
人工智能热潮正给美国高校带来全新压力。
长期以来,人工智能始终是高等教育领域争议的焦点——教育工作者、学生和校方管理层围绕这项技术本身及其应用场景争论不休。如今,它已演变为足以产生实质性影响的现实风险。
数据中心竞相争夺具备电力、供水及光纤网络配套的大片土地,高校由此意识到,自有地块作为人工智能基础设施的价值,或已超过其作为教室、实验室或科研场地的价值。例如,乔治·华盛顿大学向亚马逊出售弗吉尼亚校区,便是人工智能产业触角伸入高等教育的典型案例。与此同时,密歇根大学(University of Michigan)正计划在伊普西兰蒂镇区斥资12.5亿美元,建设一座高性能计算研究中心。
曾在乔治·华盛顿大学弗吉尼亚科技校区任教的一位前教授表示,此次出售是高等教育更广泛转型的一个缩影——高校面临财务压力,市场对数据中心用地的需求又极为旺盛,二者发生碰撞。
“高校手握大量土地,而眼下数据中心正掀起抢地热潮。”前教授埃伦·斯卡利‑鲁斯(Ellen Scully-Russ)在接受《财富》杂志采访时表示。
乔治·华盛顿大学4.27亿美元出售校区
今年2月,乔治·华盛顿大学宣布已出售其位于弗吉尼亚州阿什本、占地约120英亩(约合48.6公顷)的弗吉尼亚科技校区。校方最初以保密条款为由,拒绝披露买家身份和交易价格。
“某天学校突然发布公告,称该地块已出售,但受保密协议约束,无法透露买家信息,”斯卡利‑鲁斯解释道,“但校报展开尽职调查,当日便查明了买家身份及交易价格,并向全校通报。”
随后确认,买家是亚马逊数据服务公司,成交价为4.27亿美元。该校区地处劳登县,位于北弗吉尼亚所谓“数据中心走廊”的核心地带——这里是全球数据中心最集中的区域之一。
乔治·华盛顿大学表示,此次出售旨在巩固学校的长期财务状况。根据协议,在校方敲定校内项目与办公机构的搬迁方案期间,学校最多可继续使用该地块五年。校方还表示,出售所得的大部分资金将划入新设立的捐赠基金,符合资格的全职教职员工将获得一次性奖金2500美元,兼职教师则获1250美元奖金。
但在斯考利 拉斯看来,此次出售标志着这座校区的落幕。多年来,该校区始终未能在乔治·华盛顿大学体系内找到可持续的发展定位。这位教授于2009年入职乔治·华盛顿大学,在阿什本校区授课并负责一个项目。她表示,该校区设施较新,部分硬件条件甚至优于华盛顿特区主校区。但她向《财富》杂志透露,校方始终未能找到将阿什本校区纳入核心发展战略的途径。
“在我看来,这个校区始终未能真正站稳脚跟。”她说。
该校区还经历了资源逐步流失。这位前教授将这一过程形容为五六年间资源“一点点流失”:教职人员自然减员后不再补员,助教最终也因预算限制而遭裁撤。她还表示,校方考虑出售地产一事,事先并未告知教职员工与学生。
她在接受《财富》采访时表示:“整个过程毫无透明度。据我所知,教职员工、学生甚至都不知道校方在商议出售校区,更不知道买家是亚马逊。”
乔治·华盛顿大学未立即回应置评请求。
出售公告发布后,校方举办了多场公开座谈会,讨论项目及教职员工的迁移安置事宜。但斯卡利‑鲁斯认为,这种征询为时已晚。
“这就好比在问,你们真的在乎吗?”她说,“在作出这项决定之前,你们在乎过我的想法吗?当事情在推进时,你们有没有想过告知我们?”
斯卡利‑鲁斯表示,乔治·华盛顿大学的财务状况让这一决定更容易理解。该校长期承受多重压力:联邦科研经费缩减、国际学生相关政策变动,以及整个高等教育行业普遍面临的财务困境。校方称,出售校区是夯实财务实力、投资学术使命战略的举措之一。
但这位教授同时提出,这笔交易引出了一个更为根本的问题:在人工智能基础设施建设热潮之下,高校应当如何处置手中的土地。
她向《财富》杂志表示:“我们正不断蚕食高等教育资源,为这一技术的扩张腾出空间,整个过程既没有相应的问责机制,也缺乏审慎周全的推进规划,这一点令我深感忧虑。”
谈及高等教育及其对数据中心投资的长期影响,斯卡利 鲁斯并不看好。
她说:“我认为这不过是短期泡沫。只要出现技术飞跃,这些庞大而丑陋的建筑就会被淘汰。届时该怎么办?”
