Sign In or Create an Account.

By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy

Daily Briefing

Climate Is Looming Over the AI Existential Risk Conversation

One of the largest companies in the world says its products pose catastrophic peril. Sound familiar?

Dario Amodei.
Heatmap Illustration/Getty Images

This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.

Imagine, for a moment, a vast and growing firm — a conglomerate that could be said to define its era of American capitalism. Over the past several years, this firm’s products have become the biggest story in the U.S. economy. Its products are so mindbogglingly expensive to produce that they have driven new types of financial and infrastructural innovation, yet nevertheless the company seems to be quite profitable.

And little wonder: Everyone wants what they have. Investors, policymakers, and economists believe that America’s ongoing economic growth and competitiveness depend on ample access to this company’s products. The sitting Republican president has staked his administration on making sure Americans can get as much of it as they want — regulations be damned.

But there is a problem. One of the company’s researchers has become convinced that the company’s products are dangerous — so harmful, in fact, that their continued use and growth trajectory portends catastrophic risk for humanity. He attempts to alert the company’s executives to this fact. What happens next?

Perhaps you know the story. In the late 1970s and early 1980s, Exxon’s internal scientists concluded that the ongoing growth of fossil fuels would raise global temperatures and have “potentially catastrophic” effects on the planet’s climate. They presented these results to Exxon’s executives. A senior scientist warned that humanity had a brief window — “five to 10 years” — before “the need for hard choices regarding changes in energy strategies might become critical.”

Exxon led a large research effort into climate change, affirming its scientific validity. But then in the late 1980s, its CEO decided to go in the other direction. Its executives chose not to warn the public about climate change — and instead began a successful disinformation campaign meant to convince the public that climate change was not settled science.

But what if things had gone differently? We’re getting a taste of that pathway now. Last week, Sam Coxon, a researcher at the artificial intelligence company Anthropic, resigned because he feared the AI industry was too close to building an “out of control” intelligence. He quit his job just a few months before his corporate equity would have vested, giving up what would have likely been life-changing wealth to warn about what he believes to be existential risks. Humanity only had a brief period of time — perhaps a year — to steer the technology to a better path, he said.

Anthropic researchers who remain at the company affirmed his analysis. “We really do earnestly believe AI could kill all humans,” a senior scientist at the company posted on the social network X.

But this time, Anthropic’s CEO, Dario Amodei, did not respond as Exxon’s leadership did three decades ago. Instead, Amodei basically agreed with Coxon: He asked for the government to regulate artificial intelligence and “pace the frontier,” meaning that it should enforce a slower rate of cutting-edge artificial intelligence development.

I’ve thought of these two examples over the past few days as I’ve tried to make sense of the surge in public concern about AI and existential risk.

It seems to me that climate change is looming over the AI conversation and shaping the assumptions, outlook, and behavior of many key players and observers. President Trump, of course, is reading from the old playbook and has deemed AI to be a “hoax”; Coxon, appearing on Fox News, has downplayed climate change’s existential risk as compared to runaway AI. Yet even beyond those reruns and revisions, the analogy goes deeper: Just as nuclear non-proliferation agreements structured early attempts to regulate global greenhouse emissions, climate policy is now shaping how people understand AI risk.

And not for lack of cause. In some important ways, the problems — or alleged problems, depending on your perspective on AI — resemble each other. For instance, because technology exists in a global commons, any successful AI diplomacy must involve the United States and China. And since China’s AI development currently lags the United States, American politicians must persuade China that their proposals to regulate AI are not just concealed attempts to restrain China’s development.

This dynamic has long bedeviled climate negotiations, too. Since economic growth has (until very recently) required fossil fuels, China and other middle-income countries have long feared that any global climate treaty would constrain their future economic development. The Kyoto Protocol tried to finesse this problem by splitting countries into two groups, rich and not-rich; the Paris Agreement did it by imposing no collective restrictions on fossil fuel consumption at all.

Neither approach has worked, exactly, but each offer examples, counterexamples, and tools for thought. Perhaps the Montreal Protocol, which has successfully limited global production of the pollutants destroying stratospheric ozone — and has shown how to stop the growth of a dangerous but hard-to-manufacture technology that presents near-term existential risk — is a superior model.

