The secret to avoiding 'AI slop' — let workers 'job craft' their own roles around AI tools, researchers say

A new study from Multiverse, an AI skills platform, reveals an effective strategy to combat 'AI slop'—the low-quality output often associated with generative AI. Researchers suggest that allowing employees to take charge of their roles and creatively integrate AI tools into their tasks can significantly boost engagement and output quality. Conducted over two months, the study surveyed 295 full-time professionals across various sectors in the UK, all of whom had experience using generative AI for at least six months. The findings indicate that those who actively reshape their job responsibilities around AI are much more engaged than their counterparts who use the technology passively. Barry Goulding, an organizational psychologist at Multiverse, explains that job crafting involves reevaluating and adjusting one's role to better meet the demands of the tasks at hand. This shift in mindset—transitioning from a rigid definition of one’s job to a more flexible approach—encourages employees to improve their work processes actively. The study highlights that 'AI slop' is primarily a symptom of employee disengagement rather than a limitation of the technology itself. Goulding notes that merely copying and pasting AI-generated reports without any critical engagement does not reflect a high level of employee involvement. In contrast, those who embrace job crafting take the time to scrutinize AI outputs, correct errors, and ensure the final deliverables are of superior quality. Interestingly, the research contradicts the prevailing belief that AI diminishes cognitive engagement. While some studies have suggested that AI reduces deep thinking, Multiverse's findings indicate that intentional use of AI can enhance focus and commitment. Goulding states, "When employees engage with AI purposefully and adapt their roles accordingly, their overall engagement and productivity rise." To fully leverage these benefits, companies must go beyond merely providing access to AI tools; they need to implement comprehensive training programs that equip employees to use these technologies effectively. Goulding emphasizes that leadership plays a vital role in fostering an environment where employees feel empowered to experiment and innovate. A successful example comes from the consulting firm Capita, where an employee trained in AI developed an 'Ask Me Anything' assistant that has effectively managed over 70,000 inquiries. This initiative illustrates the potential of a strategic approach to AI adoption. Instead of focusing solely on quantifying job crafting behaviors, Goulding encourages leaders to measure the outcomes, such as productivity enhancements and improved employee engagement metrics. He believes that as employees learn to utilize AI effectively, they naturally cultivate curiosity and collaboration, essential traits for success in the AI-driven workplace. In summary, the future of work is set to be transformed by AI, and those who proactively embrace job crafting will not only excel individually but will also contribute to a more innovative and productive organizational culture.