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November 11, 2022, FTX, a $32 billion cryptocurrency exchange company that many believed would “change the world,” filed for bankruptcy. This news shook the crypto and financial communities, compelling many to debate the future of the crypto market and its platforms.

How did FTX collapse?

You could say that FTX’s collapse began before the news broke, but here’s a summary of events as The New York Times and ABC News details:

Breaking news

In early November, CoinDesk, a crypto publication, broke the news on a leaked document from FTX. The balance sheet showed that the hedge fund run by Sam Bankman-Fried (SBF), Alameda Research, held a substantial amount of FTT tokens. In short, SBF had set up Alameda (his trading firm) and FTX (his exchange firm) in such a way that if one unit experienced trouble, such as dropping cryptocurrency prices, the other experienced it, too.

First domino falls

By the way, FTT is used for various functions, including traders’ payment of operation fees. Also, by the way, Changpeng Zhao, Binance’s Chief Executive, sold his stake in FTX to SBF in 2021, partially with FTT. So, “due to recent revelations,” Binance (Zhao) announced on November 6, 2022, that it would sell its FTT tokens.

Other dominos follow

Traders responded; they hurried to pull funds out of FTX out of fear, and FTT’s price fell. Meanwhile, FTX processed withdrawal requests over three days, amounting to an estimated $6 billion. The liquidity crunch was upon it.

Then, on November 8, Binance said it would bail out FTX. But on November 9, Binance backtracked and announced in a Tweet that it would not “as a result of corporate due diligence,” while also citing regulatory investigations and reports of mishandled funds.

Things get worse

The next day, November 10, the Securities Commission of the Bahamas froze FTX’s assets, citing the public statement about potentially “mishandled” and “mismanaged” customer funds. On November 11, FTX filed for Chapter 11 bankruptcy protections, and SBF resigned as CEO. John J. Ray III—famously known as the CEO who headed the infamously known energy company, Enron, through its collapse in the 2000s—replaced SBF on November 17.

Fallout

Today, FTX faces federal investigation for securities laws violations based on a report by The Wall Street Journal regarding FTX lending customer deposits to Alameda Research for liabilities, of which the company’s top executives were aware. Investors have suffered loss, traders have suffered loss, and the greater crypto community and regulators are asking questions.

FTX and SBF web data analysis

News about FTX’s collapse generated tons of web data for us to scour. With this data, here’s what we aimed to find out:

• How did the public web react to FTX’s collapse?
• Could we have seen red flags before the news broke?
• What was FTX’s collapse’s effect on the cryptocurrency market’s sentiment?
• Is it possible to evaluate cryptocurrency exchange companies’ ESG risks and opportunities?
• Was FTX’s collapse unprecedented? If not, what does web data tell us about that?

FTX and Sam Bankman-Fried mentions analysis

Web public sentiment for FTX and SBF was consistently positive until Q1 of 2022. As mentions volume increased, their sentiment polarity decreased (Figure 1). The mentions spike for both in November when CoinDesk broke the news. Likewise, polarity dips into the negative range for both.

Definition: Polarity represents the aggregate of positive and negative sentiments (opinions or reviews) on a company. A 0 score means there is as much positive as negative sentiment expressed. The dotted and dashed lines represent sentiment in the following charts.

Looking closer at Q1 (Figure 2), we find that mentions affecting sentiment increased for FTX and SBF during this period. What are the mentions about, and why did they affect polarity negatively?

It turns out that SBF is linked to other keywords—we call these co-mentions—and between January 2022 and November 2022, SBF/withdrawal co-mentions (Figure 3) spiked in July when SBF defended Terra Luna’s founder, who was accused of peddling a Ponzi scheme.

If withdrawal co-mentions brought up possible reasons why SBF and FTX experienced dips in sentiment, what other co-mentions could give us more insight? How about donations, SEC, and U.S. elections?

Bankman-Fried has exhibited patterns of making political statements, attempting to influence crypto regulations, and donating funds before elections. It should be no surprise that SBF’s co-mentions with C-level unethical practices yield additional data.

Note: To see the co-mentions with unethical practices chart, contact a SESAMm representative today.

Sam Bankman-Fried ESG risk analysis

Corporate governance stands out when evaluating SBF’s ESG risks, but his social risks are nothing to ignore either.

Two areas of governance risks to note are money laundering and board of directors (Figure 5). Money laundering as a co-mention has been an issue as early as February 2022, but it became a bigger issue in October. These risks may be popping up due to allegations of manipulating the price of the APT token and a securities violations probe.

Note: To see the social risks over time chart, contact a SESAMm representative today.

FTX and crypto market web data analysis

If you’ve read this far, you by now get an impression of FTX and SBF, from mention volume to sentiment analysis and ESG risk. But how did FTX’s collapse affect the overall cryptocurrency market? Let’s find out.

In comparing the sentiment polarities for FTX and the crypto market from January 2021 through November 2022 (Figure 6), the sentiment for crypto remains relatively steady despite FTX’s sentiment taking a hit.