There is at least one big way the two risks differ. Climate change is a chemical problem that arises from the size and scale of global fossil fuel consumption. Scientists have known that the greenhouse effect is real since the early 20th century. Climate change’s physics are rudimentary enough that Exxon’s in-house scientists could predict the path of future warming with some accuracy. It is a verifiable risk.

AI’s alleged existential risks, on the other hand, emerge from a lab pushing the technological frontier too far and drilling, like Tolkien’s dwarves, too deep. AI concern relies not on empirical observations, but on a story about exponential change and runaway growth. In this way, it’s a harder risk to predict, and a harder one to accept.

Climate advocates have long wondered what would have happened if Exxon’s leaders had embraced reality and warned the public in the 1980s that global warming is real and caused by fossil fuels. Inside Climate News once called it a “road not taken.” I can’t help but wonder if we’re watching it.

Blue

You’re out of free articles.

Subscribe to access Heatmap’s expert analysis of energy, climate change, and sustainability, including coverage of our regular survey research. Save $57 on an annual subscription, just $156 $99/year.
To continue reading
Create a free account or sign in to unlock more free articles.
or
Please enter an email address
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Kevin Warsh.
Heatmap Illustration/Getty Images

The Federal Reserve raised the federal funds rate by a quarter point, the central bank announced Wednesday afternoon, its first rate change since Chairman Kevin Warsh took his seat in May and its first rate hike in over three years.

The federal funds rate will now sit between 3.75% and 4%. According to projections by regional Federal Reserve presidents and members of the Board of Governors, the central bank expects to hike rates one more time this year.

Keep reading...Show less
Blue
AM Briefing

'It's a Hoax'

On hydropower, South Korean nuclear, and grid problems

Donald Trump.
Heatmap Illustration/Getty Images

Current conditions: The fast-moving Palos Fire blazed through 17 acres in Los Angeles’ La Habra Heights, injuring two • Heavy rain in São Paulo collapsed a dilapidated building, killing six • The heat index in the Mississippi Valley is topping 110 degrees Fahrenheit.


THE TOP FIVE

1. Trump’s new data center defense: ‘It’s a hoax’

Two weeks after accusing data center opponents of wanting “to end up being backwards and poor,” President Donald Trump has landed on a new defense of the artificial intelligence buildout. It’s a lot like his old one for abdicating on the federal government’s responsibility to deal with climate-changing emissions. Essentially, it boils down to: My critics are making it all up. “It’s a hoax,” Trump told Nvidia CEO Jensen Huang during the five-minute call the executive put on speaker on stage at a conference Monday in Los Angeles. “The robots are not going to be taking over the world. That’s not going to happen.” He later posted on his Truth Social platform: “The AI Hoax being perpetrated by the Radical Left Dumocrats is reminiscent of their Global Warming Scam of not so long ago, where everyone was going to die from extreme heat. What happened? MAKE AMERICA GREAT AGAIN!!!” Three-quarters of Americans are now opposed to data centers in their backyards, according to Heatmap Pro’s poll from last month. But Trump has recently bucked with some populist positions on technology that have cross-partisan appeal. While law-and-order Republicans in red states are now turning against the Flock cameras that watch for petty crime, Trump defended the technology in a recent Air Force One chat with reporters. “Trump deserves more respect for his anti-slopulist instincts,” Peter Meijer, a former Republican member of Congress who voted to impeach Trump during his previous administration, wrote in a post on X.

Keep reading...Show less
Blue
Podcast

Starting a Giant Online Data Platform Is the Easy Part

Rob talks with climate and data expert Hannah Ritchie about her new platform, U.S. Energy Data.

Power lines.
Heatmap Illustration/Getty Images

America has some of the world’s best data about its own internal energy, industrial economy, and carbon emissions. That’s thanks to a federal agency called the U.S. Energy Information Administration, which painstakingly collects and updates the data every week.

But EIA data can be hard to access — and even harder to share and understand. A new project aims to change that. U.S. Energy Data takes federal energy data and repackages it, helping amateurs and experts understand the power grid, liquid fuels, and more. It is now the easiest way to make and share charts with federal energy data.

Keep reading...Show less
Blue