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The long-delayed risk disclosure regulation is almost here.

A new era of transparency for corporate sustainability is coming — finally. After two years of deliberation, the Securities and Exchange Commission is expected to issue a final rule requiring public companies to make climate-related disclosures to investors. The decision could come as soon as next week.
The rule considers two categories of climate-related information relevant to investors: greenhouse gas emissions and exposure to climate-related risks like extreme weather or future regulations. While many companies voluntarily disclose this kind of information in other ways, the rules will both require and standardize climate-based reporting as a core part of a company’s fiduciary duty.
From almost the moment it appeared, the proposal has been the center of a lobbying firestorm. Some of the rule’s opponents write it off as part of an activist agenda — an indirect route to economy-wide carbon regulations. “The host of new requirements in this Proposed Rule are motivated by a small number of environmental activists who seek to steer the economy away from fossil fuels,” wrote twelve Republican attorneys general in a letter to the SEC responding to the proposal. The U.S. Chamber of Commerce, meanwhile, vowed to fight back against “unlawful and excessive government overreach.” (At a Chamber-sponsored event last October, SEC Chair Gary Gensler joked, “Wait, are you already suing us? I just walked in.”)
Certainly there are environmentalists who do see the rule as a tool to undermine the oil and gas industry. But proponents primarily make the case that the stakes are less about the atmosphere and more about protecting investors and the entirety of the financial system.
While we’re still waiting on the final rule — which was originally expected in the fall of 2022 and has been repeatedly delayed — here’s a catch-up on what we know so far.
At a basic level, the SEC makes rules saying what companies have to disclose and how so that investors can make well-informed decisions. The two types of information this particular rule covers — climate-related risks and greenhouse gas emissions — are distinct, but related.
The former is pretty straightforward. From the growing number of billion-dollar weather- and climate-related disasters in the United States to the ongoing exodus of insurance companies from fire and flood-prone areas to trade delays in the drought-stricken Panama Canal, it’s clear that climate change poses a substantial financial risk to businesses. It makes sense that investors would want to know how exposed a company’s warehouses or data centers or trucking routes are to wildfires and floods.
But why should investors care about a company’s emissions? Because they are an indicator of another type of risk.
“A shareholder is not necessarily concerned with whether a company is ‘on target’ with any climate commitment,” Boston University law professor Madison Condon writes, “but rather in assessing how exposed an asset may be to changes in global or local climate policy, energy prices, or shifts in consumer and investor sentiments.”
These changes are already in motion around the world, and are generally accelerating. Companies that aren’t preparing could be disadvantaged, or alternatively, could miss lucrative opportunities. Steven Rothstein, a managing director at the nonprofit Ceres, gave the example of the steel industry. If you think that, in the next several years, customers are going to ask for low-emission steel — which some already are doing — or that there might be a regulatory cost put on steel-related emissions, then a company with lower emissions will be better positioned to grow, while a company with higher emissions might have to spend a bunch of money to retrofit its factories.
Part of the SEC’s rationale for the rule is the proliferation of investor-led initiatives calling for government-mandated climate risk disclosure. “These initiatives demonstrate that investors are using information about climate risks now as part of their investment selection process and are seeking more informative disclosures about those risks,” the Commission wrote in its proposal. (Oil giant Exxon filed suit against the sponsors of one such proposal in January, having lost patience with proposals it said were “calculated to diminish the company’s existing business.”)
After the draft rule was released in March 2022, the SEC was bombarded by thousands of comments from investors, academics, NGOs, politicians, trade associations, and companies. One analysis of those comments by legal researchers found that investors were the most supportive group, with more than 80% in favor of the rule.
The most contentious aspect of the proposal invited criticism even from parties that were generally supportive of the rule. The SEC had taken a strong stance on emissions reporting, asking companies to disclose emissions indirectly related to their business, known as“scope 3” emissions. That means a company like Amazon wouldn’t just have to report the emissions from its warehouses and delivery trucks, but also an estimate of the emissions associated with producing and using all the products it sells. A company like Ford wouldn’t just have to report the emissions from its factories, but also from the production of the raw materials it uses, as well as from all the gasoline burned in the cars it sells.
