Stay Ahead, Stay ONMINE

How States Are Rewriting the Rules for Data Center Growth

Pennsylvania has moved from courting data center investment to setting much stricter terms for how the industry grows. Governor Josh Shapiro’s August 18 executive order creates one of the country’s most comprehensive state-level frameworks for large data centers, linking a more favorable environmental permitting process and state tax treatment to requirements covering power supply, grid […]

Pennsylvania has moved from courting data center investment to setting much stricter terms for how the industry grows. Governor Josh Shapiro’s August 18 executive order creates one of the country’s most comprehensive state-level frameworks for large data centers, linking a more favorable environmental permitting process and state tax treatment to requirements covering power supply, grid costs, local approval, workforce commitments, water use and environmental performance.

The order is the latest stage of Shapiro’s Governor’s Responsible Infrastructure Development, or GRID, initiative. GRID was announced in February, detailed in May and partially reinforced through Pennsylvania’s 2026-27 budget in July. The Pennsylvania House also passed legislation intended to codify the standards, but the Senate did not act. Shapiro has now used existing executive and agency authority to put much of the framework into effect immediately.

Pennsylvania’s debate has also produced more direct proposals to slow development. Senate Bill 1359 would impose a statewide moratorium on hyperscale data center development and permitting, although the measure remains in the Senate Local Government Committee. A separate measure, Senate Bill 1345, would authorize municipalities to temporarily stop accepting or considering new applications for high-impact data centers for up to 18 months. SB 1345 advanced to second consideration in the Senate in July. Neither measure has become law.

What is the Impact on Data Center Development?

For data center projects with peak demand exceeding 25 MW, Pennsylvania’s template GRID Consent Order and Agreement provides the mechanism for binding developers to the requirements while allowing the states Department of Environmental Protection (DEP) to review qualifying permit applications on a rolling basis.

Developers that decline to sign can still seek permits, but DEP will not begin reviewing their applications until local approvals and required water or wastewater authorizations are secured, and permits will not be handled on a rolling basis. Those projects are also excluded from Pennsylvania’s permit-decision guarantee programs.

This means that Pennsylvania is using permitting speed as leverage. Developers willing to assume a much broader set of financial, environmental and community obligations get a more predictable regulatory path. Those unwilling to do so face a considerably slower one and possibly more importantly, cannot qualify for the state’s existing sales and use tax exemption for data center equipment under the new framework.

Bring the Power and Pay the Bill

The centerpiece of GRID is energy cost responsibility. A qualifying developer must demonstrate how it will “build, bring or buy” enough incremental electric capacity to meet its new demand and must pay the full cost of that capacity. In general, the additional supply must be located in the same PJM locational deliverability area as the data center. That is an important provision because merely signing a power purchase agreement somewhere within the PJM region does not necessarily relieve the transmission, generation or capacity constraint created where a hyperscale campus is actually located.

GRID also introduces a stepped clean-energy requirement. Beginning January 1, 2027, qualifying projects must procure at least 10% of annual electricity consumption from incremental clean firm energy resources in Pennsylvania. The requirement increases to 14.5% in 2030 and 32% in 2035. Shapiro has specifically pointed to resources such as advanced nuclear, solar and battery storage as examples of the new energy supplies the policy is intended to encourage.

Potentially more consequential to utility customers are the cost-allocation rules. GRID requires developers to assume costs caused in whole or in part by their projects, including energy and ancillary services, transmission, distribution, network upgrades and dedicated facilities. The August order also directs Shapiro’s Special Counsel for Energy Affordability to press the Pennsylvania Public Utility Commission for tariffs that prevent data center interconnection costs and PJM reliability backstop costs from migrating onto residential and ordinary commercial customers.

The order goes a step further on reliability. Shapiro wants utility emergency procedures changed so that data centers are curtailed before other customers during pre-emergency or emergency conditions unless the facility has secured incremental electric capacity sufficient to cover its demand. Data centers also would not be treated as critical loads exempt from curtailment.

Pennsylvania is responding to a development pipeline that has become difficult to separate from speculation. As of August 18, the Shapiro administration said more than 100 projects appeared in publicly sourced databases and 58 had engaged with DEP at some level of formality. Only 15 had applied for at least one DEP permit, and just five had received all permits required for their first phase of development.

