Climate

Biden’s EV charging standards still need cash to back them up

Standards could help bring down the cost of EV charging, but billions of dollars are still needed to build the Biden administration’s dream network.

President Joe Biden is lit by a spotlight and holds a microphone as he talks in front of a large American flag.

The Biden administration is rolling out money and standards for EV charging. But it's not enough.

Photo: Gage Skidmore/Flickr

The Biden administration’s electric vehicle charging standards are set to create a national charging network that’s reliable, accessible and, ideally, fast. The prospect of easing range anxiety could make the EV-curious take the plunge.

But for all the fanfare about the administration’s vision of a 500,000-strong network of fast chargers blanketing the country from coast to coast, the plan to make that a reality is running up against, well, reality. The administration has $7.5 billion set aside to build out a charging network courtesy of the bipartisan infrastructure bill.

“There are two ways to look at this $7.5 billion for EV charging,” Sara Baldwin, the director of Electrification Policy at Energy Innovation, told Protocol. “It is a historic investment in the EV charging network in America. We've never seen this amount of money dedicated [to charging].”

But Baldwin pointed to the paradox at play with this, as well as nearly every other climate investment and policy: It’s not enough. The $7.5 billion is great as a down payment, but a speedy, standardized charging network that spans the U.S. is going to cost a lot more.

An analysis by Energy Innovation along with researchers at GridLab and the University of California, Berkeley, that came out well before the charging standards were released this week found that the country needs to invest $6.5 billion in charging infrastructure annually for the next 30 years.

The scenario the team modeled had the U.S. on track for 100% light-duty EV sales by 2030, which is much more aggressive than the Biden administration’s target of 50% by that date. Still, modeling by Atlas Public Policy, an EV policy research group, found that public EV fast chargers would require $39 billion in funding over this decade to keep the U.S. on track to get to 100% EV sales by 2035. That’s still more aggressive than the Biden administration’s EV sales target, though it’s much closer to what most research indicates is needed to keep on a net zero emissions pathway.

Not all funding for charging needs to come from the federal government, of course. But it’s an important catalyst to leverage more private and state-level investments. (That’s something the bipartisan infrastructure law cash is supposed to do.)

If there’s one area where the charging standards could be a huge boon, it’s in helping bring costs for charging infrastructure down. Baldwin pointed out that standards for things like LED lights have helped make what was once a niche and expensive — and frankly not the best — technology affordable to the masses both upfront and over time. Ditto for other appliances and cars, which now get much better gas mileage and pollute far less to boot. If the charging standards follow a similar path, then it could help stretch investments further.

Ultimately, more widespread charging could make range anxiety a thing of the past. And having a network where you get the same thing from state to state, much like the current network of gas stations, could further allay any would-be EV owners’ concerns of waiting hours to get some juice.

But building out a charging network without also making EVs more accessible to everyone will be a huge missed opportunity. Baldwin said revamping EV tax credits to be both more generous than the current $7,500 and not phase out at 200,000 vehicles per manufacturer would be key to ensuring any charging network actually has users.

“It would be silly to wait for an EV incentive once infrastructure is in place, because you're going to run into a situation where the infrastructure is all built out and there are not enough cars to use it,” she said. “So there's this economic disincentive for both private investments as well as public investments. On the flip side to that, if you have a great incentive, and a bunch of people are buying EVs, and they don't have a charging infrastructure to support their road trips and their daily use? Then that's also going to hinder adoption. They really need to happen in parallel.”

The version of the Build Back Better Act passed by the House last year had both more money for charging and more generous EV incentives. It died in the Senate, however, thanks to Sen. Joe Manchin saying he couldn’t vote for it. (So did 50 Republican senators.) Manchin has said he’s open to working on a narrower version of the bill, but he’s explicitly said that more EV tax credits are “ludicrous.” So it may be that we end up with good standards for charging and more money to build out the network, but a policy that’s key to unlocking the EV future might still be missing.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins