LinkedIn is expanding its use of generative AI to help users create compelling copy for their posts. The feature, which was unveiled by Keren Baruch, director of product at LinkedIn, aims to simplify the process of crafting engaging posts on the platform. Users will need to provide the AI with a minimum of 30 words outlining the content they want to convey. The AI will then generate a first draft, which users can review and edit before posting. The feature is currently in the testing phase and will be rolled out to all users in due course.
Critics argue that this new feature takes away the authenticity of LinkedIn posts and could result in interactions between chatbots rather than humans. However, it is worth noting that users already have the option to use external AI chatbots to assist in creating posts, so the authenticity of posts on the platform may already be questionable.
LinkedIn’s use of generative AI is not entirely new, as the platform has previously employed AI-generated copy suggestions for ads. This latest feature aims to extend the benefits of AI-generated content to all users, making it easier and more efficient to share career updates and achievements with their network.
While the feature is still being tested, a GIF shared in the post demonstrates how seamless the process of going from an idea to a fully crafted post will be. Users will be able to save time and effort by leveraging the AI’s capabilities to generate a first draft, which they can then refine and personalize.
The introduction of AI-generated copy on LinkedIn raises questions about the future of content creation and the role of AI in the workplace. As AI technology continues to advance, it has the potential to automate a significant portion of the average workday. However, there are concerns about the impact this could have on job security and the need for human creativity and authenticity in content creation.
Ultimately, the use of generative AI on LinkedIn is intended to enhance the user experience and streamline the process of creating engaging posts. By leveraging AI technology, users can save time and focus on other aspects of their professional lives. As the feature moves out of the testing phase and becomes available to all users, it will be interesting to see how it is received and whether it becomes a valuable tool for professionals on the platform.
In conclusion, LinkedIn’s expansion of generative AI for copy suggestions aims to simplify the process of creating engaging posts on the platform. While there are concerns about the impact on authenticity and human interaction, it is worth noting that users already have the option to use external AI chatbots for post creation. As AI technology continues to evolve, it will be crucial to strike a balance between automation and human creativity in content creation.