PPL Electric, meanwhile, reported approximately 20.7 GW of potential data center load associated with electric service agreements in an August investor presentation. Shapiro argues that many other announced projects lack end users, financing or credible access to electricity.

Ending the Secrecy Around Data Center Projects

Pennsylvania’s framework also tackles a less technical but increasingly contentious aspect of hyperscale development: secrecy. Agencies under the governor’s jurisdiction are prohibited from entering nondisclosure agreements relating to data center projects, while DEP must create a publicly accessible map showing permitting information for proposed facilities.

Beginning July 1, 2027, Pennsylvania data centers with peak electric demand of 10 MW or greater will have to submit annual reports detailing energy and water consumption for the preceding calendar year. The data must detail energy sources, onsite and offsite generation, natural gas use, peak load, water sources and efficiency measures, and projected future energy and water demand. The reporting requirement builds on provisions already enacted through Pennsylvania’s 2026-27 budget.

GRID certification goes further. Developers must identify end users and provide a footprint report covering building area, campus acreage, estimated peak electric demand, annual water consumption and source, the percentage of electricity supplied from non-emitting resources and expected Power Usage Effectiveness and Water Usage Effectiveness.

Local governments also gain substantial leverage. Projects must demonstrate consistency with local comprehensive plans and obtain applicable municipal zoning and subdivision approvals before DEP issues qualifying permits. GRID projects must undertake public outreach and pursue community benefit agreements dealing with issues including noise, lighting, traffic, aesthetics, emergency response and financial contributions toward local priorities.

The workforce standards are unusually specific for a data center policy. GRID projects must commit at least $250 million in cumulative new investment, create at least 200 prevailing-wage construction jobs, and by the fourth anniversary of certification create at least 50 new jobs paying 125% or more of Pennsylvania’s average statewide wage. Developers must also develop local recruiting and training programs, including use of registered apprenticeships and skilled construction labor.

Are Other States Following Similar Models?

Pennsylvania is not alone, but relatively few states combine this many regulatory tools in one framework. New York may be the closest current comparison.

On July 14, Gov. Kathy Hochul signed Executive Order 62 establishing what New York describes as the nation’s first statewide moratorium on new hyperscale data centers. During development of a statewide Generic Environmental Impact Statement, the state’s Department of Environmental Conservation will for up to one year withhold discretionary permits that had not already been deemed complete.”

New York’s Energize NY proceeding is examining requirements that data centers either pay more for power or supply their own. Hochul also directed regulators to consider a Grid Acceleration Fund financed by data center developers, mechanisms requiring projects to fund new clean generation dedicated to their operations, and an insurance pool protecting customers from speculative large loads. New York is also developing a Community Investment Framework to help municipalities negotiate benefits and Hochul is pursuing legislation to repeal sales-tax exemptions for massive data centers.

Illinois has already paused new data center incentive agreements while Gov. JB Pritzker presses lawmakers to adopt a broader framework with several similarities to Pennsylvania’s. Governor JB Pritzker stopped processing new Data Center Investment Program incentive agreements beginning July 1, 2026, while calling for legislation establishing a separate data center electricity rate class. His framework would assign generation, transmission, distribution and water-system costs caused by data centers to the industry, require facilities to generate or pay for new clean energy, and make some data center loads interruptible when the grid is strained. It also proposes banning nondisclosure agreements, requiring energy and water reporting, providing public notice of permit applications and requiring community benefit agreements.

The distinction is important: Pennsylvania has already used executive authority to implement significant portions of its system, while most of Pritzker’s broader Illinois framework still requires legislative approval.

Oregon has adopted a narrower but significant version of the “cost causer pays” philosophy. House Bill 3546 directs the Oregon Public Utility Commission to establish a separate service classification for large energy-use facilities and requires the resulting tariffs to allocate the costs of serving those customers to them while protecting other retail customers from the associated risks. Oregon regulators are also examining connection charges, minimum-load commitments and other mechanisms to minimize stranded infrastructure.

