"For decades, ADDIE-analyze, design, develop, implement, evaluate-has been the backbone of Instructional Design. It gave learning teams a shared language, structure, and discipline. It ensured quality, compliance, and consistency. For many in L&D, it was the model that defined professionalism in our field. But the corporate landscape around us has changed. The pace of transformation has accelerated, driven by technology, new work models, and most recently, Artificial Intelligence (AI)."
"Skills now expire faster than ever: the World Economic Forum predicts that 44% of workers' skills will be disrupted by 2027. McKinsey adds that half of employees will need reskilling within the next three years. Meanwhile, business leaders expect L&D to move from content creation to capability enablement-from delivering courses to driving measurable performance outcomes. The traditional ADDIE model wasn't built for this reality."
"Its sequential, project-based nature often slows down responsiveness. Its outputs-courses, modules, learning paths-don't always connect directly to business data. And its evaluation phase often comes too late to inform improvement. The truth is, ADDIE as we know it isn't broken, but it is outdated. In the post-AI era, we need to evolve it into something faster, smarter, and more data-driven. Let's call this evolution ADDIE+."
ADDIE (analyze, design, develop, implement, evaluate) provided structure, quality, and shared language for instructional design. Corporate change accelerated by technology, hybrid work, and AI is shortening skill lifecycles and increasing reskilling needs. Business leaders now expect L&D to enable capabilities and measurable performance rather than simply produce courses. Traditional ADDIE's sequential, project-based approach slows responsiveness, disconnects outputs from business data, and delays evaluation-driven improvements. ADDIE requires evolution into a faster, smarter, data-driven model—ADDIE+—that leverages AI and real-time performance data to detect skill gaps, iterate learning rapidly, and align learning outcomes with business metrics.
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