Those in support of scope 3 reporting point to the fact that for many companies, including the two I just named, the number would vastly exceed their direct emissions.
In a legal review of why scope 3 emissions reporting matters, Condon warned that without it, companies could begin outsourcing their most emissions-intensive processes to third parties in order to appear greener than they actually are. She also argued that leaving out scope 3 obscures climate risks. She gave the example of electric vehicles, which can involve higher emissions during production than conventional cars but result in much lower emissions over their lifecycle. “When excluding Scope 3, an EV manufacturer is penalized, even though from the perspective of considering transition risk and climate impact, this makes little sense,” she wrote.
But companies and their trade associations threw every excuse at the idea of a scope 3 requirement: It would cost too much to gather the data; the data on supply chain emissions is unreliable and impossible to verify; since companies don’t directly produce these emissions, they aren’t relevant; etc.
And by all accounts, they won. The SEC is expected to drop requirements to report scope 3 emissions in the final rule.
However, that’s unlikely to satisfy opponents, many of whom, like the Republican attorneys generals who wrote letters to the Commission, say the SEC doesn’t have the legal authority to require climate-related disclosures at all. If there’s one thing that critics and supporters agree on, it’s that the rule, whatever it says, is going to be challenged in court.
A lot of companies are going to have to report their scope 3 emissions anyway. The European Union’s Corporate Sustainability Reporting Directive includes scope 3 and is expected to cover more than 50,000 companies, with some starting to report as soon as this year; U.S.-based businesses on EU-regulated exchanges, or with subsidiaries or parent companies in Europe, will be expected to comply. A similar rule voted into law in California last year also requires scope 3 emissions disclosures and covers any company doing business in the state — whether private or public — giving it broader reach than the SEC. However, Governor Gavin Newsom did not include any funding for the law in his budget proposal this year, creating concern that it will be delayed.
Danny Cullenward, a climate economist and legal expert, said the fate of the California regulations are important in light of the likely Supreme Court challenge to the SEC rule. “It's a lot harder to mount comparably broad challenges to state laws on this front,” he told me.
Despite the SEC’s narrow focus on protecting investors, the mandatory disclosure of corporate emissions and climate risks would have widespread effects — even some that regular people might feel. Suddenly, consumers would have better tools to compare the relative sustainability of different companies and products. Activists would have more documentation to hold companies accountable for greenwashing or failing to live up to their public climate commitments.
The rule is also set to spark an explosion in the businesses of corporate emissions accounting and climate risk analysis. Most companies don’t have the staff or expertise to track their emissions, and thus will have to turn either to specialized climate-specific firms like Watershed or all-purpose corporate accountants like Deloitte to manage the disclosure process for them. Similarly, analytics giants like Moodys and S&P Global will also be called upon to feed company data into climate models and spit out risk reports.
Both exercises come with inherent challenges and uncertainties. Climate risk researchers have warned that rating services keep their methodologies in a black box, making it hard to know whether they are using climate models appropriately. “The misuse of climate models risks a range of issues, including maladaptation and heightened vulnerability of business to climate change, an overconfidence in assessments of risk, material misstatement of risk in financial reports, and the creation of greenwash,” wrote the authors of a 2021 article in the journal Nature Climate Change.
“When you ask, ‘What is my exposure to future climate risks?,’ you're asking for a projection of future climate states and probabilities of different future climate outcomes and extreme weather events. There's an enormous amount of scientific uncertainty and complexity in getting to that,” Cullenward told me.
But while neither emissions accounting nor climate risk assessment may be perfectly up to the task yet, Cullenward argued that’s all the more reason for the SEC to get these rules in place.
“If you don't ask people to disclose what's going on, it's just sticking your head in the sand,” he said. “No one will ever know how to do it perfectly, getting out of the gate. To me that is not a reason to stop or to slow down, that is a reason to get started.”
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What 700 math problems say about the AI economy’s biggest open question
This is Heatmap Daily, an evening news digest written by our executive editor. Subscribe here.