Texas has concentrated on reliability, credible interconnection requests and financial responsibility. Senate Bill 6, signed in 2025,which we identified at the time as a potential model for other states, generally applies new requirements to loads above 75 MW. It requires large customers to contribute toward interconnection costs, pay at least a $100,000 initial transmission-screening fee, demonstrate site control and make financial commitments supporting infrastructure built to serve them. The law also provides mechanisms for large loads to be curtailed during grid emergencies.

Texas has since pushed that screening concept further. On August 3, Gov. Greg Abbott directed ERCOT to conduct additional verification before advancing data center large loads through the interconnection process, prompting ERCOT to postpone its original Batch Zero classification deadline. The Public Utility Commission subsequently approved a revised process allowing conditional classifications, but on August 31 ERCOT delayed those classifications again, saying it needed additional time for data validation and due diligence. The episode underscores the larger policy trend: requested megawatts are increasingly being treated as claims that must be substantiated rather than capacity planners can automatically assume will materialize.

Texas shares two important elements with Pennsylvania: filtering speculative or insufficiently mature projects from the interconnection process and subjecting qualifying large loads to defined curtailment and demand-management requirements during grid emergencies. It does not, however, impose Pennsylvania-style statewide clean-energy, labor and community-benefit requirements.

Virginia, Georgia and Ohio have moved primarily through utility regulation rather than comprehensive statewide development policies. Virginia’s State Corporation Commission created a separate GS-5 rate class for Dominion Energy Virginia’s largest loads. New qualifying customers face 14-year minimum service obligations, while large loads generally must pay monthly charges covering at least 85% of certain transmission and distribution commitments. The SCC also authorized collateral requirements intended to protect other customers if a proposed project fails to materialize.

Georgia regulators have authorized special terms for customers using more than 100 MW, including longer contracts, minimum billing requirements and recovery of generation, transmission and distribution costs associated with serving large loads. The Georgia Public Service Commission says the measures are intended to prevent data center-related expenses from being shifted to residential and smaller business customers.

Ohio’s approach is similar. The PUCO-approved AEP Ohio data center tariff requires new large data centers to pay for at least 85% of their contracted electricity capacity for as long as 12 years, even if actual consumption falls below that level. That effectively places much more of the stranded-investment risk on developers rather than other ratepayers.

Arizona has attacked the issue through incentives. Arizona’s 2026 tax legislation imposed a three-year moratorium on new applications for and grants of computer data center tax relief, running from July 1, 2026 through June 30, 2029, while policymakers reassess the incentive and the industry’s infrastructure impacts.

New Hampshire is moving toward an even more restrictive position. Gov. Kelly Ayotte said in August that she supports a statewide moratorium on new data centers, citing their potential effects on electricity prices, water and surrounding communities. On September 2, amid reports of a potential hyperscale project in Bow, Ayotte said she intends to include a multi-year data center moratorium in her next state budget and specifically opposed development of the Bow project.

Public filings show Granite Shore Power, owner of the former Merrimack Station coal plant, has requested an Eversource viability assessment for a potential 350-MW load, although those filings do not explicitly identify the proposed facility as a data center. The prospective redevelopment nevertheless highlights the tension now confronting states: even brownfield power-generation sites with existing grid infrastructure can face political resistance when hyperscale loads raise broader questions about regional power supply and ratepayer exposure.

The change in direction is particularly notable because New Hampshire lawmakers considered legislation earlier this year that would have made data centers a use by right in commercial and industrial zones and prevented municipalities from regulating them more strictly than comparable uses. The measure passed the Senate but died on the table in the House.

A Second Generation of Data Center Policy

The first generation of state policy was largely about attraction: sales-tax exemptions, property-tax concessions, expedited permitting and promises of economic development. The emerging second generation is increasingly about proof; proof that a project is real, proof that adequate power exists, proof that developers can pay for infrastructure, proof that local communities support development and proof that the economic benefits justify the demands placed on power and water systems.

Pennsylvania’s GRID program stands out because it combines nearly all of those concerns—generation, cost allocation, environmental protection, permitting, transparency, labor standards and community approval—within one framework.