密歇根大学另辟蹊径
密歇根大学在伊普西兰蒂镇区的项目,是高校参与人工智能基建热潮的另一种方式。密歇根大学联合洛斯阿拉莫斯国家实验室(Los Alamos National Laboratory),计划斥资12.5亿美元打造科研计算中心,用于处理海量计算工作负载。校方表示,该设施将支持医学、材料科学、清洁能源、工程及国家安全等多个领域的科研工作。
校方在其官网上刻意回避“数据中心”这一说法,更倾向于称之为“计算中心”。但该项目仍遭到伊普西兰蒂当地居民的反对。校方表示,该中心将用于“开展人工智能与高性能计算相关应用研究”。
密歇根大学一直在为该项目收购土地。2024年,密歇根大学董事会批准收购伊普西兰蒂镇的两块土地,面积分别为19.82英亩(约合8公顷)和6.03英亩(约合2.4公顷),专门用于未来计算中心建设。2025年,校方又获批在纺织路(Textile Road)购置约124.7英亩(约合50.5公顷)土地,作为后续设施建设的储备用地。
尽管已收购大片土地,但校方仍刻意将本项目与商业数据中心区分开来。校方称其为“专业科研枢纽”而非商业设施,并表示该中心将专用于科研领域的高性能计算。
换言之,该中心的算力不会用于“云计算、流媒体、电商及其他面向消费者或企业的应用”,而是聚焦科学研究。然而,这类科研任务代价不菲:据校方报告,项目初期用电负荷约为50兆瓦,最终将达到100兆瓦。
尽管如此,伊普西兰蒂镇董事会仍一致通过决议,反对拟建的计算研究设施,决议称“予以坚决、明确反对”。
密歇根大学未立即回应《财富》杂志的置评请求。(财富中文网)
译者:中慧言-王芳
人工智能热潮正给美国高校带来全新压力。
长期以来,人工智能始终是高等教育领域争议的焦点——教育工作者、学生和校方管理层围绕这项技术本身及其应用场景争论不休。如今,它已演变为足以产生实质性影响的现实风险。
数据中心竞相争夺具备电力、供水及光纤网络配套的大片土地,高校由此意识到,自有地块作为人工智能基础设施的价值,或已超过其作为教室、实验室或科研场地的价值。例如,乔治·华盛顿大学向亚马逊出售弗吉尼亚校区,便是人工智能产业触角伸入高等教育的典型案例。与此同时,密歇根大学(University of Michigan)正计划在伊普西兰蒂镇区斥资12.5亿美元,建设一座高性能计算研究中心。
曾在乔治·华盛顿大学弗吉尼亚科技校区任教的一位前教授表示,此次出售是高等教育更广泛转型的一个缩影——高校面临财务压力,市场对数据中心用地的需求又极为旺盛,二者发生碰撞。
“高校手握大量土地,而眼下数据中心正掀起抢地热潮。”前教授埃伦·斯卡利‑鲁斯(Ellen Scully-Russ)在接受《财富》杂志采访时表示。
乔治·华盛顿大学4.27亿美元出售校区
今年2月,乔治·华盛顿大学宣布已出售其位于弗吉尼亚州阿什本、占地约120英亩(约合48.6公顷)的弗吉尼亚科技校区。校方最初以保密条款为由,拒绝披露买家身份和交易价格。
“某天学校突然发布公告,称该地块已出售,但受保密协议约束,无法透露买家信息,”斯卡利‑鲁斯解释道,“但校报展开尽职调查,当日便查明了买家身份及交易价格,并向全校通报。”
随后确认,买家是亚马逊数据服务公司,成交价为4.27亿美元。该校区地处劳登县,位于北弗吉尼亚所谓“数据中心走廊”的核心地带——这里是全球数据中心最集中的区域之一。
乔治·华盛顿大学表示,此次出售旨在巩固学校的长期财务状况。根据协议,在校方敲定校内项目与办公机构的搬迁方案期间,学校最多可继续使用该地块五年。校方还表示,出售所得的大部分资金将划入新设立的捐赠基金,符合资格的全职教职员工将获得一次性奖金2500美元,兼职教师则获1250美元奖金。
但在斯考利 拉斯看来,此次出售标志着这座校区的落幕。多年来,该校区始终未能在乔治·华盛顿大学体系内找到可持续的发展定位。这位教授于2009年入职乔治·华盛顿大学,在阿什本校区授课并负责一个项目。她表示,该校区设施较新,部分硬件条件甚至优于华盛顿特区主校区。但她向《财富》杂志透露,校方始终未能找到将阿什本校区纳入核心发展战略的途径。
“在我看来,这个校区始终未能真正站稳脚跟。”她说。
该校区还经历了资源逐步流失。这位前教授将这一过程形容为五六年间资源“一点点流失”:教职人员自然减员后不再补员,助教最终也因预算限制而遭裁撤。她还表示,校方考虑出售地产一事,事先并未告知教职员工与学生。
她在接受《财富》采访时表示:“整个过程毫无透明度。据我所知,教职员工、学生甚至都不知道校方在商议出售校区,更不知道买家是亚马逊。”
乔治·华盛顿大学未立即回应置评请求。
出售公告发布后,校方举办了多场公开座谈会,讨论项目及教职员工的迁移安置事宜。但斯卡利‑鲁斯认为,这种征询为时已晚。
“这就好比在问,你们真的在乎吗?”她说,“在作出这项决定之前,你们在乎过我的想法吗?当事情在推进时,你们有没有想过告知我们?”
