Artificial intelligence is no longer something to be considered in the future for private equity firms; it is there now to stay, for good or for bad. By 2025, AI would transform everything into private equity-from the sourcing of deals to working with portfolio companies.
A Paradigm Shift: Surge in AI Adoption and Investment
The great AI boom has touched the private markets; it has done so with unprecedented force. Deriving its name from AI, AI in Private Equity reached $109.1 billion in 2024 in the US, thereby placing it far higher than any other contributor across the globe. Give some perspective: This amount was almost 12 times that of China’s $9.3 billion and nearly 24 times that of the U.K. at $4.5 billion. Private financing in generative AI alone reached $33.9 billion in 2024, rising by 18.7% from 2023, representing over 20% of all private AI investments worldwide.

AI Adoption and Investment
This rush of capital speaks of growing belief that AI will bring change. This is an understandable state of affairs if we consider adoption numbers for enterprises: 78% of organizations would have integrated AI in some form by the end of 2024, up from just 55% a mere year before. Business use cases for generative AI surged in at least one way, almost doubling from 33% in 2023 to 71% in 2024.
For these changes, it makes it very compelling for PE firms to take AI forward as a firm strategic capability instead of just another tool for them.
Operational Efficiency and Strategic Gains: AI’s Impact Within PE Firms
Consulting firms have been visualizing for their clients how to orient their internal workings. In late 2024, 64% of firms then employed AI as part of their daily operations. Industry frontrunners like Blackstone have incorporated AI functionality in over 70 portfolio companies, enhancing various functions like dynamic pricing, staffing models, and operational performance tracking. AI is no longer just a productivity tool but a value driver itself. It is anticipated that by 2030, the U.S. private equity industry might prosper from the impact of AI by upwards of $406 billion, with increasing velocity and quality of decision-making seemingly taking precedence. Advanced machine learning models are now allowing these firms to wade through and interpret traditionally insurmountable volumes of both structured and unstructured data vis-vis conventional analytics.
The specific value proposition that consulting firms offer interfacing with their clients during this transition includes:
Designing AI transformation roadmaps
Integrating AI into core workflows like risk management and compliance.
Building scalable data architectures to support automation at scale.
Deal Sourcing and Due Diligence: Reinvented by AI
Historically, deal sourcing was dependent on personal networks, manual filtering, and long due diligence cycles. AI in Private Equity is changing this paradigm. AI-powered next-generation platforms are now able to sift through millions of public and private data points, pinpointing undervalued or high-growth targets with unprecedented accuracy and speed.
The payoff? Companies using AI for deal origination report finding 2–6 times as many deals while cutting down on time spent on low-potential opportunities. Natural language processing and predictive analytics allow these systems to search SEC filings, earnings calls, sentiment indicators, patent registries, and even social media discussions in real-time—something no human analyst could possibly do at scale.
Due diligence has also changed. AI in Private Equity now helps verify data from multiple sources, detect red flags in advance, and minimize human error. In high-stakes settings where the room for error is razor-thin, AI-powered due diligence substantially lowers acquisition risk.
Seven out of every ten PE CEOs consider AI in Private Equity adoption to be essential to remain competitive today, as significant change has occurred from voluntary innovation to strategic imperative.
Portfolio Management: AI for Value Creation and Predictive Control
Once an investment has been made, PE companies have the task of enhancing performance and achieving returns on their portfolio. Here too, there are new levels for value creation provided by AI.
Nearly 20% of portfolio companies operationalized use cases of generative AI as of late 2024, achieving real-world performance improvements, says Bain. The use cases cover demand forecasting, supply chain optimization, predicting customer churn, and marketing automation.
AI in Private Equity further drives real-time monitoring dashboards of portfolios that can surface anomalies, comparing performance, and providing predictive insights on a company or industry level. This allows PE managers to move from reactive to proactive intervention.
Consulting firms play an important role here. They assist in designing these monitoring systems, establishing early warning signs, and developing standard reporting frameworks that minimize delay time between the detection of issues and their solution.
During Q1 2024, AI in Private Equity startups saw between $52 billion and $73.1 billion in VC investment, accounting for 41–58% of worldwide VC investment. Private markets are providing exponentially more possibilities, with 24,500 AI in Private Equity companies versus only 727 public AI stocks—a ratio of investment of 33:1.