For the data center industry, the implications extend well beyond Pennsylvania. New York and Illinois are already moving toward similarly comprehensive policies, while Texas, Oregon, Virginia, Georgia and Ohio have implemented many of the same principles through utility regulation.

The competitive question for states therefore may be changing. The issue is no longer simply which jurisdiction can offer the largest tax exemption or the quickest access to land. Increasingly, the winning projects may be those that arrive with their power supply, financing, grid contribution, community agreement and environmental strategy already attached. This may prove to be one of the defining changes in U.S. data center development during the AI infrastructure boom.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

AI data boom gives tape storage a new lease on life

“We are seeing unprecedented data growth combined with increasing cost, energy, and cyber resilience pressures across the industry,” said Hugues Meyrath, CEO of Quantum in a statement. “As organizations adapt to this new reality, tape is increasingly viewed as a strategic component of modern data infrastructure, delivering predictable economics and

Read More »

DOE’s Alternative Fuels and Feedstocks Office Announces up to $58 Million to Promote Chemical Innovation

WASHINGTON—The U.S. Department of Energy’s (DOE) Alternative Fuels and Feedstocks Office (AFFO) today announced up to $58 million in funding to advance novel, high-impact chemical technologies that use domestically sourced alternative and waste feedstocks. Projects funded through this initiative will advance new methods of chemical production that maximize the use of America’s vast biomass and waste resources. This funding supports President Trump’s Executive Order, Unleashing American Energy, which calls for targeted federal investment in technology innovation that strengthens the U.S. chemical sector.  “By investing in projects that use our abundant domestic resources and build strong industry partnerships, DOE will bolster American chemical manufacturing,” said AFFO Director Valerie Sarisky-Reed. “This funding will turn cutting-edge research into market-ready industrial solutions, strengthening our chemical supply chain, lowering costs for U.S. businesses and consumers, and securing America’s economic future.” The Accelerating Scale-up and Pre-piloting of Emerging Chemical Technologies (ASPECT) funding opportunity promotes the development and commercialization of chemical technologies that lower costs, enhance performance, reduce reliance on imports, and unlock strong market growth potential. ASPECT seeks to reduce time to market by moving projects from laboratory research to pre-pilot scale testing. It includes two main topic areas:  Topic Area 1: Bench ASPECT Proposals should support the development and adoption of new technologies for producing chemicals from alternative feedstocks, moving beyond proof-of-concept to bench and pre-pilot scale. Topic Area 2: Pre-pilot ASPECT Proposals should aim to accelerate the development and market entry of strategically valuable, domestically produced chemicals. AFFO will host an informational webinar for potential applicants on September 11, 2026, to explain the streamlined application and review process.  Applicants must submit concept papers by October 9, 2026, at 5:00 p.m. ET, to be eligible to submit a Stage 1 full application. To learn more about topic areas, registration requirements, applicant eligibility, webinar registration, and the Teaming Partner list, visit the

Read More »

Energy Secretary Secures Carolinas’ Grid Ahead of Holiday Weekend

WASHINGTON—The U.S. Department of Energy (DOE) today issued an emergency order to mitigate the risk of blackouts in the Carolinas amid hot weather conditions. Issued pursuant to Section 202(c) of the Federal Power Act, the order authorizes Duke Energy Carolinas, LLC (Duke) to dispatch specified units and to order their operation as needed to maintain reliability. The order also authorizes Duke, in collaboration with its Transmission Owners, to direct backup generation resources to operate as a last resort before declaring an Energy Emergency Alert (EEA) 3 or during an EEA 3. This order was issued pursuant to an application from Duke submitted on September 3, 2026. “Thanks to this emergency order, Americans will not have to worry about losing access to affordable power this Labor Day weekend,” said U.S. Secretary of Energy Chris Wright. “The previous administration’s energy subtraction policies weakened the grid, leaving Americans more vulnerable during events like this. Under President Trump’s leadership, we are ensuring that hardworking American families and businesses in the Carolinas’ have continued access energy to power and cool their homes.” On day one, President Trump declared a national energy emergency after the Biden administration’s energy subtraction agenda left behind a grid increasingly vulnerable to the risk of blackouts. The order is in effect beginning on September 3, 2026, through September 8, 2026. 

