When Northern Trust Asset Management walked away from Net Zero Asset Managers (NZAM) and Climate Action 100+ in early 2025, it framed the move as a routine response to a shifting political landscape. In July 2026, that decision had a price tag: UK charity endowment Nesta Trust pulled a £120 million ($160 million) equity mandate from Northern Trust and handed it to Amundi, the European asset manager that stayed in both coalitions.

Nesta Trust didn't bury the reasoning. It called the switch a "direct consequence" of Northern Trust's exit, and its CIO was blunt about the intent: to show other asset owners that they don't have to "silently accept a roll-back of climate commitments."

Not an isolated incident

Northern Trust is the latest name on a growing list of managers losing business over the same issue. Since early 2025, several asset owners have reallocated capital away from managers that stepped back from climate coalitions:

• Dutch pension fund PFZW pulled roughly €29 billion ($34 billion combined with LGIM) from BlackRock and LGIM as part of a sustainability-focused shift.
• PME, another Dutch pension fund, later withdrew a further €5.9 billion from BlackRock, again citing climate misalignment.
• The UK's The People's Pension moved £28 billion away from State Street to Amundi and Invesco over sustainability concerns.
• Denmark's Akademiker Pension pulled a DKK 3.2 billion mandate from State Street for similar reasons.

The pattern is consistent: US managers exited climate coalitions largely in response to domestic political and legal pressure, including a multistate antitrust lawsuit targeting ESG-focused investment groups. European asset owners, operating under different regulatory expectations and client demands, are responding by moving assets to managers who held the line.

Why this matters beyond the headline

For risk and ESG teams, the lesson isn't about picking a side in the US-Europe ESG divide. Instead, it's that a governance decision made for one audience can create material commercial exposure with another. Northern Trust's exit was a defensible response to conditions in its home market, but that still cost the firm a nine-figure mandate.

Coalition memberships and public commitments used to be treated as background credentials, not something clients actively screened for. However, asset owners are now treating a manager's stewardship posture as a live signal, and they're willing to act on it.

NZAM officially relaunched on February 25, 2026, with softer requirements (the updated commitment dropped references to the 2050 net zero investment goal) and without most large US managers. More than 250 asset managers, including Amundi, signed on. The managers who didn't rejoin are now operating with a visible, trackable gap between their public stance and what a growing subset of clients expect.

The takeaway

Climate coalition membership has become a proxy that a segment of asset owners actively screen for, and reversing course is now a reputational event with a dollar figure attached. Whether that logic holds up for managers with less European or sustainability-focused client exposure is a separate question. But for those who do, the message from this string of mandate losses is clear: walking back a public commitment doesn't just draw criticism, it costs money..

SESAMm helps ESG, risk, and secondaries teams monitor and screen for ESG and reputational risk across public and private companies, drawing on a data lake of 30+ billion documents in 100+ languages. Screening criteria, whether regulatory (SFDR, EU Taxonomy), LP-driven, or values-based, are fully customizable to a firm's own policy. Learn more about SESAMm's approach to controversial business involvement screening and secondaries exclusion diligence.

By Sylvain Forté (SESAMm) and Mariya Peykova (Scientific Climate Ratings)

Picture two infrastructure assets.

The first carries obvious physical exposure, sitting right where the climate is changing fastest. The second is operationally robust and is considered sustainable, but it generates a steady stream of fines, local opposition, and headlines.

Which one is riskier to investors?

The answer depends on which question you're asking.

Viewed through a climate model lens, the first asset appears more exposed. Viewed through real-time controversy monitoring, the second demands more immediate attention. Neither assessment is wrong. Each captures a different dimension of risk.

That's why leading infrastructure investors increasingly rely on multiple perspectives rather than a single measurement. Climate risk doesn't reduce to a single definitive answer. It unfolds across different time horizons, different datasets, and different types of evidence. Looking through multiple lenses provides a richer understanding of an asset's resilience and the risks that may shape its performance throughout the investment lifecycle.

Four complementary lenses help build that picture: physical, transition, controversy, and regulatory.

The first two, physical and transition, are forward-looking. They use models and scenarios to estimate how climate change and the low-carbon transition may affect an asset over years and decades. The other two, controversy and regulatory, are grounded in today's reality, tracking emerging events, stakeholder concerns, enforcement actions, and changing policy as they happen.

Together, these lenses provide a more complete understanding of risk. Physical and transition analysis explain where an asset is heading over the mid and long term. Controversy and regulatory monitoring reveal what is happening today and how quickly new issues are emerging. Rather than competing, they complement one another.

We explored exactly this approach during a recent live session co-led by Sylvain Forté, CEO of SESAMm, and Mariya Peykova, Sales Director at Scientific Climate Ratings, where they put a real infrastructure asset, a coal-fired power plant operated by LEAG, through each of the four lenses. The session demonstrated how decision makers can integrate Scientific Climate Ratings’ and SESAMm’s products to capture climate risk from all angles. Below, we’ve recapped key takeaways from that analysis.

The Long View: Physical and Transition

Start with the lenses that look across the life of the asset: physical and transition. Both are the domain of Scientific Climate Ratings, which translates climate science into financial metrics that investors can act on. Its Climate Exposure Rating runs on a standardized A to G scale (A is climate-resilient, G is structurally vulnerable), combines physical and transition components, and is forward-looking offering various time horizons from 2035 to the end of an asset's operational life. Each grade is benchmarked against a stable universe of more than 6,000 private infrastructure assets across 25 countries, and the methodology is deliberately transparent, with no black boxes.

The physical lens asks what a changing climate does to the asset itself. For the Schwarze Pumpe plant, the answer is reassuring. Its headline physical exposure rating is A, the most resilient grade, with asset-equivalent damage of just 0.09%. What little exposure there comes mainly from manageable flood risk, with heat stress limited.

