Temple is creating the vice provost for online and digital learning to lead a universitywide transformation in how we design, deliver and scale high-quality, flexible academic programs. This role is central to advancing our strategic plan, Forward with Purpose, particularly around expanding access, improving student success and increasing Temple's impact in Philadelphia and beyond.
Meta's AI-powered glasses are designed to enhance personal presence, allowing users to engage more fully with their surroundings while offering features that could assist those with vision impairments or hearing loss.
Unlike traditional AI systems that wait for prompts, agentic AI systems understand goals, make decisions, initiate actions, and continuously adapt based on outcomes. In Learning and Development (L&D), this marks a fundamental shift, from AI as a support tool to AI as an active learning partner.
This resource doesn't just brush the surface of every trend; it offers insights into how each trend impacts L&D teams and employees. For example, why managed learning services are becoming a strategic operating model and how this is changing the role of L&D leadership. It also takes a closer look at how the challenge is no longer about content delivery but about ensuring that you emotionally engage learners and design experiences that are relevant and foster real-world application.
Scaling learning should be a sign of success. More employees. More roles. More regions. More skills to build. On the surface, these are the markers of a growing, forward-moving organization. But for many Learning and Development (L&D) teams, scaling learning feels less like progress and more like pressure. Every new hire cohort, geographic expansion, or capability initiative introduces friction. What once worked well for a few hundred employees begins to strain-and eventually break-when applied to thousands.
In 2026, corporate learning is enjoying a structural reset. Distributed workforces, accelerated skill obsolescence, and AI-driven role shifts are forcing organizations to move beyond outdated static training models. Hence, the question for Chief Learning Officers (CLOs) is no longer whether to adopt hybrid learning and blended learning, but rather how to architect these increasingly essential learning platforms for performance, scale, and relevance.
