Khan TED Institute (KTI) is aiming to launch an “AI-first” competency-based bachelor’s degree in applied artificial intelligence, pricing the program at $10,000 and shaping coursework with input from major employer thought partners including Google, Microsoft, and Accenture. The new institute, built from three nonprofits—Khan Academy, TED, and ETS—signals a direct attempt to compete with traditional colleges on how credentials are taught and assessed as AI changes jobs. At the same time, Golden Gate University is restructuring its curriculum around AI fluency. The university’s announcements include a School of Psychology focused on AI’s effect on human behavior, an AI-assisted upgrade to its digital learning platform, and a shift in general education toward an AI-centered core focused on reasoning, writing with AI, and building agentic workflows. Separately, Golden Gate’s approach highlights another real-time shift: course design is moving toward AI-assisted guidance and personalized assessments embedded in coursework rather than traditional one-size-fits-all evaluation, reflecting an emerging pattern that credentialing and teaching models are converging with agentic AI tools. Taken together, the KTI and Golden Gate moves show higher education experimenting with both new institutional models (outside conventional brick-and-mortar structures) and new instructional architectures (AI-centered cores and assessment redesign).