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OpenAI just launched Frontier, a new platform built to turn AI from isolated pilots into full-fledged AI coworkers that live inside a company. This video breaks down what Frontier actually does, why it matters, and how it helps organizations close the gap between powerful models and real business impact. Startling stat to set the stage: 75% of enterprise workers say AI has helped them do things they literally could not do before, yet adoption is still fragmented. Frontier aims to change that by treating AI agents like employees, not just tools. What you’ll get in this short explainer A clear summary of Frontier’s core idea, the AI coworker, and why it reframes onboarding for agents. The four-step onboarding flow: understand the work by plugging into business systems, plan and act with secure tools, improve through feedback, and enforce permissions and guardrails. Real-world proof from early adopters like HP, Intuit, Oracle, State Farm, Uber, Cisco, and T-Mobile, plus a direct quote from State Farm executive Joe Park on pairing Frontier with people to accelerate capabilities. A concrete case study where an AI coworker cut debugging time from four hours to a few minutes, saving thousands of engineering hours. Why this matters for builders, businesses, and creators Frontier is not just another model release, it is an attempt to operationalize AI across entire organizations so agents can collaborate with human teams and access context from CRMs and other systems. That means faster problem solving, fewer manual bottlenecks, and the potential to scale capabilities across departments rather than locking them into experiments. What to watch for next The big question now is speed of adoption. The technology to reshape work is here, the challenge is how fast organizations will integrate AI coworkers into real workflows and governance. This video was auto-generated with AutoContent API, our system for creating high-scale, on-brand news explainers and demos. Want