Read More »

President Trump’s Energy Dominance Agenda is Delivering for American Energy Workers

WASHINGTON—This Labor Day, the U.S. Department of Energy (DOE) is celebrating the hardworking men and women who power America with the release of the 2026 U.S. Energy and Employment Report (USEER). The annual report highlights strong job growth across critical energy sectors at the heart of President Trump’s Energy Dominance agenda. America’s most reliable energy sectors are adding jobs and powering industries across the country. These critical sectors deliver the affordable, reliable, and secure energy that American families, businesses, and industries depend on. After years of decline under the previous administration, America’s coal and nuclear power workforces are growing again under President Trump’s leadership. “Energy is the sector that enables every other sector of our economy, and America’s energy workers make it all possible,” said U.S. Secretary of Energy Chris Wright. “These hardworking men and women keep our lights on, our factories running, and our economy growing. President Trump’s Energy Dominance agenda is putting them first and delivering the affordable, reliable, and secure energy America needs.” Energy careers are also delivering bigger paychecks for American workers. The median energy-sector salary reached $63,000—24% higher than the U.S. median salary. America’s growing energy needs are creating the jobs of the future. The 2026 USEER’s new Future Outlook chapter highlights rising demand for skilled energy workers and growing competition for talent across energy and other expanding industries. These trends are opening new pathways to high-paying, skilled careers for American workers. As energy demand grows, America’s energy workforce will power the next generation of American industry, innovation, and economic growth. Highlights from the report include:  •    The median energy-sector salary was $63,000, 24% higher than the national median salary of $51,000. •    Natural gas transmission and distribution added 12,500 workers, growing employment by 5%. •    Nuclear power added 2,300 workers, growing employment by 4%. •    Coal power generation added 2,800 workers, growing

Read More »

Hydrocarbons and Geothermal Energy Office Issues Request for Information to Advance Private Investment in Innovative American Energy Technologies

WASHINGTON — The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO), in collaboration with the Office of Technology Commercialization, today announced a Request for Information (RFI) seeking stakeholder input on opportunities to better connect private capital and public-private partnership programs with coal, oil and gas, and geothermal energy technologies.  The RFI supports President Trump’s American Energy Dominance agenda by strengthening connections among American energy innovators, industry and private capital to accelerate commercialization, lower energy costs, strengthen reliability and energy security, and power American prosperity. This effort builds on the recently announced Small Business Investment Company-Energy (SBIC-E) Initiative, announced by U.S. Energy Secretary Chris Wright and SBA Administrator Kelly Loeffler to mobilize private capital for American energy technologies and businesses.  “President Trump has made American energy innovation and dominance a priority, and connecting promising technologies with the right technical expertise, industry partners and sources of capital is critical to delivering on that vision,” said DOE Acting Assistant Secretary for the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “Through this Request for Information, we would like to hear directly from investors, innovators and industry about the opportunities and challenges they see in commercializing coal, oil and gas, and geothermal energy technologies.” “Too often, promising American technologies face barriers between development and commercial deployment,” said Anthony Pugliese, DOE Chief Commercialization Officer and Director of the Office of Technology Commercialization. “We want to better understand where those barriers exist and how DOE can work with the private sector to create stronger pathways to market, helping more American energy technologies scale, compete, and succeed.”  DOE is soliciting feedback from investors, industry, academia, research laboratories, government agencies and other stakeholders to better understand investor interest, barriers and opportunities related to the development and commercialization of subsurface energy technologies.   Areas of interest include, but are not

Read More »

Energy Department Announces Geothermal Center of Excellence to Advance Geothermal Technology Innovation and Development

