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PA lawmakers push for data centers to feed AI boom • Spotlight PA

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NGN is a regional news service that focuses on government and enterprise reporting in southwestern Pennsylvania. Find out more information on foundation and corporate funders here.

National and state political leaders are rushing to regulate and incentivize the rapidly growing data center industry fueled by artificial intelligence.

Data centers — sometimes nondescript buildings located in former manufacturing areas — are popping up across the state. And lawmakers are pushing for incentives and accelerated permitting to make the commonwealth more attractive to data center developers.

State Rep. Stephenie Scialabba (R., Butler), chair of the state’s Artificial Intelligence Opportunity Task Force, said Pennsylvania needs to “act in the next year or two” to attract the companies or risk losing them to other states.

“I frankly don’t think that we are moving quickly enough,” she said. “I think that there’s initiative there and there’s interest. I believe, though, that we’re going to need to really keep pushing. If we let up on the gas, even for a minute, we’re going to lose.”

>>READ MORE: The unknown costs of Amazon’s $20B promise to build 2 data centers in Pennsylvania

The promise and possibility of animating regions with a new industry is part of an AI and energy summit Tuesday at Carnegie Mellon University, where President Donald Trump and U.S. Sen. Dave McCormick announced $90 billion in AI, energy, and data center investments.

Data centers have been around for years, but artificial intelligence is driving demand for more centers across the country.

Pennsylvania has all the makings of a future data center hub, proponents say, with available land, natural energy resources, and universities such as Carnegie Mellon to attract and develop the needed workforce.

It’s also a cause that Democrats and Republicans have come together to support. Democratic Gov. Josh Shapiro and McCormick, a Republican, joined to announce a $20 billion investment from Amazon to build two data centers in Bucks and Luzerne counties.

Legislators and data center proponents warn that, without speeding up permitting and lowering development costs, Pennsylvania could miss the metaphorical gold rush of billions in investments that states like Virginia have capitalized on.

“Their states were getting sites ready four or five years ago,” said Joanna Doven, executive director of the AI Strike Team, a group aiming to bring the artificial intelligence industry to Southwestern Pennsylvania. “There is some speeding up that needs to be done. And I do see that speeding up happening.”

Southwestern Pennsylvania in particular is flush with former industrial sites where data centers could be built, said Rich Fitzgerald, Southwestern Pennsylvania Commission executive director and former Allegheny County executive.

And bipartisan support will play a key role in whether data center developers choose to build in Pennsylvania, he said.

“Companies that locate and build and invest in a community or in a state, they don’t want to get in the middle of a political fight where one side is against it and one side is for it,” Fitzgerald said.

There’s also a bipartisan interest in incentivizing and accelerating the development of data centers.

Pennsylvania incentivized the Amazon investment, spending $10 million on workforce development and charging no sales tax on purchases of some operating equipment.

But some caution that data centers use a significant amount of electricity and water and could raise electric bills for households.

A 2024 Department of Energy report found that data centers consumed about 4.4% of U.S. electricity in 2023 and could account for as much as 12% by 2028.

State Sen. Nick Miller (D., Lehigh), co-chair of the Senate Communications and Technology Committee, said data centers and their energy demand are a “priority issue” for the committee.

“Data centers present a dual challenge: they can drive major economic development, but they also create significant energy demands that, if not managed properly, could increase costs for consumers and strain our grid,” he said in an email statement.

State Sen. Jay Costa (D., Allegheny) pointed to Shapiro’s Lightning Plan — a proposal to, among other things, fund new projects through legislation, create a board to speed up approvals, and lower household energy bills — as an example of how elected officials are grappling with Pennsylvania’s energy future.

It’s an issue the state will need to address, with or without new data centers, Fitzgerald said.

“Improving the electrical infrastructure is something we need to do, again, irrespective of the data center opportunities,” he said. “You add to it with the data center opportunities and some of the predictions of how much of an increase you’re going to have to provide in megawatts over time [and it] is just something that’s going to have to happen.”

For many legislators, making permitting quicker for data centers appears to be the biggest legislative priority. Multiple bills to do just that have or will be introduced in the coming weeks.

State Sen. Greg Rothman (R., Cumberland) introduced legislation with co-sponsor Sen. Tracy Pennycuick (R., Berks that would speed up some permitting and limit how municipalities could regulate data center development.

“That’s what investors want. They want to be able to deploy their capital and build what they want to build and start getting a return on their investment. Time is money,” Rothman said.

It’s one of several pieces of current and upcoming legislation aimed at improving conditions for data center development.

