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A Michigan city’s ‘sustainable energy utility’ got the green light from voters. What now?

Listen to the article 13 min This audio is auto-generated. Please let us know if you have feedback. The first time electrical engineer Johanna Mathieu heard about Ann Arbor, Michigan’s plan to create a “sustainable energy utility,” she thought it was crazy.  Even though investor-owned utility DTE Energy already provides the city’s electricity, Ann Arbor […]

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The first time electrical engineer Johanna Mathieu heard about Ann Arbor, Michigan’s plan to create a “sustainable energy utility,” she thought it was crazy. 

Even though investor-owned utility DTE Energy already provides the city’s electricity, Ann Arbor wants to set up its own supplemental utility that will initially focus on installing rooftop solar and battery storage at homes, businesses and other institutions citywide. Eventually, the plan calls for constructing microgrids to allow those buildings to share renewable energy across property boundaries, adding to the power lines that already crisscross the city.

That idea of duplicating grid infrastructure goes against the most basic principles Mathieu teaches her students as an associate professor of electrical engineering and computer science at the University of Michigan, she said. 

“Power grid 101 is you don’t build duplicate infrastructure because it doesn’t scale,” Mathieu said. “That [infrastructure] should be owned and operated by a single company that’s heavily regulated by a state or federal government.”

Voters in Ann Arbor, however, have decided the SEU makes sense: 79% of them voted on Nov. 5 to pass a ballot measure that authorizes the city to establish, construct, operate and own the new utility. The goal of the SEU, which officials hope to begin operating within the next two years, is to ramp up local clean energy generation and make the community’s electricity supply more resilient.

Here’s how the SEU will work when it first launches: It will pay the complete upfront cost of installing rooftop solar and battery storage systems at the homes, businesses and institutions of customers who choose to participate. The SEU will own and operate those systems forever and recover its investment over time by charging customers for the energy the rooftop solar panels generate, said Missy Stults, Ann Arbor’s director of sustainability and innovation. 

When enough neighboring customers sign up for the SEU, the city wants to construct microgrids that let them share their renewable energy. That infrastructure would also allow the SEU customers to retain power even when the main DTE grid has outages.

The SEU will also offer programs to help customers pay for energy efficiency improvements, weatherization and electrification. Plus, it could operate community solar programs with solar power generated in shared spaces of the city and construct networked geothermal systems to heat and cool neighborhoods without burning fossil fuels on-site.

What differentiates the SEU from a standard municipal utility — besides only investing in local clean energy generation and decarbonization — is that it doesn’t seek to fully replace the existing utility. It aims to complement it, giving Ann Arbor residents more choices for where they get their energy. SEU customers will get one bill from the SEU and another from DTE for the energy they use from each supplier. 

As the SEU adds more locally generated clean energy, the community will likely need less power from DTE. However, a 2023 report prepared for the city says it’s unlikely the SEU will fully replace DTE in the foreseeable future. Stults said in an email that modeling shows the SEU could one day provide more than 75% of the community’s total energy needs, but that outcome is unlikely to pan out “for a very, very long time as we’d need almost everyone in the City to sign up to meet that threshold.”

Two people on the roof of a house holding a solar panel. One uses a drill to attach the panel to the roof. Behind the roof are trees and other homes.

Workers install solar panels on a home’s rooftop in Washington state. Ann Arbor’s SEU would initially focus on installing rooftop solar and battery storage at homes, businesses and other institutions citywide.

RyanJLane via Getty Images

Mathieu, the electrical engineer, no longer thinks the SEU is a crazy idea. She now is collaborating with the city as a researcher on the project. Although the SEU may not be the most technically elegant model for energy infrastructure, it is the city’s best bet for quickly ramping up clean energy generation, she said. Other paths, like getting the existing utility to move faster toward clean energy or staging a municipal takeover of its infrastructure, aren’t realistic, she said.

“I’ve explained this to people like, ‘This is the fifth-best solution, but solutions one through four are not viable for a variety of different reasons,’” Mathieu said. “Five is feasible. So, let’s do it.”