However, the model flags one hazard that needs monitoring: drought. It rates F, with water demand projected to be four times the available supply and drought conditions covering three months of the year, for an asset that, like much heavy industry, depends on water. That signal does not yet include a financial damage figure because a peer-reviewed drought damage function is still being developed, but it is a real exposure that the model is flagging for the future.

The transition lens asks a different question: how does the asset perform as the economy decarbonizes? Here, the same plant tells a starkly different story. Under a net-zero pathway toward 2035, it rates G, the worst grade on the scale. The pressure intensifies sharply from around 2030, driven by Germany's legislated coal phase-out under the KVBG, with projected revenue approaching near-total devaluation. Both sub-components sit at the bottom of the scale: direct carbon costs, as carbon prices climb toward roughly $700 a tonne under net zero, up from today's levels near $76, and market demand, which collapses to the point of total demand destruction. On this trajectory, the asset is, in effect, stranded.

To be fair to LEAG, this is not a company simply waiting to shut down. Backed by the federal government, it is already planning an 850-megawatt hydrogen-ready gas plant at the same site to replace half of the retiring coal capacity. That is a genuine transition story, and exactly the kind of forward plan the modeled lenses are built to weigh.

These grades are not abstract scores. They translate physical and transition exposure into comparable financial metrics, such as annualized expected damage and revenue at risk, projected forward to 2050 and beyond, so one asset can be weighed against thousands of others on the same terms.

Taken together, these long-term perspectives paint a nuanced picture. The Schwarze Pumpe plant is physically resilient today, yet its economic model faces a steep, policy-driven decline within the decade.

What they don't capture is what may already be unfolding around the asset right now.

Scientific Climate Ratings already offers Climate Risk Ratings (CRR), the next step beyond the Climate Exposure Rating (CER) featured here. Where the CER quantifies climate exposure and potential average annualized damage, the CRR translates it directly into impact on key financial metrics: revenues, cash flows, probability of default, and enterprise value. The step from 'how exposed is this asset?' to 'what does this cost?' in the financial language that investment committees can act on. 

The Signal View: Controversy and Regulatory

Now switch to the lenses that focus on the present: controversy and regulatory. 

Both are the domain of SESAMm, which uses AI to detect ESG controversies on private assets, often before they surface in traditional ratings. Drawing on one of the industry's largest data lakes, it reads more than 35 billion documents (news, regulatory filings, local press, NGO, and court reports) and distills them into a Controversy Exposure Score on a 0 to 100 scale. Individual events are aggregated into cases, each with a timeline, its sources, and a severity rating that reflects how material the issue is: financially, legally, and by the number of stakeholders affected.

The controversy lens, then, monitors how the outside world is responding to an asset in real time, surfacing meaningful developments as they emerge.

For LEAG, that real-time read is substantial. The operator carries a high Controversy Exposure Score spanning environmental, social, and legal topics. There is proven legal action against one of its mining operations, flagged at the highest severity as a potential UN Global Compact violation, alongside criminal complaints over environmental breaches and a record of legal, regulatory, and community pressure built up over the years. A notable cluster of those signals concerns water, both consumption and pollution, including challenges and complaints over groundwater pumping and water permits.

That last point is telling. Recall the drought exposure the physical model flagged but could not yet price. Here it is, already materializing as legal and community pressure on the ground, picked up in real time. None of this appears in a physical climate model or a transition scenario, yet each development can influence permitting timelines, financing conditions, operational flexibility, or reputation.

This is where real-time signals become especially valuable. Controversies often emerge long before they are reflected in annual ratings or financial models. Public opposition, regulatory investigations, and stakeholder disputes can develop over months or even years before they result in fines, project delays, or impairments.

Alongside controversy monitoring sits the regulatory lens, which captures how policy is evolving and being enforced on the ground. For infrastructure investors, this may include relicensing requirements, water rights, environmental compliance, or expanded disclosure obligations such as the CSRD. In many ways, the regulatory perspective bridges long-term transition trends with today's operational reality.

These lenses answer a different set of questions from climate models. Rather than forecasting where the asset is heading decades from now, they reveal what requires attention today.

Four Lenses, One Richer Understanding

The Schwarze Pumpe plant is, at the same time, physically resilient, economically stranded on a net-zero path, and under active legal, regulatory, and community pressure today.

Each lens highlights a different aspect of the same asset, operating across different timescales and using different types of information. Physical and transition analysis explain long-term structural resilience and exposure. Controversy and regulatory monitoring reveal how emerging issues are unfolding in real time.

It's tempting to combine these perspectives into a single score, but doing so risks losing the context that makes each valuable. The four lenses aren't multiple measurements of the same phenomenon. They're answers to different questions.

Viewed together, however, they become considerably more powerful. The drought finding captures it: a hazard the physical model can flag but not yet price, becomes far easier to weigh once real-time monitoring shows the water-related legal and community pressure already building around the asset. Long-term climate modeling helps investors understand whether a controversy reflects a temporary challenge or an early signal of structural risk. Conversely, real-time controversy and regulatory monitoring provide context for long-term scenarios by indicating whether projected risks are already beginning to materialize.

No single lens tells the whole story.

Together, they provide a far clearer picture of infrastructure risk.

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[SESAMm and Scientific Climate Ratings operate as independent platforms. This analysis reflects a collaborative session designed to illustrate how complementary approaches to climate risk can be combined to provide a holistic risk assessment across both short-term and signals and long-term risks.]

Most data companies lead with what their product can do. SESAMm's public methodology does that, and then goes a step further. It defines, in plain terms, exactly what the Controversy Exposure Score measures and where its boundaries lie. That precision, now public and free to access under the EU ESG Rating Regulation that entered into force on 2 July 2026, is what makes the score dependable.

The logic is straightforward. A number is only as useful as the user's understanding of it. SESAMm would rather its clients understand the score completely than take it on trust, because a well-understood score is a score that can be used with confidence.

Built From the Public Record

The CES is built entirely from public and licensed media and web content. That foundation gives it a clear and well-defined scope, and SESAMm is precise about what that scope includes.

