Building new natural gas plants in Wisconsin will strap customers with big bills
Wisconsin stands at a critical energy crossroads. We Energies' plan to build massive new natural gas plants represents a costly misstep that threatens to lock in high energy costs, undermine clean energy goals and leave ratepayers footing the bill for outdated infrastructure.
At a time when clean energy and storage solutions are proving more reliable and cost-effective, doubling down on fossil fuel dependency is a financial and environmental mistake Wisconsin can't afford.
We Energies' proposed gas plants are not just unnecessary — they're a long-term financial burden on ratepayers.
Natural gas prices remain highly volatile due to global market instability, making reliance on gas a risky bet for Wisconsin's energy future. Meanwhile, states across the Midwest are rejecting new gas plants in favor of renewables, battery storage and efficiency. Wisconsin must follow suit or risk saddling customers with stranded assets and skyrocketing costs.
Wisconsin should prioritize growing its clean energy economy, not expanding fossil fuel infrastructure that contradicts the state's climate commitments.
A 100% clean energy standard would position Wisconsin as a leader in the Midwest, attracting businesses that demand sustainable power. Investments in solar, wind, battery storage, microgrids and smart grid upgrades will create jobs, enhance grid reliability and protect ratepayers from long-term price spikes.
Community solar and distributed energy empower local communities to generate their own clean power, reducing reliance on utilities and providing lower-cost energy options.
We Energies argues that new gas plants are needed to meet growing electricity demand, largely driven by data centers. But rapid advancements in AI-driven efficiency breakthroughs — such as DeepSeek — could significantly reduce energy consumption in data centers, meaning the projected demand may never materialize.
If We Energies locks in billions of dollars for gas plants just as efficiency gains take off, Wisconsin ratepayers will be stuck paying for unnecessary infrastructure. Instead of overbuilding based on outdated assumptions, the state should focus on flexible, adaptive solutions that can evolve alongside technological advances.
The idea that natural gas is the only way to meet peak demand is outdated and inaccurate.
Texas, California and even Alaska are deploying large-scale battery storage systems to replace gas-fired peaker plants. Battery storage costs have fallen 90% over the last decade, making it the clear economic winner over new fossil fuel generation.
Before committing billions to gas plants, Wisconsin should deploy storage solutions first — a proven, cost-effective alternative that reduces emissions and keeps electricity rates stable.
More: CBS58 had no choice but to fire Sam Kuffel for damaging TV station's image | Letters
Other states are retrofitting fossil fuel plants into clean energy hubs rather than building new gas infrastructure. Wisconsin should invest in solar, wind and battery storage at existing power plant sites, leveraging grid connections already in place.
This 'clean repowering' strategy allows for a smoother transition while maintaining grid stability and avoiding costly new gas plants.
Wisconsin risks losing business investment by ignoring corporate demand for clean energy. Major corporations like Microsoft, Google and Meta have committed to 100% carbon-free energy by 2030. We Energies' push for new gas plants directly contradicts these goals, forcing companies to seek cleaner power elsewhere.
Rather than doubling down on fossil fuels, Wisconsin should implement on-site demand response incentives for large energy users, reducing peak demand without building expensive new gas plants.
Wisconsin has a historic opportunity to lead the Midwest in clean energy innovation, but We Energies' gas expansion is a step in the wrong direction. Investing in clean energy solutions drives job creation, lowers costs and meets corporate sustainability goals. Locking in new gas plants while storage and renewables continue to outpace fossil fuels is a financial mistake Wisconsin can't afford.
More: Malcolm X understood what was wrong about Snoop Dogg's show celebrating Trump | Opinion
The choice is clear: Do we cling to outdated, expensive fossil fuel infrastructure, or do we embrace a smarter, more resilient clean energy future?
The answer should be obvious — for our economy, our environment and the future of Wisconsin.
John Imes is co-founder and director of Wisconsin Environmental Initiative.
