work life
AI Fatigue: When Productivity Tools Become One More Thing to Manage
By NorthBay biz staff
N ot long ago, artificial intelligence felt like a novelty. Today, it can summarize meetings, draft emails, generate reports and answer customer questions—often before employees have finished their first cup of coffee. As AI tools become increasingly embedded in the workplace, however, some workers are discovering an unexpected side effect: fatigue. The promise of artificial intelligence has always been straightforward. Automate repetitive tasks, streamline workflows and give employees more time to focus on meaningful work. Yet for many professionals, the reality has proven more complicated. Instead of replacing work, AI often adds a new layer of oversight and decision- making. The pressure to adopt these tools is growing. Several major companies have made AI integration a workplace expectation, with some executives describing AI proficiency as an essential skill for modern employees. According to a 2025 survey conducted by AI Resume Builder, 24% of companies reported requiring AI use across all roles. That enthusiasm, however, is not always shared equally throughout organizations. A January survey conducted by AI consulting firm Section found that while 74% of C-suite executives reported feeling excited about AI, 68% of individual contributors said they felt anxious or overwhelmed by the technology. The disconnect highlights a growing workplace challenge. While leaders often focus on AI's potential to increase efficiency, employees are frequently the ones tasked with learning new platforms, adapting workflows and determining when AI-generated content is accurate enough to trust. Researchers have even begun using a new term for the phenomenon: "AI brain fry." According to a recent study highlighted by Harvard Business Review, workers who frequently switched
between multiple AI tools reported higher levels of decision fatigue and made more mistakes. Researchers surveyed approximately 1,500 workers and found that nearly one in seven experienced mental fatigue associated with managing AI tools on the job. The issue isn't necessarily the technology itself. Rather, it's the growing expectation that workers constantly evaluate, verify and refine AI-generated output. An email drafted by AI still requires review. A meeting summary may need factchecking. A report generated in seconds often demands human oversight before it can be trusted. In some cases, employees report spending less time creating content and more time managing the technology that creates it. The trend reflects what some workplace experts describe as a productivity paradox. AI tools promise to reduce workloads, yet workers often find themselves navigating an expanding ecosystem of software, notifications and automated recommendations. The result can be a feeling that technology is simultaneously saving time and consuming it. For employers, the implications extend beyond employee satisfaction. The Harvard Business Review research found that workers experiencing AI-related fatigue reported more errors, slower decision-making and lower overall productivity. If organizations hope to realize the benefits of AI, they may need to pay closer attention to how these tools are being implemented and supported. That doesn't mean abandoning AI. Most experts agree the technology will continue to play a significant role in the future of work. Instead, the challenge may be finding the right balance between automation and human judgment. As artificial intelligence becomes increasingly common across industries, the most successful workplaces may not be the ones that adopt every new tool. They may be the ones that thoughtfully determine where AI genuinely adds value and where
employees are better served by relying on their own expertise. For workers already feeling overwhelmed by a rapidly changing technological landscape, that distinction could make all the difference.
Signs You May Be Experiencing AI Fatigue
• Feeling pressured to use AI even when it doesn't improve your work
• Constantly switching between multiple AI platforms
• Spending more time reviewing AI output than creating original work
• Feeling overwhelmed by new AI features and updates
• Struggling to determine when AI- generated information is accurate
• Experiencing decision fatigue after managing multiple digital tools
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