斯卡利‑鲁斯表示,乔治·华盛顿大学的财务状况让这一决定更容易理解。该校长期承受多重压力:联邦科研经费缩减、国际学生相关政策变动,以及整个高等教育行业普遍面临的财务困境。校方称,出售校区是夯实财务实力、投资学术使命战略的举措之一。
但这位教授同时提出,这笔交易引出了一个更为根本的问题:在人工智能基础设施建设热潮之下,高校应当如何处置手中的土地。
她向《财富》杂志表示:“我们正不断蚕食高等教育资源,为这一技术的扩张腾出空间,整个过程既没有相应的问责机制,也缺乏审慎周全的推进规划,这一点令我深感忧虑。”
谈及高等教育及其对数据中心投资的长期影响,斯卡利 鲁斯并不看好。
她说:“我认为这不过是短期泡沫。只要出现技术飞跃,这些庞大而丑陋的建筑就会被淘汰。届时该怎么办?”
密歇根大学另辟蹊径
密歇根大学在伊普西兰蒂镇区的项目,是高校参与人工智能基建热潮的另一种方式。密歇根大学联合洛斯阿拉莫斯国家实验室(Los Alamos National Laboratory),计划斥资12.5亿美元打造科研计算中心,用于处理海量计算工作负载。校方表示,该设施将支持医学、材料科学、清洁能源、工程及国家安全等多个领域的科研工作。
校方在其官网上刻意回避“数据中心”这一说法,更倾向于称之为“计算中心”。但该项目仍遭到伊普西兰蒂当地居民的反对。校方表示,该中心将用于“开展人工智能与高性能计算相关应用研究”。
密歇根大学一直在为该项目收购土地。2024年,密歇根大学董事会批准收购伊普西兰蒂镇的两块土地,面积分别为19.82英亩(约合8公顷)和6.03英亩(约合2.4公顷),专门用于未来计算中心建设。2025年,校方又获批在纺织路(Textile Road)购置约124.7英亩(约合50.5公顷)土地,作为后续设施建设的储备用地。
尽管已收购大片土地,但校方仍刻意将本项目与商业数据中心区分开来。校方称其为“专业科研枢纽”而非商业设施,并表示该中心将专用于科研领域的高性能计算。
换言之,该中心的算力不会用于“云计算、流媒体、电商及其他面向消费者或企业的应用”,而是聚焦科学研究。然而,这类科研任务代价不菲:据校方报告,项目初期用电负荷约为50兆瓦,最终将达到100兆瓦。
尽管如此,伊普西兰蒂镇董事会仍一致通过决议,反对拟建的计算研究设施,决议称“予以坚决、明确反对”。
密歇根大学未立即回应《财富》杂志的置评请求。(财富中文网)
译者:中慧言-王芳
The AI boom is putting a new kind of pressure on American universities.
The topic of AI has long been a point of contention within higher education from educators, students, and university administrations discussing the presence and use cases of the technology. But now it’s turned to a much more physical threat.
As data centers compete for large parcels with access to electricity, water, and fiber infrastructure, universities are finding themselves sitting on property that can be worth more as AI infrastructure—not classrooms, laboratories or research space. The George Washington University’s sale of its Virginia campus to Amazon, for example, illustrates the encroachment of AI onto higher education’s doorstep. The University of Michigan, meanwhile, is pursuing a $1.25 billion high-performance computing and research center in Ypsilanti Township.
One former GW professor who worked at the university’s Virginia Science and Technology Campus said the sale was symptomatic of a broader shift in higher ed, where financial pressures are colliding with the enormous appetite for data center real estate.
