announced its acquisition of business process services (BPS) provider WNS for $3.3 billion in cash, a strategic move aimed at creating a global leader in AI-powered business operations. As per the news agency AFP, the deal, unanimously approved by both companies’ boards, values WNS at $76.50 per share, a 28 per cent premium over its 90-day average trading price.With this acquisition, Capgemini aims to tap into the fast-evolving demand for agentic AI, or autonomous AI agents, which can independently perform tasks and make decisions in business environments. “Capgemini’s acquisition of WNS will provide the group with the scale and vertical sector expertise to capture that rapidly emerging strategic opportunity created by the paradigm shift from traditional BPS to agentic AI-powered intelligent operations,” said Capgemini CEO Aiman Ezzat, as cited by AFP.WNS, headquartered in London with a second base in India and listed on the New York Stock Exchange, began in the late 1990s by offering services to British Airways. Today, it caters to clients across various sectors, helping them transition from conventional outsourcing to tech-driven operational models. The company is widely recognised as a key player in the BPS sector, which has evolved from simple back-office outsourcing to complex AI-integrated process management.“Organisations that have already digitised are now seeking to reimagine their operating models by embedding AI at the core, shifting from automation to autonomy,” WNS CEO Keshav Murugesh said, as per AFP.Capgemini, which provides IT consulting and digital transformation services, said the acquisition would open up strong cross-selling opportunities and is expected to immediately enhance its financial performance. The deal is projected to boost earnings per share by 4 per cent in 2026 and by 7 per cent in 2027 once synergies are realised.To fund the acquisition and assume WNS’s existing debt, Capgemini has secured €4 billion ($4.7 billion) in bridge financing, it said in a joint statement with WNS. The transaction reflects a broader industry shift as companies move from AI-assisted automation to building AI-led autonomous operations.





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