Watch CEO Sylvain Forté discuss SESAMm’s solutions for corporations focused on supply chain and client reputational risk monitoring during an interview with FF News at FinovateEurope last March.
Watch the full recording:
Watch CEO Sylvain Forté discuss SESAMm’s solutions for corporations focused on supply chain and client reputational risk monitoring during an interview with FF News at FinovateEurope last March.
Watch the full recording:
As regulatory demands grow and ESG expectations evolve, financial institutions face a critical question: Is sustainability compliance merely a cost center or can it drive measurable financial and competitive advantages?
Watch this on-demand webinar to hear Gwen Safa, Global Head of Sustainable Corporate Solutions at Barclays Investment Bank, and Sylvain Forté, CEO of SESAMm, offer actionable insights on transforming ESG challenges into strategic opportunities.
Together, they unpack:
Whether you're managing risk, sourcing deals, or building client trust, this session offers a candid look at the shifting role of ESG and what it means for the future of finance.
Generative Artificial Intelligence has burst onto the scene, bringing with it significant ESG challenges, particularly around data privacy, labor practices, and corporate governance.
A major issue is the source of AI training data, with lawsuits against OpenAI, Anthropic, and Google DeepMind over alleged copyright violations. Global regulatory bodies are also investigating AI companies for anti-competitive behavior and privacy breaches.
Concerns over transparency in AI and the spread of misinformation continue to grow, with AI models accused of generating false or biased content. Additionally, worries about cybersecurity vulnerabilities, such as data leaks and hacking risks, have further fueled scrutiny. Labor and working conditions also remain a concern in the industry, with reports of low wages and weak protections, while whistleblowers call for better safeguards and highlight governance instability.
What does the GenAI landscape look like for ESG issues? Read on to find out.
As a leader in Gen AI, OpenAI has faced increasing scrutiny over ESG issues, particularly copyright infringement. It has been sued by major news outlets, publishers, and music labels for allegedly using copyrighted content without permission to train its AI models. Beyond copyright concerns, OpenAI has been fined for privacy violations and is under regulatory scrutiny, including antitrust investigations in the U.S. and Europe. Data security risks, working conditions for AI data workers, and internal governance challenges—such as whistleblower concerns and executive upheaval—have also drawn criticism.
Despite lower volumes of ESG controversies, Anthropic still faces scrutiny over data privacy, ethical AI, and corporate governance. The company has been sued for allegedly using copyrighted material in AI training and accused of bypassing anti-scraping rules. Security concerns grew after vulnerabilities in its Claude AI model and a confirmed data leak. Its ethical AI stance has also been questioned over reported military ties. Meanwhile, former employees have called for stronger whistleblower protections, highlighting transparency and accountability concerns.
Microsoft's AI controversies have grown into serious legal challenges from 2023 to 2025. The company faces lawsuits over its Copilot chatbot, raising intellectual property concerns. Ongoing antitrust inquiries are examining Microsoft’s AI partnerships, while publishers have filed copyright claims against the company. With investigations by U.S. regulators, the EU, and UK watchdogs, scrutiny has intensified globally. Microsoft’s hiring practices have also come under fire, particularly its recruitment of key talent from AI startups, raising concerns over potential anti-competitive behavior.
Although relatively new, DeepSeek has been the center of attention for the past few months. It has been involved in anti-competitive practices scandals over its disruption of OpenAI and issues linked to data privacy and cybersecurity. Countries like Australia, South Korea, France, and India have criticized and, in some instances, banned the AI platform. Additionally, DeepSeek has been questioned about its supply chain and forced labor practices.
Mistral AI, a French AI startup, has been hit with data privacy and cybersecurity controversies, anti-competitive practices, and senior management issues.
The rise of Gen AI has come with significant ESG challenges. Its major players, like OpenAI, Anthropic, and Microsoft, face issues such as copyright infringements, privacy violations, labor practices, and environmental impacts. As regulators step up their investigations, these firms will have to focus on transparency, ethical practices, and sustainability or risk additional controversies.
TextReveal’s web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or to request a demo, reach out to one of our representatives.
Summer is almost over for us in the northern hemisphere. (We know. It's sad for us, too.) And with this seasonal shift comes back-to-school and back-to-work activities, including taking a last-minute vacation. And vacations mean time for reading, right?
While they may not be beach reads, we think we have some great choices. These are the posts that have been most popular on SESAMm's blog in the past five months. Let's get started with SESAMm's most-read blog posts since this spring, starting with number 10.
Read this quick guide about what natural language processing is, how it’s used, why it's important to uncover financial alternative data. Bonus: Get an overview of how NLP works at SESAMm.
Review SESAMm's analysis based on its ready-to-use data streams, revealing red flags that support the decision to oust Tesla, Inc. from the S&P 500 ESG Index.
Read the takeaways of the current commercial real estate market we extracted using SESAMm’s NLP-powered engine to analyze web data.
Watch CEO Sylvain Forté at Japan Investor Forum, discussing ESG data, its challenges, and how to use AI and NLP to generate insights on millions of companies.
See how we apply our NLP capabilities to identify companies likely to engage in greenwashing practices by analyzing text in billions of web-based articles.
Based on alternative data, discover how Elon Musk’s personal and related brands measure up to public sentiment following his failed acquisition of Twitter.
Discover why SESAMm’s data lake is ideal for investment research and other basics like what a data lake is, why it’s important, what it does, and how it works.
Learn how SESAMm’s AI and NLP platform is used to gain financial and ESG insights from alternative data for systematic trading, fundamental research, and more.
Learn what SESAMm’s Knowledge Graph is, what it does, and how it’s used in text analysis for financial research, such as in private equity and hedge funds.
Tokio Marine & Nichido Fire Insurance Company and SESAMm work together to predict stock price movements using NLP-generated data from news and social media.
Thank you for reading through our Summer Roundup: the 10 most-read blog posts this year.
Which is your favorite? How would you rate these posts? Let us know what you think on Twitter or LinkedIn.
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