WASHINGTON — The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office today established a Geothermal Center of Excellence (CoE) to advance President Trump and Secretary Wright’s commitment to delivering affordable, reliable, and secure energy.  The Center will unite expertise and world-class capabilities from across DOE’s National Laboratories to accelerate the discovery and development of gigawatt-scale geothermal energy, resource discovery, and commercial development.  The National Laboratory of the Rockies (NLR) will lead the consortium, with support from the National Energy Technology Laboratory (NETL).  “America has vast geothermal resources beneath our feet that can provide reliable, around-the-clock energy while strengthening our energy dominance,” said DOE Under Secretary for Energy Kyle Haustveit. “Under President Trump’s leadership, the Geothermal Center of Excellence will leverage the world-class scientific and engineering expertise of our national laboratories in partnership with industry to unlock gigawatt-scale power generation, expand American energy production, and deliver more affordable, reliable, and secure energy to the American people.” DOE formally launched the Center at NLR’s campus in Golden, Colorado, bringing together DOE leadership, elected officials, NLR and NETL leadership, laboratory staff, and industry representatives to advance the Center’s vision and priorities.  “The Geothermal Center of Excellence marks an important step in our work to accelerate gigawatt-scale geothermal energy on the U.S. grid,” said DOE Acting Assistant Secretary for the Hydrocarbons and Geothermal Energy Office Curt Coccodrilli. “By driving innovation and enhancing lab-industry collaboration, the Center will help us achieve our goals to enhance reliable baseload power, strengthen grid reliability, and improve long-term energy security.” The Center will also serve as industry’s main entry point to DOE’s National Laboratories. An Industry Advisory Board will provide objective insight into industry-relevant geothermal research needs, accelerate industry-lab partnerships, and advise on Center priorities.  For more information, contact geo.centerofexcellence@nlr.gov.

Read More »

San Matías Pipeline secures $900 million for Vaca Muerta-to-LNG gas pipeline

The remaining $400 million will be contributed by the consortium’s shareholders: Pan American Energy, YPF, Pampa Energía, Harbour Energy, and Golar LNG. The 472-km, 36-in. OD San Matías Pipeline, which will originate at Tratayén, one of Vaca Muerta’s main gas hubs, is designed to transport 27 million cu m/d (MMcmd) of natural gas, aligned with the gas requirements of the two FLNG units. Hilli Episeyo will have LNG production capacity of 2.45 million tonnes/year (tpy) and will require about 11.5 MMcmd of feed gas. Esperanza, previously known as MKII, will add another 3.5 million tpy and require close to 16 MMcmd of feed gas. Hilli Episeyo is expected to begin operations in 2027, followed by Esperanza in 2028. The project also will include a compressor station with about 46,000 hp of installed capacity to maintain required pressure and flow across the system. Pipeline construction has been awarded to the SICIM-Víctor Contreras consortium, while OPS will be responsible for the Allen compressor station. IEB Construcciones was selected to manage and coordinate the project’s different construction fronts. In August, the first 36-in. line pipe manufactured in India began arriving at the Port of San Antonio Este. Construction is scheduled to begin in August 2026, with completion targeted for mid-2028. The project was admitted to Argentina’s Large Investment Incentive Regime (RIGI) in June and has environmental impact approvals from Neuquén and Río Negro provinces.

Read More »

ERCOT Puts Texas AI Megawatts to the Test

Texas has no shortage of proposed data center megawatts. The harder question is how many of them are real. That distinction is becoming central to the Electric Reliability Council of Texas (ERCOT) as the state works through an unprecedented wave of AI, hyperscale and other large-load requests. In June, ERCOT said it was tracking more than 438 GW of proposed large loads, nearly 89% associated with data centers. By Aug. 3, Gov. Greg Abbott said ERCOT was considering approximately 474 GW of connection requests, roughly 90% from data centers and more than five times the system’s record peak demand. Neither figure represents a forecast of what will actually get built. And that is increasingly the point. ERCOT’s new Batch Zero process is beginning to put harder boundaries around Texas’ enormous development pipeline, asking which projects have enough maturity, technical information and commitment to warrant space in the transmission plan. At the same time, new requirements surrounding voltage ride-through and dynamic modeling are forcing another realization on the AI infrastructure industry: at hundreds of megawatts, a data center is no longer simply a customer at the edge of the grid. Its behavior can affect the grid itself. For developers, utilities and investors, Texas is becoming a large-scale test of what separates an announced AI campus from executable infrastructure. The Queue Is Not the Grid The sheer scale of ERCOT’s large-load queue can obscure how early many projects remain. ERCOT’s April 2026 monthly report offered a revealing snapshot. Large-load applications totaled 445.8 GW through 2033, but 321 GW had no studies submitted to ERCOT. Another 93.7 GW was under ERCOT review, while 22 GW had met the applicable Section 9.5 requirements. Against that enormous development funnel, ERCOT reported just 5.9 GW of observed energized large loads, with another 3.2 GW approved to

