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Artificial intelligence is becoming a central decision-making tool in U.S. workplaces, according to a new survey by ResumeBuilder. Technologies like large language models (LLMs), including tools similar to ChatGPT, are now influencing high-stakes personnel decisions such as promotions, raises, and even terminations.
While AI tools have been part of recruitment processes for years—screening resumes and scoring candidates—this new data points to a deeper level of reliance, where AI-generated recommendations can directly affect an employee’s career trajectory.
The findings, based on a survey of over 1,300 human resources managers, reveal that the majority of respondents have turned to AI systems to guide decisions that were once considered strictly human territory. Specifically, 66% of managers reported using AI when considering layoffs, while 78% used it to determine salary increases, and 77% relied on it to assess promotion eligibility.
In a significant development, over 20% of managers admitted to allowing AI systems to make final decisions without human oversight. Though most claim they would override an AI decision if they disagreed with it, the trend suggests a growing trust in algorithmic outputs—even in matters requiring human judgment.
One concerning aspect highlighted by the survey is the lack of formal training: only about one-third of managers using AI tools for personnel management had structured training in how to apply these systems responsibly. This raises questions about accountability, bias, and the potential for flawed decision-making.
Experts warn that while AI can support efficiency and provide insights, it lacks human context and ethical nuance. Without safeguards, AI tools may perpetuate biases present in training data or simply reinforce the personal assumptions of their users.
The growing integration of AI into workplace management underscores the need for clearer governance, ethical guidelines, and transparency. As more organizations turn to machine learning to shape internal decisions, ensuring that these tools are used wisely—and not blindly—is becoming an urgent priority.
