OpenAI “reaffirmed its promise to pay the full cost of powering data centers” in a series of commitments it published on Thursday, CNBC reported. CNBC said the commitments cover data centers OpenAI owns and operates, and its key points say they apply to such data centers in the future: the company will solicit community input, publish construction plans and stay away from non-disclosure agreements with public officials. In a separate policy blueprint, CNBC reported, OpenAI encouraged policymakers to enact similar commitments as laws.
The commitments came two days after the US midterm elections. CNBC said voters backed restrictions or rejected pro-development measures in all but one of 41 local data-center ballot measures across 10 states, according to an analysis by Ballotpedia and results CNBC gathered. That is 40 of 41, or about 98%, by our arithmetic. Bloomberg wrote that “the series of commitments was released Thursday, just two days after voters across the US backed candidates at all levels of government who support curbs on data centers and greater oversight of AI.”
Business Pill · Grid Cost Allocation
A one-minute explainer of grid cost allocation: who pays for the power lines and plants a new large customer needs. It teaches the general idea only and does not discuss OpenAI.
The key insight:OpenAI published commitments on 5 November to pay the full cost of powering the data centers it owns and operates, to seek community input, to publish construction plans and to avoid non-disclosure agreements with public officials, CNBC reported; they came two days after local ballot measures went against data center development in 40 of 41 cases, about 98% by our arithmetic.
According to CNBC’s key points, OpenAI “published a policy blueprint and a series of commitments that it pledged to apply to company-owned and -operated data centers in the future”, and said it will “solicit community input around the projects, publish construction plans and protect ratepayers”.
Put together, CNBC’s report names these commitments: paying the full cost of powering the data centers, seeking community input, publishing construction plans, protecting ratepayers, and avoiding non-disclosure agreements with public officials. The blueprint asks lawmakers to turn similar commitments into law.
Update, 5 Nov, 10:45Z: OpenAI’s own post is now quoted in the box below. An earlier version of this piece said we had not read it: it was not on OpenAI’s news page or the OpenAI Global Affairs feed when we checked between 10:10 and 10:25 UTC, so the commitments above were first given as CNBC described them.
On power: “We’ll pay the full cost of the electricity we use and the infrastructure needed to serve us. Before major spending begins, we’ll provide financial assurances so other customers are protected if a project is delayed, reduced, or canceled.”
On disclosure: “We’ll publish construction plans and independent noise studies before operations begin and annually afterward. And we will not use non-disclosure agreements (NDAs) with public officials, allowing only narrow protections covering legitimate security information, trade secrets, or proprietary or competitively sensitive information.” It also says it will “publish site-level water and electricity use” and “report annually on hiring and apprenticeships.”
The post also cites local figures. In Effingham County, Georgia, residents “helped shape a $4.8 million grant to provide free school meals for all 14,000 students in the county”; in Pike County, Ohio, a “joint $6 million commitment from OpenAI and SB Energy” went to childcare; and OpenAI’s agreement with Georgia Power “allows the utility to reduce the power it delivers to us by up to 1,000 megawatts during periods of high demand.”
The blueprint asks that “State utility commissions should require large electricity customers to cover the costs they add to the grid and protect other customers if a project falls through.”
Update, 5 Nov, 10:48Z: OpenAI’s August letter to Texas. OpenAI’s news feed also carries a letter to Texas Governor Greg Abbott, dated August 7, 2026 and signed by Uday Ruddarraju, OpenAI’s CTO of Compute. It thanks the governor for “establishing clear expectations for the responsible development of AI infrastructure in Texas” and says: “OpenAI-developed projects will be structured so that project-driven infrastructure costs are fully funded and are not shifted onto residential or small-business customers.”
The letter says OpenAI “will work with utilities, ERCOT, and our infrastructure partners to support the energy resources and infrastructure needed to serve our growth and to operate our projects responsibly during periods of system stress”, will “minimize water consumption and prioritize efficient cooling technologies, including closed-loop systems”, and will provide “information concerning electricity and water use, infrastructure investments, public incentives, and relevant community protections.”
The two-page letter names no project sites and gives no megawatt or dollar figures. It predates the 5 November post quoted above by about three months.
Update, 5 Nov, 11:34Z: OpenAI also asks for rules for the whole industry. The same OpenAI post says: “Voluntary commitments from companies are an important starting point, but our blueprint goes further—asking federal, state, and local policymakers to establish clear rules for how the industry builds.” It adds: “State utility commissions should require large electricity customers to cover the costs they add to the grid and protect other customers if a project falls through.”
