OpenAI considers rebranding data centers as "AI compute parks"

OpenAI is preparing to launch a public relations campaign after the U.S. midterm elections, seeking to influence the national conversation about artificial intelligence development. Chris Lehane, OpenAI's head of global affairs, told Axios that the company is considering a range of measures, including setting so-called "speed limits" on AI development, helping the public more intuitively understand how AI improves daily life, and pushing for U.S. participation in setting global AI standards.

This is not a simple name change. In recent years, disputes over the construction of large data centers have been increasing across the United States. AI model training and inference require enormous computing resources, so tech companies are racing to build large server clusters. But these facilities typically consume large amounts of electricity and require complex cooling systems, putting pressure on local energy supplies, water resources and infrastructure.

The controversy sparked by data center construction has already forced Amazon and Microsoft to adjust how they communicate with local governments. Both companies previously said they would no longer use non-disclosure agreements (NDAs) to restrict information disclosure when negotiating data center projects with local governments. This reflects a growing awareness among tech companies that simply reaching agreements with local governments and landowners is no longer enough to dispel residents' concerns.

Lehane, OpenAI's head of global affairs, called the social discussion around data centers a "good and healthy discussion." He said communities have the right to hold companies accountable and to ensure that these large projects truly bring transformative benefits to the local area.

These remarks also reveal an important direction for OpenAI's future public relations strategy: companies cannot only emphasize the value of AI infrastructure to global technological development; they must also explain to residents in project locations what tangible benefits they will gain.

The term "AI compute park" is clearly more likely than the traditional "data center" to make the public think of large tech industrial parks, R&D facilities and job opportunities, rather than rows of server rooms that continuously consume electricity. However, changing the name alone cannot solve the real problems brought by infrastructure construction.

OpenAI's publicity plan also has a clear political backdrop. The U.S. midterm elections will be held on November 3, and the results could change the political landscape of the House of Representatives and even the Senate. The company hopes to further engage in AI policy discussions after the election.

Lehane believes that the 2026 midterm elections will serve as an important prelude to observing the 2028 U.S. presidential election, and that AI is likely to become one of the core issues in the next presidential election. As AI's impact on employment, the economy, education, energy and national security continues to expand, policy debates around artificial intelligence are expected to intensify.

Other policy ideas proposed by OpenAI include exploring "speed limits" on AI development, helping the public understand the practical uses of AI in daily life, and promoting a greater U.S. role in setting global AI standards.

Overall, OpenAI is trying to transform AI infrastructure construction from a purely corporate investment issue into a social issue involving national competitiveness, local economic development and the public interest.

However, what ultimately determines whether the public accepts these projects is still the relationship between actual benefits and costs. If data centers can create local jobs, improve energy infrastructure, generate tax revenue and reduce impacts on residents' lives through reasonable arrangements, community support will naturally be easier to obtain. Conversely, if local residents bear the costs to electricity, water and the environment but receive no corresponding returns, then no matter what name the company uses, it will be difficult to eliminate opposition.

The AI industry is entering a new stage: competitiveness is no longer determined only by model algorithms and chip performance, but also by whether companies can secure enough land, electricity, water and social license. For companies like OpenAI, building compute facilities is certainly important, but persuading the public to accept them may prove an equally unavoidable challenge in future expansion.