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Obvious Ventures’ Andrew Beebe and Generate Capital’s Scott Jacobs reflect on the past, present, and future of climate tech.

Climate tech investors have a lot to take stock of at the end of 2024. The macroeconomic environment is shaky and investment in the space is down, but there’s plenty of cash reserves lying in wait. Artificial intelligence and its attendant data center power demand may or may not be the downfall of a future clean electric grid. And in case you missed it, Donald Trump was elected once more, this time drawing the world’s most successful — and notorious — climate tech CEO into his fold.
This week I spoke with two veterans of the industry about all these trends and more — Andrew Beebe, managing director of the venture capital firm Obvious Ventures, which has over $1 billion in assets under management, and Scott Jacobs, co-founder and CEO of the comparably huge sustainable infrastructure investment firm Generate Capital, which has raised over $10 billion to date. And while Beebe sounded jazzed about the year to come, Jacobs struck a more downbeat note as he delved into the difficult realities that climate companies are facing.
Beebe reflected positively on 2024 as a whole, though he is historically both an optimist and a contrarian. Venture funds spent this year accumulating capital, a.k.a. “dry powder,” although that doesn’t mean investment into climate tech companies has actually increased.
“Those investors are now going to be very prudent and judicious with their capital,” Beebe told me, emphasizing that we’re likely already seeing the impact of this circumspect approach. Climate tech investment has declined sharply from its peak in 2021 and 2022, when many experts believe the market was running too hot. Though he didn’t have the numbers on hand to back it up, Beebe told me he suspects investors are sitting on more cash now than they were three years ago.
Jacobs, on the other hand, sounded passionate but weary as he mulled over the past year. “This year is a lot like the 10 years we’ve been in business in many ways, which is tough,” he told me. Based on numbers alone, Generate had a successful 2024, raising $1.5 billion from institutional investors and $1.2 billion in flexible loans while making $2 billion in investments. But Jacobs emphasized that the type of flexible, large-scale infrastructure funding that Generate specializes in is always going to be a grind. As he explained to me, getting limited partners to invest in Generate for the long-haul has been a perpetual challenge and the capital costs of running the firm are high, thanks partly to the labor needs of operating and maintaining infrastructure projects.
Jacobs didn’t say this year was any more challenging than normal, simply that Generate’s fundamental model is an all-too-necessary but heavy lift. While a typical VC like Obvious might fund a series of early-stage companies in exchange for equity that could pay off big in a few years, Generate’s paradigm is much more hands on, as it involves owning and operating many of the projects it finances, raising so-called “permanent capital” from LPs that allows it to manage assets indefinitely, and deploying a variety of customized project financing options for its partners.
“I think we’re all very comfortable with the grittiness that is necessary to be sustainable infrastructure investors and operators, but it does tire you out,” Jacobs said. And he doesn’t see an end to the noble slog.
Ultimately though, Jacobs doesn’t think that Generate and its partners are particularly at risk in this uncertain political and economic moment. A policy outlook that the firm published last month stated, “We do not expect the funding environment for sustainable infrastructure projects to be imperiled now that the market is experiencing more headwinds. Rather, we anticipate a flight to quality.” But Jacobs is far more pessimistic about the rest of the climate tech ecosystem. Like many investors that I’ve talked with lately, Jacobs referenced a famous Warren Buffett quote to characterize this moment: “You don’t find out who’s been swimming naked until the tide goes out.”
With investors pulling back and startups taking longer to raise growth funding, Jacobs thinks lots of companies will soon find themselves exposed, even if they don’t know it yet. “I continue to be surprised by the optimism bias in our space,” he told me. While he understands that optimism is “inherent to survival” when standing up companies that aim to address the climate crisis, he thinks many of his peers are ignoring clear negative signals.
“It’s less about the election and more just about the last three years of performance and the last three years of capital flows,” Jacobs said. That is, while another Trump term will likely bode poorly for many startups and investors, climate tech companies are also facing a series of unrelated headwinds that have contributed to falling investment and fewer exit events, including inflation,high interest rates, geopolitical instability, and China’s flooding of the market with cheap tech.
“Northvolt’s bankruptcy, I think, is the first big shoe to drop,” Jacobs told me. “But there could be as many as a dozen more of those that are really high profile climate tech flame-outs that make it seem like we learned no lessons from the first big flame-out” of the early 2010s, of which Solyndra is the most infamous example. That bubble burst as investors failed to grasp the complexity and longer timelines associated with climate tech and backed technologies that lacked a clear path to commercial viability or profitability. This time around, Jacobs told me, “It’s going to be really hard to separate the signal from the noise. And the noise will be very negative.”
Beebe, unsurprisingly, had a more optimistic take on the year to come. As we chatted about how the Trump and Elon Musk duo is prioritizing (at least rhetorically) cutting through red tape to deploy energy projects more expeditiously, a potential upside of the new administration, Beebe jumped in with an even riskier prediction.
“I think that we will see a meaningful number of Republicans in the Senate and the House start to champion climate solutions and sort of attempt to make climate resiliency and fighting climate change more of a Republican issue,” he told me. Like many an optimist before him, Beebe cited the letter signed by 18 Republicans from the House of Representatives asking speaker Mike Johnson to preserve the Inflation Reduction Act’s energy tax credits as evidence that Republicans are getting on board with the energy transition, although a number of the signatories have since lost their jobs.
“Nixon created the EPA. Teddy Roosevelt was a real conservationist. They’re called the conservatives — they like to conserve things, including natural resources. And that has been a hallmark for at least a century — a century-and-a-half — of that party,” Beebe explained. When pro-Trump investors such as Marc Andreessen and Ben Horowitz use terms like “American dynamism,” what he hears “through the fog machines of those kinds of phrases” is a discussion about American competitiveness, which inherently includes a strong, sustainability-oriented energy policy.
Nuclear fission, in particular, looks like a prime target for investment, Beebe told me. He has been happily surprised to see the upswell in bipartisan support for the re-opening and buildout of new reactors, categorizing Microsoft’s effort to restart Three Mile Island as a “watershed event of 2024.” Now, Obvious is open to funding small modular reactors and next-generation nuclear fission tech, which it hadn’t considered before.
If you are feeling emotionally torn after all this, well, same. There were of course points of more neutral overlap between the two investors — both think the power demands of AI simultaneously pose a daunting challenge and a major opportunity to drive deployment of clean, firm energy, and both agree that the climate tech world will soldier on, buoyed by state and local support, regardless of what happens in the White House.
But ultimately, are we poised for a grueling year of climate tech contraction and insolvency? Or a year where investors wisely deploy capital in an environment of emerging bipartisan consensus? Perhaps some of both? As Jacobs told me, regardless of what investors think, the next year, four years, and beyond will be driven first and foremost by customer demand for decarbonization, resilience, and cost savings.
“That is what drives the transition. It’s not financiers who drive it. It’s not technologists who drive it. It’s not even policy makers who drive it. It’s people who want something, they have a problem to solve. And if we solve that problem for them, we tend to get paid.”
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The data center boom is everywhere you look in U.S. economic and emissions data.
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.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.