This paper examines how automation technologies—robotic process automation (RPA), intelligent automation (IA), and hyperautomation—are reshaping business operations. First, it defines each approach and summarizes where it works best: RPA for high-volume, rules-based tasks; IA for variable inputs and recommendations; and hyperautomation for orchestrating tools across end-to-end workflows. Next, drawing on academic studies and recent industry evidence, the paper reviews adoption patterns and the conditions under which cost, quality, and speed gains actually occur. The analysis shows that returns depend less on tool choice than on process redesign, data quality, and program discipline. It also highlights workforce effects: automation tends to reallocate tasks rather than eliminate entire jobs, increasing the need for reskilling and thoughtful role design. Finally, the paper outlines practical steps for responsible scale—candidate selection, simplification before automation, human-in-the-loop safeguards, and lightweight governance—to convert pilots into durable results. The overall conclusion is simple: automation can deliver lasting value when paired with redesign and reskilling under clear governance; treated as a plug-and-play fix, it produces fragile solutions and mixed outcomes.

Letian Wang. The Role of Automation Technologies in Business. Academic Journal of Business & Management (2026), Vol. 8, Issue 1: 54-58. https://doi.org/10.25236/AJBM.2026.080108.

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