State Rep. Eric Nelson (R., Westmoreland) said he plans to introduce a bill creating an expedited permitting process in the coming weeks with co-sponsors Rep. Kyle Mullins (D., Lackawanna) and Rep. Jamie Barton (R., Berks).

Nelson’s bill would allow data center companies to pay an additional fee to go through an accelerated permitting process that requires a commitment to meeting environmental standards. It also requires site visits from the state Department of Environmental Protection to ensure compliance.

“We’re not looking to bypass or minimize any environmental standards or thresholds that Pennsylvania already has,” Nelson said. “We’re shifting from paperwork and tabletop reviews, which sometimes takes several years, to performance-based environmental standards focused on the field and what’s really happening on the job site.”

The bill would also suspend permits during lawsuits that challenge data center projects so the permits don’t expire during legal proceedings.

State Rep. Jason Ortitay (R., Allegheny) introduced a bill that would create a Keystone Artificial Intelligence Authority to streamline permitting for data centers and other AI industry developments alongside co-sponsors Rep. Bud Cook (R., Greene) and Rep. Jeff Olsommer (R., Pike).

Permitting reform, particularly if it concerns the DEP, has historically been a partisan issue with little to no collaboration across party lines, but conversations around data center permitting have broken from that trend, Ortitay said.

“I genuinely think if Gov. Shapiro leads on this by example, then I think we’ll be able to get everybody, both Republicans and Democrats, on the same page, to agree to something that is productive and helpful in this space,” he said. “But if he doesn’t lead and he leaves it to the Legislature to figure out, then I have zero hope that we’ll be able to work on it.”

Scialabba said she plans to introduce an AI legislative package with state Reps. Robert Leadbeter (R., Columbia) and Joe D’Orsie (R., York) to incentivize AI development and create an Artificial Intelligence Consortium to examine regulatory barriers.

But crafting legislation — regulation or incentive — hits the roadblock of a divided legislature.

Passing data center legislation without widespread political support is a challenge, Nelson said.

“One of the keys to success in Harrisburg is we have to coordinate across both chambers and the governor’s office, so communication is almost a prime driver for success,” he said.

Costa, who is on the advisory committee for the AI Strike Team, urges patience while legislators weigh regulations.

“I think we have sufficient things in place right now that I think would protect consumers and residents, but at the same time, we need to be nimble in terms of how we manage this going forward,” he said.

He said he couldn’t point to specific regulations to protect consumers but that agencies such as the DEP and the Public Utility Commission have protections in place.

And some of the changes might happen within state agencies, not in the legislature.

“At the legislative level, we don’t move very quickly, and that’s unfortunate, but I think in the administrative level or executive level through the agencies, there’s opportunities,” he said.

The state PUC held a hearing in April to discuss large-load electric customers like data centers and is now reviewing testimony from industry executives and public comments, said press secretary Nils Hagen-Frederiksen. The hearing generated dozens of comments, though it is not clear what the PUC might recommend or change in the Public Utility Code, if anything.

Abigail Hakas is a reporter for Next Generation Newsroom, part of the Center for Media Innovation at Point Park University. Reach her at abigail.hakas@pointpark.edu.



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Americans May Have To Pay Much More For Electricity. Reason: Artificial Intelligence

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Artificial intelligence is reshaping the future — but not without a cost. A new report by the White House Council of Economic Advisors warns that AI and cloud computing may drive up electricity prices dramatically across the United States unless urgent investments are made in power infrastructure.

The study highlights a significant shift: after decades of minimal electricity demand growth, 2024 alone saw a 2% rise, largely attributed to the surge in AI-powered data centers. The International Energy Agency (IEA) projects that by 2030, data centers in the US could consume more electricity than the combined output of heavy industries such as aluminum, steel, cement, and chemicals.

Productivity Promises VS Power Pressures

Despite the looming challenges, the report does not discount AI’s potential benefits. If half of all US businesses adopt AI by 2034, labor productivity could rise by 1.5 percentage points annually, potentially boosting GDP growth by 0.4% that year. But that promise comes with a price.

To meet the surge in demand, especially when factoring in industrial electrification and efforts to reshore manufacturing, the US would need to invest an estimated 1.4 trillion Dollars between 2025 and 2030 in new electricity generation. That figure surpasses the industry’s investment over the past decade. The study cautions that without the emergence of lower-cost power providerssuch as renewables or advanced nuclearelectricity bills will rise sharply.