Coverage is richer for some entities than others. Large and high-profile companies generate far more reporting than small or private ones. SESAMm addresses this directly by rebasing each event against an entity's own media history rather than absolute volume, so a company is measured against its own baseline rather than penalised for simply attracting more press. For entities with a persistently low profile, the methodology is explicit that the underlying signal is thinner, which tells a user precisely where to bring additional sources to bear.

Language and source access define the rest of the scope. The pipeline reads a broad and growing set of languages and ingests an extensive range of public and licensed sources. Where a controversy is reported mainly in a language or a publication outside that set, the methodology says so plainly. Defining these edges is what allows a user to place the score accurately within a wider process.

The Discipline of Not Guessing

One principle deserves particular attention, because it sets SESAMm apart from a common industry habit. Where direct coverage of an entity is thin, SESAMm does not fill the gap with proxy data, sector benchmarks or estimated values.

This is a deliberate quality choice. Substituting averages would produce a tidier-looking dataset, but it would manufacture information that does not exist. SESAMm reports only what the evidence supports. For a low-visibility entity, that means a low score reflects the controversies actually detected, and the methodology is clear that this is a measure of detected exposure rather than a clean bill of health. The result is a number a client can stand behind, because nothing in it is invented.

This alo clarifies how the score is best read. The CES measures exposure to negative controversies, which makes it a sharp, single-purpose instrument. It is designed to surface risk, not to certify virtue, and pairing it with positive-performance data is exactly how SESAMm intends it to be used.

An Early Signal, Drawn From Public Reporting

The CES reflects controversies as reported in public sources, which can include allegations that are still moving through the courts. The methodology is precise about what this means: the score records the existence and salience of reporting, and it is built to give risk teams an early signal rather than a legal conclusion.

This is one of the score's most valuable properties. Reputational and ESG risk very often crystallises long before any legal process concludes. A measure that captures reported exposure as it emerges, while being clear that reporting is not a verdict, gives a risk team time to act early and to weigh the signal appropriately. That combination of timeliness and precision is precisely what makes it useful in practice.

Rigorously Engineered, Openly Documented

Because the score is produced by an AI pipeline, SESAMm documents both how that pipeline works and the controls that keep it accurate. The engineering is the headline here, and it is substantial.

A language-model filter screens for false positives before any event is surfaced. A dual-layer human quality-assurance process, run daily by SESAMm's Research and Analytics team and escalated where needed to the Methodology Lead, reviews accuracy, corrects confirmed issues at the source, and feeds recurring patterns back into the training corpus so the system improves over time. Before any material change to the methodology is deployed, it is backtested against a historical event database, reviewed on the entities it most affects, and signed off by the Methodology Lead. The methodology is formally reviewed at least once a year.

SESAMm also names the structural properties of statistical models openly, because describing a system you understand and control is what gives these safeguards their meaning. The point is not that any model is flawless. It is that the controls are designed for exactly the points where models need them, and that the whole arrangement is documented for anyone to inspect.

Why Defining the Boundaries Builds Trust

There is a quiet truth in ESG data. The providers willing to define the edges of their product are often the ones most worth trusting, because they are describing a system they genuinely understand and operate. A score presented as all-seeing invites misuse. A score presented with its scope clearly marked can be integrated thoughtfully, weighted sensibly, and combined with other inputs exactly as the methodology intends.

SESAMm's view is that this clarity is part of doing AI well, not a step back from it. The same analysts who design the methodology are the ones who test and refine it every day, and the new regulation now gives the whole market a reason to hold itself to the same standard. Precision about what a score means is not a limitation on its value. It is the foundation of it.

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To read the full methodology, including how the Controversy Exposure Score is built and the safeguards that keep it accurate, visit sesamm.com/methodology.

A single number is a powerful thing. It can summarise months of reporting across dozens of sources into something a risk team can act on in seconds. It can also hide more than it reveals, if no one explains how it was built. When the same company receives very different ESG scores from different providers, the usual reason is not bad data. It is undisclosed method.

SESAMm has published the full methodology behind its Controversy Exposure Score, free to access, following the entry into force of the EU ESG Rating Regulation on 2 July 2026. This article walks through what the score measures, how it is constructed, and the two design choices that most distinguish it.

What the Score Measures

The Controversy Exposure Score, or CES, runs on an absolute scale from 0 to 100 and is grouped into five risk bands, from Very Low to Very High. It has a single, deliberately narrow objective: to measure an entity's exposure to ESG controversies, meaning adverse events and conduct attributed to that entity as reported in public sources.

Three points define its scope from the outset. The CES is an impact-materiality measure. It looks at the negative footprint of an entity's activities on people and the environment, not the financial effect of ESG issues on the company itself. It is backward-looking. It reflects controversies that have already been reported, over a rolling 24-month window, rather than forecasts or transition pathways. And it is built only from public and licensed public-domain information, never from private, confidential or self-reported data.

From Millions of Articles to a Single Case

Before any score can exist, raw coverage has to become structured information. This is where most of the engineering sits.

SESAMm's pipeline first attributes each document to the right entity and screens it for genuine ESG relevance against a multilingual taxonomy, removing low-quality, duplicate or non-editorial content. It then addresses a problem familiar to anyone who monitors the news: media echo. A single real-world incident can generate dozens of near-identical articles. To prevent that from inflating the picture, related documents are grouped into Events, and related Events into Cases, so that a controversy unfolding over time is tracked as one continuous case rather than many separate items.

A validation step then confirms that each candidate event is a genuine ESG controversy concerning the entity, acting as a control against false positives before anything enters the score. Only after this sequence does scoring begin.

Design Choice One: Severity Before Volume

The most important question about any controversy is not how many articles it generated. It is how serious it is. SESAMm assesses severity first, through a feature called Event Intensity, scored on a 1 to 5 scale.

Severity is judged on two axes. The first is reversibility, the permanence of the harm, from a procedural or technical breach at the low end to irreversible damage such as fatalities or permanent ecosystem destruction at the high end. The second is reach, the scale of the impact, from an effect confined to a single facility up to systemic or national-level harm.

