This article, authored by Josh Bersin, addresses the accelerating pace of AI infrastructure investment and its downstream implications for HR technology markets. The author's central argument is that unprecedented capital allocation — estimated at $750–800 billion from major technology firms in a single year — signals a structural shift in how enterprises will deploy AI, particularly within HR functions. Key evidence includes the OpenAI-Oracle $300 billion data center deal, Meta, Amazon, Microsoft, and Google commitments totalling over $450 billion, and a series of HR technology vendor announcements spanning acquisitions, product launches, and agentic AI deployments. The author draws a historical comparison, noting this investment represents approximately 2.5–3% of US GDP, exceeding the Manhattan Project's share of GDP. Implications drawn include a projected reduction in HR headcount ratios from 100:1 to 150–200:1, the emergence of 'Superworker' roles, and the rapid normalization of agentic AI across talent acquisition, learning and development, and employee experience functions. Key insights: AI infrastructure investment from major technology firms in a single year approaches 2.5–3% of US GDP, a scale the author compares to the Apollo Space Program and notes exceeds the Manhattan Project proportionally. Major HCM vendors — including Workday, SAP SuccessFactors, ServiceNow, and UKG — are accelerating AI integration through acquisitions and internal development, with distinct strategic focuses emerging across talent acquisition, workforce scheduling, and employee experience. The author projects the traditional HR-to-employee ratio of 100:1 could shift to 150–200:1 as agentic AI absorbs transactional HR workloads, repositioning HR professionals as higher-order contributors described as 'Superworkers'. Practical takeaways: Organizations can observe that major HCM platform providers are embedding agentic AI into core workflows — including scheduling, payroll reconciliation, recruiting, and skills inference — which signals a shift in the feature baseline expected from enterprise HR systems. The convergence of AI capability across incumbent HCM vendors and specialist point solutions creates a governance and vendor evaluation challenge that the article identifies as requiring structured AI transformation process disciplines, including job redesign and task analysis.