Ebook: Unmasking Greenwashing: How to Identify Genuine and Deceiving Sustainability Initiatives with AI
November 15, 2023
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5 mins read
In our latest research, “Unmasking Greenwashing with AI” our ESG and Research & Analytics teams provide a comprehensive analysis of greenwashing trends using AI-powered text analysis.
Notable increase in mentions of greenwashing, with a 3.3x rise since 2021.
This increase suggests both a real growth in deceptive sustainability practices and a rise in public awareness.
Greenwashing represents 55% of all reputational laundering, underscoring a major shift towards environmental deception.
Surge in climate lawsuits with over 3x increase in climate change lawsuits since 2020, highlighting legal risks for misleading practices
It underscores the financial sector’s dual role in both contributing to and fighting against greenwashing through its investment practices
The private markets secondaries space has entered a new chapter. What was once a niche corner of alternative investments, used primarily by limited partners (LPs) seeking early exits from fund commitments, has grown into one of the most dynamic segments of global private capital. The market has tripled in size since 2019 and grown by approximately 50% between 2024 and 2025 alone, reaching an estimated $230 billion in annual transaction volume and now representing around 5% of all global private equity assets under management.
This piece examines the forces behind that expansion, the structural shifts redefining the market, and the operational and regulatory challenges participants will need to navigate as the asset class continues to scale.
Market Growth and Shifting Deal Dynamics
Several converging factors have driven the secondaries market to its current size. A prolonged slowdown in IPO activity and traditional exits has created a liquidity bottleneck across private markets, leaving many LPs over-allocated to alternatives and constrained in their ability to make new commitments. The secondary market has become a primary mechanism for these investors to rebalance portfolios and free up capital.
Deal structuring has grown more sophisticated in step with market volumes. Ropes & Gray has observed a continued expansion in the use of purchase price deferrals and earnouts, and more recently, the introduction of deal-specific funding caps, limits on how much capital a buyer can be called to deploy before a specified date. These mechanisms allow sellers to achieve higher reference-date pricing while enabling buyers to manage capital deployment pacing and portfolio composition. In Q1 2026 alone, institutions initiated new secondary sales processes totaling north of $20 billion, some linked to denominator effect concerns as declines in public market portfolios pushed private allocations above target levels. Whether this proves a sustained driver of supply will depend on how institutional portfolios weather current market conditions.
The Three Transaction Types
Secondary transactions fall into three main categories:
LP-led transactions, the original form, involve an LP selling existing fund interests, sometimes across a broad portfolio of hundreds of positions, typically through competitive auction processes with tight timelines.
GP-led continuation funds, the fastest-growing segment, involve a sponsor transferring select assets into a new vehicle, giving existing LPs the option to cash out or roll forward. As of 2025, GP-led and LP-led volumes are roughly evenly split at around $115 billion each. GP-led buyout fund volume grew 39% year-over-year, while private credit secondaries saw nearly 300% year-over-year growth in GP-led activity.
The third category, structured solutions, provides capital to a GP collateralized by existing fund assets and can take a wide variety of bespoke forms.
What Are the Operational and ESG Challenges in the Market?
One of the defining challenges in secondaries is the speed and scale of due diligence required, particularly in LP-led transactions. Buyers may need to evaluate hundreds, or in private credit secondaries, over a thousand, underlying positions with limited information and within windows of 24 to 48 hours. As Jessica Huang, Managing Director and ESG lead for private equity and secondaries at Ares Management, noted in a recent webinar:
Against this backdrop, LP expectations around ESG integration have risen sharply. LPs are now holding secondaries to a standard closer to that applied to direct investments, with requests for Article 8-classified funds, look-through exclusion lists, and UN Global Compact compliance screening becoming more common. Main exclusion categories include fossil fuels, controversial weapons, tobacco, and gambling, though definitions and revenue thresholds vary significantly across mandates. SFDR 2.0, currently in draft form, may introduce additional mandatory exclusion categories that managers are monitoring closely. In LP-led deals where buyers are inheriting a broad portfolio of assets, highly granular opt-outs can mean missing certain large transactions, a trade-off that must be clearly communicated to LPs.
The Role of Technology and AI
Technology has become central to the scaling of secondaries operations. AI tools are now applied across controversy screening, ESG data analysis, and emissions estimation, where direct disclosures are unavailable. A particular challenge in the asset class is coverage: many underlying companies are small or mid-market private businesses not captured in conventional databases.
Market participants consistently emphasize that AI outputs serve as inputs to human judgment, not as replacements for it. At Ares, screening results are reviewed by ESG specialists before being passed to deal teams for final decisions.
What the Future Holds
Transaction volumes are forecast to continue rising as both the seller and buyer universes expand. Private credit, infrastructure, and structured secondaries all represent areas of growing specialization and regional expansion, particularly in Asia, where secondary activity has been limited but is expected to grow as investment programs mature, broadening the market further. Capital supply dynamics bear watching: while dry powder remains substantial, deal volume growth has outpaced fundraising since 2023, which could create pricing or capital constraints. The entry of retail investors through evergreen vehicles adds a meaningful new source of capital but brings different liquidity expectations and regulatory considerations.
On the operational side, the sophistication of deal terms, the complexity of ESG compliance, and the volume of data processed per transaction are all increasing. Firms that can integrate technology into their diligence and monitoring workflows, while preserving the human judgment layer, will be best positioned to manage market growth. Secondaries are no longer a supplementary liquidity tool; they have become a structural feature of how private markets operate.
