I've just tried LinkedIn Premium (the free month they recurringly suggest every year). It was the occasion to see how they integrated AI tools within the main product.
Overall, this illustrates one of the key points when I discuss with clients about AI integration: if the fundamentals are not there, then the AI won't be able to amplify much the value of the product, feature, or flow.
1st example: I go to jobs and I have a list of suggested jobs. Some look indeed spot-on, others are just completely off-topic (such as the one in this example).
What I was hoping for when it comes to AI integration is that before adding the features: "adapt my resume," "am I a good fit," etc., we should ensure that they are all relevant and sorted (from “I can apply plug and play” to “need to revise my resume”).
2nd example: for almost each contribution, I am offered to "explore" more; that is, the topic introduced in the post is explained in length as a chat. I would say, not bad... but actually, instead of more information, which my feed is already quite saturated with to be honest, what I would like instead is a wrap-up.
It feels like LinkedIn didn't crack this part yet, but that's really what I require more and more (especially with this GenAI area, where content saturation will be the norm).
Last example: "rewrite your profile" with AI. I was confused by most suggestions... we are talking about something really important, especially since the hope to be in this network is to make business relationships. If you are not careful, people might be really confused with what you let AI write on your behalf (this is true for all GenAI in general, but I was surprised with LinkedIn's below-expectation results).
More importantly, I want to have insights such as what are the chances to be more exposed if I rewrite my profile this way...
Let's be clear, LinkedIn is trying, and deploying those tools to potentially millions of users in a seamless way requires time, iteration, trial, and error. This illustrates that change management with GenAI is in the top 3 of the to-do list, along with the use cases (number 1) and the benefits (number 2).