This article originally appeared on Milwaukee Journal Sentinel: We Energies must invest in clean energy sources, not gas | Opinion

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
AI Fund Assets Reach $38B on Record Chinese Inflows
Global assets in artificial intelligence and big data funds surged more than sevenfold over the past five years, reaching $38.1 billion by the end of 2025's first quarter, with AI ETFs dominating the U.S. market, according to a recent Morningstar Direct report. The artificial intelligence investment theme experienced record inflows in the first quarter, driven by Chinese investors responding to the breakthrough success of domestic AI startup DeepSeek. The Chinese company's efficient AI model demonstrated how advances could improve performance while reducing dependency on high-powered computing hardware, according to the report. The surge reflects growing investor interest in AI technologies following the late-2022 launch of ChatGPT 3.5, which marked a pivotal moment in AI adoption and sparked institutional and retail investor enthusiasm for the sector, Morningstar reports. However, the investment landscape has been marked by high volatility, with AI funds experiencing both dramatic growth and sharp declines as market sentiment shifts. The growth demonstrates how ETFs have become the preferred vehicle for AI investing in the U.S., contrasting with Europe, where actively managed mutual funds dominate, according to the Morningstar report. Unlike Europe, where AI funds are typically actively managed mutual funds, AI investing in the U.S. is overwhelmingly dominated by exchange-traded funds, according to Morningstar Direct. The ETF structure appeals to investors because of its lower cost, greater transparency and enhanced trading flexibility compared with traditional actively managed vehicles. U.S.-domiciled AI and big data fund assets grew 14-fold in just two years, reaching a record $5.5 billion by the end of May 2025. Despite this surge, the U.S. still accounts for only 15% of global AI fund assets, according to the report. The largest AI fund in the U.S. is the Global X Artificial Intelligence & Technology ETF (AIQ), which benefits from first-mover status as the region's inaugural AI-focused ETF. The rise of actively managed ETFs has also contributed to growth, with assets in actively managed thematic AI ETFs reaching $415 million, representing nearly 10% of total U.S.-domiciled AI fund assets, according to Morningstar Direct. The focused style of ETFs makes them suited for targeting granular exposures within the broader AI theme. The largest funds illustrate this diversity of options, according to the report. The so-called Magnificent Seven technology stocks dominate AI ETF holdings, creating structural challenges for fund managers. NVIDIA Corp. (NVDA) appeared in almost nine out of every 10 AI funds, while all seven companies were held by more than half of AI portfolios, according to Morningstar Research. The dominance presents a dilemma for ETF designers. Including these stocks results in overlap with core equity exposures, potentially reducing the appeal of AI ETFs as tactical investments. Excluding them introduces underperformance risk relative to peers, according to the report. The concentration highlights limited geographic diversification. Nearly all frequently held AI stocks globally are U.S.-listed, underscoring American leadership in the technology sector, according to Morningstar | © Copyright 2025 All rights reserved Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
2 hours ago
- Yahoo
AI Fund Assets Reach $38B on Record Chinese Inflows
Global assets in artificial intelligence and big data funds surged more than sevenfold over the past five years, reaching $38.1 billion by the end of 2025's first quarter, with AI ETFs dominating the U.S. market, according to a recent Morningstar Direct report. The artificial intelligence investment theme experienced record inflows in the first quarter, driven by Chinese investors responding to the breakthrough success of domestic AI startup DeepSeek. The Chinese company's efficient AI model demonstrated how advances could improve performance while reducing dependency on high-powered computing hardware, according to the report. The surge reflects growing investor interest in AI technologies following the late-2022 launch of ChatGPT 3.5, which marked a pivotal moment in AI adoption and sparked institutional and retail investor enthusiasm for the sector, Morningstar reports. However, the investment landscape has been marked by high volatility, with AI funds experiencing both dramatic growth and sharp declines as market sentiment shifts. The growth demonstrates how ETFs have become the preferred vehicle for AI investing in the U.S., contrasting with Europe, where actively managed mutual funds dominate, according to the Morningstar report. Unlike Europe, where AI funds are typically actively managed mutual funds, AI investing in the U.S. is overwhelmingly dominated by exchange-traded funds, according to Morningstar Direct. The ETF structure appeals to investors because of its lower cost, greater transparency and enhanced trading flexibility compared with traditional actively managed vehicles. U.S.