The rapid ascent of artificial intelligence (i.e. AI) technologies—spanning large language models (i.e. LLMs), no-code platforms, AI agents, automation tools, and Web3 integration—presents both opportunities and challenges for business leaders navigating a volatile, uncertain, complex, and ambiguous (i.e. VUCA) landscape. This article, grounded in the Vanguard Leadership framework (i.e. VLF), evaluates the strategic potential of AI tools to augment organizational performance. It provides a comparative analysis of LLMs, focusing on open-source versus closed-source models, privacy implications, and local hosting for data security. We explore no-code tools, Retrieval-Augmented Generation (i.e. RAG), AI agents, automation platforms, Web3 synergies, and cybersecurity threats, illustrating their applications through practical use cases like document interaction, coding, and back-office optimization. By synthesizing vendor data, industry trends, and academic insights, we propose a model for leaders to deploy AI as a force multiplier, aligning with VLF’s adaptive principles. The article concludes with a call to action for leaders to master frontier technologies, ensuring competitiveness in an AI-driven future.
Cite this work
Režun, D. T. (2025). AI as a Force Multiplier: Leaders for Industry 5.0. talirezun.com. https://talirezun.com/library/ai-force-multiplier-industry-5
@misc{ai-force-multiplier-industry-5,
author = {Dr. Tali Režun},
title = {AI as a Force Multiplier: Leaders for Industry 5.0},
year = {2025},
url = {https://talirezun.com/library/ai-force-multiplier-industry-5},
note = {talirezun.com}
}
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