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Delaware Firm to Evolve Defense Tech Org With Self-Growing AI

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Star26 Capital Inc. is collaborating with Delaware-based Synthetic Darwin to supercharge its defense tech developments through self-growing AI.

This partnership will utilize Darwinslab, an AI ecosystem where digital agents generate, assess, and cultivate other algorithms inspired by biological evolution.

The solution slashes the time needed to build or sustain complex AI systems, shrinking development cycles to days and enabling rapid adaptation to new data and mission needs.

Read the full story on our new publication, Military AI: Delaware Firm to Evolve New York Defense Tech Org Through Self-Growing AI



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AI isn’t just for coders: 7 emerging non-tech career paths in artificial intelligence

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7 emerging non-tech career paths in artificial intelligence

Artificial intelligence is no longer the future. It’s already shaping how we live, work, and learn. From smart assistants to personalised learning apps and automated hiring tools, AI is now part of everyday life. But here’s something many students still don’t realise — you don’t have to be a computer science genius to build a meaningful career in AI.In 2025, AI needs more than just coders. It needs people who understand ethics, design, communication, psychology, policy, and human behaviour. Whether you’re studying law, liberal arts, design, economics, or media, there is space for you in this fast-growing field. These emerging roles are all about making AI more responsible, more human, and more useful.Here are seven exciting non-tech career paths in artificial intelligence that you can start exploring now.

AI ethics specialist

AI systems make decisions that can affect real lives — from who gets hired to who receives a loan. That’s why companies and governments need experts who can guide them on what’s fair, what’s biased, and what crosses a line. Ethics specialists work closely with developers, legal teams, and product leaders to make sure AI is built and used responsibly.Best suited for: Students from philosophy, sociology, law, or political science backgroundsWhere to work: Tech companies, research institutes, policy think tanks, or digital rights NGOs

AI UX and UI designer

AI tools need to be easy to use, intuitive, and accessible. That’s where design comes in. AI UX and UI designers focus on creating smooth, human-centered experiences, whether it’s a chatbot, a virtual assistant, or a smart home interface. They use design thinking to make sure AI works well for real users.Best suited for: Students of psychology, graphic design, human-computer interaction, or visual communicationWhere to work: Tech startups, health-tech and ed-tech platforms, voice and interface design labs

AI policy analyst

AI raises big questions about privacy, rights, and regulation. Governments and organisations are racing to create smart policies that balance innovation with safety. AI policy analysts study laws, write guidelines, and advise decision-makers on how to manage the impact of AI in sectors like education, defense, healthcare, and finance.Best suited for: Public policy, law, international relations, or development studies studentsWhere to work: Government agencies, global institutions, research bodies, and policy units within companies

AI behavioural researcher

AI tools influence human behaviour — from how long we scroll to what we buy. Behavioural researchers look at how people respond to AI and what changes when technology gets smarter. Their insights help companies design better products and understand the social effects of automation and machine learning.Best suited for: Students of psychology, behavioural economics, sociology, or educationWhere to work: Tech companies, research labs, social impact startups, or mental health platforms

AI content strategist and explainer

AI is complex, and most people don’t fully understand it. That’s why companies need writers, educators, and content creators who can break it down. Whether it’s writing onboarding guides for AI apps or creating videos that explain how algorithms work, content strategists make AI easier to understand for everyday users.Best suited for: Students of journalism, English, media studies, marketing, or communicationWhere to work: Ed-tech and SaaS companies, AI product teams, digital agencies, or NGOs

AI program manager

This role is perfect for big-picture thinkers who love connecting people, processes, and purpose. Responsible AI program managers help companies build AI that meets ethical, legal, and user standards. They coordinate between tech, legal, and design teams and ensure that AI development stays aligned with values and global standards.Best suited for: Business, liberal arts, management, or public administration studentsWhere to work: Large tech firms, AI consultancies, corporate ethics teams, or international development agencies

AI research associate (non-technical)

Not all AI research is about coding. Many labs focus on the social, psychological, or economic impact of AI. As a research associate, you could be studying how AI affects jobs, education, privacy, or cultural behaviour. Your work might feed into policy, academic papers, or product design.Best suited for: Students from linguistics, anthropology, education, economics, or communication studiesWhere to work: Universities, research labs, global think tanks, or ethics institutesThe world of AI is expanding rapidly, and it’s no longer just about math, code, and machines. It’s also about people, systems, ethics, and storytelling. If you’re a student with curiosity, critical thinking skills, and a passion for meaningful work, there’s a place for you in AI — even if you’ve never opened a programming textbook.TOI Education is on WhatsApp now. Follow us here.





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