诺基亚首席执行官在接受CNBC采访时表示，如果没有面临的供应限制，科技行业建设数据中心的速度将会快一倍，这凸显出尽管高管们对放慢开发步伐展开了辩论，但对人工智能的需求依然持续。
The tech industry would build data centers twice as fast without the supply constraints they face, the CEO of Nokia told CNBC, underscoring continued demand for AI even as top executives debate slowing down the pace of development.
贾斯汀·霍塔德（Justin Hotard）在CNBC的《科技下载》（The Tech Download）播客节目中表示：“我认为在任何情况下都不能说我们今天过度建设了，因为现实情况是，如果我们能以两倍的速度建设，我们的客户也能以两倍的速度建设，他们很可能会这么做。”
"I don't think you can say in any manner we're overbuilding today because reality is that if we could build 2x faster, our customers could build 2x faster, they probably would," Justin Hotard told CNBC's "The Tech Download" podcast.
霍塔德补充说：“这让我确信，我们仍处于人工智能基建的早期阶段。”关键存储芯片和能源的短缺是该行业面临的供应限制之一。
"So that gives me confidence that we're still in the early days" of the AI buildout, Hotard added. Shortages of key memory chips and energy are among the supply constraints facing the sector.
诺基亚是全球最大的电信设备制造商之一，现已转型为人工智能基础设施领域的关键参与者。该公司销售连接数据中心内部芯片机架所需的技术，以及互连不同地点数据中心的技术。
Nokia, one of the world's biggest telecommunications equipment makers, has pivoted to become a key player within the AI infrastructure space. It sells the technology required to connect racks of chips within data centers as well as technology that interconnects data centers across different locations.
诺基亚在人工智能热潮中作为“卖铲人”的角色日益凸显，这似乎赢得了投资者的青睐，其股价在过去一年里上涨了约130%。
Nokia's growing role as a "picks and shovels" player in the AI boom appears to have won over investors, with the stock up around 130% over the past year.
但关于该行业建设数据中心的速度是否过快以及需求是否足以支撑这一速度，一直存在争论。
But there's been continued debate over whether the industry is building data centers too fast and whether demand will be there to sustain it.
根据布鲁金斯经济活动报告（Brookings Papers on Economic Activity）上发表的研究显示，从2025年到2032年，从数据中心到芯片及相关基础设施的人工智能基建投资总额将达到10.3万亿美元——平均每年占美国国内生产总值的3.63%。
Investments in the AI buildout from data centers to chips and related infrastructure will total $10.3 trillion from 2025 to 2032 — an average of 3.63% of U.S. gross domestic product per year, according to research presented at the Brookings Papers on Economic Activity.
企业正在利用债务、合资企业和其他复杂的融资机制来为这些项目筹集资金，这些项目依赖于长期以来对人工智能服务的持续需求。
Companies are using debt, joint ventures and other complex financing mechanisms to raise investment for these projects, which depend on sustained demand for AI services over the long term.
一位Anthropic研究人员对该技术的生存威胁发出警告，引发了安全担忧，加剧了对人工智能建设步伐的担忧，这促使该公司首席执行官达里奥·阿莫迪呼吁放慢最先进型号的开发。这引发了上个月人工智能相关股票的下意识抛售。
Concerns about the pace of the AI buildout were exacerbated by safety worries sparked by an Anthropic researcher's warnings on the existential threat of the technology, which prompted the company's CEO Dario Amodei to call for a slowdown in the development of the most advanced models. That sparked a knee-jerk sell off in AI-related stocks last month.
霍塔德表示，对人工智能的需求不仅仅取决于Anthropic和OpenAI等前沿实验室发布新模型。
Hotard said that demand for AI is not just predicated on frontier labs like Anthropic and OpenAI releasing new models.
“我认为现实是，我们今天的处境还处于部署初期，而且这些模型的力量如此巨大，以至于仅仅部署就有很多需求需要运行，”霍塔尔说。
"I think the reality is that we're even where we are today is so early in the deployment, and the power of these models is so massive that there's a lot of there's a lot of demand to run in just deploying," Hotard said.
“即使我们在未来三年内没有发布另一个前沿模型，我们也可能在部署今天的技术方面取得巨大进展。"
"Even if we didn't have another frontier model released in the next three years, we could probably make tremendous progress just deploying the technology that's there today."