OpenAI announced three new Academy courses designed to help workers develop practical AI skills and build repeatable workflows using AI agents. The educational initiative reflects OpenAI's strategy to embed its technology deeper into everyday enterprise operations by training employees at scale. This mirrors successful customer deployments like BBVA's rollout of ChatGPT Enterprise to 100,000 banking employees, signaling that OpenAI sees workforce enablement as critical to AI adoption. The courses focus on applied use cases rather than theoretical knowledge, addressing the immediate skill gap enterprises face when deploying AI agents across operations.
To support enterprise AI agents that require persistent computing environments, OpenAI announced plans to acquire Ona, a startup specializing in secure, cloud-based development infrastructure. The acquisition expands Codex capabilities and enables long-running AI agents to operate across complex enterprise workflows without interruption. This infrastructure play is strategic—agents that must maintain state and execute over extended periods require more sophisticated hosting than OpenAI's existing API can provide. The move positions OpenAI to compete more directly with cloud platforms while keeping agent workloads within its ecosystem.
Separately, OpenAI endorsed the EU Code of Practice on AI content transparency, backing provenance standards and tools that help users identify AI-generated content. This regulatory alignment matters as European governments increasingly scrutinize AI systems, and OpenAI's support signals confidence in transparency-first approaches. Together, these three moves—education, infrastructure acquisition, and regulatory cooperation—demonstrate OpenAI's shift from standalone model provider to comprehensive enterprise AI platform, addressing concerns about skills, infrastructure, and accountability simultaneously.