-domiciled AI and big data fund assets grew 14-fold in just two years, reaching a record $5.5 billion by the end of May 2025. Despite this surge, the U.S. still accounts for only 15% of global AI fund assets, according to the report. The largest AI fund in the U.S. is the Global X Artificial Intelligence & Technology ETF (AIQ), which benefits from first-mover status as the region's inaugural AI-focused ETF. The rise of actively managed ETFs has also contributed to growth, with assets in actively managed thematic AI ETFs reaching $415 million, representing nearly 10% of total U.S.-domiciled AI fund assets, according to Morningstar Direct. The focused style of ETFs makes them suited for targeting granular exposures within the broader AI theme. The largest funds illustrate this diversity of options, according to the report. The so-called Magnificent Seven technology stocks dominate AI ETF holdings, creating structural challenges for fund managers. NVIDIA Corp. (NVDA) appeared in almost nine out of every 10 AI funds, while all seven companies were held by more than half of AI portfolios, according to Morningstar Research. The dominance presents a dilemma for ETF designers. Including these stocks results in overlap with core equity exposures, potentially reducing the appeal of AI ETFs as tactical investments. Excluding them introduces underperformance risk relative to peers, according to the report. The concentration highlights limited geographic diversification. Nearly all frequently held AI stocks globally are U.S.-listed, underscoring American leadership in the technology sector, according to Morningstar | © Copyright 2025 All rights reserved Sign in to access your portfolio


Politico
5 hours ago
- Politico
5 questions for Rep. John Moolenaar
With help from Aaron Mak Hello, and welcome to this week's installment of the Future in Five Questions. This week we interviewed Rep. John Moolenaar, the chair of the House Select Committee on the Chinese Communist Party. That post puts the Michigan Republican at the center of some of the thorniest geopolitical issues, including winning the technological arms race with China. Moolenaar talks to us about artificial intelligence and his ideas for an 'America First AI Policy' that would keep the U.S. ahead, block China from accessing U.S. technology and expand international partnerships with appropriate guardrails. An edited and condensed version of the conversation follows: What's one underrated big idea in tech? AI can be used as a weapon. From helping cyber criminals to building autonomous systems to injecting Chinese Communist Party propaganda directly to the U.S. public, AI has immense power — and we need to treat it that way. And that starts with securing the chips that power it. And I co-sponsored The Chip Security Act, which is a bipartisan bill that would require location tracking for advanced American chips and mandate reporting if they're diverted or misused. Right now, American chips are being smuggled into China and used to train AI models that serve the CCP's military and surveillance state. And we can't allow that. When you think about it, in the Cold War we tracked nuclear material, and today we should be tracking advanced chips, because they're just as strategically important. That is a simple idea, but it could determine whether American innovation is used to protect freedom or to power authoritarian control. What's a technology that you think is overhyped? I think the idea that high-end compute is the only path to AI is overhyped, and the Chinese model DeepSeek proves it. Even though there are restrictions on advanced chips, the CCP found a workaround, and they built an AI system that censors, surveils and pushes propaganda using stolen AI models and likely smuggled chips. Our committee detailed all of this in our DeepSeek report, and what it shows is that the CCP is adapting fast, and they're not just chasing high-end hardware — they're trying to indigenize the entire tech stack: [Graphics processing units], cloud computing and the tools to manufacture chips themselves. So we need to think better, not just about cutting off chip exports, but about securing the entire ecosystem. The race is not just about who has the most powerful hardware, but it's about who controls the platform and protects the values built into it. What could the government be doing regarding technology that it isn't? We need to treat AI like the strategic asset it is, not just another tech trend. And I joined alongside ranking member [Rep. Raja] Krishnamoorthi (D-Ill.) in a bipartisan letter urging the Commerce Department to act — and act fast. We need clear standards for AI safety and transparency before these models are deployed, especially in critical sectors like defense, infrastructure and finance. That means safety testing, transparency requirements for new models and strong oversight of training data, so we don't end up with CCP-style systems like DeepSeek, which are hardwired for propaganda and control. We also need to build more capacity at home: More fabs, more data centers and more secure supply chains, and close the export loopholes. The CCP is trying to indigenize the full tech stack. If we don't control the whole program, we're giving them the tools to bypass our restrictions. With our values, we need to lead globally — and our allies need to adopt similar guardrails — so that we can prevent Beijing from their techno-authoritarianism. We still have the edge, but if we want to keep it, we have to act like we intend to win. What book most shaped