Ever since ChatGPT burst onto the scene in November 2022, speculation and suspicion surrounding generative AI’s influence and impact on the future of work has been constant.
While there’s no doubt that generative AI’s impact is already being felt thanks to an increased reliance on automation to do jobs that have traditionally been done manually by humans—the World Economic Forum predicts that AI will have replaced 85 million jobs by 2025—that doesn’t mean AI is poised to replace us completely.
In fact, AI presents endless opportunities to accelerate and augment human capabilities and allow workers to go one step further, using vast sets of data to make time-consuming tasks such as reporting or financial forecasting faster and more efficient.
Adding value
“To stay relevant workers will need to learn to integrate AI into their workflows. This involves understanding how AI technologies can complement and enhance their tasks,” offers Adam Liska, co-founder and CEO of Co-founder of Glyphic AI.
It is a sentiment echoed by Pavel Shynkarenko, founder and CEO of international HR tech company Solar Staff who also adds that a positive mindset is essential when assimilating AI into your day-to-day work.
“On the one hand, people may lose their jobs because of the emergence of tools, and on the other hand, they may lose their jobs because someone learned the tools faster,” he says.
“The ability to keep your hands up becomes essential because it gives you the elasticity and hope that things will work out. People with a negative mindset will find it ten times harder to adapt.”
The human touch
However, a positive mindset will only get you so far and workers also need to sharpen their soft skills, AKA the attributes that AI has yet to master.
In its most recent Future of Jobs report, the World Economic Forum proposes that analytical thinking is the number one skill for the future. This is followed by creative thinking and resilience, flexibility and agility.
“The AI future is going to see increasing emphasis on human skills; relationship building, resilience, creativity, originality and the ability to respond to complexity are going to be key to success,” suggests Cecily Motley, co-founder of AI HR platform Harriet.
And while AI might take over some of the heavy lifting, Hywel Carver, CEO and co-founder of Skiller Whale believes that it still has a long way to go.
“The current generation of generative AI models is getting better at some hard skill tasks, but we still need humans to interface between other humans and the AI interfaces themselves,” he explains.
“Since we started developing our live team coaching approach to power skills, we’ve seen huge, huge interest from people who are stepping up from being individual contributors into leadership positions. That’s a great way to emphasise those human skills, because no modern AI is capable of leadership—not yet, anyway.”
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