Businesses are increasingly turning to generative AI tools like Chat and to help them boost productivity and efficiency. These tools have the capability to generate content and answers based on text prompts. For instance, Zurich, an insurer, is leveraging a customized version of Chat to simplify long claims documents while Mattel, a toymaker, is creating new playthings using -, a tool that creates images from text prompts. Despite testing and experimentation with this technology, most companies remain undecided about how best to utilise it.
A recent study by Open, the maker behind Chat and -, examined how many search tasks could be expedited by generative AI. Jobs that entail significant quantities of routine writing, computing or programming were at the top of the list – such as paralegals, financial analysts and web designers. Therefore, it is unlikely that companies will eliminate such roles in the near future. Rather than replacing them, most companies will use software to help accelerate processes and ‘co-pilot’ staff.
Google, Microsoft and various other companies are vying to create tools that boost the productivity of desk jockeys. Startups such as Harvey, a legal assistant, and Jasper, a writing aid, have also come onto the scene. Yet, companies must take into account certain challenges when implementing generative AI, such as retraining existing staff, data glitches and the ability to trust results. Similarly, the use of ethical concerns, especially the effects of its integration have caused the European Union to consider a new bill on its application.
Overall, businesses are cautiously engaging with the possibilities of generative AI. These questions are likely to remain for some time yet, but the potential for increased productivity is certainly an attractive prospect for many organisations.