When comparing other cryptocurrency exchanges to FTX (Figure 7), sentiment polarity for them is hardly affected, except Binance, because of its connection with FTX. Oddly enough, eToro experienced a boost in sentiment, possibly because of its core values around openness and transparency, the fact that they’ve been around since 2007, its early compliance with regulations (i.e., AMF, FCA, ASIC, BaFin, and ACPR), and that it also proposes investing in stocks and ETFs, a contrast to most other crypto market exchanges. Bitfinex has its own issues, so its dip in sentiment might not be correlated.

At this time, FTX’s ESG risks based on the mention volume are only surpassed by Bitfinex (Figure 8), which its risks are based on many other reasons we won’t get into in this article.

Note: To see a comparison chart of social and governance risks for each exchange, contact a SESAMm representative today.

Centralized vs. decentralized crypto exchange platforms

FTX’s collapse also affected sentiment around the centralized vs. decentralized debate. Since October 2022, sentiment for centralized exchange platforms, such as FTX and its competitors, has fallen (Figure 9).

Likewise, the mention volume for self-custody has more than doubled in the last couple of months (Figure 10). Although centralized platforms offer quicker and easier access to crypto trading, traders are considering complex but more secure options such as crypto wallets and keys because, like banks, centralized exchanges can do what they will with cryptocurrency while it’s in their possession. With self-custody, owners are in control.

Note: To see additional charts, such as competitive data share for crypto wallets, contact a SESAMm representative today.

FTX not the first exchange collapse

Believe it or not, FTX was not the first crypto exchange to collapse. In 2014, Mt. Gox—the biggest crypto exchange at the time—lost half a billion dollars worth of Bitcoin due to a hack. How did Mt. Gox’s collapse affect sentiment for the crypto market then? The short answer is: It didn’t.

Figure 11 shows that while Mt. Gox’s sentiment polarity fluctuated, even reaching negative territories, the sentiment for the crypto market remained relatively stable and positive.

Is FTX’s collapse a warning for investors?

Our analysis is that investors should treat cryptocurrency exchanges like any investment opportunity. Do your due diligence and monitor your portfolio with tools like SESAMm’s TextReveal®.

As for the cryptocurrency market, data shows that sentiment for it remains level and positive. We speculate that cryptocurrency and centralized exchanges are here to stay. However, based on historical data and current news, we suspect conversations about crypto regulations to increase.

Reach out to SESAMm

For a deeper analysis of FTX’s collapse and access to all charts and supportive-article links, reach out to a representative today.

Corporate responsibility and sustainability are not just buzzwords anymore but integral aspects of business strategy. The importance of Environmental, Social, and Governance (ESG) compliance cannot be overstated. With the introduction of stringent and complex regulations like the CS3D, corporations face an unprecedented challenge in aligning their operations with these evolving standards. This is where Artificial Intelligence (AI) steps in, offering not just a solution but a transformative approach to staying ahead in the ESG compliance game.

The New ESG Compliance Challenge: CS3D Regulation and Beyond

The CS3D regulation marks a pivotal change in the corporate world, demanding greater diligence and transparency in sustainability practices. This regulation encompasses a broad spectrum of ESG aspects, from environmental impact to social responsibility and governance standards. It necessitates a comprehensive approach to due diligence, extending beyond the corporation to its entire supply chain. This means every partner, supplier, and stakeholder must align with these stringent standards, complicating compliance efforts.

However, CS3D is just the tip of the iceberg. Other regulations like the EU Green Taxonomy and the German Supply Chain Law further add layers to this complex regulatory tapestry. Each of these regulations brings its own set of challenges and nuances, making it increasingly difficult for corporations to keep pace using traditional compliance methods.

Understanding CS3D in Depth

Delving deeper into the CS3D regulation, it's clear that its impact is far-reaching. Corporations are now required to ensure their practices are sustainable and ethical and verify that their suppliers and partners adhere to similar standards. This means conducting thorough audits, maintaining a high level of transparency, and being accountable for the entire supply chain's ESG impact. The regulation also demands regular reporting and public disclosure of these practices, adding another layer of complexity to compliance.

Broader ESG Regulatory Landscape

While focusing on CS3D, it's essential to understand its place within the broader ESG regulatory landscape. Regulations like the EU Green Taxonomy, which classifies sustainable activities and investments, and the German Supply Chain Law, which focuses on human rights and environmental standards in supply chains, complement CS3D's objectives. Together, they create a comprehensive framework that guides corporations toward more ethical, sustainable, and socially responsible business practices.

AI: A Game-Changer in ESG Compliance

The advent of AI technologies has opened new avenues for corporations to manage their ESG compliance needs effectively. AI's capability to process vast amounts of data, identify patterns, and predict outcomes is invaluable in navigating the complexities of ESG regulations.

