Is AI shaping the future of work?

In the last 6 months, the public’s mind has been occupied by the perception of AI as an over-hyped technology that will change the world. This was empowered by the launch of ChatGPT by Open AI at the end of 2022, recognised as the fastest-growing app in history, reaching 100 million users after just 2 months.

In the workplace, we are just starting to see the impact that AI, and the technologies getting built with AI, are going to have. It has the potential to change the dynamic of our workplaces, and many see this as a new era of efficiency and productivity.

LinkedIn’s latest report identifies growing AI skills and roles influenced by generative AI, stressing its augmentative role. For instance, 47% of US executives believe that using generative AI will increase productivity, and 92% agree that people skills are more important than ever. Experts have already begun to see general changes on the platform in various ways, including the way the job listings are posted, members’ skills are added to their profiles, and in everyday conversations.

To prepare for the changes, businesses need to understand the skills they have and the skills they need to focus on upskilling and reskilling professionals.

Some of the fastest growing AI-specific skills added to LinkedIn profiles globally in 2022 were tied to GAI, such as question answering and classification:

It’s obvious that AI-related jobs and skills are on the rise. But how exactly are these skills spreading across countries and transforming jobs?

Singapore shows the highest rate over time – the share of members who have added AI skills to their profiles is 20x as compared to January 2016. Finland (16x), Ireland (15x), India (14x), and Canada (13x) round out the top five countries with the highest rates of AI skills adoption.

Software engineers, customer service representatives, salespeople, cashiers, and teachers are the top five occupations that involve skills that are most likely to be affected by generative AI, according to LinkedIn’s findings. The analysis looked at the 14 most common listed occupations of LinkedIn members, and identified skills tied to those roles that are most likely to be augmented by the technology.

Generative AI will affect up to 96% of the skills employed by software engineers, including knowledge of specific programming languages. For salespeople, that figure is 59% and for teachers, it’s 45%, with the tech assisting with tasks like basic lesson planning.

What’s the future of AI in the workplace?

Artificial intelligence is certainly going to play a major role in shaping the future of our workplaces. Even for those AI technologies that are already on the market there are use cases we cannot yet imagine without considering all the new technologies still in development which will come to life in the upcoming years.

The key is to embrace AI as a collaborative tool rather than see it as a threat. Employers must do their part by encouraging workers to use AI and training them to do so.

If you want to learn more about how AI is changing digital marketing, be sure to check out our report: ‘Social Media Reshaped: Unveiling the AI Marketing Revolution.’ Discover practical insights and strategies for harnessing AI’s power in social media management. Get ahead of the curve and access the report now to unlock the future of digital marketing!

Latest Posts

B2B leads go cold when interest is captured before the buying group is ready to move. A form fill shows that someone acted, but it does not mean the decision is ready. Social keeps the commercial conversation alive by carrying proof, building trust and showing what buyers are researching before sales can see it.
Read More
Creative content on social media tends to fall into two camps: the stuff you actually remember, and the stuff you clicked on once… then instantly forgot. We’ve all experienced the second one. The extra dramatic hooks, the “OMG, this will TOTALLY change your life” claims, the slightly over-the-top thumbnails. It’s…
Read More
FMCG brands don’t need more hacks. They need to understand the behaviour behind the feed. This is my particular bugbear right now. The algorithm is only useful when you understand the people behind the signals.  We get endless tips about timing, hooks, formats, posting frequency and “what the algorithm wants”,…
Read More