your conception of the future? Recently, I read 'The Peacemaker' by William Inboden, and it shaped how I think about American leadership in the dangerous world that we have today. It was about Ronald Reagan and about how he faced Soviet aggression, nuclear brinksmanship and economic instability, but he stood firm with moral clarity, military strength and a deep belief in America and our values. It didn't happen overnight. When you think of the Soviets launching Sputnik, America didn't back down. We stepped up and invested in science, defense and education. And that wave of innovation allowed Reagan's strategy to dominate technologically — and our strong military defense — but we also won the war of ideas. That's the advantage that free societies grounded in faith and truth have over these authoritarian regimes. I believe the future is going to be shaped by those who lead in AI, semiconductors and quantum, but even more so by those who defend the values beneath them. And Reagan showed how to lead with strength and with faith and we need to work with other like-minded nations to work together to defeat this authoritarianism — and some of these partnerships that are emerging with China, Russia, North Korea and Iran. What has surprised you the most this year? What has shocked me the most when it comes to the work we're doing with our select committee is how much of our American-made technology — our investor dollars and even our taxpayer dollars — are benefiting the Chinese military and surveillance state, and despite our sanctions, our export controls and national security warnings, the CCP is still building AI-enabled weapons using our chips, our money, our cloud services, even our research. We need to get much more serious about our enforcement, and that's precisely why we need an America irst AI policy to ensure America always retains a majority of global compute and leads the free world in this effort. Trump's tough talk on semiconductors The White House's plan to extract more investments from semiconductor manufacturers might actually be working — though the strategy may have its limits. On Thursday, chip fabricator Micron said it would invest an additional $30 billion to expand its Virginia plant, and construct a new facility in Idaho. This comes as President Donald Trump's Department of Commerce renegotiates manufacturing grants that the Biden administration had agreed to furnish under the 2022 CHIPS Act. Micron received $6 billion in CHIPS funding last year, and will now get an additional $275 million, as well as a 'white glove' service to loosen and expedite permitting. In May, Commerce Secretary Howard Lutnick said the administration would demand that companies ramp up their investments if they wanted to receive the CHIPs grants they'd been promised. Trump has also claimed he's been able induce extra investments by threatening companies with tariffs in renegotiations: He said in April that he raised the prospect of imposing 100 percent tariffs on the Taiwan Semiconductor Manufacturing Company, leading it to pitch in another $100 billion. (TSMC declined to comment on Trump's version of events when DFD asked earlier this week. Micron said it could not comment on whether tariffs were part of its renegotiations due to it being the quiet period before reporting quarterly results.) As Trump notches wins in his pressure campaign, Chris Miller, the Tufts University historian who wrote the widely influential book 'Chip War,' told DFD earlier this week that aggressive tactics can only take the White House so far. 'Companies are not going to do more than is economically rational,' he said. 'That will be a limiting factor in terms of what kinds of renegotiations we end up seeing.' It seems like Trump hasn't hit that limit quite yet. Deepfakes come for the LA protests The Los Angeles protests are reigniting the argument about misinformation during moments of tumult, especially since AI may be making the problem worse. As with other recent upheavals, like the George Floyd protests or Jan. 6, 2021, riot, misleading photos and videos taken out of context are circulating online — Sen. Ted Cruz (R-Texas)reposted a clip of a burning car that was actually from 2020. AI is now complicating the situation even further. For example, a fake AI-generated video of a National Guardsman talking about 'gassing' protestors gained hundreds of thousands of views this week. POLITICO's California Decoded team reported on Friday that at least three Democratic state lawmakers are monitoring the situation, which they say emphasizes the need for AI legislation. 'The AI-generated images are inflaming the situation,' state Sen. Josh Becker told Decoded, who added that the California AI Transparency Act will eventually be sufficient to counteract such deepfakes. The law requires watermarks to signal that a certain piece of media was AI-generated. The act was passed last year, but won't go into effect until January. However, the First Amendment has stifled AI content laws in the past. A federal judge in October blocked California from enforcing a ban on deceptive AI content. While watermarks may seem less extreme than a ban, they may still raise free speech issues. post of the day THE FUTURE IN 5 LINKS Stay in touch with the whole team: Aaron Mak (amak@ Mohar Chatterjee (mchatterjee@ Steve Heuser (sheuser@ Nate Robson (nrobson@ and Daniella Cheslow (dcheslow@