This article addresses the rapid transformation of corporate learning and development (L&D) from traditional training and credentialization toward what the author terms 'Dynamic Enablement' — delivering contextual, AI-powered support to employees in the flow of work. The author, Josh Bersin, argues that advances in AI have accelerated market convergence, causing traditional L&D platform categories (LMS, LXP, microlearning, employee experience platforms) to collapse into a unified enablement paradigm. As evidence, the article surveys approximately fifteen vendors — including Arist, Sana, Docebo, Degreed, Seismic, LinkedIn, Uplimit, Perceptyx, Disprz, Cornerstone, 360Learning, Axonify, Kahuna, IMMERSE, and Glean — mapping each to different enablement use cases ranging from frontline workers to sales teams and knowledge workers. The article concludes that organizations are entering a 'builder not buyer' era where enterprise AI enables custom, role-specific enablement experiences. Notably, the author discloses partnerships with Arist and references proprietary products (Galileo, Viven) developed by his own firm, creating a material conflict of interest that limits the neutrality of vendor assessments. Key insights: Traditional L&D platform categories — LMS, LXP, microlearning, and employee experience platforms — are converging into a single 'Dynamic Enablement' paradigm driven by AI capabilities. Enablement needs are highly role-specific: the appropriate solution for a frontline Uber driver differs substantially from that suited to a software engineer, middle manager, or sales representative. The employee engagement survey market (Gallup, Glint, Qualtrics, CultureAmp, Peakon, Perceptyx, and others) is identified as converging with L&D platforms, with survey data potentially informing real-time coaching interventions. Practical takeaways: Organizations evaluating L&D platforms are advised in the article to assess use-case specificity before committing to a single vendor, given the rapid and unstable pace of product development across the market. The article frames AI-native content generation as sufficiently accessible that organizations can now act as 'builders' of enablement experiences rather than purely 'buyers' of off-the-shelf content or platforms.