Seeking more control

The passage of the SEU ballot measure was a key moment in Ann Arbor’s years-long quest for more control over where its power comes from. The city’s climate goals include using 100% renewable energy citywide by 2030.

Some community members have pushed for the city to buy and take over the existing utility infrastructure through municipalization, but that could take years and cost Ann Arbor upwards of $1 billion. And municipalization efforts often face strong pushback from incumbent utilities, although they can give communities bargaining leverage to convince the utility to make concessions, like lower rates or clean energy commitments.

Others in Ann Arbor have advocated for Michigan to allow local governments to participate in community choice aggregation, which lets cities purchase renewable energy on behalf of residents while the existing utility continues to manage billing and distribution operations. State lawmakers have yet to pass such a law, which would likely face “strong opposition from incumbent utilities,” according to an FAQ document the city produced.

In 2021, “this idea emerged of, ‘Well, could we form a supplemental utility that doesn’t focus on a takeover?’” Stults said. “Because, honestly … the goal wasn’t to own the system. The goal was to generate clean, reliable, affordable power.”

Stults put together a small advisory task force of experts, who determined an SEU would be technically and economically feasible as well as legal under Michigan state law. 

In some ways, Ann Arbor is following in the footsteps of Delaware and Washington, D.C., which have had versions of an SEU in place for years, but those differ from what Ann Arbor is planning, Stults said. Delaware’s SEU, for example, is a nonprofit that offers numerous programs to help home, business, nonprofit and farm owners access renewable energy and make energy efficiency upgrades, but it does not operate microgrids, according to John Byrne, president of the Foundation for Renewable Energy and Environment and a researcher who created the model for Delaware’s SEU. 

How to start an SEU

Creating a new utility comes with startup costs, like hiring a director and setting up a billing system, Stults said. To avoid hoisting those costs onto a small number of initial customers, the city will wait to launch the SEU until its waitlist of potential subscribers hits 20 MW of demand annually. 

Meeting the 20 MW threshold could look something like one or two large institutional partners or a thousand individual residents, Stults said. The city has been in talks with the public school system and other institutions about joining the SEU, and Stults said she expects quite a few to do so.

The picture shifts, however, if Ann Arbor finds grant funding, rather than taking on debt to fully finance the SEU. With grants in the picture, the SEU would need less demand to guarantee initial subscribers would see low rates, Stults said. She is also speaking with venture capitalists about investing in the SEU, and the city is budgeting $250,000 to $300,000 in existing funds to hire a director for the new utility.

The waitlist for the SEU, which the city began publicizing in October, had just over 650 names on it as of Dec. 4, Stults said, but she doesn’t yet know the exact demand that represents or if those are individual households, businesses or institutions. That information collection will likely begin in 2025. 

The SEU’s final electricity rates will be “heavily influenced” by how many people sign up and what financing it gets, according to the city. Stults said the SEU will likely always be able to offer customers lower electricity rates than DTE can, in part because the SEU doesn’t have to generate profits for shareholders and can access capital with low interest rates, given the city’s AAA municipal credit rating. 

Customers can join or leave the SEU at any time, although if they leave, the city will remove the infrastructure it owns from that building, Stults said. The cost of removing such infrastructure, along with the cost of equipment depreciation and replacement, will be built into the rates.

A person wearing yellow glasses, large earrings and a yellow cardigan speaks.

Ann Arbor Sustainability and Innovations Director Missy Stults speaks about the SEU in an Aug. 14, 2024, episode of Green Light, a public access TV show the city’s Office of Sustainability and Innovations produces.

Retrieved from CTN Ann Arbor.

The SEU’s reliance on public buy-in is why the city put it on the Nov. 5 ballot, even though it could have gone ahead with the plan sans voter approval. “It’s a big deal to start your own utility, even a supplemental, opt-in utility,” Stults said. “This was the best way we could think of to confirm the public is seriously interested in this, even those who will never subscribe. Do they want more choice in the system?”

