TALENT DEVELOPMENT, ORGANIZATIONAL LEARNING, AND THE FUTURE OF WORK

Enterprises cannot purchase durable adaptability simply by hiring qualified people or licensing new technology. Capabilities must be developed, transferred into work, combined across roles, retained despite turnover, and revised when circumstances change. This chapter examines the intellectual foundations and managerial practice of talent development, organizational learning, and work transformation through a critical secondary-source synthesis. Human-capital economics, the capability approach, adult and situated learning, organizational knowledge creation, absorptive capacity, and task-based technological change are compared with attention to their assumptions and unresolved tensions. Twelve sections develop competency specification, multi-level needs analysis, instructional design, learning transfer and causal evaluation, career and succession systems, knowledge management, digital and AI literacy, automation, distributed employment, African workforce transitions, and resilient enterprise learning. Current Rwandan business and labour statistics provide contextual constraints without being misread as enterprise-specific skills audits. Verified international experiments illustrate the potential and limitations of AI assistance and hybrid work. Original contributions comprise a capability-development loop, task-to-capability decision framework, competency matrix, training-evaluation protocol, and fully worked hypothetical Kigali SME investment case. The central argument is that the relevant outcome is not training volume or technology adoption but a defensible, distributively responsible improvement in the enterprise's capacity to perform, learn, and adapt. The proposed synthesis is analytical rather than an empirically validated causal model.