Today, it's important to understand the complexities of supply chain regulations. This was the main topic of a recent SESAMm webinar, “Understanding Supply Chain Regulations: The Future Implications of CSDDD”, which explored the implications of the Corporate Sustainability Due Diligence Directive (CSDDD) and other important regulatory frameworks that affect global supply chains.

The webinar, led by SESAMm's CEO, Sylvain Forte, and ESG analyst Maha Chihaoui, explored the evolving landscape of ESG frameworks, laws, and regulations that influence supply chain operations. As businesses strive to enhance transparency, accountability, and ethical practices, they face a multitude of challenges and opportunities. The session highlighted how these initiatives could lead to substantial benefits such as environmental conservation, improved social conditions, and strengthened governance structures.

During the webinar, Maha Chihaoui emphasized the shift from non-binding guidelines to binding laws in the regulatory spectrum, signaling a more robust approach to enforcing corporate accountability and responsibility. Sylvain Forte also discussed the importance of moving beyond mere compliance to ensure genuine adherence to ESG principles, advocating for a systematic and continuous evaluation process to ensure businesses act on their promises.

The session also touched on real-life applications and challenges in implementing these frameworks. For example, the discussion included case studies on companies like Shein and Temu, highlighting how regulatory focus on supply chain controversies has increased visibility and accountability.

As regulatory frameworks around supply chains continue to evolve, the dialogue between various stakeholders—regulators, businesses, and the public—becomes crucial. SESAMm's webinar effectively shed light on these critical issues, offering insights and fostering a deeper understanding of the dynamic relationship between ESG initiatives and supply chain management.

Watch the webinar replay now:

Unlock a deeper understanding of supply chain regulations' complexities and future implications.

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The macroeconomic environment is moving quickly—inflationary pressures, war in Europe, political instability, and plenty of other topics to make a trader's head spin. While there’s an abundance of structured macro data, it's much more difficult to extract value from unstructured text on the web.

However, with the right partner and the right tools, it doesn't need to be difficult to rein in this complexity. But more on that later.

More data, more problems

We're obviously in the information age; we have more data within reach than ever before. And you'd think that more data would make it easier to find consistent relationships between the macro economy and price returns. The hard truth is that it doesn't.

Of course, you have access to comprehensive historical information, but developing economically intuitive and worthwhile systematic strategies from historical data alone is challenging. Despite having this data, it could still be incomplete, missing that bit of nuance for a theme you're examining.

Nowcasting for more complete, current data

Nowcasting—a contraction of the words now and forecasting—is the prediction of the present and the near future using data from the recent past as an economic indicator. Nowcasting models can be applied in real time as a proxy for official measures, such as monitoring the state of the economy, themes, or sectors: food, transportation, energy, and so on.

For example, you could look into what's being said about supply chain disruption for semiconductors. How is the topic trending across industries or the broader public? And how positively or negatively is that topic perceived over time? This information helps give financial data context and direction, a way to predict what happens next.
So where do you turn to for reliable, timely nowcasting data?

Nowcast-enhancing platform

At SESAMm, we have a flexible, adaptable, and modular platform to nowcast pretty much any macroeconomic theme: inflation, supply chains, unemployment, and everything in between. If you can gauge it, we can find data on it.

How do we do this? Our natural language processing (NLP) platform makes sense of all available news, articles, and forums on the web. Currently, there are more than 20 billion articles in our data lake, and it's growing by millions daily. And because we update our data lake multiple times a day, you can read nowcast macroeconomic indicators in near real time.

This flexible approach to building themes goes way beyond off-the-shelf sentiment feeds, and you can adapt to new, emerging factors on the fly.

Use case: inflation insights

With the TextReveal® API and Dashboards, you can generate custom proprietary inflation requests—or pull existing queries by country and sector—and use this data in your nowcasting models (Figure 1).

In this example extracted from our API (Figure 2), the number of sources mentioning inflation is relatively stable until 2021, when it starts to increase rapidly, in anticipation of actual inflation readings.

As you can see, you can track a topic and map it to various segments, creating a signal that accurately follows that theme over time. But that's not all. Macro teams can inject their expertise into building these queries, too. So if they have specific ideas on keywords and themes to capture—for example, inflation in Brazil—they have complete control over them.

Ultimately, you can break down the data by volume, sentiment, sector, language, or country. Do you want to know what the Japanese market makes of rising inflation in the U.S.? With SESAMm's platform, you can slice the data in different ways to find out.

Results with transparency

All that inform the results of your queries are available for scrutiny. Say you want to understand why a topic or theme is trending one way or the other, or maybe the sentiment isn't what you expect. You can drill down to the source articles to see why (figure 3).

Use Case: predictive signals for macro factors and commodities

We worked with a client as part of an asset allocation strategy to build indicators reflecting the tone of the Fed fund rate to see what we could predict based on the indicators.

[figure 4]

In Figure 4, the language we uncover becomes increasingly dovish, as indicated by the blue line, the aggregate of the hawkish and dovish indicators. It's proceeded by the fall in interest rates, the start of covid, and the recent inflationary period. Then, the indicators spike way before interest rates move up. Of course, it isn't the only factor, and it's not 100% predictive, but it does reflect future movements. Inflation is at an eight-year high right now, so it's indicative of continuing inflation returns and continuing rising interest rates.

Nowcasting and forecasting with TextReveal

With TextReveal, you can nowcast any macro theme by building expert-driven queries and predictive forecasting signals to get insights into volume, sentiment, and more.