Real-Time Controversy and Reputational Risk Monitoring

One of the most significant advantages of AI in ESG compliance is its ability to monitor and analyze textual data in real-time. This is crucial in the context of regulations like CS3D, where ongoing vigilance is necessary. AI algorithms can sift through vast amounts of text data from various sources – news, reports, social media, etc., to identify potential controversies and non-compliance issues. This proactive approach enables corporations to address issues before they escalate, ensuring continuous alignment with regulatory standards.

Enhanced Supply Chain Management

Another critical area where AI makes a significant impact is in supply chain management. Under regulations like CS3D, corporations must ensure that their entire supply chain complies with ESG standards. AI-driven tools can analyze supplier data, audit reports, and other relevant information to provide a comprehensive view of the supply chain's compliance status. This helps identify potential risks, assess supplier performance, and make informed decisions about partnerships and procurement strategies.

Case Studies and Success Stories

Illustrating the power of AI in ESG compliance, several corporations have successfully leveraged these technologies to meet regulatory requirements. For instance, a leading multinational company used AI-driven analytics to monitor its global supply chain, ensuring compliance with CS3D and other ESG regulations. The AI system provided real-time insights into supplier practices, flagged potential risks, and enabled the company to take proactive measures to maintain compliance.

SESAMm: Pioneering AI-Driven ESG Compliance

At SESAMm, we specialize in providing AI-powered solutions tailored to the unique challenges of ESG compliance. Our flagship product, TextReveal, is a testament to our commitment to innovation in this field.

SESAMm utilizes advanced natural language processing and machine learning algorithms to analyze unstructured data from multiple sources. It provides actionable insights that help corporations monitor ESG risks, understand regulatory changes, and maintain compliance. By leveraging TextReveal, corporations can:

• Continuously monitor global news, social media, and other data sources for ESG-related risks and opportunities.
• Conduct thorough sentiment analysis and trend forecasting to anticipate potential compliance issues.
• Gain a deeper understanding of the ESG landscape and the evolving regulatory requirements.

Partnering for Success

Our partnership with leading corporations and financial institutions exemplifies the effectiveness of our AI-driven approach. By collaborating with SESAMm, these organizations have enhanced their ESG compliance strategies, effectively navigated the regulatory landscape, and made more informed decisions.

Staying ahead of the curve in the rapidly evolving world of ESG compliance is not just about meeting regulatory requirements – it's about leading the way in corporate responsibility and sustainability. AI technologies, with their unparalleled capabilities in data analysis and predictive insights, are the key to this leadership.

As pioneers in AI-driven ESG compliance solutions, SESAMm is committed to helping corporations navigate these challenges. Our innovative tools and expertise are designed to empower you to meet and exceed regulatory standards confidently. We invite you to explore the potential of AI in transforming your ESG compliance strategy and join us in shaping a more sustainable, ethical, and compliant corporate future.

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.

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.

OpenAI: Navigating Copyright Infringement and Regulatory Scrutiny

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.

Key Controversies:

• Copyright infringement lawsuits from The New York Times, ANI, Major Canadian Media Outlets, etc.
• Concerns over carbon footprint
• FTC launches inquiry into Microsoft's OpenAI partnership
• Cyberattacks on ChatGPT
• OpenAI insiders warn of serious risks and call for whistleblower protections
• US Space Force halts ChatGPT use over data security concerns

Anthropic: Balancing Ethical AI Practices with Data Privacy Challenges

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.

Key Controversies:

• Anthropic's ethical AI stance under scrutiny over military ties
• Anthropic accused of bypassing website anti-scraping rules
• UK launches probe into Google’s investment in Anthropic
• A call for stronger whistleblower protections
• Anthropic confirms data leak incident
• FTC investigation for anti-competitive practices

Microsoft AI: Facing Antitrust and Intellectual Property Controversies

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.  

Key Controversies:

• US regulators investigate Microsoft, OpenAI, and Nvidia over antitrust concerns
• US FTC probes Microsoft's cloud and AI practices
• Elon Musk adds Microsoft to his lawsuit against ChatGPT
• UK investigates Microsoft over AI startup hires
• Chicago Tribune, NYT sue OpenAI and Microsoft over copyright infringement
• Microsoft and Amazon face UK scrutiny over AI deals

DeepSeek: Data Privacy and Ethical Use in AI-Powered Discovery

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.

Key Controversies:

• DeepSeek disrupts OpenAI
• Australia bans DeepSeek on government devices
• South Korea says DeepSeek sends user data to TikTok
• India's finance ministry asks employees to avoid AI tools like ChatGPT, DeepSeek
• French privacy watchdog to quiz DeepSeek on AI
• China's new AI app DeepSeek is trying to erase our genocide from history, Uyghurs warn

Mistral AI: Open-Source Development and Accountability in AI Systems

Mistral AI, a French AI startup, has been hit with data privacy and cybersecurity controversies, anti-competitive practices, and senior management issues.

Key Controversies:

• Mistral AI singled out for its poor management of personal data
• Microsoft's Partnership with Mistral AI Under Scrutiny by Green MEPs
• The former Secretary of State for Digital Affairs Cédric O is still controversial with his “Mistral gagnant”

Conclusion

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.

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.