Introduction

As generative AI has grown from a fledgling concept to a force disrupting most industries, its broader implications have come under scrutiny. Public perception of generative AI has also evolved significantly due to its association with various Environmental, Social, and Governance (ESG) factors. In this article, we’ll offer an extensive ESG analysis of generative AI, focusing on how different industries react to it, the ESG risks it potentially fuels, and the ESG positive impact events it has given rise to.

Generative AI: Public Perception Since Launch

Generative AI was initially met with widespread enthusiasm as the next evolutionary step in artificial intelligence. OpenAI's ChatGPT garnered significant attention quickly upon its release in 2022, as it amassed 100 million monthly active users in just two months post-launch. However, as its capabilities have become more powerful and universal, many ESG controversies have emerged, impacting the public sentiment towards the technology. A notable drop in sentiment polarity was observed from October to December of ‘22, going from 0.4 to 0.22. The decline in polarity was attributed to some critical topics, notably the environmental toll of its energy consumption and the ethical difficulties posed by its potential to disseminate false information.

* Polarity, a proprietary metric developed by SESAMm,  ranging from -1 to 1, represents the aggregate of positive and negative sentiment.

Generative AI and its Implications on ESG

In What Industries Is Generative AI Mentioned More Often?

As expected, the IT industry was initially the most mentioned, along with Generative AI. However, as the technology became more widespread, other sectors have garnered more attention among web publications and social media. In particular, the communication and finance sectors are capturing a substantial share of the attention. In particular, data privacy in finance and communications are the main concerns, and fraud for finance is also being widely discussed on the web.

ESG Controversies Fueled by Generative AI

When we looked at ESG controversies and risks in detail, we found that most of the attention and mentions are related to social risks, particularly Human Rights (right to privacy), labor rights, and customer relations (customer privacy). Governance has also gotten its fair share of ESG controversies, primarily focused on anticompetitive practices (copyright infringement). On the environmental side, controversies are concentrated on water consumption (by Gen AI tools) and climate change, specifically energy consumption. However, the number of mentions and controversies has decreased considerably.

Data Breaches: The Focal Point

By far, the lion's share of ESG controversies and mentions gravitate towards social risks, specifically data breaches. From Italy banning Chat GPT in April to Samsung’s alleged data leak in August, controversies around data privacy have been among the most concerning topics surrounding Chat GPT ESG risks. In just five months, mentions of data breaches went from virtually 0% to over 10% of total mentions.

Digging deeper into data breaches at companies, we found that the number of breaches did increase significantly after generative AI tools became available. In particular, we see that the number of internal (employees) vs. external (non-company affiliated) data breaches increased by almost 50% when using generative AI tools from 14% to 21%.

The Silver Lining: ESG Initiatives Generated by Generative AI

Despite all the risks and controversies emerging, generative AI is also an enabler of positive ESG initiatives. Interestingly, on the positive impact side, we see a similar volume of mentions of initiatives on the three ESG dimensions.

Generative AI has shown promise in optimizing energy use, reducing waste, and even modeling and mitigating the impacts of climate change. On the environmental side, we see a rapid increase in mentions related to its applications in efficiency and productivity, asset reliability, operational safety, lower energy consumption, and reduced environmental impact.

The technology also has the potential to revolutionize healthcare by enabling more accurate and early diagnosis, thereby contributing to social well-being. Generative AI could also transform web surfing and make it easier for users to navigate the internet and find or generate information.

Conclusion

As our analysis shows, generative AI is bringing unprecedented capabilities and complex ESG risks and controversies. We expect to see it evolving, with public sentiment shifting and industries grappling with its ESG implications. But we are still in the very early stages of this new trend and will continue monitoring its evolution.

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.

Sésame, ouvre-toi, or in English, open sesame, is the famous magical phrase that inspired us to name SESAMm 8 years ago today. And true to its name, since its inception, SESAMm has been opening doors to a new world of advanced analytics powered by natural language processing.

TRIVIA QUESTION: Why the unusual spelling of SESAMm? (Read until the end for the answer.)

Our heritage

Unlike the phrase’s magical nature in the “Ali Baba and the Forty Thieves” story, SESAMm relies on technology to open doors and uncover hidden treasures. And that has been our goal since we started the company in April 2014. Pierre Rinaldi, Florian Aubry, and I saw the vast amount of textual information available on the web, from news websites to NGO reports and social media. We set out to find a way to translate all that information into powerful, digestible, and actionable insights. In eight years, we’ve created the most extensive data lake in the industry that relies not only on social media but also on forums, review sites, and premium data. Today, the data lake comprises nearly 20 billion articles and grows by 20% year over year.

As we alluded to earlier, the real key to the treasure trove is the technology that uncovers and synthesizes all that data: artificial intelligence, particularly natural language processing (NLP). Our highly-talented technical team developed advanced algorithms to accurately “read” web articles and distill them into only the most relevant data for our users, received as signals and alerts.

In these eight years, we’ve been able to serve and work with some of the brightest minds in the industry who have trusted us with multiple challenges. Asset managers, private equity firms, and corporations leverage SESAMm’s products for investment strategies, deal sourcing, due diligence, portfolio monitoring, and ESG and positive impact indicators.

In particular, we’re using our technology to transform the ESG industry. For example, we help track controversies and monitor the positive impact for companies that no one else covers in the entire world.

Our team and values

As we proudly surpass the 100-employees mark soon, this is a good moment for us to pause and reflect on where we are and where we want to go. Our mission, to become the world’s reference for textual web data analysis, hasn’t changed. We’re more convinced than ever that we are on the right path to achieving that goal.