“Universities are large landholders, and there is a land grab going on with the data centers these days,” former professor Ellen Scully-Russ told Fortune.
GW’s $427 million campus sale
In February, GW announced it had sold its roughly 120-acre Virginia Science and Technology Campus in Ashburn, Va. The university initially declined to identify the buyer or disclose the sale price, citing confidentiality provisions.
“It just came as a sudden announcement one day that they had sold the property, and that they couldn’t disclose the buyer because there was some kind of a confidentiality agreement,” Scully-Russ explained. “But of course, a student newspaper did their due diligence, and by the end of the day, they knew who it was, and they knew the price, and they communicated that to the community.”
The buyer was later identified as Amazon Data Services, which paid $427 million for the property. The campus sits in Loudoun County, at the center of Northern Virginia’s so-called “Data Center Alley,” one of the world’s largest concentrations of data centers.
GW said the sale was intended to strengthen its long-term financial position. Under the agreement, the university can continue using the property for up to five years while it determines how to move the programs and offices located there. The university also said a significant portion of the proceeds would be placed into a new endowment, while eligible faculty and staff would receive one-time bonus payments of $2,500 for benefits-eligible full-time faculty and part-time faculty receiving $1,250.
For Scully-Russ, however, the sale represented the end of a campus that had struggled for years to find a sustainable role within GW. The professor joined GW in 2009 to teach and lead a program at the Ashburn campus and said the facilities were newer and, in some respects, better equipped than those at GW’s Washington DC campus. But the university never fully figured out how to make the Ashburn campus a central part of its strategy, the professor told Fortune.
“It never really got any legs, in my opinion,” she said.
The campus had also experienced a gradual erosion of resources. The former professor described the process as “drip, drip, drip,” over five or six years, with faculty lost through attrition and not being replaced.Meanwhile, teaching assistants were eventually eliminated due to budget constraints. She even said faculty and students were not told in advance the university was considering selling the property.
“There was no transparency,” she told Fortune. “The faculty, the student body, as far as I know, were not even aware that there was a discussion about selling to anybody, let alone to Amazon.”
The George Washington University did not immediately respond to a request for comment.
The university ultimately held town halls after the sale was announced to discuss how programs, faculty, and staff would transition from the campus. But for Scully-Russ, that consultation came too late.
“It’s kind of like, do you really care?” she said. “Did you care what I thought before you made this decision? Did you care to let me know that this was in the works?”
GW’s financial circumstances made the decision easier to understand, Scully-Russ said. The university has faced pressure from declining federal research funding, changes affecting international students, and broader financial challenges facing higher education. GW itself has said the sale is part of a strategy to strengthen its finances and invest in its academic mission.
But the professor also says the transaction raises a more fundamental question about what universities should be doing with their land at a moment when AI infrastructure is booming.
“We’re chipping away at our higher ed resources to make room for this technology to expand without any accountability,” she told Fortune, “or any other kind of thoughtful progression, which is really a concern for me.”
In regards to the long-term impact of higher ed and its investment into data centers, Scully-Russ had little faith in the outlook.
“I think it’s just a short-term bubble,” she said. “We’re just one technological leap away from having those huge ugly buildings being obsolete. Then what happens?”
Michigan is taking a different route
The University of Michigan’s project in Ypsilanti Township is another way universities are participating in the AI infrastructure craze. UMichigan and Los Alamos National Laboratory are planning a $1.25 billion research computing center designed to handle enormous computational workloads. The university says the facility will support research ranging from medicine and materials science to clean energy, engineering, and national security.
For its part, the administration denies the term “data center” on its site, preferring “computing center.” This has not come without opposition from locals in Ypsilanti. The university outlines the use of the center for “applying AI and high-performance computing.”
The university has been acquiring land for this project. In 2024, U of M’s Board of Regents approved purchases of 19.82 acres and 6.03 acres in Ypsilanti Township specifically to support a future computing center. In 2025, the university also received authorization to purchase roughly 124.7 acres on Textile Road for the future facility.
While it has acquired acres of land, the university is careful to distinguish the project from a commercial data center. The administration calls it a “specialized research hub” rather than a commercial facility, saying it will be dedicated to high-performance computing for scientific research.
That means essentially, the computational power output of the center will not be used for “cloud computing, streaming, e-commerce and other consumer or business applications,” and will instead focus on scientific research. That research comes at a cost, however, starting at about 50 megawatts and eventually reaching 100 megawatts according to the university report.
However, the Ypsilanti Township Board of Trustees unanimously passed a resolution opposing the proposed computational research facility, “declaring strong and unequivocal opposition.”
The University of Michigan did not immediately respond to Fortune’s request for comment.