The resurgence of enterprise data centers is being driven by the growing demand for artificial intelligence (AI) capabilities, according to a recent report. These data centers, which house the computing resources needed for data processing and storage, were previously in a phase of consolidation. However, as businesses seek to handle the heavy computational needs of AI, they are now building more of them. This shift is opening up new opportunities in areas such as hardware, network infrastructure, and security, according to Ammar Maraqa, a senior vice president and director of strategy at Cisco. Maraqa explained that the need to manage AI workloads has changed how companies think about their infrastructure. More businesses are opting for on-site data centers to ensure security, reduce costs, and maintain control over their data. This trend is not limited to the largest companies or cloud service providers; many organizations are now developing their own data centers located within their own facilities to meet their specific needs. The increasing complexity of data centers has also led to a higher demand for specialized professionals. Skills in "deep tech" areas, such as hardware engineering, network design, and cybersecurity, are now in high demand. Modern data centers often include large server racks and powerful graphics processing units (GPUs), which require specialized knowledge to connect and manage effectively. According to Maraqa, there is a shortage of people with the expertise needed to handle these complex systems. Research by Cisco shows that AI agents can perform tasks with a workload four and a half times greater than that of a human. This highlights the need for modernized infrastructure, as many existing systems are outdated and unable to handle such demands. Outdated systems not only struggle with performance but also pose significant security risks, especially when dealing with AI models and data access. To address this, some companies are developing their own AI models to avoid overreliance on large, external models. The impact of AI is being viewed as fundamentally different from previous technological transitions, such as the rise of e-commerce, cloud computing, and mobile technology. Unlike past shifts, the opportunities presented by AI are seen as practically limitless in terms of how the technology can help and transform various industries. As a result, the focus on building and managing enterprise data centers is expected to continue growing in the coming years.