Cleaning up "AI workslop" is costing businesses hundreds of hours a week (www.techradar.com)

A recent study by Zapier reveals that while 92% of workers believe AI tools enhance productivity, only 2% find AI-generated content free from the need for revisions. Workers are consuming significant time—over three hours weekly on average—cleaning up "AI workslop," a term that underscores the inaccuracies and context-related issues often lurking beneath seemingly polished AI outputs. Areas such as data analysis, research, and long-form reporting show that the anticipated productivity benefits may be overshadowed by the need for extensive post-processing. This situation highlights a crucial need for improved AI models and better training for employees. The report suggests making AI training compulsory, particularly for high-risk roles, and establishing standard processes to manage AI outputs effectively. Companies thriving with AI have invested in training and context-driven tools to transform these technologies from sloppy experiments into refined processes. By focusing on bolstering infrastructure instead of reducing tool usage, organizations can maximize AI's potential while mitigating the current inefficiencies that arise from its unreliable outputs.