In a recent interview, Jose Salas, Head of Partnerships and Strategy at SESAMm, alongside Kiet Tran and Kat Tatochenko, shared how SESAMm is transforming the landscape of AI-powered text analysis. SESAMm excels in extracting valuable insights from diverse data sources, addressing key issues like ESG controversies and SDG impacts for clients, which include private equity firms and financial institutions.
Salas highlighted SESAMm's distinct approach to technology, emphasizing its role in identifying risks and opportunities for investors. The company's future plans involve embracing generative AI to refine our data analysis further, promising even sharper insights for our clients. SESAMm's innovative strategies demonstrate our commitment to turning complex data into actionable intelligence, paving the way for smarter investment decisions in the financial sector.
Watch the full interview here:
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
Over the past decade, many organizations have improved their carbon footprints, from recyclable and biodegradable packaging and single-use plastic to planting trees and reducing their greenhouse gas emissions. However, some businesses and companies looking to boost their eco-friendly image without committing to serious changes and addressing environmental issues have been associated with false green marketing. We call this "Greenwashing."
Defining Concepts
What is Greenwashing?
Greenwashing is a practice used by businesses to represent themselves as more sustainable than they truly are. Greenpeace and the Environmental Protection Agency define greenwashing as making false and misleading claims about a product's environmental benefits or practices, services, technology, or company practices. Greenwashing typically involves companies spending more money on advertising and marketing than on implementing sustainable business practices that minimize environmental impact. These false green claims can deceive consumers into believing that a product or company is more environmentally friendly than it is, leading to increased sales and profits. As a result, false advertising, misleading initiatives, and groundless claims have increased green investors' exposure to risks emerging from potential lawsuits from activist groups, image deterioration, and heavy losses in assets invested.
Greenwashing Mentions Over Time
In recent years, new concepts have emerged alongside greenwashing:
Greenwashing, Greenhushing, and Greenwishing Mentions Over Time
Greenhushing refers to a company’s refusal to publicize ESG information. The company may fear pushback from stakeholders who would find its sustainability efforts lacking or from investors who believe ESG undermines returns.
Greenwishing, or unintentional greenwashing, describes a practice where a company hopes to meet certain sustainability commitments but simply does not have the means to do so.
High-Profile Greenwashing Case Studies
When talking about greenwashing, the usual suspects are the oil and gas industry, the food and beverage sector, and other environmentally impactful industries. However, the financial industry has also been embroiled in its own greenwashing controversies.
It’s challenging to produce an accurate assessment of environmental, social, and governance (ESG) factors, which creates opportunities for companies to hide ineffective and fake green initiatives. According to Regtank, the main challenges to detecting greenwashing include:
Lack of reporting standards – There’s no universal set of standards for ESG compliance.
Lack of transparency – Companies often don’t disclose the specifics of their “green campaigns,” making it hard for investors and consumers to verify their claims.
Limited consumer awareness – Misleading marketing can exploit consumers’ eco-consciousness and brand loyalty, reducing scrutiny of false green claims.
These gaps lead to inaccurate ESG data and scores, allowing greenwashers to avoid accountability. Ultimately, detecting greenwashing requires careful scrutiny of company claims and a deep understanding of their supply chains and operations.
How Artificial Intelligence Detects Greenwashing
As greenwashing practices become more common, activist investors, journalists, and the general public are using social media, news outlets, and blogs to highlight false claims. Artificial intelligence (AI) has become an invaluable tool in the early detection of greenwashing by analyzing vast amounts of public data.
At SESAMm, we use generative AI and LLMs to identify greenwashing risks across billions of web-based articles. Our data lake covers over 25 billion articles in more than 100 languages from four million news sources, blogs, social media platforms, and forums, analyzing data on five million public and private companies. Through our AI platform, we generate reliable, timely, and comprehensive insights to detect greenwashing, monitor ESG controversies, and identify related risks.
The CSRD significantly strengthens the requirements for companies to substantiate their sustainability commitments. Mandating standardized and detailed ESG disclosures directly addresses the practice of greenwashing, where companies exaggerate their environmental credentials in marketing without meaningful follow-through. Under the CSRD, companies can no longer rely on vague or selectively presented data—any gaps or inconsistencies in their sustainability claims will be exposed in public filings, making greenwashing much riskier. This means an end to cherry-picked data and a shift toward more comprehensive, comparable, and verifiable ESG performance for investors and stakeholders.
The CSDDD (if it stands) further reinforces these efforts by obligating companies to go beyond marketing statements and prove they’re actively managing environmental and human rights impacts throughout their supply chains. This directive closes loopholes that greenwashing often exploits, such as highlighting only direct operations while ignoring supplier practices. By requiring due diligence on environmental impacts across the value chain, the CSDDD aims to turn sustainability from a branding exercise into a legal and operational priority. If real supply chain actions don’t support a company’s green claims, it could face legal action and reputational damage.
Looking Ahead
Looking ahead, greenwashing will continue to face intense scrutiny from regulators, investors, and the public. With evolving regulatory frameworks like CSRD and CSDDD, the pressure is on for companies to ensure genuine environmental responsibility—not just green advertising. At SESAMm, we believe that the combination of regulatory rigor and advanced AI technologies will play a critical role in uncovering false green claims and supporting investors in navigating ESG risks with greater transparency and accountability.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
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