Happy Monday and welcome back.
It’s been a big weekend: I’m fairly certain Saturday Night Live mentioned Heatmap’s data center polling in one of its Weekend Update segments over the weekend. Watch here.
There are 22 days to the midterm elections here in the United States. We’ll soon enter that pre-election wormhole where only national politics can break through. So today I wanted to look at a story that might, on its face, seem like it has nothing to do with climate or energy. And warning: It’s a little bit of a weird one.
Last week, OpenAI released what it described as the solution to more than 700 open problems in mathematics. Many of the problems, such as the Quasi-Riemann hypothesis, had gone unsolved for decades. Some of the solutions came with proofs written in the programming language Lean.
The release made a stir in part because OpenAI had reached the solutions by using an internal model — that is, a version of ChatGPT not yet open to the general public. In a statement, the Association for Human Mathematics lambasted OpenAI for using an internal model to do research, violating what it described as a precept of AI-driven math research. (I’ve since seen speculation that OpenAI may not have even meant to solve the problems, but gave them to the internal model as a test … and then got the answers.) It’s also not clear whether all of OpenAI’s 700 solutions are correct — in many cases the proofs are so intricate that mathematicians are still wrapping their heads around them.
“There are some sad stories related to their users getting scooped [and] conflicts of interest,” Levent Alpöge, a mathematician at Anthropic, posted on X. “It’s obviously the most significant moment in mathematical history.”
On Friday night, the UCLA mathematician Terence Tao gave a pre-planned lecture at Caltech about what he called “Math 2.0”; it considered the revolution the field had seemingly undergone in the previous few days. (He posted the slides to his blog over the weekend, and I’m using them to summarize his talk here.) For most of math’s history, he said, the field operated under “proof scarcity,” in which finding a solution to an open math problem and confirming it as true was “difficult and rare,” requiring “significant human expertise.”
But AI, it has turned out, is well suited to solving math problems. This is partly because math, like the large language models themselves, is entirely conceptual, so confirming a proof as true requires no recourse to the physical. But it’s also because math’s solutions are “objectively verifiable”: “There is broad consensus on what constitutes a correct and complete proof of a given problem,” and thanks to the existence of proof programming languages like Lean, they can even be checked by computer.
The end result is that math is now entering a world of “proof abundance,” he said.
That is, perhaps surprisingly, a problem for math’s practitioners, and it will mandate a new intellectual regime for the discipline. Mathematicians have often used open problems as “lighthouses,” Tao wrote, “not destinations to be reached … but useful guides to explore the mathematical landscape.” Mathematicians often learn more in the solving than in the solution, in other words. But if mathematicians can now generate shortcuts to math problems without knowing how they got there, or even how the problem works, then actual human mathematical understanding will suffer. (One way to understand this is that mathematicians are now dealing with the same problem that math teachers have faced since the invention of the pocket calculator: How do you confirm students actually understand the material? Except the world’s most elite mathematicians themselves are the students in question.)
This disconnect can pose its own AI alignment problems, Tao said, analogizing math to pharmaceuticals. Suppose an advanced AI found what appears to be a cure for cancer that can pass a stage 3 clinical trial: “After a large amount of compute, it produces a cocktail of previously unknown chemicals which it claims, when mixed and injected into a patient, will kill all their cancer cells,” he said. It even generates a programmatic proof of the cocktail’s effectiveness.
“Before injecting this cocktail into your bloodstream,” he asked, “would you find it reassuring to know that there is at least one human cancer expert who understands — even partially — the mechanism behind this cure?” If not, you can see mathematicians’ problem, confronted by a surfeit of proofs that seem to work, but nobody who can explain how or why they do.
Now, Tao’s analogy is somewhat peculiar because something like this actually does happen all the time in medicine: Doctors still don’t fully understand how many drugs work, including acetaminophen, SSRIs, and lithium. (That said, those compounds were identified by trial and error, not by a mechanical superintelligence.) But the broader situation that Tao is painting — as well as the crisis posed by OpenAI’s 700 proofs — get at a significant question with economic importance far beyond just math: Will AI solve the economy’s secular attention shortage or worsen it?
