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The Motocompacto is silly, impractical, and a lot of fun.

Ever since moving back to New York City a year ago, I’ve gotten really into e-biking. The city upped the number and quality of e-bikes in its bikeshare program, and I’ve been
taking full advantage. But the e-bikes are so popular, they aren’t always available, and I’ve been wondering if it might be time to invest in my own ride.
Enter the Motocompacto. Honda’s new whimsical, seated e-scooter immediately caught my eye when I saw a story announcing its pending arrival in September. I live on the third floor of a building with no bike storage, so I was intrigued by the possibility of folding up the Motocompacto and carrying it up the stairs. And at $995, it was cheaper than most e-bikes on the market, which tend to range from $1,200 to $3,000. Also, just look at it.

But also ... just at look it. Why does it resemble a suitcase? Can you ride around on it without feeling completely silly? And why did Honda, which doesn’t even have a fully electric vehicle yet, make this thing?
The scooter became available for purchase Wednesday at Honda and Acura dealerships around the country, and I jumped at the chance to find out.
I already knew the Motocompacto had a fun, retro backstory. It was inspired by the
Motocompo, a badass miniature motorized scooter that Honda sold in Japan between 1981 and 1983 as an accessory to another sweet Japan exclusive, the Honda City. But there’s a lot more to the story, as I found out when I arrived at the test-drive site in Manhattan on Wednesday, and met with Jane Nakagawa, the vice president of the research and development business unit at Honda, and Nick Ziraldo, a design engineering manager who led the product development.
Nakagawa told me the scooter was initially pitched for an annual contest at the Honda design studio. The concept was the McDonald’s Happy Meal — or rather, the collectible toy inside that lures children. A designer of the Prologue, Honda’s upcoming entry in the electric vehicle space, wanted to find a way to make Honda’s EVs stand out in a crowded field. “He said, ‘what if the Motocompacto was the toy, and the burger was the car?’” Nakagawa recounted.
It’s not the cleanest analogy, because the Motocompacto won’t be a free accessory to the Prologue. Then again, the scooter really is very toy-like. My colleague, Jeva Lange, pointed out that it looks like one of those ride-on suitcases for kids.
Anyway, when the idea reached Ziraldo, who typically works on vehicle accessories like trailer hitches and roof racks, he was smitten enough to take it on as a passion project. “I’ve been developing this as a second job at night after my kids go to bed,” he told me. When I asked him if it was exciting to see the Motocompacto out in the real world, he lit up, and said it wasn’t something he ever expected to happen in his career.
He recalled the first time he rode the prototype that most resembled the final product. It was icy outside, so he took the scooter down to the vehicle safety lab where they crash cars. “I waited until everybody went home, and then in the dark, I was riding around by myself on this thing, and it felt fun. It felt like a Honda to me for the first time.”
When I hit the bike path in Manhattan next to the Hudson River, I could see what he meant. At first I felt a little unstable. I’m used to the bulky, heavy, e-bikes, and the Motocompacto is narrow and ultra-light by comparison. But unlike the e-bikes, which tend to lurch forward when you first start pedaling, the acceleration was smooth. I also felt a lot more safe and comfortable on it than I do on a stand-up scooter. Within a minute I was cruising, totally at ease, and grinning like a little kid.
The scooter has two modes, and the speed is controlled by a throttle on the handlebar. The first mode caps the speed at 10 miles per hour, the second at 15. It’s not slow, exactly, but it’s slower than the 20 miles-per-hour that the electric Citi Bikes can achieve. I wondered how it would fare going up a hill, or bumping along one of the city’s more torn-up streets — especially since the body rode so low to the ground. And as Citi Bikes sped past me, I did feel a bit silly.
Ziraldo said they capped the speed at 15 mph because if it went any faster, you’d need a license and registration to drive it, according to regulations for this class of scooter. The bike also only has a range of 12 miles on a single charge. That would probably be enough for my needs, assuming I’d remember to be diligent about charging it. (A full charge takes about 3.5 hours.) But most e-bikes and scooters on the market have a range closer to 30 miles, if not more.
As for portability, I found it a bit laborious to pack up and then reassemble , though I’d probably get the hang of it with practice. Ziraldo, a seasoned pro, had it down to less than 30 seconds. The weight — just over 40 pounds — also felt heavier than I’d hoped, but manageable.
The most befuddling aspect of the design was the lack of storage space. Ziraldo suggested that you could stow a water bottle or laptop in the narrow slot in the body of the vehicle. The problem is, that’s where the seat and handlebars go, so you’d probably have to take everything out if you wanted to fold up the scooter upon arrival.
Which leads me to the question of who, or what, is this rideable attaché case for? Though it checks a lot of boxes, I came to the conclusion it wasn’t quite rugged or all-purpose enough for life in New York. I could see it being a fun option for a ride to school in the suburbs, or getting around a more sprawling city with better maintained roads. Ziraldo thinks it will be helpful for “last mile” trips, like the distance between one’s house and a transit stop, or a parking garage and a final destination. He also thinks of it as the “perfect campus commuter.” That’s probably the scenario that felt most realistic to me.
I got the impression that the team at Honda prioritized making a winsome little ride over more practical matters. “In the end, there were certain non-negotiables,” Nakagawa told me. “That overall shape was non-negotiable, and the fact that everything folds into it was non-negotiable.”
There’s nothing wrong with making a showpiece or a plaything, but the Motocompacto seems more primed to become a supplement to driving than a serious alternative. And while the scooter will certainly appeal to adults, I suspect the product might be more successful with a younger audience. “In fact, we’re kind of excited that it could be the first new Honda for a 12 year old, you know, without a driver’s license,” Nakagawa told me. “That’s something we’re looking forward to.”
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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.