Our team collaborates between six different sites in 5 countries, many offices, and various cultures. As a deep-tech company, 70% of the group comprises PhDs, engineers, and developers. Moreover, they’re an amazing team that follows horizontal management and servant-leadership approaches, part of the culture we value and insist on.

To close SESAMm's first eight years on a high note, Forbes included me on their 30 under 30 list only a few weeks ago. In my eyes, that is a big recognition of the company and the work the team has done over the years.

Our future

More ESG. As we mentioned before, we want to transform the ESG industry. Currently, we cover a total of close to five million public and private firms. We aim to bring more transparency to the market and align with new regulatory frameworks in a fast-moving environment. By better analyzing companies, we believe we can help investors push for change. For example, to help monitor for positive impact and align with UN sustainable development goals (SDG), we’re launching a new product to systematically generate these types of alerts.

Of course, we want to bring these technologies to new clients, like:

• Private equity firms
• Quantitative asset managers
• High-yield portfolio managers
• Corporations to fuel their CSR strategy

From CSR teams looking to evaluate their clients and suppliers from an ESG perspective to central data and analytics teams wishing to generate custom NLP analytics at scale, SESAMm aims to become a central solution.

More importantly, we want to democratize NLP web data. This battle for good technology is our ultimate goal because every large company will need to address this topic at one point or another. So when it’s your turn, we want to be there to make it easier for you to achieve tangible results.

And last but not least, as a fintech company, we set our goals and ambitions on higher grounds whenever we complete a funding round. Our Series B with major private equity firm The Carlyle Group (CG) and New Alpha, a Paris-based fintech VC, was a significant step up. And the more we scale, the bigger we see the potential to apply our tools within existing or new fields, industries, use cases, and countries. This step-up naturally inspires us to plan for new ways to grow, whether with new services or reflecting on the potential of an upcoming funding round.

Our appreciation

Thank you. Without you, we wouldn’t be here. Special thanks to the SESAMm team. To our investors, The Carlyle Group, New Alpha, Havenrock, Caisse d’Epargne, AngelSquare, and more. To our partners and all who have supported us along this journey. And most of all, thank you, our clients. Because of you all, we have grown from a small-city-of-Metz team into an international company.

Cheers to you, us, and our future. Happy 8th anniversary, SESAMm!🥂

Oh, right! The trivia question! Here’s the answer.
SESAMm is an acronym for:

• Stock
• Exchange
• Statistical
• Analysis
• Mechanism

The “Mm” in SESAMm hints at the French pronunciation of sésame. But mostly, we used the small m from the word Mechanism instead of an e to guarantee that the URL would be available.

Recently, SESAMm sat down with ClimateAction to discuss the evoloving ESG regularlatory landscape and its impact on businesses and investors alike. Below we’ve gathered key takeawyas from that discussion.

Addressing ESG Challenges

Organizations are facing the challenge of managing a broad range of ESG-related risks while adapting to new legal requirements. These include tracking greenhouse gas emissions, monitoring labor practices, and ensuring board diversity, all while meeting the expectations of multiple stakeholders, including shareholders, employees, governments, and communities.

Frameworks like the Organisation for Economic Co-operation and Development (OECD) guidelines, the UN Global Compact, and the International Labour Organization conventions provide a foundation for best practices in these areas. However, implementing these standards effectively requires companies to go beyond compliance and actively engage with stakeholder feedback.

The Role of ESG Data and Stakeholder Insights

Companies and investors are increasingly shifting to robust data sources to craft effective ESG strategies. ESG data collection now includes not only internal metrics, such as workplace safety statistics and environmental performance indicators but also external stakeholder perspectives. These insights, drawn from media coverage, social media sentiment, and reports from non-governmental organizations, provide a more comprehensive understanding of a company's impact and reputation.
For investors, this information is necessary for assessing risks and opportunities in their portfolios. By integrating external feedback into their analyses, investors can better align their strategies with regulatory demands and societal expectations.

Leveraging Advanced Technologies in ESG Monitoring

Artificial intelligence (AI) and natural language processing (NLP) technologies have emerged as effective tools for ESG monitoring and reporting. These technologies can analyze vast amounts of data from diverse sources, including news articles, social media posts, and corporate reports, to identify potential ESG controversies and risks.

The benefits of AI-driven ESG analysis are particularly evident in sectors with limited traditional data, such as private equity. By expanding coverage to include smaller or less transparent companies, AI enables investors to gain deeper insights into their portfolios.

Furthermore, advances in AI, particularly large language models, have enhanced the ability to detect and analyze a wider range of events that might impact a company's ESG performance. This capability helps address one of the primary limitations of ESG reporting—reliance on self-reported data, which may not fully capture a company's real-world impact.

Preparing for the Future

As ESG regulations become more stringent and stakeholder expectations rise, businesses and investors must adopt proactive strategies. By leveraging advanced technologies and comprehensive data sources, they can better manage ESG risks and align with regulatory requirements. This approach not only ensures compliance but also enhances reputation and long-term sustainability, positioning organizations to thrive in an increasingly ESG-focused world.

The integration of stakeholder feedback into ESG assessments represents a significant shift in how organizations view their responsibilities. By combining traditional metrics with innovative technologies, companies, and investors can build strategies that reflect both regulatory priorities and societal values. This holistic approach is essential for navigating the complex and rapidly changing ESG landscape.

Access the full interview here.

Reach out to SESAMm

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.