Generative artificial intelligence (GenAI) technology is developing rapidly, but its application faces challenges. Although many companies have conducted large-scale GenAI training and invested in a large number of pilot projects, analysts predict that most projects will not be commercially available in 2024. This article will explore the reasons behind this phenomenon and the difficulties faced by enterprises in the application of GenAI.
According to analysts, it is expected that the generative AI pilot projects currently running by most IT vendors will not be ready for production by 2024. Companies such as Indian IT company Infosys and global IT giant Accenture have already conducted large-scale GenAI training. Financial institutions note that in 2024, spending on generative AI will be sluggish in the pilot phase. As customers experience pilot fatigue, their interest is shifting from “where GenAI can contribute” to “where GenAI can help.”
It can be seen from analysts’ predictions and reports from financial institutions that there are currently bottlenecks in the application of generative artificial intelligence. Enterprises need to re-examine the application direction of GenAI and shift from focusing on its potential capabilities to looking for its actual application scenarios, in order to avoid the dilemma of pilot projects ultimately failing to be put into production and realize the true value of GenAI technology. Future GenAI applications need to pay more attention to practical benefits and user experience.