Stults says the SEU has not faced any organized opposition, although she has encountered misperceptions about what it is and is not. Residents in favor of fully replacing DTE with a municipal electric utility say the SEU is a step in the right direction but fails to meet the urgency needed to address climate change. “[The SEU] will not be enough to reach the city’s 2030 renewable energy goals, or to address our chronically unreliable power grid,” Greg Woodring, president of Ann Arbor for Public Power, said in a statement. 

Key to the long-term success of an SEU is that community members feel like they have a stake in its development, said Byrne, who worked on the Delaware SEU. “The problem is, if you’re inside government, is it really the community that’s governing, or is it really the bureaucracy, if you will?” he asked. He suggests that Ann Arbor “keep this entity close to communities.”

DTE Energy, the investor-owned utility that serves Ann Arbor, said in a statement to Smart Cities Dive that it is “dedicated to supporting the City of Ann Arbor’s clean energy goals.” DTE likened the SEU to its MIGreenPower program, through which customers can pay to support clean energy. “When coupled with DTE’s planned investments in clean energy, these voluntary, fee-based programs help accelerate economy-wide decarbonization while maintaining reliability and affordability,” DTE said.

A model for other cities?

Could Ann Arbor’s version of an SEU work in other U.S. cities? “From an engineering standpoint? From a social, economic standpoint? Absolutely,” Mathieu said. “From a legal and regulatory standpoint, I feel like it depends on the laws in that state or jurisdiction.” But, she adds, “we can do it in one city and learn a lot and then see if it makes sense in other places. I don’t think we’ll have lost much by trying.”

One challenge is convincing the people who review federal funding applications that this is an idea worth betting on, Mathieu said. “When we get this reviewed by other engineers who haven’t been brought along to thinking about it that way, they’re like ‘No, this is crazy,’” she said. “We could be moving a lot faster if we can get over this barrier of people thinking, ‘This is the way it’s always been, [so] this is the way it always should be.’”

These existing “rules” for maintaining the power grid’s stability are entrenched in its traditional orientation around large central power plants, Byrne explained, but communities could reconsider those standards in favor of a new paradigm. 

“If you want to have renewable energy go faster, don’t build it on the same model that got you in the dilemma that you now have, which is fossil fuel and nuclear power plants that are centralized and big grids that are very costly infrastructure,” he said. “Try and work on alternative infrastructures.”

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Why DeepSeek Is Great for AI and HPC and Maybe No Big Deal for Data Centers

In the rapid and ever-evolving landscape of artificial intelligence (AI) and high-performance computing (HPC), the emergence of DeepSeek’s R1 model has sent ripples across industries. DeepSeek has been the data center industry’s topic of the week, for sure. The Chinese AI app surged to the top of US app store leaderboards last weekend, sparking a global selloff in technology shares Monday morning.  But while some analysts predict a transformative impact within the industry, a closer examination suggests that, for data centers at large, the furor over DeepSeek might ultimately be much ado about nothing. DeepSeek’s Breakthrough in AI and HPC DeepSeek, a Chinese AI startup, this month unveiled its R1 model, claiming performance on par with, or even surpassing, leading models like OpenAI’s ChatGPT-4 and Anthropic’s Claude-3.5-Sonnet. Remarkably, DeepSeek developed this model at a fraction of the cost typically associated with such advancements, utilizing a cluster of 256 server nodes equipped with 2,048 GPUs. This efficiency has been attributed to innovative techniques and optimized resource utilization. AI researchers have been abuzz about the performance of the DeepSeek chatbot that produces results similar to ChatGPT, but is based on open-source models and reportedly trained on older GPU chips. Some researchers are skeptical of claims about DeepSeek’s development costs and means, but its performance appears to challenge common assumptions about the computing cost of developing AI applications. This efficiency has been attributed to innovative techniques and optimized resource utilization.  Market Reactions and Data Center Implications The announcement of DeepSeek’s R1 model led to significant market reactions, with notable declines in tech stocks, including a substantial drop in Nvidia’s valuation. This downturn was driven by concerns that more efficient AI models could reduce the demand for high-end hardware and, by extension, the expansive data centers that house them. For now, investors are re-assessing the

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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