How is the evolution of generative AI impacting various professions, and what must you be considering to maximise your individual skills within the evolving AI field?
These are a few of the elements that LinkedIn’s trying to dig into with its recent “AI at Work” report, which looks at key AI trends, based on LinkedIn data, to pinpoint key shifts.
You may download the total 30-page report here, which LinkedIn says is the primary in what might be a quarterly series, but on this post, we’ll take a have a look at a few of the key notes.
First off, LinkedIn provides a general overview of the most recent workforce shifts because of this of AI development.
As per the report:
“Not only are job postings increasing, but we’re seeing more LinkedIn members across the globe adding AI skills to their profiles than ever before. We’ve seen a 21x increase within the share of world English-language job postings that mention recent AI technologies akin to GPT or ChatGPT since November 2022. In June 2023, the variety of AI-skilled members was 9x larger than in January 2016, globally.”
The report also says that 47% of US executives imagine that using generative AI will increase productivity. Which is a scary concept in some ways, in that it likely points to businesses searching for to make use of AI tools to scale back their reliance on human labor. But at the identical time, generative AI tools are mostly assistive, and so they require direct human input to maximise their value, and ensure accuracy.
So you most likely won’t be losing your job to AI just yet.
But nonetheless…
As you possibly can see on this overview, only a fraction of US executives plan to chop roles because of this of broader AI adoption, though most also don’t exactly know what the total implications of AI might be for his or her organization as yet. It’ll take time for this to develop, as people find recent ways to implement these tools, and because the tools themselves proceed to advance, but these stats reflect the present state, where such processes will help to extend efficiency, but aren’t complete alternatives as such.
The report also looks at where AI skills are on the rise, based on LinkedIn profile updates, in addition to the industries which can be seeing more AI adaptation.

The report also looks at the highest roles more likely to be impacted by the expanded adoption of generative AI (GAI), and the way it will probably assist in each.

Again, the report underlines that generative AI tools usually are not able to interchange these roles wholesale, but they may provide assistance, in a spread of how, which could make professionals in these positions more efficient.
It’s an interesting overview of the state of AI adoption, based on how individuals are listing such skills on their LinkedIn profile, which points to recent opportunities for learning and development, in a spread of fields.
It might be price staying in contact with these shifts, and considering how these findings relate to your day-to-day approach.
You may download LinkedIn’s full “Way forward for Work Report: AI at Work” report here.