Read More »

DCF Trends Summit: AI Compresses the Data Center Hardware Lifecycle and Raises the Stakes for ITAD

The AI infrastructure race is largely a story about getting more computing into data centers faster. But the accelerated hardware cycle is creating an equally consequential problem at the other end of the rack: getting yesterday’s equipment back out while it is still valuable. GPU systems built around increasingly dense and specialized AI architectures are beginning to challenge traditional assumptions about IT asset disposition, or ITAD. Where conventional enterprise infrastructure might remain in service for three to five years, newer GPU platforms can face refresh cycles of 18 to 24 months, according to Josh Humm, Data Center Solutions Manager at Dynamic Lifecycle Innovations. That compression changes the economics as well as the mechanics of decommissioning. “The faster we can get the materials out of your building, the more it’s worth, the more we can return to your program,” Humm said. Humm joined DCF Contributing Editor Doug Black for a DCF Show podcast recorded at the third annual Data Center Frontier Trends Summit, held Aug. 4-6 in Reston, Virginia. Their conversation focused on a less visible part of the AI infrastructure buildout: what happens to servers, accelerators, memory, storage and networking gear when the next generation arrives. The answer increasingly touches facility operations, data security, logistics, sustainability and potentially millions of dollars in recoverable hardware value. AI Hardware Changes the Exit Path AI systems create some obvious physical challenges for decommissioning. Traditional ITAD teams accustomed to pulling 1U and 2U servers out of air-cooled racks may instead encounter liquid-cooling manifolds, substantially heavier systems and equipment requiring specialized rigging and handling procedures. Humm said some systems can weigh between 5,000 and 6,000 pounds. “We’re not pulling out just 1U, 2U servers out of racks anymore,” he said. Liquid cooling adds another layer. Removing infrastructure designed around direct-to-chip or other liquid-cooling architectures can

Read More »

Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist  CFD Engineer – Data Center Mechanical Design New York, NY (remote)This position is also available as a remote role anywhere in the U.S. in addition to key markets such as Cedar Rapids, IA; Kansas City, CA or White Plains, NY. Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, and sustainable design expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits.  Electrical Commissioning Agent – Data Centers Columbus, OH (limited travel) Non-traveling CxA positions available in: Indianapolis, IN; Cedar Rapids, IA; Phoenix, AZ; Atlanta, GA and Austin, TX. Traveling CxA based near any major airport, otherwise traveling to: New York, NY; White Plains, NY; Dallas, TX; Richmond, VA; Montvale, NJ; Charlotte, NC; Salt Lake City, UT; Kansas City, MO; Chesterton, IN or Chicago, IL. *** Also looking for a lead EE, ME CxA agents and CxA PMs. *** This opportunity is with a leading EPC company of data center design / build / commissioning solutions. This company provides a complete life cycle of solutions that are custom-fit to the requirements of their client’s mission-critical facilities. This opportunity provides a career-growth minded role with exciting projects with

Read More »