Two principles govern how these combine, drawn from the UN Guiding Principles approach to identifying severe impacts. Permanence takes priority over breadth, so an irreversible harm weighs more than a widespread but remediable one. And grave, irreversible events are designed not to slip into low-severity tiers simply because their reach was limited, so that isolated but serious events stay visible. The structured severity is then adjusted for the entity's actual responsibility, from direct involvement through its own operations to indirect involvement through its value chain.

Media coverage does play a role, but a disciplined one. The level of coverage contributes to the score as a signal of salience, and it is rebased against each entity's own historical media baseline rather than counted in absolute terms. This stops high-profile companies from looking riskier simply because they attract more press, and it keeps the engine sensitive to genuine spikes at less-covered entities.

Design Choice Two: Worst-Of, Not Average

The second defining choice is how the pillars combine. Most ESG scores apply percentage weights to Environmental, Social and Governance factors and blend them into a weighted average. SESAMm deliberately does not.

The reason is a structural flaw the company calls dilution bias, or data masking. When pillars are averaged, strong administrative compliance in one area can mathematically conceal a catastrophic breach in another. A company with excellent governance disclosures could see a severe environmental controversy diluted into a comfortable middle score.

Instead, the CES uses a rule-based maximum-severity, or worst-of, logic. The entity's most serious controversy drives the score, regardless of which pillar it sits in, and it cannot be watered down by stable metrics or an absence of alerts elsewhere. The five bands that result are fixed in absolute terms rather than calculated relative to a peer group, so a company's score is not flattered or punished by the behaviour of its sector. A score above 80 reflects critical, often irreversible breaches. A score of 20 or below reflects negligible or minor isolated issues.

A Number You Can Interrogate

Taken together, these choices produce a score with a clear logic behind every point on the scale. Severity is assessed before volume. The gravest event leads. Coverage is normalised so it informs rather than distorts. And the bands mean the same thing for every entity, in every sector, anywhere in the world.

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None of this requires a user to take the result on faith. The objective, the taxonomy of 44 sub-risks, the severity model, the aggregation rule and the interpretation of each band are all set out in the public methodology. A score is only as useful as the method that produced it, and that method is now open to read.

To see exactly how the Controversy Exposure Score is constructed, visit sesamm.com/methodology.

A familiar debate has followed ESG data for years. One camp argues that the field generates too much information for any human team to handle, so the work should be left to machines. The other argues that ESG judgments are too consequential to automate, so humans should review everything. Both positions contain a real concern. Neither describes how a credible rating is actually produced.

With the publication of its full Controversy Exposure Score methodology, now public and free to access following the entry into force of the EU ESG Rating Regulation on 2 July 2026, SESAMm is making the answer explicit. A trustworthy rating is not a choice between artificial intelligence and human expertise. It is the disciplined combination of the two, with each doing the part of the work it does best.

The Scale Problem Is Real

Teams that monitor ESG controversies rarely suffer from too little information. They suffer from too much. A single incident can generate dozens of articles within days, in multiple languages, across outlets of very different quality. Multiply that by a global investment universe and the volume becomes impossible to track by hand.

This is the part of the problem that machines are built for. SESAMm's pipeline ingests more than 10 million documents a day, drawn from an input layer of over 30 billion documents that includes licensed global news, public web and media feeds, NGO publications, and public regulatory and judicial filings. It screens controversies for millions of public and private companies, alongside infrastructure projects, state-owned entities and sovereigns. No analyst team could read at that scale, and none should try. Asking people to do machine work is how important signals get missed.

So artificial intelligence carries the load. Natural language processing and machine learning models, including large language models, attribute documents to the right entity, filter for genuine ESG relevance, and group related articles into discrete events and events into continuous cases. This is what allows a controversy that unfolds over weeks to be tracked as one developing story rather than a hundred disconnected headlines.

Why Scale Alone Is Not Trust

A system that reads everything will also, inevitably, misread some of it. SESAMm is direct about this in its methodology, because pretending otherwise would be the opposite of transparency.

Probabilistic language models can misinterpret a historical or hypothetical reference as an active controversy. Automated clustering can occasionally merge two distinct incidents or split one prolonged crisis into fragments. Model accuracy varies across languages, and lower-resource languages or heavily idiomatic content raise the risk of misclassification. These are structural properties of statistical systems, not bugs to be wished away.

This is precisely where scale stops being enough and human expertise becomes indispensable. A number that informs how capital is allocated cannot rest on automation alone.

Where Human Judgment Enters

SESAMm operates a dual-layer human quality-assurance process, and it runs every day.

At the first layer, a dedicated Research and Analytics quality-assurance team reviews data accuracy, both reactively, when a question is raised about a case, a score or a classification, and proactively, by reviewing generated alerts. Where an issue is confirmed, the correction, whether a reattributed entity, a corrected sub-risk tag or the removal of an irrelevant event, is applied at the source, logged, and the affected scores are recomputed on the standard daily cycle.

At the second layer, complex cases and recurring structural issues are escalated to the Methodology Lead, who can update the underlying training corpus so that a category of error becomes less likely in future. This is the detail that matters most. Human review is not a final rubber stamp on top of the machine. It is a feedback loop that teaches the system, so that today's corrections improve tomorrow's automated output.

The same expertise sits at the front of the process, not only the end. Analysts define the 44 ESG sub-risks, design how severity is assessed, and fine-tune the models. The methodology is a human construction that machines then apply consistently at scale.

A Division of Labor, Not a Contest

Seen this way, the old debate dissolves. The question was never whether AI or people should produce ESG ratings. The question is which part of the work belongs to which.

Machines provide reach, consistency and speed. They apply the same rules to every entity, every day, without fatigue or favor.

People provide judgment, correction and improvement. They decide what the system should look for, they catch what it gets wrong, and they raise the standard of the model over time.

