LinkedIn is going to assist the users in fighting the challenges of the generative AI by introducing new ways to promote the best internal career advancement and seek a new role in the organization they are already working for.

The company is launching "Next Role Explorer," which will recommend the next role an employee can take up inside the company based on his or her professional objective. Here is how LinkedIn itself has explained it:

"Let's say an employee is a data analyst, but wants to move to some other domain within the company. We will give recommendations on new roles that may interest him/her, and then offer him/her a personalized curriculum of content to get started on learning hard and soft skills relevant to the job. Or if someone wants to move ahead within their current role, we can help by recommending skills required to be able to advance to the next stage."

This is an important area where LinkedIn can really bring some career value because it is the only place that offers visibility to a complete track of career progressions and thus the only app that can show how different people have evolved through time in changing roles.

LinkedIn has been working for years on variations of this but has never seemed to get it right, at least on a broader scale.

Back in 2014, journalist Kurt Wagner wrote about how LinkedIn revealed to him his probable career path based on other people with similar backgrounds in the app. Not entirely accurate, it was an interesting experiment meant to show how LinkedIn can exploit its troves of career data in making people understand better their potential career paths.

Another, LinkedIn has tried to provide collegians with a sense of where their careers will evolve to by introducing its "LinkedIn University Finder" feature, which it discontinued several years ago.

I suspect that neither of these activations were anything like on target for most, and therefore they didn't sustain beyond a few cycles, but perhaps this more limited version of the same, using far more precise intelligence among peers, will be much more directly relevant.
But, of course, those are not necessarily representative results if random people have tagged themselves as employees of your company. For example, Social Media Today has over 460 employees listed on LinkedIn. Which is, um, not close to accurate, but we cannot remove them as employees because LinkedIn does not offer this functionality.

Wouldn't that prevent that information from being very accurate?.

Another new feature LinkedIn is launching is a way for employees to indicate interest in internal roles; this will allow them to be notified whenever new internal jobs become open, and they will get direction from LinkedIn Learning on what skills they would need in their target role.
Based on generative AI, many are currently looking towards career change and project the impact that these tools will have on future markets that emerge, it is the new options that may very well add to help expand opportunities while keeping smart people inside organizations.
LinkedIn's also stepping up, making 250 generative AI-based courses available for free till April 5th, another way of helping people evolve their career.

"Topics range from GAI-literacy building to making business investment decisions with GAI-powered tools."

It is hard to predict the full extent to which AI instruments will disrupt, but many are reassessing future options and opportunities and starting to look around.

These new tools will guide better in this regard.