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AI-generated “workslop” is destroying productivity?
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and collaboration issues. Leaders need to consider how they may be encouraging indiscriminate organizational mandates and offering too little guidance on quality standards. To counteract workslop, leaders should model purposeful AI use, establish clear norms, and encourage a “pilot mindset” that combines high agency with optimism—promoting AI as a collaborative tool, not a shortcut.
Yet a recent report from the MIT Media Lab found that 95% of organizations see no measurable return on their investment in these technologies. Her research explores the role of AI in workplace adoption, human development, and interpersonal communication. Her work focuses on psychological mechanisms that shape how social technologies influence our health, well-being, and development.
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