The result is a rating that is both broad enough to cover the real world and rigorous enough to be relied upon. Scale without rigor is noise. Rigor without scale never reaches most of the companies an investor actually holds. The value is in the combination.

What This Means Going Forward

The EU ESG Rating Regulation asks providers to disclose how their ratings are built. SESAMm has chosen to disclose the full pipeline, including the role of AI, the points where it can fail, and the human controls that contain it. The aim is not to claim the technology is flawless. It is to show, in detail, why the output can be trusted anyway.

As artificial intelligence becomes more capable, the temptation to remove the human layer will grow. SESAMm's position is the opposite. The more powerful the models become, the more valuable the people who direct them, check them and teach them become. That is the architecture of a rating worth trusting, and it is now open for anyone to read.

To explore the full methodology behind the Controversy Exposure Score, visit sesamm.com/methodology.

SESAMm's ESG data shows FIFA's Controversy Exposure Score has stayed High to Very High since 2020. See why continuous monitoring beats the four-year cycle.

With the 2026 World Cup now underway, FIFA is back in the global spotlight, and its risk profile is once again being narrated in four-year cycles, as though controversy arrives with the tournament and recedes with the closing ceremony. The data points to a different pattern. Across the period from January 2020 to June 2026, the large majority of FIFA's most serious controversies were recorded outside any World Cup window. Tournaments concentrate global attention on FIFA's existing liabilities, but the evidence suggests they do not drive the underlying volume. Many of the substantive events, including court verdicts, regulator rulings, fund decisions, and bid matters, occur in the periods between tournaments.

For investors, sponsors, and anyone screening exposure to football's governing body, this distinction matters. If controversy were cyclical, it could be assessed around the calendar. Because the data indicates it is closer to continuous, it is better suited to ongoing monitoring. To examine this, the analysis below draws on SESAMm's controversy data, which captures and classifies FIFA's reputational, regulatory, and operational controversies.

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Context: How FIFA's Structure Shapes Its Risk

Controversy Exposure Over Time 

It helps to start with how FIFA is organized, because its governance structure has a direct bearing on the type of risk it carries. As a Swiss-law association, FIFA answers to a membership rather than to shareholders or a securities regulator, and its decision-making body, the FIFA Council, is composed of representatives from the regional confederations whose commercial interests the Council also oversees. This means the regulatory functions of sanctioning, eligibility, and integrity sit close to the commercial function of awarding and selling tournaments. Arrangements of this kind tend to produce a steady stream of governance-related questions as part of normal operations, which is consistent with SESAMm’s controversy data.

One useful illustration is procedural rather than criminal. The Blatter and Platini proceedings span the entire time period without reaching a clear resolution, running from a 2020 complaint through a fraud indictment, an acquittal, a prosecutorial appeal, and a second acquittal, before Platini opened a fresh action against FIFA and Infantino in June 2026. As a corruption narrative, the sequence is inconclusive. As a governance observation, it illustrates a broader dynamic in which matters are litigated and re-litigated over long periods, in part because resolution often depends on external courts operating on their own timelines. The result is a long-running procedural footprint rather than discrete, time-bound events.

The CES is an aggregate, entity-level score (0–100) that measures an entity's overall exposure to ESG controversies over time. It's built from individual ESG events and their intensities, synthesizing both event volume and severity into a single trackable figure. The intensity score, by contrast, operates one level down: it's applied at the event level, measuring how severe or important each individual ESG event is on a scale from 1 (least severe) to 5 (most severe). In short, the CES tells you how exposed an entity is overall, while the intensity score tells you how serious each underlying event is.

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ESG Risk Over Time

This chart tracks FIFA's ESG controversies per year from 2020 to 2026, stacked by risk pillar. Governance dominates every bar, with social forming a secondary band and environmental barely visible. Volume climbs from a governance-heavy opening year to a clear peak in 2022, then holds at a stable plateau through 2025 before the short 2026 bar. The shape is driven by a handful of major events. The 2020 corruption investigations kept the opening-year baseline elevated and were almost purely governance-related, following a US DOJ indictment unsealed that April, which alleged bribes were paid for the votes that awarded Russia and Qatar the 2018 and 2022 World Cups. 

The 2022 Qatar World Cup marked the clear inflection point, drawing sportswashing accusations and pushing total controversies to their peak, while migrant-worker conditions and human-rights coverage around Qatar thickened the social band into a permanent quarter-to-third of each bar from 2022 onward. Rather than reverting, controversies settled into a post-2022 "new normal," plateauing well above the pre-tournament level.

The short 2026 bar, meanwhile, captures only a partial year at the June kickoff of the World Cup now underway across the US, Canada, and Mexico, and its drivers are already piling up across all three ESG dimensions. On governance, a fan backlash over first-ever dynamic ticket pricing escalated into a supporters' lawsuit and thousands of unsold seats, while FIFA's mandatory three-minute hydration breaks, introduced as a player-welfare measure, ere opened to broadcasters as in-game ad windows projected to generate upwards of $250M for Fox Sports alone (and potentially over $1bn globally), prompting one player to remark that the "hydration break turned into a commercial break." On the social side, visa challenges and travel-ban restrictions emerging right before the tournament left fans, journalists, and even a debuting referee blocked at the border, Iran saw its ticket allocation withdrawn days before its opener, and the confirmed presence of ICE agents at stadiums triggered a stadium-workers' strike threat. And on the environmental side, FIFA president Gianni Infantino's private-jet stadium-hopping drew accusations of hypocrisy amid analyses branding the 48-team tournament one of the most polluting on record. With the tournament only days old, the full-year figure is far more likely to climb than to fall.

Underneath it all, corruption-and-bribery and legal/investigative exposure account for the bulk of total risk across 2020 to 2026, while environmental risk stays statistically negligible throughout.