DCFTS 2026: Data Center Development Moves From Projection to Execution

The Data Center Map Gets More Selective For EdgeCore, finding viable development locations has become an exercise in aggressive filtering. Kestler said the company evaluated 172 sites during the previous 12 months to narrow the field to seven locations it wanted to actively manage. Its requirements include roughly 100 acres or more, the ability to support a 300-MVA-or-larger substation, credible utility development timelines and sufficient network proximity to support what Kestler called “interdependent compute” locations. The distinction matters. Not every AI workload needs the same geography, and not every site marketed as available for AI infrastructure can support the combination of land, network, power and timing required to make a project real. Miller placed that process in the context of a data center map already being redrawn by power availability. Northern Virginia’s power constraints in 2022 provided an early warning, redirecting capacity into markets including Atlanta and driving developers farther afield in search of large blocks of electricity. AI has intensified the process. As campus requirements move toward hundreds of megawatts and, in some cases, gigawatt scale, Miller said, fewer locations can satisfy all of the requirements simultaneously. Community acceptance is narrowing the map further. At the same time, Miller pointed to a potential countertrend: the growth of AI inference could create another layer of data center geography. Some inference architectures may favor smaller, distributed facilities rather than concentrating every workload inside enormous campuses. The result could be a more stratified infrastructure market. “Everything everywhere all at once,” Miller said. Build Where Data Centers Are Wanted For large campus development, Kestler offered another increasingly important filter. EdgeCore wants to build where it is wanted. In practical terms, that means targeting municipalities and jurisdictions that have already made deliberate decisions about where data center or other light industrial development belongs. Kestler

Read More »

How States Are Rewriting the Rules for Data Center Growth

Pennsylvania has moved from courting data center investment to setting much stricter terms for how the industry grows. Governor Josh Shapiro’s August 18 executive order creates one of the country’s most comprehensive state-level frameworks for large data centers, linking a more favorable environmental permitting process and state tax treatment to requirements covering power supply, grid costs, local approval, workforce commitments, water use and environmental performance. The order is the latest stage of Shapiro’s Governor’s Responsible Infrastructure Development, or GRID, initiative. GRID was announced in February, detailed in May and partially reinforced through Pennsylvania’s 2026-27 budget in July. The Pennsylvania House also passed legislation intended to codify the standards, but the Senate did not act. Shapiro has now used existing executive and agency authority to put much of the framework into effect immediately. Pennsylvania’s debate has also produced more direct proposals to slow development. Senate Bill 1359 would impose a statewide moratorium on hyperscale data center development and permitting, although the measure remains in the Senate Local Government Committee. A separate measure, Senate Bill 1345, would authorize municipalities to temporarily stop accepting or considering new applications for high-impact data centers for up to 18 months. SB 1345 advanced to second consideration in the Senate in July. Neither measure has become law. What is the Impact on Data Center Development? For data center projects with peak demand exceeding 25 MW, Pennsylvania’s template GRID Consent Order and Agreement provides the mechanism for binding developers to the requirements while allowing the states Department of Environmental Protection (DEP) to review qualifying permit applications on a rolling basis. Developers that decline to sign can still seek permits, but DEP will not begin reviewing their applications until local approvals and required water or wastewater authorizations are secured, and permits will not be handled on a rolling basis.

Read More »

PwC Maps $31.6 Trillion AI Data Center Buildout Through 2050

The scale of the AI infrastructure buildout is becoming easier to describe in trillions than billions. PwC’s inaugural Global Data Centre Outlook 2026–50 projects $31.6 trillion in cumulative global data center capital expenditure through 2050 under its central scenario, with annual spending rising from roughly $800 billion in 2026 to $1.1 trillion in 2030 and $1.8 trillion by 2050. There is also an enormous range around that central case. PwC, working with Oxford Economics, puts plausible cumulative investment at roughly $22 trillion to nearly $50 trillion, depending primarily on how quickly AI adoption progresses. But the most important finding may not be the $31.6 trillion headline. PwC argues that the economics of AI infrastructure are creating a fundamentally different capital cycle from previous infrastructure booms. Data centers are long-lived assets, but the increasingly expensive computing equipment inside them is not. Servers, GPUs, networking systems and other information and communications technology equipment are expected to require replacement on roughly four- to six-year cycles. PwC calculates that every $1 of construction spending can effectively commit the market to approximately $12 of subsequent ICT investment. ICT equipment accounts for about 70% of total data center CapEx in 2026 under its model, rising to 93% by 2050. That creates something closer to a continuously renewing technology platform than a conventional construction cycle. Over a 20-year data center asset life, PwC estimates that a facility could undergo three to five rounds of ICT investment. Increasing rack densities can force corresponding power and cooling upgrades, but the largest recurring expense remains the compute hardware itself. For data center developers and operators, that distinction matters. The economic life of the building increasingly diverges from the technical and financial life of the infrastructure filling it. AI Fragments the Data Center Demand Model The report also sees AI broadening

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »