Title:
A Comprehensive Framework for Future-ready AI Competencies: Integrating Prompt Engineering, Automation, and Multimodal Intelligence for the Workforce of 2025

Authors:
Farjana Nawrin, Md. Kawsar Ahammed, Antura Akter, Farhad Akter, Ayesha Arobee, Sani Mohammed Adam, Bangladesh

Abstract:

As artificial intelligence (AI) rapidly transforms industries, the demand for adaptive, interdisciplinary, and automation-driven skillsets continues to grow. This research develops a comprehensive framework of 12 core AI competencies essential for the workforce of 2025, encompassing Prompt Engineering, AI Workflow Automation, AI Agents, Retrieval-Augmented Generation (RAG), Multimodal AI, Fine-Tuning and AI Assistants, Voice AI and Avatars, AI Tool Stacking, AI Video Generation, SaaS Development, LLM Management, and Continuous AI Literacy. Drawing on contemporary AI advancements and emerging industry practices, the study explores how these competencies interconnect to enhance productivity, creativity, and innovation across sectors. Through a mixed-methods approach, combining literature synthesis, expert interviews, and technology mapping, the paper proposes a structured model that links each competency to specific workforce applications, tool ecosystems, and learning pathways. The framework aims to guide educators, policymakers, and organizations in designing AI-driven training programs, fostering sustainable human–machine collaboration, and bridging the skill gap in the digital economy. Ultimately, this research positions the 12 AI skills as not merely technical proficiencies but as strategic capabilities shaping the next generation of intelligent, agile, and future-ready professionals.

DOI: http://dx.doi.org/10.51505/ijaemr.2025.1509