This question has greater import than it may seem — but let me qualify what I mean by “attention shortage.” Writing in 1971, the economist Herber Simon observed the sudden superabundance of information that had exploded in every economic domain. There were more facts, data, news articles, and opportunities than any individual or organization knew what to do with. He pointed out that this newfound “wealth” of information implied an insufficiency of something else: attention.
“What information consumes is rather obvious: it consumes the attention of its recipients,” he wrote in Designing Organizations for an Information-Rich World. “Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”
He wrote this, of course, well before the advent of internet, smartphones, sensors, or networked cameras — all of which have worsened the problem. But in the ensuing half century, the economy has learned to deal (or at least intermittently manage) this secular scarcity of attention. Much of what we now call knowledge work is devoted to filtering, siphoning, processing, and otherwise attending to the information superabundance.
AI is, in theory, supposed to help address this same set of problems. AI is commodified attention — or, at least, that is its promise. (The most important machine learning paper of the past decade, after all, is entitled “Attention Is All You Need.”) Many AI products, such as Meta’s Muse, now want you to believe that by ceding control of your email, your calendar, your restaurant reservations, and your digital life to AI, you will gain an attentional edge. The AI will do the grunt-work of attending to boring things for you, and you will feel less overwhelmed. If this vision comes true, the economy’s mismatch of information and attention will prove to be a short-lived historical blip.
But the past week of math news and Tao’s “Math 2.0” regime suggest a different scenario is more likely, at least in the immediate near term. By allowing far faster and more automated information production, AI will create a new, more vicious, and even more abstract form of information overload. Every profession and intellectual discipline will be overwhelmed with new papers, ideas, observations, proofs, or choices. Yet the human understanding required to convert this new information into useful action will become even more scarce. In such a world, AI will not solve the economy’s attention shortage, but worsen it.
I’m not sure which world would be worse for humanity, to be candid. One world suggests the eventual automation of all human effort. But in Tao’s world, many of us might still have jobs — they will just involve even more filtering, sorting, and processing of an ever-deepening pile of automated idea generation than we do today.
And what is the connection to climate and energy? One easy connection might be to the permitting process: If you think a new transit line (at the local level) or transmission line (at the state or federal level) could be overwhelmed with procedural concerns 10 years ago, wait until you see what happens when information itself can be mechanically produced. But that is only one example of a more general problem. Soon, if not already, any process of providing input to an important policy question — on energy, decarbonization, or anything else — will be overwhelmed with facially high-quality analysis. It will be left to policy officials and elected leaders to sort through it.
This past weekend’s storms caused flooding and property damage up and down the coast — and it’s going to get worse.
California has around 3,400 miles of shoreline, ranging from the wild, foggy beaches of the North Coast to the sunbather-studded sands of Orange and San Diego counties. That’s a whole lot of border to share with the Pacific Ocean, especially when the water is as hot and tempestuous a neighbor as it is right now.
Just ask the city of Long Beach, which this weekend was on the receiving end of some Super El Niño mischief. Swells from the storm briefly dubbed Hurricane Rachel “annihilated” beachfront mansions and flooded city streets, causing pieces of the local boardwalk to “shred away.” “It’s never happened like this before,” one resident of 64 years told the New York Post.
But while things might look bad in California at the moment, they can still get much worse. One disaster modeler recently estimated the state could see as much as $3 billion in flooding and mudslide-related losses alone this winter — not to mention coastal erosion, king tides, and storm swell. Governor Gavin Newsom declared a state of emergency at the end of September, while many cities, including San Diego, have declared their own local emergencies.
El Niño will likely peak in December, meaning that towns and cities across the state have just a few remaining weeks to finalize projects, whether that means improving drainage in landslide-prone environments such as Rancho Palos Verdes or distributing NOAA weather radios in areas likely to lose power, as emergency managers are in Santa Cruz. The approaching winter storms, combined with El Niño, represent “a humbling reminder of the ongoing effects of climate change and the importance of emergency preparedness,” Laath Martin, the public affairs lead for the city of Long Beach, wrote to me in an email.