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ESG Risk by Type 

Environmental Risks

Environmental risk accounts for a small share of FIFA's total controversy volume, but that low frequency masks cases of genuine severity. The Swiss Fairness Commission ruled against FIFA's Qatar 2022 carbon-neutrality marketing, turning a greenwashing accusation into a formal regulatory matter still active in June 2026. Related controversies extend the theme, including criticism of the Saudi Aramco and Coca-Cola sponsorships, the cooling and water-use controversies at Qatar, and the animal-welfare outcry over stray-dog culling ahead of Morocco's 2030 hosting. 

Social Risks

FIFA's social controversies are concentrated on human rights and inclusion. The most sustained crisis stems from the legacy of worker deaths and labor abuses at the Qatar World Cup, with the same scrutiny now extending to the selection of Saudi Arabia for the 2034 tournament. Around these run a series of high-intensity cases: the jailing of Qatar 2022 whistleblower Abdullah Ibhais, widespread OneLove armband and LGBTQ+ disputes, and multiple federation-level sexual-abuse scandals. Ongoing labor and harassment vulnerabilities persist as well, including working-condition disputes at FIFA's 2022 hotels and a sexual harassment case involving the head of the FIFA Legends program, confirming that social exposure is a deeply entrenched and sustained challenge rather than a string of isolated incidents.

Governance Risks

FIFA's governance controversies center on accountability and legal scrutiny. The organization has faced massive external investigations into racketeering and money laundering, including a probe into its ticket distribution and pricing practices. Corruption and bribery have been a persistent problem, marked by high-profile scandals such as the Sepp Blatter and Michel Platini case, as well as long-standing investigations into the hosting rights for the 2018 and 2022 World Cups, which revealed opaque decision-making networks.

Beyond these, FIFA has drawn criticism over its marketing and communications, notably branding the 2022 Qatar World Cup as "carbon neutral," and has dealt with fraud and embezzlement, exemplified by the case of former FIFA and CONCACAF official Chuck Blazer. Issues tied to its board and senior management leadership round out the picture, though the overall pattern is one of an organization reacting to the weight of its legal and ethical past rather than getting ahead of it.

The exposure is concentrated in governance, and the named cases show why. The most severe and persistent controversies are institutional: the Blatter and Platini proceedings, the multi-strand FIFAgate complex that has produced convictions and bans for officials, including Juan Ángel Napout, Jérôme Valcke, Jack Warner, and Marco Polo Del Nero, and the European Court of Justice's October 2024 invalidation of FIFA's transfer regulations in the Diarra matter. Antitrust pressure compounds it, from the FIFPRO and European Leagues challenge to the Club World Cup calendar to the Relevant Sports and Super League rulings.

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UNGC Violation Screening Breakdown

As the breakdown above shows, the overwhelming majority of FIFA's screened ESG events fall into the low-risk tier (1,294, or 88.1%), with 165 (11.2%) on the watchlist and 9 (0.6%) classified as Violator, the highest-risk tier under SESAMm's UN Global Compact screening. That tier is assigned only where there is clear evidence of a breach, such as formal sanctions, court findings, or regulatory condemnations, rather than unresolved allegations. For investors with SFDR Article 8 or 9 obligations, or internal exclusion policies tied to UNGC compliance, a Violator flag on a core holding or counterparty is a material signal rather than a monitoring note, which is why the profile is best read as governance-led: the nine Violator events reflect adjudicated breaches concentrated in FIFA's governance history, not the live controversies surrounding the current tournament. 

The composition that emerges is a governance core of long-running legal cases, a Qatar-rooted social overlay that has proven durable, and a small but genuinely high-severity environmental tail now being contested through formal channels.

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The Qatar Migrant Worker Case

Phase 1 - Pre-Tournament Build-Up (2020–2021)

Qatar's relative share of FIFA coverage more than doubles, while absolute volume climbs about a quarter, amid the early drumbeat of scrutiny as the tournament approaches. The specific findings driving this phase: investigations into migrant-worker deaths on World Cup infrastructure, Amnesty International's reporting on forced labor and the kafala sponsorship system, and Qatar's announced labor-law reforms that critics argued were poorly enforced.

Phase 2 - The Tournament Spike (2022)

Both lines explode together, but unevenly: absolute volume roughly doubles while the relative share more than quadruples, briefly making Qatar roughly one in seven of all FIFA-related items, because nearly every controversy fires at once. The spike packs in wider labor abuses, and the jailing of whistleblower Abdullah Ibhais; the OneLove armband ban and Qatar's criminalization of same-sex relations and the broader sportswashing and carbon-neutral greenwashing charges; and the unresolved bribery allegations over the 2010 hosting vote. On its own, this acute cluster would suggest a controversy that lives and dies with the tournament. 

Phase 3: Off-Season Accumulation (2023–2026)

This is where the two lines part ways, and the accumulation shows itself. After the tournament, the relative share deflates sharply in 2023, the acute spike clearing, but it never returns to baseline; instead, it grinds steadily upward every subsequent year, ending in 2026 at roughly four-and-a-half times its pre-tournament level. Over the same stretch, the absolute volume collapses, from 1.43M in 2023 to around 448K in 2026, under a fifth of the 2022 peak. The two movements together are the key finding: even as total FIFA coverage shrank dramatically, the Qatar migrant-worker case captured a larger and larger share of what remained. Driving that residual are post-tournament findings: The non-payment of the migrant workers during the 2022 World Cup, the campaign for a migrant-worker compensation and remedy fund, and Amnesty's continued push for FIFA to fund remediation.A storyline that merely echoes the event would fade with the falling volume; one that accumulates does the opposite. The controversy is no longer powered by the match calendar but by its own momentum.

The Case Underneath

Underneath that residual sits the report's single heaviest case: the human-rights strand of 135 events running from 2020 to 2026, the longest-running and most densely populated case in the dataset. What stops it fading is that each turn of the hosting cycle reactivates it: the 2026 uptick to 6.49%, the highest reading outside the tournament year itself, coincides with the 2026 World Cup now underway in North America, which revives retrospective scrutiny of Qatar, and the emerging human-rights questions around Saudi Arabia's 2034 tournament, which carries the same migrant-labour lens straight to the next host. The case is not simply failing to fade; it is being actively topped up by each new host, which is why the social exposure reads as structural rather than event-bound. 