On nondisclosure agreements, the post says the blueprint calls “for narrow limits on when developers can require public officials to sign NDAs”, and that where states or local governments offer tax incentives, “the terms should be public, with measurable commitments and a way to recover benefits if a developer falls short.”
Update, 5 Nov, 14:14Z: Meta responds. Meta spokesperson Andy Stone wrote on X at 13:32 UTC: “This is a good thing. We’re glad OpenAI is joining Meta in a long-ago commitment Meta made to pay our own energy and water costs so they’re not passed onto consumers, fund new and upgraded grid infrastructure, and support local communities.” (post)
Meta’s data center site says it operates by “ensuring we’re paying our costs for energy, adding new energy to grids, minimizing water use, preserving local habitats and supporting water restoration projects.” The page does not give a date for that commitment; “long-ago” is Stone’s description.
Local data-center ballot measures on 3 November 2026: CNBC reported, citing a Ballotpedia analysis and results it gathered, that voters backed restrictions or rejected pro-development measures in all but one of 41. The share is our arithmetic.
What Was Posted on X
OpenAI is pledging to cover the full power costs of its future company-owned and operated data centers, publish construction plans, and avoid NDAs with public officials.
The company will also seek input from local communities and is urging lawmakers to make similar commitments mandatory.
This comes just two days after voters rejected or backed restrictions on data center development in 40 of 41 local ballot measures across 10 states.
Wall St Engine summarised CNBC’s report on X: OpenAI is pledging to cover the full power costs of its future company-owned and operated data centers, publish construction plans, avoid NDAs with public officials and seek input from local communities, and is urging lawmakers to make similar commitments mandatory. The post cites the 40 of 41 ballot count and credits CNBC as its source.
OpenAI says it will cover the full power costs for data centers it owns, publish construction plans and drop NDAs with public officials while asking lawmakers to make those rules mandatory for everyone else.
Interesting timing after the midterms showed how much resistance there is to new data centers.
Shay Boloor summarizes the pledge: OpenAI will cover full power costs at data centers it owns, publish construction plans and drop NDAs with public officials, while asking lawmakers to make those rules mandatory for everyone else. Boloor calls it โinteresting timingโ after the midterms showed resistance to new data centers; that read is theirs.
This is a good thing. We’re glad OpenAI is joining Meta in a long-ago commitment Meta made to pay our own energy and water costs so they’re not passed onto consumers, fund new and upgraded grid infrastructure, and support local communities.
Meta spokesperson Andy Stone posted this at 13:32 UTC on 5 November 2026. The post welcomes OpenAI’s pledge and says Meta made a ‘long-ago commitment’ to pay its own energy and water costs, fund new and upgraded grid infrastructure and support local communities; the update above quotes it in full. ‘Long-ago’ is Stone’s description; the Meta data center page cited above gives no date.
$META spokesperson Andy Stone welcomed OpenAI’s pledge to cover its data center power costs, noting that Meta made a similar commitment years ago.
Wall St Engine posted this at 14:02 UTC, summarising Stone’s post as Meta welcoming OpenAI’s pledge and ‘noting that Meta made a similar commitment years ago’. ‘Years ago’ is Wall St Engine’s paraphrase of Stone’s ‘long-ago’; the update above quotes Stone directly.
What Lehane Said
Chris Lehane, OpenAI’s chief global affairs officer, spoke to reporters at a briefing on Wednesday, CNBC reported. “What we’re doing with this blueprint is really laying out the best lessons that we have learned and committing to applying them as they go forward,” Lehane said. “This will help ensure that there is a very high floor in terms of how people move forward.”
Lehane said the blueprint has been in the works since August and that he has met dozens of lawmakers and candidates since then, according to CNBC. “Having these conversations now actually helps put more energy into the momentum, so that when people come back in late January, new Congress is in in session, a lot of the work is being done in advance,” he said.
The full-cost promise is not new. In its Grid Protectors Program post on 2 November, OpenAI wrote: “Families and small businesses should not be asked to subsidize a compute campus’s electricity needs.” It added: “We’ve always been committed to paying our own energy costs, including the electricity we use and the infrastructure needed to serve our campuses.”
For its planned campus in Effingham County, Georgia, OpenAI wrote that “we have committed to pay the full infrastructure and electric-service costs required to serve the project”, and that its agreement with Georgia Power includes up to 1,000 megawatts of flexible demand response, or 1 gigawatt. We covered that post in OpenAI Pledges Data Center Power Cuts, Up to 1 GW in Georgia.