How Consulting Firms Can Drive AI Success in Private Equity
Though AI presents tremendous opportunity, realizing its value takes more than technology—it takes strategy, change management, and technical expertise. That’s where consulting firms are needed.

How Consulting Firms are Driving Al Success in PE
They support PE clients by:
Designing AI-Powered Platforms
From deal sourcing to diligence to monitoring, consultants can design end-to-end AI systems to fit a firm’s investment strategy and industry expertise.
Building Unified Data Ecosystems
Integration and quality of data tend to be the greatest impediments to successful AI. Consultants facilitate the development of scalable, secure, and compliant data models that drive analytics and automation.
Upskilling Talent
Most investment teams do not possess the technical skills in-house to implement AI in Private Equity. Consulting companies offer training programs, workshops, and playbooks to bridge the gap.
Driving Cultural and Organizational Change
Adoption of AI in Private Equity can encounter internal resistance. Consultants have an important role to play in leading changes. They also help in aligning leadership, and infusing AI into the DNA of the firm.
Services offered by magistral consulting for AI in Private Equity
Magistral Consulting provides a complete set of AI-powered services specifically designed for Private Equity (PE) companies. This helps in optimizing efficiency and decision-making in a range of investment processes. Their services combine sophisticated AI technologies with human intelligence to maximize deal sourcing, due diligence, portfolio management, and so on.
AI-Powered Deal Sourcing & Lead Generation
Magistral Consulting employs AI to screen big data sets and spot promising M&A and investment targets. Automation enhances deal flow quality and saves time on research.
AI-Enhanced Financial Modeling & Valuation
Our AI applications accelerate DCF, LBO, and comps modeling by automating data entry, forecasting, and sensitivity analysis—enhancing accuracy and speed.
AI-Driven Due Diligence & Risk Assessment
Magistral’s AI scans filings, reports, and market information to identify risks and produce due diligence insights in a timely manner, reducing time and expense.
AI-Enabled Market Research & Competitive Intelligence
AI applications track industries and competitors in real-time, delivering customized insights that inform wiser investment choices.
Automated Pitchbook & CIM Preparation
AI completes the process of creating pitchbooks, CIMs, and presentations, guaranteeing quick turnaround and consistency in investor materials.
AI in Private Equity -Augmented Equity & Credit Research
Magistral automates report generation on equity and credit, enabling analysts to cover more firms and emphasize in-depth insights.
AI-Backed Valuation Support
Our AI combines comparable and transactional data to provide real-time support with valuations, particularly effective in high-pressure deal situations.
AI-Powered Research Helpdesk
We provide ChatGPT-type AI bots for immediate access to internal data, reports, and models to enhance team productivity and decision-making.
AI-Driven Compliance Monitoring
Magistral’s AI keeps companies compliant by monitoring rule changes and automating surveillance, lowering legal and operational risk.
About Magistral Consulting
Magistral Consulting has helped multiple funds and companies in outsourcing operations activities. It has service offerings for Private Equity, Venture Capital, Family Offices, Investment Banks, Asset Managers, Hedge Funds, Financial Consultants, Real Estate, REITs, RE funds, Corporates, and Portfolio companies. Its functional expertise is around Deal origination, Deal Execution, Due Diligence, Financial Modelling, Portfolio Management, and Equity Research
For setting up an appointment with a Magistral representative visit www.magistralconsulting.com/contact
About the Author
The article is authored by the Marketing Department of Magistral Consulting. For any business inquiries, you can reach out to prabhash.choudhary@magistralconsulting.com
How are consulting firms assisting PE firms in AI adoption?
Consulting firms support PE clients through the creation of AI transformation strategies, the incorporation of AI in workflows such as compliance and risk management, developing scalable data systems, and overseeing change within portfolio companies.
How is AI enhancing deal sourcing and due diligence?
AI-based platforms automate the examination of large data sets, uncovering high-potential targets more quickly and reliably. They also improve due diligence by confirming data, marking risks for early attention, and streamlining time-wasting low potential opportunities.
How does AI support portfolio management and value creation?
AI allows for real-time tracking, predictive analysis, and automation across industries such as supply chains, marketing, and forecasting. Almost 20% of portfolio firms put generative AI into practice in 2024, leading to quantifiable improvements in performance.
What industries and geographies are witnessing the greatest AI-related PE activity?
North America, particularly the U.S., leads in AI investment. PE firms are targeting sectors like healthcare, manufacturing, and finance, while also investing in infrastructure like clean energy and data centers to support AI scalability.