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Key Takeaways

Taken together, the data describes a profile that is primarily governance-related, with the most severe and persistent cases concerning legal exposure, corruption, and bribery, supported by a durable Qatar-rooted social overlay and a small but high-severity environmental tail. All three pillars reach maximum case intensity, so severity is not confined to any single dimension.

The most consistent feature is persistence. FIFA's Controversy Exposure Score has remained in the High-to-Very-High band throughout the period and sits at 99 today. The largest cases run continuously from 2020 to 2026, and a significant share of binding decisions occur outside tournament windows. None of this reduces the significance of the World Cup, which clearly concentrates attention and scrutiny. But the underlying controversy is produced across the quarters between tournaments, and several of FIFA's most consequential outcomes are set during lower-attention periods. For those screening FIFA, the practical implication is that continuous monitoring suits this profile better than event-triggered review, because much of the relevant activity occurs between tournaments rather than during them.

The data suggests that for an entity like FIFA, a four-year review cycle misses most of what matters. Request a demo to see how SESAMm supports the kind of ongoing monitoring this profile requires.

*The Controversy Exposure Score (CES) is a continuous score from 0 to 100 measuring a company's exposure to ESG controversies over time, based on the severity of incidents and their media volume. This is an unsolicited rating: it is not commissioned by the rated company. The company is notified before its score is first issued, does not take part in the rating, and SESAMm has no access to its management or non-public documents. Ratings are produced only from public and licensed sources. The methodology is available here.

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Teams that monitor ESG controversies usually have the opposite of an information shortage. A single incident can generate dozens of articles within a few days, each covering the same underlying event, often repeating the same facts with a few new details.  At a certain point, the sheer number of articles makes it hard to tell which developments are material and which are just the same story told again.

The volume is the part that breaks traditional approaches. Millions of articles are written every day across hundreds of languages, more than any team of analysts could read, let alone reconcile into a clear timeline of an evolving controversy. This is not a problem you solve by adding more people; the scale is on a different order of magnitude from human reading speed.

What changed is that language models can now read, categorize, and evaluate. They cover that volume in every language, judging whether two articles describe the same incident, whether one marks a new development, and how incidents link into a single controversy over time.  Leveraging the latest AI models is the only way to structure this much material and generate daily updates. 

SESAMm runs this across the ten million documents it ingests each day, from more than four million sources in over 100 languages, including premium news wires, NGO bulletins, company communications, and discussion forums. The result is ESG controversies organized into three layers: articles, events, and cases.

From Articles to Events to Cases

Each layer builds on the one below it, and each answers a different question an analyst needs answered.

Articles are individual news articles or documents: the raw material.

Events group the articles that describe the same specific incident or development. When forty outlets cover the same supplier labor issue, those forty articles become a single event, with the underlying coverage attached. Articles published close together in time and describing the same development are grouped; an article describing a genuinely new development, even on the same broader topic, forms a separate event. A strike in 2022 and a similar strike in 2024 at the same supplier are recorded as two events, because they are distinct incidents rather than a continuation of one.

Cases sit above events. A case ties together the events that belong to the same underlying controversy as it unfolds, with no fixed time limit. An oil spill, the regulatory investigation that follows it, and the settlement that closes it months or years later are three separate events but one case.

Articles tell you what was written, events tell you what happened, and cases tell you how a controversy is developing. All three sit in the same view: one entry per controversy, with the chronology of events nested inside it and the source articles a click below that.

Why the Underlying Data Matters

A three-layer structure is only as good as the data underneath it. To capture a controversy from start to finish, that data has to include the early signals that appear in regional press, NGO bulletins, or non-English sources before larger outlets report them, sometimes days later.

SESAMm's coverage spans more than 100 languages and extends well beyond mainstream news wires, so its cases are built on a wider base than most monitoring platforms screen. A controversy that starts in a local-language outlet, moves through regional media, and reaches the international press is captured as a single continuous case, rather than surfacing as disconnected alerts or being missed altogether in its early stages.

What Does This Change in Practice?

Three things change in day-to-day work.

The count starts to mean something. A rise in the number of cases reflects new controversies emerging, not an old one being picked up by more outlets.

Trajectories become visible. As a case accumulates new events over the months, the progression from complaint to investigation to hearing to settlement is easy to follow, rather than being buried in hundreds or even thousands of articles. 

Analysts spend their time differently. Less of it goes to clearing duplicate headlines, and more to the important judgment calls. 

What This Looks Like in the SESAMm Dashboard

In the dashboard, a company appears as a single entity with its related cases listed beneath it. Each case includes a controversy summary, an ESG risk classification, and an intensity score, with related events nested underneath and the original source articles just a click away. A case that draws on hundreds of articles becomes a short, readable list instead of hundreds of separate incidents.

Every case is fully traceable. Analysts can drill from a case down to its events, and from any event to the articles that produced it. The time period is set from the top of the dashboard, so older incidents do not crowd the view when the focus is on recent activity.

Reducing Noise in Adverse Media Monitoring

In practice, those forty articles collapse into one event, and that event sits inside a single case that is still developing, caught early and drawn from sources most platforms never see.

Grouping articles into events removes duplication caused when many outlets cover the same incident. Grouping events into cases keeps a controversy intact as it develops, rather than scattering it across months of separate alerts. Because this runs across ten million documents a day in more than a hundred languages, it holds up even for controversies that start far from the mainstream press.

The result is a view where the numbers carry meaning, the direction of an issue is clear, and the underlying articles stay one click away for full validation. 

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The dominant story about responsible investment in 2026 is one of retreat. ESG funds are losing assets, regulatory frameworks are under review, and political pressure has reshaped how firms talk about sustainability. The word "backlash" has done a lot of work over the past two years.

