Capacity planning in AI program governance focuses on ensuring what?

• A. Reducing hardware purchases
• B. Training only on algorithms
• C. Marketing capacity
• D. Adequate staffing and resources to support AI initiatives

Answer: (D)

Capacities planning in AI program governance centers on ensuring there are enough people, technology, data, and budget to support AI initiatives. It means looking ahead at how much workload the AI projects will generate—from data engineering and model development to training, deployment, monitoring, and governance—and provisioning the right mix of talent, compute power, data access, tooling, and funding to meet that demand. When capacity is planned well, projects stay on schedule, governance controls can be applied effectively, and the programs can scale as needs grow while managing risk. While cost considerations and other factors matter, the core idea is having adequate staffing and resources to actually execute and sustain AI efforts.