If you want to find data relationships that accurately reflect economic trends and macro themes to what's happening online in near real time with a high degree of control, reach out for a demo.

Executive Summary

The physical infrastructure powering the AI boom (the data centers that house it, and the hardware that runs it) has become one of the most ESG-exposed sectors in the global economy. As demand for computing accelerates, so does the scrutiny on the companies enabling it.

This scorecard examines three major players across the AI infrastructure stack: Equinix and Digital Realty, two of the world's largest data center operators, and Supermicro, a leading manufacturer of high-performance AI server hardware. Despite their different roles, all three are navigating the same storm: a convergence of governance failures, environmental friction, and national security risk that is reshaping how investors, regulators, and communities assess the sector.

Our analysis reveals three defining pressure points: governance failures spanning accounting manipulation, board instability, and fraud; environmental and social friction from community opposition, resource strain, and safety violations; and national security exposure through data breaches, export control violations, and supply chain risk.

Together, these risks represent a fundamental shift for the sector. ESG in AI infrastructure is no longer about carbon reporting - it is about fiduciary integrity, operational transparency, and the social license to keep building.

Supermicro: Fraud, Malware & Supply Chain Violations

With a controversy exposure score (CES) of 80/100, Supermicro’s ESG profile is dominated by extreme governance risks centered on systemic accounting failures and geopolitical compliance breaches. The company is currently battling a U.S. Justice Department probe, Nasdaq delisting threats, and a series of securities fraud lawsuits following a 2024 accounting scandal that forced the search for a new CFO and echoed a prior $17.5 million SEC fine from 2020. 

Beyond financial integrity, the firm faces severe national security scrutiny over the alleged smuggling of restricted Nvidia AI chips to China, alongside 2025 investigations into "spy chips," unremovable motherboard malware, and multiple patent infringement claims from competitors like AMD and Lenovo. Socially, the company’s risk is compounded by a 2025 whistleblower retaliation suit and labor rights violations involving Filipino workers at its semiconductor supply chain partners, as well as multiple OSHA safety penalties for workplace hazards.

• Supermicro Pays $17.5M SEC Fine Over Alleged Accounting Violations
• Super Micro and Dell suspected of exporting Nvidia chips to China
• Super Micro Whistleblower Advances Suit Over Retaliation  
• Taiwan: Filipino workers at semiconductor factories allege rights violations
• Supermicro server motherboards can be infected with unremovable malware

Equinix: Accounting Manipulation & the AI Infrastructure Backlash

Similarly, Equinix’s CES of 79/100 is defined by a volatile combination of intensifying community opposition, environmental resource strain, and severe governance scrutiny. Socially and environmentally, the company faces a "Global AI Arms Race" backlash, where massive 340-acre proposals on local farmland in Minooka and "green belt" developments in South Mimms have sparked significant resident opposition over air pollution and traffic, while regulators in Dublin have begun blocking gas-powered facilities that violate national climate targets. These operational hurdles are compounded by a lack of transparency regarding massive water consumption and a series of high-profile safety and security failures, including data center fires in São Paulo and Madrid and a recurring "cybersecurity blind spot" in building systems. On the governance front, Equinix is navigating a severe trust deficit following a $41.5 million settlement over allegations of "major accounting manipulations" and the systematic over-selling of power capacity.

• South Mimms data centre team address environmental concerns
• The Small English Town Swept Up in the Global AI Arms Race
• Equinix loses appeal to get permission for gas-powered data center in Dublin
• Equinix (EQIX) Faces Class Action, DOJ and SEC Investigations After Hindenburg Accuses EQIX of Manipulating Accounting
• Equinix Sued By Data Center Tenant, Accused Of Stealing Intellectual Property”

Digital Realty: Board Instability, Gas Leaks & Cybersecurity Breaches

Although it has a lower CES of 48/100, Digital Realty’s ESG profile is defined by governance instability and intensifying environmental friction in key urban hubs. The abrupt 2022 termination of its CEO and the 2023 resignation of its Chairman, who alleged bias against female directors, highlight deep-seated board-level conflicts, further exacerbated by 2026 investigations into director bias and a $3.4 million loss of tax breaks in Hillsboro. 

Environmentally, the company faces formal legal notices in Marseille over fluorinated gas leaks and "imminent dangers to health," as well as noise complaints in Chicago and a 2024 fire in Singapore. Socially, the firm is navigating a Biometric Information Privacy Act (BIPA) lawsuit over scanning workers' fingerprints without consent, a major 2025 "Salt Typhoon" hacking breach, and mounting federal scrutiny over the industry's role in driving up local electricity and water costs.

• $3.4 Million Reality Check: Digital Realty Loses Massive Hillsboro Tax Break
• Digital Realty among victims of Salt Typhoon Chinese hacking gang 
• Chicago residents complain of noise from Digital Realty data center
• Digital Realty among victims of Salt Typhoon Chinese hacking gang 
• NYSE: DLR Investor Alert: Investigation over Possible Wrongdoing at Digital Realty Trust 

Conclusion 

The ESG challenges facing AI infrastructure operators are no longer peripheral concerns; they have become central to the sector's long-term viability. As the cases of Equinix, Supermicro, and Digital Realty illustrate, the consequences of their unchecked growth range from community backlash and environmental violations to governance failures and national security breaches. The AI infrastructure industry stands at an inflection point: continued expansion without proportional investment in transparency, accountability, and sustainability risks eroding stakeholder trust, inviting heavier regulation, and ultimately undermining the very infrastructure it seeks to build.