In a recent webinar, “Responsible Investment in the Nordics: What Comes After ESG Leadership?” Sylvain Forté and Magnus Billing argued for a different framing. If you look past the headlines, at how institutional capital actually behaves and what European asset owners are actually building, a different picture emerges. What is taking place is not a reversal. It is a calibration, and the direction of travel has not changed.

Two stories, told as one

Much of the confusion stems from conflating the United States and Europe into a single "ESG retreat" narrative. In reality, the two markets are doing different things for different reasons.

In the United States, for example, the political environment has shifted, and parts of the industry have adjusted accordingly in response. The picture, however, is more nuanced than the headlines suggest. According to Malk Partners' State of ESG 2026 report, most of the recalibration in the US has centered on DEI programming, as firms navigate a more complex legal landscape. Other dimensions of ESG, including climate, governance, and ESG policy frameworks, have largely held their ground. On the LP side, support for ESG continues to set the tone of the market, and ESG diligence remains an important consideration for many large institutional investors when evaluating GPs.

Europe's story is different. The current cycle of regulatory revision is best understood as the maturation of a framework that grew faster than the data and definitions underneath it could support. The European Action Plan on Sustainable Finance set the right ambition, but the early implementation accumulated disclosure requirements faster than they could be reconciled. For a period, the cost of compliance threatened to crowd out the substance of what responsible investing was meant to deliver.

What is unfolding now is a recalibration. The Commission's proposed SFDR 2.0, the EU Omnibus Directive easing certain CSRD requirements, ESMA's incoming rules on ESG ratings providers, parallel work at the FCA in the UK, and progress in Switzerland all point in the same direction. The frameworks are being simplified, not dismantled. The ambition has not changed. The execution is finding its level.

What the data actually shows

The structural evidence for continued European commitment is clear. European GPs overwhelmingly report that the business case for ESG has either held steady or grown stronger over the past year, and almost none describe a weakened case. European firms continue to do more ESG diligence, more portfolio-level data collection, and more sell-side review than their U.S. counterparts, and European portfolio companies are far likelier to see ESG as a source of financial value. Even where regulation has eased, as with the Omnibus simplifications, demand for ESG data from customers and investors has barely shifted. The drivers were never primarily regulatory.

This makes sense once you look at what actually shapes institutional behavior. Pension funds and life insurers hold long-duration liabilities, which forces a horizon measured in decades rather than quarters. Climate risk has not become less material because the definition was simplified. Reputational risk has not slowed either; if anything, social media and AI-generated content have accelerated the speed at which controversies can damage a portfolio company's standing. And supply-chain exposures to geopolitical events, from the Strait of Hormuz to Red Sea shipping to Xinjiang, have become more central to risk management, not less.

In other words, the institutional case for responsible investment was never entirely about regulation. It was about durable risk and durable opportunity, and both are still very much present.

The pressures shaping how the work gets done

Alongside this calibration, three challenges are changing how responsible investment is practiced day-to-day. None of them is brand new, but they are slowly reshaping what investment teams actually have to do.

Speed: Reputational damage can now compound within hours rather than weeks, accelerated by social media and the velocity of AI-generated content. Traditional ESG ratings, designed for long review cycles, were not built for that tempo. The pressure to detect and respond to emerging issues in something close to real time has become harder to ignore.

Scope: Institutional allocations to private markets and infrastructure have grown steadily, yet the data coverage for those asset classes has historically been thin. The same gap exists across deep supply chains and local-language sources. The expectation that ESG analysis can stop at the boundaries of public equities, in English, on a quarterly cadence, simply no longer holds.

Cost of analysis: Some of the frustration that fed the "ESG retreat" narrative was that too much was being spent producing reports and too little on acting on what they said. As compliance overhead is rationalized under the new generation of frameworks, the question becomes how to redirect that capacity toward the parts of the work that actually move investment decisions.

What does it mean going forward?

For institutions thinking about the next five years, a few principles stand out.

The first is to treat responsible investing as a risk management discipline rather than a separate function, so that the data, the workflows, and the governance sit alongside the rest of the investment process. The second is to expect the data perimeter to keep expanding, given that local-language coverage, private assets, infrastructure, supply chains, and the way brands appear inside AI-generated answers are all part of a frontier that widens every quarter. The third is to keep humans in the loop by design, because while AI is closing coverage gaps and accelerating analysis, it is not, and should not be, making the final call.

The retreat narrative will keep drawing headlines. The capital, and the institutional commitment behind it, are telling a different story. As Magnus put it: "I object a little bit to the word backlash. In the European context, the word is calibration rather than backlash. The direction of travel is the same."

ESG, in other words, is not going away. It is settling into a more honest, more operational version of itself, and the institutions that recognize that early will be the ones best positioned for what comes next.

Watch the full webinar replay for more insights from Sylvain Forté and Magnus Billing.

Northvolt was Europe's flagship battery champion, backed by Volkswagen, Goldman Sachs, BMW, and BlackRock, and capitalized with over $13 billion in debt and equity. Yet between 2022 and 2025, it became the largest industrial bankruptcy in modern Swedish history,  shocking the industry and investors alike. We took a look back at SESAM’s controversy data to see if there were any early warning signals.

The Warning Signs

In September 2022, the first public reports of production delays emerged at Northvolt's Skellefteå gigafactory. By the end of 2023, less than 1% of the planned 16 GWh capacity for 2024 had been delivered. Then came the fatal workplace accidents linked to electrical experiments, and in June 2024, BMW canceled a €2 billion contract. By September, 1,600 employees had been laid off, the cathode expansion was abandoned, and the CFO was replaced. 

The Fallout

The consequences were swift. A Chapter 11 filing in the U.S. in November 2024. The resignation of founder and CEO Peter Carlsson. Over 5,000 jobs lost. Major write-downs across the cap table, from sovereign-backed pension funds to global automakers. In March 2025, Northvolt filed for bankruptcy in Sweden, the largest industrial failure in the country's modern history. The reputational damage extended well beyond the company itself, reaching investors, suppliers, and the broader European battery ambition.