"By 2026, university learning will no longer be judged by how many courses were taken or credits earned by the student, but by how effectively it scales job-ready skills. From where I sit-designing and managing EdTech platforms for noncredit online education, executive education (ExEd), and business-to-institution (B2I) learning-the economics of university learning are being fundamentally rewritten. The catalyst is clear. AI is reshaping the job market faster than traditional degree cycles can respond."
"Corporate learning has already adapted, moving aggressively toward personalized, skills-based, and outcomes-driven learning. Universities and colleges are now following, not by reinventing everything internally, but by embedding industry-relevant eLearning ecosystems directly into academic curricula. This shift represents a new economic model for higher education-one that prioritizes skills velocity over content volume. Why The Old University Learning Model Is Breaking Historically, university eLearning investments focused on digitization: Learning Management Systems (LMSs), recorded lectures, and online course replicas."
AI is accelerating job-market change faster than traditional degree cycles, shifting evaluation of university learning from credits to measurable job-ready skills. Corporate learning has moved to personalized, skills-based, outcomes-driven capability building, and universities are adopting similar economics through B2I and private cohort models. Historical eLearning investments emphasized digitization and access rather than employability, leaving curricula slow to match workplace skill demands. The emerging model embeds industry-relevant eLearning into academic programs, prioritizes skills velocity over content volume, and emphasizes applied skills in analytics, AI-augmented decision-making, digital strategy, and modern operating models.
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