Update, 5 Nov, 10:45Z: the other companies’ offers.Axios reported that “Amazon, Google, Microsoft, OpenAI and other major data center developers began laying out a new vision for winning public approval” before Tuesday’s vote, and that many of their proposals include “commitments to ensure data center developers cover their infrastructure and power costs”. Axios said OpenAI on Thursday unveiled a “Compute Campus Policy Blueprint” with “tens of millions of dollars of commitments for free school lunches, parks, first responders and other priorities”. We have not read that OpenAI document.
Amazon’s own announcement of 2 October launched “Built Together”, saying it “will add more than $1 billion over the next five years” for its US data-center communities. Microsoft’s Community-First AI Infrastructure initiative of 13 January lists five commitments, the first being “We’ll pay our way to ensure our datacenters don’t increase your electricity prices.” Axios refers to Microsoft’s “Datacenter Community Pledge”. Axios also quoted Lehane comparing the moment to the 1996 election: “A lot happens in two years.”
The Business Lever
As we read it, the business lever is permission to build. CNBC reported that OpenAI told investors in February it is targeting $600 billion in total compute spend by 2030, and that it has since announced data center projects in Georgia and Ohio. Each new site depends on local approvals, utility agreements and, in some places, ballot results like the ones in Data Center Limits Lead 40 of 41 Votes on Unofficial Counts.
In our reading, the commitments put a price on that permission: OpenAI offers to carry the power costs and to open up the planning process, and asks lawmakers to set the same floor for everyone. Capacity that others build and operate is a separate question; our evergreen How Microsoft Rents AI Capacity: 3 Neocloud Deals, $70.9B shows how one hyperscaler rents capacity from others.
Connecting the Coverage
Our related pieces on data centers, power and the vote:
As we read the reports, the new element is process rather than price: OpenAI said in its Grid Protectors post on 2 November that it has always been committed to paying its own energy costs, while the 5 November list adds community input, published plans and a line on non-disclosure agreements.
As we read the blueprint as CNBC described it, OpenAI is asking lawmakers to turn its own commitments into a floor for every builder, which Lehane described as a very high floor.
As we read the scope, CNBC says the commitments apply to company-owned and operated data centers in the future, so how they apply to sites built or run by partners is not stated in the reports we read.
Chris Lehane, OpenAI, as reported by CNBC
“This will help ensure that there is a very high floor in terms of how people move forward.”
Three Implications
FOR OPENAI’S BUILDOUT CNBC reported that OpenAI told investors in February it is targeting $600 billion in total compute spend by 2030, with data center projects announced in Georgia and Ohio.
FOR UTILITIES OpenAI’s Georgia agreement includes up to 1,000 megawatts of flexible demand response, according to its 2 November post.
FOR LAWMAKERS Lehane said he has met dozens of lawmakers and candidates since August, CNBC reported, ahead of the new Congress in late January.
The framework says: “Companies that solve the power equation will dominate the AI era; those that don’t will watch their chips sit idle.”
As we read it, the 5 November commitments are one company’s attempt at the political side of that power equation: paying for the electricity and opening up the planning process in exchange for permission to build. The framework predates these commitments and does not discuss them.
What Is Not Established
OpenAI’s post, quoted above, applies the commitments to “future campuses that we own and operate”. The post does not list the future campuses the compact will cover or give a dollar total for the power commitment, and it does not say how the commitments apply to campuses built or operated by partners. We have not read the compact and blueprint documents in full.
We read only one sentence of Bloomberg’s article. The ballot count is CNBC’s, based on Ballotpedia and results it gathered, and unofficial counts can change. We make no forecast on any project or vote.
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OpenAI published commitments on Thursday to pay the full cost of powering the data centers it owns and operates, to seek community input, to publish construction plans and to avoid non-disclosure agreements with public officials, CNBC reported. They came two days after local ballot measures went against data center development in 40 of 41 cases, and they build on a power-cost promise OpenAI made in its Grid Protectors post on 2 November.
A note on sourcing. CNBC’s article was read in full; Bloomberg’s article was read only in one sentence. OpenAI’s own 5 November post was read in full after first publication and is quoted in the update box; the compact and blueprint documents were not read in full. The Grid Protectors quotes are from OpenAI’s post of 2 November 2026. The share of ballot measures is our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