El Niño is a cyclical phenomenon, occurring when temperatures in a particular stretch of the Pacific Ocean rise half-a-degree Celsius above the average of the preceding 30 years. But there are signs these natural variations are happening less predictably because of climate change, and we know for sure that a warmer atmosphere makes the baseline for its impacts worse: king tides, Kelvin waves, and storm surge piggyback on top of rising sea levels to result in more severe coastal flooding and erosion. A warmer atmosphere also holds more water, which means more rain — perhaps 200% above normal — which, in turn, results in flooding and mudslides further inland, as well.
“Based on what I am seeing now, I am officially concerned,” Daniel Swain, a climate scientist at the University of California Agriculture and Natural Resources, said last week after reviewing the latest outlook. There’s a reason this year’s El Niño is being called a Godzilla.
In general, the weather pattern causes the jet stream to shift south in the winter, bringing wetter and snowier conditions to the lower U.S. while the northern part of the country stays drier and mild. (It’s also responsible for a weaker Atlantic hurricane season, as we’ve already seen this year.) In addition to El Niño-driven Kelvin waves, warm bulges of water that raise the sea level on the coast by as much as 18 inches, the state of California — and particularly southern California — sits directly in a storm track that will deliver “atmospheric rivers” of heavy rain to a region prone to landslides and flash floods.
In many parts of the state, that rain will test the best-made plans in addition to plans deferred. In Los Angeles, the Department of Sanitation and Environment, or LASAN, has told the City Council it has concerns about the ability of the aging wastewater pipes and plants to handle heavy rainfall associated with a supercharged El Niño. In San Diego, which requires some $3.3 billion to upgrade what is in some places a century-old wastewater system, emergency managers are preparing to work with what they have by clearing debris and brush that could back up in the drains, CalMatters reports. In both cases, the time required for systemwide repairs far exceeds the time remaining before the winter’s supercharged atmospheric rivers are due to arrive. (Rezende told me inland flooding affects more businesses and residents in San Diego than coastal flooding, since the population in the city is set further back from the coastline.)
The city of Roseville, northeast of Sacramento, by contrast, is leaning on decades of flood planning to get through the season. After a series of back-to-back storms in 1986 that killed 13 people and caused $400 million in damage, the city and FEMA invested $39 million to upgrade Roseville’s infrastructure, including widening streams and adding levees and stormwater bypass channels. With more accurate floodplain modeling that has “helped keep new construction at higher elevations,” Helen Dyda, the city manager’s public information officer told me that “less than 7% of the city is within a floodplain” today. Dyda added that the city prepares for winter storms every year — it has some 160 miles of creek shoreline, after all — but that the El Niño-specific preparations are, as a result, more similar to routine maintenance: “clearing more dense vegetation and fallen trees from key creek areas.”
Long Beach is caught somewhere in the middle. After swells from Hurricanes Marie and Polo hammered the city in September, Long Beach hastily developed a seven-point plan to strengthen its peninsula in the near and long term. It will also begin a $11.4 million dredging project this fall that will place 415,000 cubic yards of sand on the beach as a buffer zone. “While this effort will achieve a much-desired result, it will not stop the ocean from pulling sand from the peninsula with every wave, especially during the significant weather systems Long Beach continues to experience,” Martin, the city’s public affairs lead, wrote to me. “Back-passing will need to continue to return sand back to the peninsula each day until more permanent, long-term man-made and environmental solutions can be identified, permitted and implemented.”
In certain cities, preparations for the peak of El Niño overlap with ongoing repairs from the last bad storm season. In Santa Cruz County, the 2016 El Niño caused an estimated $9 million in damage, while many in the community of Pajaro are still recovering from the flood damage caused by a series of severe atmospheric rivers in 2023. “We have a list of hazards that the city is vulnerable to, and we plan for all of them not individually, but all together,” Meredith Albert, Santa Cruz’s emergency management manager, told me. She added that many of the city’s preparedness activities and El Niño initiatives, like urging the community to be prepared to spend 72 hours unsupported, overlap with other disasters it works year-round to prepare for, like earthquakes, landslides, and wildfires.
“El Niño turns up the volume a little bit, but it doesn’t necessarily change our hazard landscape,” is how Albert put it to me.
Santa Cruz has not declared a local state of emergency, and Albert told me they won’t until they “run out of resources.” Other cities, like San Diego, have declared one preemptively. “In the past, you’d have to go through a longer review if you wanted to make some headway on projects, and sometimes that would take many weeks or many months of permitting,” Rezende said. “With a state of emergency, we streamline that process and get projects in the queue.”
Both Rezende and Albert told me the governor's statewide emergency declaration mostly helps state agencies position themselves for a faster response or has implications for higher-level permitting processes. (In Carlsbad, for example, which has seven miles of badly eroding beach, just one mile is controlled by the city; the other six are managed by the State Parks.) The state has also teamed up with ICEYE, a satellite imaging company, to receive information about flooding even in the dark or through rain clouds.
No state of emergency, though, can make it so a city can replace a century-old sewer system by Christmas or reengineer a beach by the time January’s storms begin to make landfall. But if a Godzilla analogy fits the onslaught of a super El Niño, it also offers a classic disaster-movie lesson on how to survive it.
Albert’s advice for how to prepare? Ask a neighbor for a cup of sugar. Take their dog for a walk. Build a relationship that could prevent a tragedy. “We know that our city will be cut off for at least a couple of days,” she told me of a hypothetical major disaster, referring back to Santa Cruz’s experience after the 1989 Loma Prieta earthquake, which cut off the city’s power, communication, and supply lines. “And we also know that we can’t build those relationships during the disaster. We’re trying to build them before.”
The city is doing a lot to prepare for the storm, she said. “But the question is also, what are all of us doing?” Albert went on. “You know better than I do, at the city level, who’s not going to receive that alert,” whether that be an elderly or unhoused neighbor or a nonnative English speaker who might not receive or understand emergency communications.
“Check in on a neighbor” is easier said than done — active engagement and connection to one’s community is trending downward in most parts of the U.S. But the people and places that bounce back from disaster and tragedy are almost uniformly the ones that look after each other. Borrowing a cup of sugar, to this introvert, sounds like a nightmare. But there’s never been a better time than a Godzilla El Niño to bake a poorly resourced cake.
Heatmap News is looking for an ambitious, energetic senior editor to join our growing newsroom.
The senior editor will report to the deputy editor of the website and will be tasked with assisting in running all aspects of our coverage. This individual will be the primary editor on many of the site’s stories, including breaking news, features, and long-term projects, on topics ranging from permitting reform to decarbonized fuels to greenhouse gas accounting to the electric vehicle market. This person will also play a role in overseeing and furthering our cross-platform efforts such as newsletters, events, and podcasts. Additional duties will include managing and maintaining the site’s social media presence and digital production on stories, newsletters, and podcasts.
Candidates should be intellectually curious news junkies with a deep interest in climate change and the energy transition. They should have a proven ability to work in a fast-paced digital newsroom, spot great angles, line edit stories, and change hats quickly as needed. They should also be responsible, reliable, and a good colleague.
Candidates should have 5+ years experience editing for a digital publication. A background in climate or energy coverage is an obvious plus, but compelling candidates from other verticals, particularly politics and business, will also be considered. Heatmap is a fully remote workplace, so candidates from all U.S. locales are encouraged to apply.
Above all, candidates should be passionate about Heatmap’s mission and absolutely thrilled about building something from the ground up.
The salary minimum is $100,000 and the maximum is $120,000. Competitive benefits, unlimited paid time off, and a generous equity plan, which gives employees a real stake in the company, are also offered. This position is remote.
Interested candidates should send a brief cover letter and resume to editors@heatmap.news with the subject line ‘Senior Editor Application.’
Heatmap News is a media platform focused on the energy transition.
Heatmap News is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.
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