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The new rules are complicated. Here’s how to make sense of them if you’re shopping for an electric vehicle.

The Department of Treasury published new rules last year that will determine which new electric vehicles, purchased for personal use, will qualify for a $7,500 tax credit. They went into effect on April 18, 2023, and last for the next decade or so.
These new tax credit rules are complicated. The list of cars that qualify for the new tax credit can change from year to year — and even month to month. Many buyers in the EV market might have a few questions, including: Should I buy that new car now, or should I wait? Which cars qualify for the current tax credit, and which ones will earn the new one?
This is Heatmap’s guide to the new tax credit, why it matters, and what to keep in mind as you go EV shopping.
If you’re an ordinary American buying a brand-new EV to run errands and pick up the kids, these new rules apply to you. They will determine which cars you can get a federally funded discount on.
If you’re not buying a new car for personal use — because you’re getting it for your business, say, or because you’re buying a used EV — these new rules don’t apply to you. But you may qualify for other new subsidies. We get into those below.
And even if you are in that first category, you may discover it’s much cheaper to lease a new EV instead of buying it outright. We get into why below, too.
They completely change how the United States approaches the EV industry.
During the Bush and Obama administrations, the U.S. was focused mostly on getting automakers to begin to experiment with EVs. So it discounted the first 200,000 or so electric vehicles that each manufacturer sold by up to $7,500. If a company had cumulatively sold more than that number over time, as Tesla and General Motors eventually did, then the discount expired. By 2022, that had led to a peculiar situation where foreign automakers, such as Hyundai, could use the subsidy, while some of the largest American automakers couldn’t.
Now, U.S. policy is focused on two goals: (1) building up a domestic supply chain for EVs and (2) getting more EVs on the road. So the tax break is completely uncapped — any automaker can use it as many times as possible if they meet the criteria.
But many new requirements apply: Only cars that undergo final assembly in North America will qualify for any of the tax credit. Then, cars with a battery that was more than 50% made in North America will qualify for a $3,750 subsidy. And cars where at least 40% of the “critical minerals” used come from the U.S. or a country with whom we have a free-trade agreement will qualify for another $3,750 subsidy.
Those percentage-based requirements will ramp up over time. By 2029, for instance, 100% of a car’s battery and battery components must be made in North America.
Because Congress said so. The Inflation Reduction Act, which Democratic majorities in the House and Senate passed last year, mandated this change to the EV tax credit as part of its broad expansion of American climate policy.
Initially, fewer EVs will receive a subsidy under the new rules, Biden officials say. On a press call with reporters, a senior Treasury official argued that more cars will eventually qualify under the new rules than qualified under the old ones.
This year, at least 15 car or light trucks will receive some or all of the credit. Only some of those vehicles will qualify for the full $7,500 tax credit; some will qualify for a partial $3,750 tax credit. Here is the full list of qualifying models, along with the amount of the tax credit that they will earn:
• Audi Q5 TFSI e Quattro PHEV ($3,750)
• Cadillac LYRIQ ($7,500)
• Chevrolet Bolt ($7,500)
• Chevrolet Bolt EUV ($7,500)
• Chrysler Pacifica PHEV ($7,500)
• Ford Escape Plug-in Hybrid ($3,750)
• Ford F-150 Lightning, Standard & Extended Range ($7,500)
• Jeep Wrangler PHEV 4xe ($3,750)
• Jeep Grand Cherokee PHEV 4xe ($3,750)
• Lincoln Corsair Grand Touring ($3,750)
• Rivian R1S, Dual Large & Quad Large ($3,750)
• Rivian R1T, Dual Large, Dual Max, & Quad Large ($3,750)
• Tesla Model X Long Range ($7,500)
• Tesla Model 3 Performance ($7,500)
• Tesla Model 3 Long Range AWD ($3,500)
• Tesla Model Y AWD, Rear-Wheel Drive, & Performance ($7,500)
• Volkswagen ID.4 AWD PRO, PRO, S, & Standard ($7,500)
Some vehicles that earned the full tax credit in 2023, such as the Ford Mustang Mach E, don’t qualify for any benefit as of January 2, 2024.
Yes. A few examples: The Hummer EV, which costs more than $110,000 a piece, won’t qualify for either the new or old tax credit — it’s too expensive. And the Polestar 2 won’t qualify because it’s assembled in China.
Yes. Starting this year, the U.S. is preventing cars that receive too much manufacturing input from a “foreign entity of concern” — that is, China — from qualifying for any of the tax credit. This has reduced the number of vehicles that qualify for the $7,500 bonus.
This year, the government will also allow buyers to refund their EV tax credit at the dealership. That means buyers can now get up to a $7,500 discount at the moment when they buy their car instead of waiting until they file their taxes in the following year.
Yes. A married couple must have an adjusted gross income of less than $300,000 a year, and a single filer must have an AGI of less than $150,000 a year, to qualify for any aspect of the subsidy. A head-of-household must have an income of less than $225,000 a year.
Yes. Under the proposed rule, cars must have an MSRP below $55,000 to qualify for the credit. Vans, pickup trucks, and SUVs must have an MSRP below $80,000.
Yes. The Inflation Reduction Act also included a new $7,500 tax credit for EVs used for any commercial purpose. The Treasury Department is expected to interpret that provision to cover leasing, but it hasn’t announced the guidelines for that rule yet, so we don’t know for sure.
But the provision will probably tilt new EV drivers toward leasing their car rather than buying it outright, because the dealer should — emphasis on should — offer relative discounts on leasing vehicles as compared to buying them.
Yes. There’s also a new $4,000 tax credit for buying a used EV that costs $25,000 or less. It went into effect on January 1, 2023, so you can go ahead and use it today.
But note that it has even stricter income limits: Married couples can only take advantage of it if they make $150,000 or less, and other filers if they make $75,000 or less.
Here’s the list of cars that qualified for the $7,500 tax credit before April 18, 2023, according to the Department of Energy.
• Audi Q5 TFSI e Quattro (PHEV)
• BMW 330e *
• BMW X5 xDrive45e**
• Cadillac Lyriq
• Chevrolet Bolt
• Chevrolet Bolt EUV
• Chevrolet Silverado EV
• Chrysler Pacifica PHEV
• Ford E-Transit
• Ford Escape Plug-In Hybrid *
• Ford F-150 Lightning
• Ford Mustang Mach-E
• Genesis Electrified GV70
• Jeep Grand Cherokee 4xe
• Jeep Wrangler 4xe
• Lincoln Aviator Grand Touring *
• Lincoln Corsair Grand Touring *
• Nissan Leaf
• Nissan Leaf (S, SL, SV, and Plus models)
• Rivian R1S
• Rivian R1T
• Tesla Model 3 Long Range
• Tesla Model 3 Performance
• Tesla Model 3 RWD
• Tesla Model Y All-Wheel Drive
• Tesla Model Y Long Range
• Tesla Model Y Performance
• Volkswagen ID.4
• Volkswagen ID.4 AWD, Pro, and S models
• Volvo S60 PHEV *
• Volvo S60 Extended Range
• Volvo S60 T8 Recharge (Extended Range)
* These cars don’t qualify for the full $7,500 subsidy, although they all receive at least a $5,400 tax credit.
** Only some BMW X5 xDrive45e vehicles qualify — it depends where the car was made. Check the VIN or ask the dealership to confirm it was made in North America before buying.
This story was originally published on March 31, 2023. It was last updated on March 5, 2024, at 10:00 a.m. ET.
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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.