Recently, companies that quickly integrated generative AI have encountered a significant gap in training, leading to increased ‘workslop.’ This term describes scenarios where low-quality AI outputs burden colleagues and managers with more work. Insufficient understanding of prompt engineering, natural language processing, and machine learning among employees exacerbates this issue. To resolve it, businesses are seeking professionals who can effectively handle AI tools, create high-quality outputs, and accurately identify areas needing revisions. According to economist Tung Liu from Upwork Research Institute, this trend indicates that companies are increasingly recognizing AI as a tool to enhance and streamline core operations rather than a substitute for human workers.
As organizations transition, there is a heightened demand for generative AI skills, with the following key areas identified: Python for its versatility in AI and machine learning, video editing to refine AI-generated visuals, graphic design to quickly rectify AI images, and ChatGPT for various business applications. Other critical skills include AI video generation, machine learning, virtual support, content writing, data entry, and proficiency in Adobe Illustrator. Despite advances in AI, human oversight remains crucial to ensure quality and creativity in AI outputs, highlighting a need for skilled professionals in managing these technologies effectively.
👉 Pročitaj original: CIO Magazine
